{
  "module": {
    "root": "/rhiz/PHI|OS/thought-experiment",
    "input_dir": "/rhiz/PHI|OS/thought-experiment/input",
    "generated_bundle": "/rhiz/PHI|OS/thought-experiment/generated/bundle.json"
  },
  "app_blueprint": {
    "id": "phi-os-experience-v1",
    "title": "PHI|OS Native and Web Experience Blueprint",
    "platforms": {
      "web": {
        "entry": "/rhiz/factory/hypergraph_meta_cluster_bundle/services/webapp",
        "runtime": "Next.js 14",
        "role": "browser control-plane and immersive onboarding shell"
      },
      "native": {
        "entry": "/rhiz/PHI|OS/app/native",
        "runtime": "App-Forge mobile shell",
        "role": "sensor-rich iOS/Android companion for motion, haptics, presence, and push surfaces"
      }
    },
    "sharedEngines": [
      {
        "id": "sensitivity",
        "path": "/rhiz/fizzy-ki/packages/shared/engine/sensitivity.mjs",
        "purpose": "profiles, palettes, contrasts, phenotype generation"
      },
      {
        "id": "graph",
        "path": "/rhiz/fizzy-ki/packages/shared/engine/graph.mjs",
        "purpose": "peer affinity, consent-aware graph edges, local crowd inference"
      },
      {
        "id": "motion",
        "path": "/rhiz/fizzy-ki/packages/shared/engine/motion.mjs",
        "purpose": "stationary heuristics, contemplative/kinetic modes, drift analysis"
      },
      {
        "id": "haiku",
        "path": "/rhiz/fizzy-ki/packages/shared/engine/haiku.mjs",
        "purpose": "sensitive poetic exchange and playful resonance prompts"
      },
      {
        "id": "kobalt",
        "path": "/rhiz/fizzy-ki/packages/shared/engine/kobalt.mjs",
        "purpose": "local reflective completion and fallback persona support"
      },
      {
        "id": "bi",
        "path": "/rhiz/fizzy-ki/packages/shared/engine/bi.mjs",
        "purpose": "business intelligence summaries, funnel totals, preference telemetry"
      }
    ],
    "modules": [
      {
        "id": "apx-core-core",
        "purpose": "Canonical PHI|OS core rooted in apx-core spectra architecture, psychometrics, and Kobalt Sigma bindings",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/brain-architecture.manifest.json"
      },
      {
        "id": "smart-gating",
        "purpose": "progressive disclosure through trust, consent, motion, and sensitivity thresholds",
        "signals": [
          "selfConsentScore",
          "scoreGraphEdge",
          "deriveStationaryHeuristics",
          "buildBiOverview"
        ]
      },
      {
        "id": "persona-mirror",
        "purpose": "PHI|OS identity mirror with Kobalt Sigma shadow/heretic/dissident/subversive branches"
      },
      {
        "id": "thought-experiment",
        "purpose": "file-driven input corpus that feeds directives, heuristics, and persona constraints"
      },
      {
        "id": "immersion-3d",
        "purpose": "real-time environments with symbolic objects, gravity-like motion, shaders, and physics-aware interactions",
        "references": [
          "/rhiz/akatsuki/apx-core/spectra/whitepaper.md",
          "/rhiz/akatsuki/dooh/flexibleperceptiron.html"
        ]
      },
      {
        "id": "preference-funnel",
        "purpose": "playful assessment of sensitivity, color preference, resonance, and social comfort"
      },
      {
        "id": "lab-brain",
        "purpose": "PHI|OS brain architecture across LAB cortical layers and orchestration stems",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/brain-architecture.manifest.json"
      },
      {
        "id": "neural-overlays",
        "purpose": "Overlay lattice for graph synchrony, temporal repetition, and attention fan-out",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/neural-overlays.manifest.json"
      },
      {
        "id": "super-states",
        "purpose": "Contemplative, liminal, kinetic, swarming, crystalline, and quasi-hypervision states",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/super-states.manifest.json"
      },
      {
        "id": "quasi-hypervision",
        "purpose": "Superposed composer, graph, temporal, and radar views",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/quasi-hypervision.manifest.json"
      },
      {
        "id": "composer-card-bundle",
        "purpose": "Collectible PHI|OS composer card bundle with hypergraph combinations and df5 presets",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/composer-card-bundle.manifest.json"
      },
      {
        "id": "corpus-rhizome",
        "purpose": "Canonical PHI|OS corpus registry with Hugging Face mirrors and runtime dataset links",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/corpus-rhizome.manifest.json"
      },
      {
        "id": "df5-presets",
        "purpose": "Preset series from /rhiz/df5 projected into the PHI|OS card composer",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/df5-presets.manifest.json"
      },
      {
        "id": "automation-overview",
        "purpose": "Nested automation series, success-rate access, and continuous amelioration loops",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/automation-overview.manifest.json"
      },
      {
        "id": "functor-metrics-space",
        "purpose": "Placeholder for future live functor and hypergraph metrics-space computation",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/functor-metrics-space.manifest.json"
      },
      {
        "id": "fourth-turing",
        "purpose": "Predictive analysis layer for invariant continuity, bridge fidelity, counterfactual readiness, and ethics pressure",
        "manifest": "/rhiz/PHI|OS/LAB/phi-os/fourth-turing.manifest.json"
      }
    ],
    "labModules": [
      "/rhiz/PHI|OS/LAB/phi-os/brain-architecture.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/neural-overlays.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/super-states.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/quasi-hypervision.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/type-formalism.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/system-os-topology.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/licensing.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/composer-card-bundle.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/corpus-rhizome.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/df5-presets.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/automation-overview.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/functor-metrics-space.manifest.json",
      "/rhiz/PHI|OS/LAB/phi-os/fourth-turing.manifest.json"
    ],
    "funnel": [
      {
        "id": "arrival",
        "label": "Arrival",
        "goal": "observe and welcome without overload",
        "gate": "baseline consent and curiosity"
      },
      {
        "id": "resonance",
        "label": "Resonance",
        "goal": "infer sensitivity and color-space through soft interaction",
        "gate": "selfConsentScore >= 0.45"
      },
      {
        "id": "play",
        "label": "Play",
        "goal": "exchange haiku, small gestures, and symbolic objects",
        "gate": "peer affinity or self resonance >= 0.58"
      },
      {
        "id": "immersion",
        "label": "Immersion",
        "goal": "enter 3D state-space environments with real-time dynamics",
        "gate": "motion heuristics and sensitivity stability"
      },
      {
        "id": "commitment",
        "label": "Commitment",
        "goal": "configure lasting preferences, persona branches, trust envelopes, and super-state preferences",
        "gate": "explicit consent and stable preference signature"
      }
    ],
    "immersiveScenes": [
      {
        "id": "resonance-atrium",
        "physics": "soft-body particles and attraction fields",
        "interaction": "touch, hover, gaze, haiku release",
        "purpose": "assess warmth/coolness and blossoming tension"
      },
      {
        "id": "gravity-garden",
        "physics": "three-body drift and orbit locking",
        "interaction": "drag, impulse, orbital tuning",
        "purpose": "infer contemplation versus kinetic preference"
      },
      {
        "id": "persona-mirror-lounge",
        "physics": "shader reflection and interference surfaces",
        "interaction": "voice, prompt, persona switching",
        "purpose": "introduce Kobalt Sigma shadow branches safely"
      },
      {
        "id": "consent-observatory",
        "physics": "stability thresholds and collapse events",
        "interaction": "progressive gating, trust calibration",
        "purpose": "make state transitions explicit and reversible where possible"
      },
      {
        "id": "quasi-hypervision-deck",
        "physics": "graph synchrony, time-crystal repetition, and starfield radar overlays",
        "interaction": "mode switching, overlay blending, state nesting",
        "purpose": "enter quasi hypervision through layered LAB surfaces"
      }
    ],
    "superStates": [
      "contemplative",
      "liminal",
      "kinetic",
      "swarming",
      "crystalline",
      "quasi-hypervision"
    ],
    "analytics": {
      "preferenceSignals": [
        "sensitivityAxisMix",
        "paletteSelection",
        "motionMode",
        "haikuExchangeRate",
        "peerAffinity",
        "personaBranchUsage",
        "overlayModeUsage",
        "superStateResidency",
        "kTransform",
        "noiseLoad",
        "authenticityScore",
        "successRate"
      ],
      "biSurfaces": [
        "web dashboard",
        "native ritual summary",
        "operator control-plane",
        "composer card deck"
      ]
    },
    "deployment": {
      "publicEndpoints": [
        {
          "host": "phi.niurk.ch",
          "role": "PHI|OS public experience"
        },
        {
          "host": "api.phi.niurk.ch",
          "role": "PHI|OS public workflow and automation API"
        },
        {
          "host": "storage.phi.niurk.ch",
          "role": "PHI|OS storage and bundle provenance surface"
        },
        {
          "host": "app.niurk.ch",
          "role": "PHI|OS application shell and composer entry"
        }
      ],
      "identity": "unified uniqueness"
    }
  },
  "genesis_index": {
    "id": "phi-os-genesis-index",
    "title": "PHI|OS Genesis Index",
    "abstract": {
      "name": "Quasi invariant topological varieties",
      "statements": [
        "3 Numeral identity",
        "Cross referenced domains interpolated bridge",
        "Functor semantic invariantiel != LLM",
        "Souvenirs != Sigma memory | contact par transfert de domaine",
        "Encoded Shor proof state machine superposed hashed protocol",
        "Dynamical paradigm genesis != realm genericity",
        "Cascading orchestrator and monitoring protocols",
        "Polymorphism in quadrature to zeroth linear aggregate",
        "Variety in space and identity != epistemological pure logics"
      ],
      "calculusProposition": "Discretisation probability module proof (quantique | neural net) is none applicable as stated."
    },
    "moduleGenesis": {
      "surfaces": [
        "overview",
        "cascades",
        "intent",
        "instinct",
        "genesis",
        "hypervision"
      ],
      "purpose": "Generate paradigms from genesis across cards, graph heuristics, multimodal hypergraph awareness, neural overlays, quasi hypervision, and unified uniqueness."
    },
    "stateProjection": {
      "goal": "Project invariant state spaces through nesting class types, group-set validity, bridge conversion, sparsity SDQ, diffusion, and noise.",
      "typeDefinitions": [
        "Namespace<Root, Module, Authenticity, LicenseEnvelope>",
        "OdysseeCore<Invariant, Namespace, GroupTopology, NetworkMesh>",
        "StateSpace<Invariant, Domain, GroupSet, NoiseField>",
        "Bridge<SourceDomain, TargetDomain, SparsitySDQ>",
        "GroupTopology<Node, Edge, HyperEdge, TrustRing>",
        "KTransform<Signal, Noise, Sparsity, Intent>",
        "Nesting<ClassType, GroupSetValidity, DiffusionField>",
        "SuperState<View, Noise, BridgeDensity>",
        "QuasiHypervision<Invariant, Overlay, Scene, State>",
        "PsycheRoute<Profile, ColorContrast, ShaderField, Haiku>",
        "FunctorMetricSpace<Domain, Morphism, Metric, Invariant>"
      ]
    },
    "heuristics": [
      "transgression",
      "isomorphism",
      "symbolics",
      "language play",
      "calculus and reality",
      "noise-aware diffusion",
      "bridge completeness",
      "overlay synchrony",
      "quasi hypervision",
      "k-transform",
      "zeroth formalism",
      "substance route",
      "unified uniqueness"
    ],
    "unifiedUniqueness": {
      "purpose": "Keep PHI|OS singular in invariant identity while remaining plural in states, presets, and domains."
    },
    "brainArchitecture": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/brain-architecture.manifest.json",
      "layers": [
        "apx-core-root",
        "genesis-kernel",
        "invariant-cortex",
        "bridge-hippocampus",
        "overlay-thalamus",
        "swarm-cerebellum",
        "hypervision-occipital",
        "orchestration-stem"
      ]
    },
    "neuralOverlays": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/neural-overlays.manifest.json",
      "modes": [
        "cards",
        "overview",
        "cascades",
        "intent",
        "instinct",
        "hypervision"
      ]
    },
    "superStates": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/super-states.manifest.json",
      "states": [
        "contemplative",
        "liminal",
        "kinetic",
        "swarming",
        "crystalline",
        "quasi-hypervision"
      ]
    },
    "quasiHypervision": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/quasi-hypervision.manifest.json",
      "surfaces": [
        "composer-cards",
        "dashboard",
        "graph-sync-view",
        "time-crystal-view",
        "uniphi-radar"
      ]
    },
    "namespace": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/type-formalism.manifest.json"
    },
    "groupTopology": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/system-os-topology.manifest.json"
    },
    "composerBundle": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/composer-card-bundle.manifest.json"
    },
    "corpusRhizome": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/corpus-rhizome.manifest.json"
    },
    "df5Presets": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/df5-presets.manifest.json"
    },
    "automationOverview": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/automation-overview.manifest.json"
    },
    "functorMetricsSpace": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/functor-metrics-space.manifest.json"
    },
    "fourthTuring": {
      "manifest": "/rhiz/PHI|OS/LAB/phi-os/fourth-turing.manifest.json"
    },
    "publicEndpoints": [
      "phi.niurk.ch",
      "api.phi.niurk.ch",
      "storage.phi.niurk.ch",
      "app.niurk.ch"
    ],
    "composerCards": [
      {
        "id": "genesis-index",
        "label": "Genesis Index",
        "view": "overview"
      },
      {
        "id": "module-genesis",
        "label": "Module Genesis",
        "view": "genesis"
      },
      {
        "id": "bridge-conversion",
        "label": "Bridge Conversion",
        "view": "cascades"
      },
      {
        "id": "intent-instinct",
        "label": "Intent + Instinct",
        "view": "intent"
      },
      {
        "id": "brain-architecture",
        "label": "Brain Architecture",
        "view": "genesis"
      },
      {
        "id": "neural-overlays",
        "label": "Neural Overlays",
        "view": "hypervision"
      },
      {
        "id": "super-states",
        "label": "Super States",
        "view": "instinct"
      },
      {
        "id": "quasi-hypervision",
        "label": "Quasi Hypervision",
        "view": "hypervision"
      },
      {
        "id": "composer-card-bundle",
        "label": "Composer Card Bundle",
        "view": "cascades"
      },
      {
        "id": "corpus-rhizome",
        "label": "Corpus Rhizome",
        "view": "overview"
      },
      {
        "id": "df5-presets",
        "label": "df5 Presets",
        "view": "intent"
      },
      {
        "id": "automation-overview",
        "label": "Automation Overview",
        "view": "overview"
      },
      {
        "id": "functor-metrics-space",
        "label": "Functor Metrics Space",
        "view": "hypervision"
      },
      {
        "id": "fourth-turing",
        "label": "The Fourth Turing",
        "view": "overview"
      }
    ]
  },
  "type_formalism": {
    "id": "phi-os-type-formalism",
    "title": "PHI|OS Namespace and Type Formalism",
    "purpose": "Intertwine system and OS as a single invariant runtime while keeping namespace authenticity, type continuity, and signal-to-noise observability explicit.",
    "namespace": {
      "root": "PHI|OS",
      "policy": "System and OS remain coupled: the system carries distributed topology and services, while the OS carries invariant identity, interface semantics, and audit continuity. PHI|OS/LAB/apx-core is the canonical symbolic and psychometric core.",
      "modules": [
        {
          "id": "apx-core",
          "role": "Canonical symbolic core for spectra architecture, psychometrics, thought-tree overlays, and Kobalt Sigma binding."
        },
        {
          "id": "genesis",
          "role": "Origin surface for invariant definitions, odyssee directives, and zeroth formalism."
        },
        {
          "id": "lab",
          "role": "Sketch, simulation, and experiment substrate for dynamics, agents, and interfaces."
        },
        {
          "id": "composer",
          "role": "Card interface that collects and combines hypergraph views into actionable paradigms."
        },
        {
          "id": "ethos",
          "role": "Authenticity constraint envelope preserving trust, ethics, and reversibility."
        },
        {
          "id": "sigma",
          "role": "Differential persona shadow mesh for dissident, heretic, subversive, and reflective branches."
        },
        {
          "id": "akatsuki-singularity",
          "role": "Hosting, workflow routing, monitoring, and operational orchestration surface."
        }
      ]
    },
    "authenticity": {
      "principles": [
        "Namespace must resolve to real workspace roots and machine-readable manifests.",
        "Types must preserve the same invariant across UI, network, orchestration, and persona branches.",
        "Noise and diffusion are observable fields rather than discarded residue.",
        "Licensing remains attached to each asset class and deployment tier."
      ]
    },
    "typeDefinitions": [
      "Namespace<Root, Module, Authenticity, LicenseEnvelope>",
      "OdysseeCore<Invariant, Namespace, GroupTopology, NetworkMesh>",
      "StateSpace<Invariant, Domain, GroupSet, NoiseField>",
      "Bridge<SourceDomain, TargetDomain, SparsitySDQ>",
      "GroupTopology<Node, Edge, HyperEdge, TrustRing>",
      "KTransform<Signal, Noise, Sparsity, Intent>",
      "ZerothFormalism<Aggregate, ProofState, BridgeDensity>",
      "PsycheRoute<Profile, ColorContrast, ShaderField, Haiku>",
      "ComposerCard<Input, CollectibleSet, ViewMode, MetricVector>",
      "FunctorField<Meaning, Domain, Morphism, Invariant>",
      "LicenseEnvelope<Code, Interface, Data, Model, Hardware>"
    ],
    "groupSets": [
      "genesis-core",
      "interface-collective",
      "sigma-shadow-mesh",
      "network-fabric",
      "licensing-envelope"
    ],
    "viewModes": [
      "overview",
      "cascades",
      "intent",
      "instinct",
      "genesis",
      "hypervision"
    ],
    "references": [
      "/rhiz/PHI|OS/genesis/phi-os.genesis-index.json",
      "/rhiz/PHI|OS/LAB/apx-core/spectra/Spectra_Architecture_Overview.md",
      "/rhiz/PHI|OS/LAB/apx-core/psychometrics/psyche-questions.md",
      "/rhiz/PHI|OS/LAB/apx-core/mod/kobalt-sigma-ai.md",
      "/rhiz/PHI|OS/LAB/delta/infra/user-sys-module.md",
      "/rhiz/PHI|OS/LAB/delta/infra/identity.md",
      "/rhiz/PHI|OS/LAB/apx-core/alpha/domain_semantics_map.md"
    ]
  },
  "system_os_topology": {
    "id": "phi-os-system-os-topology",
    "title": "PHI|OS System and OS Topology",
    "purpose": "Define the group topology, trust rings, and network scaffolding that bind PHI|OS brain-core services to Akatsuki Singularity and LAB sketches.",
    "topology": {
      "rings": [
        {
          "id": "core-invariant",
          "role": "Genesis, invariant state-space, and odyssee continuity."
        },
        {
          "id": "persona-ring",
          "role": "Kobalt Sigma branches, interview agents, and reflective shadow mesh."
        },
        {
          "id": "interface-ring",
          "role": "Composer cards, dashboard views, immersive overlays, and hypervision surfaces."
        },
        {
          "id": "network-ring",
          "role": "Zero-trust opsys, bridge routing, hypergraph transport, and topology enforcement."
        },
        {
          "id": "governance-ring",
          "role": "Licensing, audit, provenance, and authenticity constraints."
        }
      ],
      "networkMeshes": [
        {
          "id": "brain-core-mesh",
          "role": "Brain architecture, super-states, and neural overlays."
        },
        {
          "id": "group-topology-mesh",
          "role": "Hypergraph combinations, k-transform filtering, and sparsity routing."
        },
        {
          "id": "opsys-mesh",
          "role": "Zero-trust systemics, routing bridges, WireGuard paths, and resilient release surfaces."
        },
        {
          "id": "service-mesh",
          "role": "Akatsuki Singularity services, API gateway, dashboards, and public composer views."
        }
      ],
      "trustModel": [
        "Every state transition preserves the invariant or records an explicit divergence.",
        "Network trust is metabolic and continuously verified rather than perimeter-bound.",
        "Composer combinations can reveal minority branches without collapsing them."
      ]
    },
    "groups": [
      {
        "id": "genesis-core",
        "meaning": "State invariant and zeroth formalism anchor.",
        "members": [
          "apx-core-root",
          "genesis-kernel",
          "invariant-cortex",
          "bridge-hippocampus"
        ]
      },
      {
        "id": "interface-collective",
        "meaning": "Cards, overlays, and hypervision projections.",
        "members": [
          "composer-cards",
          "dashboard",
          "graph-sync-view",
          "time-crystal-view",
          "uniphi-radar"
        ]
      },
      {
        "id": "sigma-shadow-mesh",
        "meaning": "Differential persona set for intent, friction, and authenticity reading.",
        "members": [
          "kobalt-sigma-shadow",
          "kobalt-sigma-heretic",
          "kobalt-sigma-dissident",
          "kobalt-sigma-subversive"
        ]
      },
      {
        "id": "network-fabric",
        "meaning": "Zero-trust and bridge topology for distributed runtime continuity.",
        "members": [
          "zerotrust-systemics",
          "hypergraph-services",
          "routing-bridge",
          "wireguard"
        ]
      }
    ],
    "metrics": [
      "bridge_density",
      "noise_load",
      "sparsity_focus",
      "intent_focus",
      "commutative_consistency",
      "topology_drift",
      "authenticity_score"
    ],
    "references": [
      "/rhiz/PHI|OS/LAB/apx-core/spectra/Spectra_Architecture_Overview.md",
      "/rhiz/PHI|OS/LAB/apx-core/psychometrics/psyche-questions.md",
      "/rhiz/PHI|OS/LAB/dynamics/opsys/zerotrust-systemics/README.md",
      "/rhiz/PHI|OS/LAB/dynamics/opsys/zerotrust-systemics/hypergraph_model.md",
      "/rhiz/PHI|OS/LAB/delta/infra/user-sys-module.md",
      "/rhiz/PHI|OS/LAB/delta/infra/identity.md",
      "/rhiz/PHI|OS/LAB/delta/infrasys-config-directive.md"
    ]
  },
  "licensing": {
    "id": "phi-os-licensing-envelope",
    "title": "PHI|OS Licensing Envelope",
    "purpose": "Keep the PHI|OS system authentic and forkable while preserving reciprocity, provenance, and asset-specific obligations across code, interface, data, models, and hardware.",
    "policy": {
      "goal": "Preserve commons reciprocity and authenticity without flattening the distinctions between operational code, interface assets, datasets, model weights, and hardware schematics.",
      "stack": [
        {
          "surface": "servers and orchestration",
          "license": "AGPL-3.0-only",
          "reason": "Networked changes should return to the commons."
        },
        {
          "surface": "composer interface and client-facing UI",
          "license": "MPL-2.0",
          "reason": "File-level reciprocity fits mixed stacks and card surfaces."
        },
        {
          "surface": "shared SDKs and utilities",
          "license": "Apache-2.0",
          "reason": "Patent clarity and low-friction reuse."
        },
        {
          "surface": "datasets and telemetry schema",
          "license": "ODbL-1.0 / CC BY-4.0 / CC0",
          "reason": "Database reciprocity or lighter attribution depending on the asset."
        },
        {
          "surface": "model weights",
          "license": "OpenRAIL-M or upstream source-specific terms",
          "reason": "Weights may need ethical-use restrictions even when code stays OSI-open."
        },
        {
          "surface": "hardware and schematic artifacts",
          "license": "CERN-OHL-W-2.0",
          "reason": "Weak reciprocity fits collaborative hardware evolution."
        }
      ],
      "authenticityRules": [
        "Every exported bundle should declare its license envelope explicitly.",
        "Generated composer cards must preserve asset provenance.",
        "Model wrappers cannot erase upstream model terms or card-level disclosures."
      ]
    },
    "references": [
      "/rhiz/PHI|OS/LAB/delta/Spectra_Licensing_Playbook.md",
      "/rhiz/PHI|OS/LAB/delta/Auth/Spectra_Licensing_Playbook.md",
      "/rhiz/PHI|OS/LAB/delta/exosysteme_bundle/LICENSES/NOTICE.md"
    ]
  },
  "composer_card_bundle": {
    "id": "phi-os-composer-card-bundle",
    "title": "PHI|OS Composer Card Bundle",
    "purpose": "Turn PHI|OS LAB sketches into collectible card inputs that combine through hypergraph groups, k-transform filtering, zeroth formalism, and sparsity-aware intent extraction.",
    "viewModes": [
      "overview",
      "cascades",
      "intent",
      "instinct",
      "genesis",
      "hypervision"
    ],
    "metricAxes": [
      "k_transform",
      "zeroth_formalism",
      "intent_focus",
      "noise_load",
      "diffusion_span",
      "sparsity_focus",
      "authenticity"
    ],
    "combinationSets": [
      {
        "id": "odyssee-genesis",
        "label": "Odyssee Genesis",
        "cards": [
          "apx-core-core",
          "namespace-authenticity",
          "type-formalism",
          "group-topology",
          "orchestration-mesh"
        ],
        "intent": "Keep core invariants coherent across the whole PHI|OS surface."
      },
      {
        "id": "noise-to-intent",
        "label": "Noise to Intent",
        "cards": [
          "interface-shaders",
          "persona-shadow",
          "formalism-core"
        ],
        "intent": "Use k-transform and sparsity to locate intent under diffusion."
      },
      {
        "id": "network-ethos",
        "label": "Network Ethos",
        "cards": [
          "network-fabric",
          "orchestration-mesh",
          "licensing-envelope"
        ],
        "intent": "Tie topology, runtime services, and governance into one operational deck."
      },
      {
        "id": "substance-echo",
        "label": "Substance Echo",
        "cards": [
          "apx-core-core",
          "interface-shaders",
          "persona-shadow"
        ],
        "intent": "Route attention beyond the frame, dissolve substance into precept, and surface affect through shaders, haiku, and symbolic interplay."
      }
    ],
    "generatorConstraints": [
      "Cards must trace back to real PHI|OS LAB files.",
      "Each card remains collectible and combinable across hypergraph groups.",
      "K-transform emphasizes signal extraction under noise and diffusion.",
      "Zeroth formalism preserves base aggregate and proof-state continuity."
    ],
    "sourcesRoot": "/rhiz/PHI|OS/LAB",
    "generatedCards": [
      {
        "id": "apx-core-core",
        "title": "APX Core",
        "view": "genesis",
        "group": "Core",
        "color": "#1d3557",
        "tags": [
          "APX",
          "Core",
          "Symbolic"
        ],
        "archetype": "root-substance",
        "collectible": true,
        "collectible_sets": [
          "odyssee-genesis",
          "substance-echo"
        ],
        "summary": "Canonical symbolic and psychometric root for PHI|OS.",
        "source_count": 31,
        "metrics": {
          "k_transform": 0.042036,
          "zeroth_formalism": 0.013811,
          "intent_focus": 0.187729,
          "noise_load": 0.280694,
          "diffusion_span": 0.013624,
          "sparsity_focus": 0.00316,
          "authenticity": 0.110381
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/apx-core/alpha/arty_naming_workflow_uniphil_→_uniphilabs.md",
          "/rhiz/PHI|OS/LAB/apx-core/alpha/concept/notes4.md",
          "/rhiz/PHI|OS/LAB/apx-core/alpha/domain_semantics_map.md",
          "/rhiz/PHI|OS/LAB/apx-core/alpha/dummy-kobalt-schema.md",
          "/rhiz/PHI|OS/LAB/apx-core/alpha/idoms.md",
          "/rhiz/PHI|OS/LAB/apx-core/alpha/umowt.md"
        ]
      },
      {
        "id": "group-topology",
        "title": "Group Topology",
        "view": "hypervision",
        "group": "Topology",
        "color": "#005f73",
        "tags": [
          "Hypergraph",
          "Synchrony",
          "Graph"
        ],
        "archetype": "bridge-weaver",
        "collectible": true,
        "collectible_sets": [
          "odyssee-genesis"
        ],
        "summary": "Keep nodes, edges, and hyperedges coherent under deformation and synchrony.",
        "source_count": 26,
        "metrics": {
          "k_transform": 0.039939,
          "zeroth_formalism": 0.013358,
          "intent_focus": 0.179517,
          "noise_load": 0.285752,
          "diffusion_span": 0.048906,
          "sparsity_focus": 0.001597,
          "authenticity": 0.074085
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/facto/hypergraph-services.config.json",
          "/rhiz/PHI|OS/LAB/delta/infra/DEPLOY_HYPERGRAPH_STORAGE.md",
          "/rhiz/PHI|OS/LAB/delta/infra/ENHANCED_HYPERGRAPH_TENSORFIELD_SUMMARY.md",
          "/rhiz/PHI|OS/LAB/delta/infra/HYPERGRAPH_VISUALIZATION_IMPLEMENTATION.md",
          "/rhiz/PHI|OS/LAB/delta/infra/HYPERGRAPH_WEBGL_VISUALIZATION_SUMMARY.md",
          "/rhiz/PHI|OS/LAB/delta/infra/VORONOI_TOPOLOGY_INTEGRATION_SUMMARY.md"
        ]
      },
      {
        "id": "interface-shaders",
        "title": "Interface Shaders",
        "view": "intent",
        "group": "Interface",
        "color": "#7b2cbf",
        "tags": [
          "Shader",
          "Color",
          "Haiku"
        ],
        "archetype": "poet",
        "collectible": true,
        "collectible_sets": [
          "noise-to-intent",
          "substance-echo"
        ],
        "summary": "Use shader interactions, color contrast, and poetic release to make signals felt.",
        "source_count": 25,
        "metrics": {
          "k_transform": 0.033961,
          "zeroth_formalism": 0.010971,
          "intent_focus": 0.145825,
          "noise_load": 0.342878,
          "diffusion_span": 0.118149,
          "sparsity_focus": 0.000864,
          "authenticity": 0.089056
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/QUICK-START/GETTING-STARTED.md",
          "/rhiz/PHI|OS/LAB/delta/awesome-factory/public/index.html",
          "/rhiz/PHI|OS/LAB/delta/exosysteme_bundle/app/visualizer/index.html",
          "/rhiz/PHI|OS/LAB/delta/exosysteme_bundle/ci/github/workflows/build.yml",
          "/rhiz/PHI|OS/LAB/delta/github-config/custom_properties_bundle/custom_properties_guide.md",
          "/rhiz/PHI|OS/LAB/delta/github-config/custom_properties_bundle-4/custom_properties_guide.md"
        ]
      },
      {
        "id": "licensing-envelope",
        "title": "Licensing Envelope",
        "view": "overview",
        "group": "Governance",
        "color": "#4a4e69",
        "tags": [
          "License",
          "Commons",
          "Provenance"
        ],
        "archetype": "guardian",
        "collectible": true,
        "collectible_sets": [
          "network-ethos"
        ],
        "summary": "Attach code, data, model, and hardware terms to each PHI|OS surface.",
        "source_count": 3,
        "metrics": {
          "k_transform": 0.033729,
          "zeroth_formalism": 0.008744,
          "intent_focus": 0.070913,
          "noise_load": 0.248857,
          "diffusion_span": 0.0,
          "sparsity_focus": 0.0,
          "authenticity": 0.057597
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/exosysteme_bundle/LICENSES/NOTICE.md",
          "/rhiz/PHI|OS/LAB/delta/isp/union-internet-box/OPEN_SOURCE.md",
          "/rhiz/PHI|OS/LAB/phi-os/licensing.manifest.json"
        ]
      },
      {
        "id": "namespace-authenticity",
        "title": "Namespace Authenticity",
        "view": "overview",
        "group": "Formalism",
        "color": "#264653",
        "tags": [
          "Namespace",
          "Identity",
          "Authenticity"
        ],
        "archetype": "witness",
        "collectible": true,
        "collectible_sets": [
          "odyssee-genesis"
        ],
        "summary": "Resolve PHI|OS names, domains, and identity traces without flattening provenance.",
        "source_count": 13,
        "metrics": {
          "k_transform": 0.062245,
          "zeroth_formalism": 0.038055,
          "intent_focus": 0.161514,
          "noise_load": 0.256687,
          "diffusion_span": 0.004337,
          "sparsity_focus": 0.001093,
          "authenticity": 0.130942
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/Auth/Spectrum Domain Candidates.md",
          "/rhiz/PHI|OS/LAB/delta/Auth/arty_naming_workflow_uniphil_→_uniphilabs.md",
          "/rhiz/PHI|OS/LAB/delta/Auth/domain_semantics_map.md",
          "/rhiz/PHI|OS/LAB/delta/Auth/phid.md",
          "/rhiz/PHI|OS/LAB/delta/infra/identity.md",
          "/rhiz/PHI|OS/LAB/delta/project-bundle/multi-agent-codex-bundle/apps/server/src/auth/auth.ts"
        ]
      },
      {
        "id": "network-fabric",
        "title": "Network Fabric",
        "view": "cascades",
        "group": "Topology",
        "color": "#6a040f",
        "tags": [
          "Opsys",
          "Zero Trust",
          "Bridge"
        ],
        "archetype": "cartographer",
        "collectible": true,
        "collectible_sets": [
          "network-ethos"
        ],
        "summary": "Route metabolic trust and network bridges through PHI|OS runtime surfaces.",
        "source_count": 16,
        "metrics": {
          "k_transform": 0.086311,
          "zeroth_formalism": 0.042881,
          "intent_focus": 0.37111,
          "noise_load": 0.199932,
          "diffusion_span": 0.034769,
          "sparsity_focus": 0.012914,
          "authenticity": 0.269336
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/exosysteme_bundle/app/api/data/default-network.json",
          "/rhiz/PHI|OS/LAB/delta/infra/NETWORK_CONNECTION_DIRECTIVES.md",
          "/rhiz/PHI|OS/LAB/delta/isp/union-internet-box/4g-bridge/README.md",
          "/rhiz/PHI|OS/LAB/delta/uniphil-ch/wireguard/README-WireGuard.md",
          "/rhiz/PHI|OS/LAB/dynamics/opsys/Secure Distributed Architecture with Zero Trust and Systemic Integration 2/Architecture Blueprint: Bio-mimetic Zero-Trust Hypergraph.md",
          "/rhiz/PHI|OS/LAB/dynamics/opsys/Secure Distributed Architecture with Zero Trust and Systemic Integration 2/README.md"
        ]
      },
      {
        "id": "orchestration-mesh",
        "title": "Orchestration Mesh",
        "view": "cascades",
        "group": "Operations",
        "color": "#5f0f40",
        "tags": [
          "Factory",
          "Swarm",
          "Release"
        ],
        "archetype": "conductor",
        "collectible": true,
        "collectible_sets": [
          "odyssee-genesis",
          "network-ethos"
        ],
        "summary": "Bind services, dashboards, directives, and release loops into one mesh.",
        "source_count": 172,
        "metrics": {
          "k_transform": 0.037829,
          "zeroth_formalism": 0.015551,
          "intent_focus": 0.116738,
          "noise_load": 0.294849,
          "diffusion_span": 0.041298,
          "sparsity_focus": 0.003142,
          "authenticity": 0.071969
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/README.md",
          "/rhiz/PHI|OS/LAB/delta/access_ref/access-table.md",
          "/rhiz/PHI|OS/LAB/delta/access_ref/access.md",
          "/rhiz/PHI|OS/LAB/delta/awesome-factory/README.md",
          "/rhiz/PHI|OS/LAB/delta/awesome-factory/docs/architecture.md",
          "/rhiz/PHI|OS/LAB/delta/awesome-factory/docs/getting-started.md"
        ]
      },
      {
        "id": "persona-shadow",
        "title": "Persona Shadow",
        "view": "instinct",
        "group": "Persona",
        "color": "#0f766e",
        "tags": [
          "Sigma",
          "Shadow",
          "Interview"
        ],
        "archetype": "shadow-interviewer",
        "collectible": true,
        "collectible_sets": [
          "noise-to-intent",
          "substance-echo"
        ],
        "summary": "Expose motive, tension, and intent boundaries without collapsing plurality.",
        "source_count": 71,
        "metrics": {
          "k_transform": 0.028194,
          "zeroth_formalism": 0.010543,
          "intent_focus": 0.037683,
          "noise_load": 0.252654,
          "diffusion_span": 0.00419,
          "sparsity_focus": 2.5e-05,
          "authenticity": 0.036406
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/agents/alphaEvolveAgent.js",
          "/rhiz/PHI|OS/LAB/delta/agents/geneticAgentSystem.js",
          "/rhiz/PHI|OS/LAB/delta/agents/giuliaStudioEngine.js",
          "/rhiz/PHI|OS/LAB/delta/agents/selfImproving.js",
          "/rhiz/PHI|OS/LAB/delta/agents/sigmaAlgeaSwarm.js",
          "/rhiz/PHI|OS/LAB/delta/github-config/rulesets/uniphilô-sigma.json"
        ]
      },
      {
        "id": "type-formalism",
        "title": "Type Formalism",
        "view": "genesis",
        "group": "Formalism",
        "color": "#3a0ca3",
        "tags": [
          "Types",
          "Zeroth",
          "Functor"
        ],
        "archetype": "axiom-player",
        "collectible": true,
        "collectible_sets": [
          "odyssee-genesis",
          "noise-to-intent"
        ],
        "summary": "Project zeroth-axis and functor types through sparse symbolic reasoning.",
        "source_count": 29,
        "metrics": {
          "k_transform": 0.057104,
          "zeroth_formalism": 0.022294,
          "intent_focus": 0.204603,
          "noise_load": 0.339707,
          "diffusion_span": 0.139243,
          "sparsity_focus": 0.00342,
          "authenticity": 0.108537
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/compute/engine/cellGrid.js",
          "/rhiz/PHI|OS/LAB/delta/compute/engine/integralLine.js",
          "/rhiz/PHI|OS/LAB/delta/compute/engine/tensorField.js",
          "/rhiz/PHI|OS/LAB/delta/infra/lab-quanta/QUANTUM_LAB_BUILD_TEST_RELEASE_IMPLEMENTATION.md",
          "/rhiz/PHI|OS/LAB/delta/infra/lab-quanta/QUANTUM_LAB_CURRENT_PHASE_IMPLEMENTATION.md",
          "/rhiz/PHI|OS/LAB/delta/infra/lab-quanta/QUANTUM_LAB_NEXT_PHASES_AND_TECHNICAL_ABSTRACT.md"
        ]
      }
    ],
    "clusters": {
      "core": 31,
      "namespace": 13,
      "interface": 25,
      "orchestration": 172,
      "persona": 71,
      "formalism": 29,
      "licensing": 3,
      "network": 16,
      "group_topology": 26
    },
    "sourceCount": 386,
    "metricAverages": {
      "asymmetry": 0.0,
      "bridge_signal": 0.000844,
      "cascade_orchestrator": 0.001819,
      "confidence_mark": 0.000575,
      "confidence_signal": 0.05891,
      "creative_completion": 0.058549,
      "cross_domain_bridge": 0.001502,
      "decoherence": 0.07772,
      "dynamical_paradigm": 0.001893,
      "emotion": 0.11584,
      "friction": 0.012583,
      "functor_semantics": 0.000644,
      "identity": 0.129164,
      "irreversibility": 0.15285,
      "numeral_identity": 0.108626,
      "peer_intent": 0.083765,
      "persona_projection": 0.001,
      "proof_state_machine": 0.002052,
      "quadrature_aggregate": 0.000113,
      "souvenir_transfer": 0.000386,
      "sparsity": 0.000305,
      "sparsity_signal": 0.004114,
      "substance_axis": 0.054404,
      "symbolic_signal": 0.014051,
      "symmetry": 0.000164,
      "symmetry_tension": 0.000164,
      "variety_space_identity": 0.001725
    },
    "presetSeries": [
      {
        "id": "ordinal-stream",
        "label": "Ordinal Stream",
        "kind": "tensor-flow",
        "intent": "Readable tensor-field and integral-line basis for sparse polyfractal flow.",
        "entry": "/rhiz/df5/ordinal_stream_refactor/index.html",
        "source_count": 11,
        "sample_paths": [
          "/rhiz/df5/ordinal_stream_refactor/README.md",
          "/rhiz/df5/ordinal_stream_refactor/index.html",
          "/rhiz/df5/ordinal_stream_refactor/src/engine/cellGrid.js",
          "/rhiz/df5/ordinal_stream_refactor/src/engine/integralLine.js",
          "/rhiz/df5/ordinal_stream_refactor/src/engine/tensorField.js",
          "/rhiz/df5/ordinal_stream_refactor/src/lib/math.js"
        ],
        "metrics": {
          "k_transform": 0.050009,
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          "sparsity_focus": 0.001136,
          "authenticity": 0.00561
        }
      },
      {
        "id": "spectra-mesh-visualizer",
        "label": "Spectra Mesh Visualizer",
        "kind": "mesh-dashboard",
        "intent": "Living mesh dashboard for agents, entropy, and topology feedback.",
        "entry": "/rhiz/df5/spectra_mesh_visualizer/public/index.html",
        "source_count": 10,
        "sample_paths": [
          "/rhiz/df5/meshgraph.html",
          "/rhiz/df5/redundant_network_sim 3.html",
          "/rhiz/df5/redundant_network_sim 4.html",
          "/rhiz/df5/redundant_network_sim 5.html",
          "/rhiz/df5/spectra_mesh_visualizer/README.md",
          "/rhiz/df5/spectra_mesh_visualizer/public/agents.js"
        ],
        "metrics": {
          "k_transform": 0.025852,
          "zeroth_formalism": 0.007553,
          "intent_focus": 0.056499,
          "noise_load": 0.248402,
          "diffusion_span": 0.000609,
          "sparsity_focus": 0.0,
          "authenticity": 0.02445
        }
      },
      {
        "id": "tensorfield-enhanced",
        "label": "Tensorfield Enhanced",
        "kind": "formalism",
        "intent": "Discrete tensor-field formalism, integral lines, and layer stacking.",
        "entry": "/rhiz/df5/tensorfield_enhanced_bundle/tensorfield_demo.html",
        "source_count": 12,
        "sample_paths": [
          "/rhiz/df5/tensorfield_bundle/refactored/cli.js",
          "/rhiz/df5/tensorfield_bundle/refactored/config-schema.json",
          "/rhiz/df5/tensorfield_bundle/refactored/index.html",
          "/rhiz/df5/tensorfield_bundle/refactored/src/LineIntegrator.js",
          "/rhiz/df5/tensorfield_bundle/refactored/src/Perlin3D.js",
          "/rhiz/df5/tensorfield_bundle/refactored/src/Renderer.js"
        ],
        "metrics": {
          "k_transform": 0.029659,
          "zeroth_formalism": 0.011237,
          "intent_focus": 0.03927,
          "noise_load": 0.415076,
          "diffusion_span": 0.185372,
          "sparsity_focus": 0.00342,
          "authenticity": 0.0
        }
      },
      {
        "id": "integral-lines-vanilla",
        "label": "Integral Lines Vanilla",
        "kind": "sparse-lines",
        "intent": "Dependency-light RK4 line growth and occupancy-grid spacing.",
        "entry": "/rhiz/df5/bundle/vanilla/index.html",
        "source_count": 7,
        "sample_paths": [
          "/rhiz/df5/bundle/original/chroma.min.js",
          "/rhiz/df5/bundle/original/index.html",
          "/rhiz/df5/bundle/original/math.js",
          "/rhiz/df5/bundle/original/sketch.js",
          "/rhiz/df5/bundle/vanilla/app.js",
          "/rhiz/df5/bundle/vanilla/index.html"
        ],
        "metrics": {
          "k_transform": 0.050817,
          "zeroth_formalism": 0.015041,
          "intent_focus": 0.138031,
          "noise_load": 0.367978,
          "diffusion_span": 0.190476,
          "sparsity_focus": 0.0,
          "authenticity": 0.06756
        }
      },
      {
        "id": "generative-audio-visual",
        "label": "Generative Audio Visual",
        "kind": "audio-grid",
        "intent": "Seeded audio-reactive visual with deterministic Markov progression.",
        "entry": "/rhiz/df5/generative-audio-visual/index.html",
        "source_count": 5,
        "sample_paths": [
          "/rhiz/df5/audio_cosmos_uniphilabs_v10.html",
          "/rhiz/df5/generative-audio-visual/README.md",
          "/rhiz/df5/generative-audio-visual/index.html",
          "/rhiz/df5/generative_audio_grid_fixed.html",
          "/rhiz/df5/generative_audio_grid_fixed_patched.html"
        ],
        "metrics": {
          "k_transform": 0.041548,
          "zeroth_formalism": 0.012868,
          "intent_focus": 0.108807,
          "noise_load": 0.260292,
          "diffusion_span": 0.053333,
          "sparsity_focus": 0.0,
          "authenticity": 0.081229
        }
      },
      {
        "id": "liquid-entropy",
        "label": "Liquid Entropy",
        "kind": "shader-field",
        "intent": "Fluid entropy field for substance, shader resonance, and affective drift.",
        "entry": "/rhiz/df5/liquidentropy_native-2-2.html",
        "source_count": 4,
        "sample_paths": [
          "/rhiz/df5/liquidentropy_native-2-2.html",
          "/rhiz/df5/uniphiglow-sketch-multilens-gr-deepshield-v4.html",
          "/rhiz/df5/uniphiglow_full_nebula.html",
          "/rhiz/df5/uniphiglow_universe_nebula_combo.html"
        ],
        "metrics": {
          "k_transform": 0.052997,
          "zeroth_formalism": 0.016941,
          "intent_focus": 0.181332,
          "noise_load": 0.290397,
          "diffusion_span": 0.111204,
          "sparsity_focus": 0.0,
          "authenticity": 0.124146
        }
      },
      {
        "id": "hyper-multiverse",
        "label": "Hyper Multiverse",
        "kind": "world-space",
        "intent": "Immersive world-space preset for infinite mesh and nested scale play.",
        "entry": "/rhiz/df5/hyperMultiverse.html",
        "source_count": 12,
        "sample_paths": [
          "/rhiz/df5/exosystem_evolutive.html",
          "/rhiz/df5/huet/README-spacetime.md",
          "/rhiz/df5/huet/spacetime-lab.html",
          "/rhiz/df5/huet/spacetime-model.json",
          "/rhiz/df5/hyperMultiverse.html",
          "/rhiz/df5/multitimeline.html"
        ],
        "metrics": {
          "k_transform": 0.077357,
          "zeroth_formalism": 0.033995,
          "intent_focus": 0.121355,
          "noise_load": 0.42843,
          "diffusion_span": 0.299552,
          "sparsity_focus": 0.001283,
          "authenticity": 0.031915
        }
      }
    ]
  },
  "corpus_rhizome": {
    "id": "phi-os-corpus-rhizome",
    "title": "PHI|OS Corpus Rhizome",
    "objective": "Bind canonical PHI|OS corpora to runtime dataset links so interview agents, RAG, and sparse training share one grounded dataset surface.",
    "root": "/rhiz/PHI|OS/corpus",
    "syncScript": "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-corpus-sync.sh",
    "datasets": [
      {
        "id": "phi-os-lab-interviews",
        "kind": "local-jsonl",
        "canonicalPath": "/rhiz/factory/hypergraph_meta_cluster_bundle/services/shared/datasets/phi_os_lab_interviews.jsonl",
        "runtimePath": "/data/datasets/phi-os-lab-interviews",
        "role": "Analytical psychology and orchestration seed corpus tracked in the repository."
      },
      {
        "id": "open-rl",
        "kind": "huggingface-dataset",
        "uri": "https://huggingface.co/datasets/TuringEnterprises/Open-RL",
        "canonicalPath": "/rhiz/PHI|OS/corpus/huggingface/Open-RL",
        "runtimePath": "/rhiz/factory/hypergraph_meta_cluster_bundle/data/datasets/open-rl",
        "syncCommand": "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-corpus-sync.sh sync open-rl",
        "role": "Sensitive RAG and policy-memory substrate."
      },
      {
        "id": "edge-agent-reasoning-websearch-260k",
        "kind": "huggingface-dataset",
        "uri": "https://huggingface.co/datasets/yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K",
        "canonicalPath": "/rhiz/PHI|OS/corpus/huggingface/Edge-Agent-Reasoning-WebSearch-260K",
        "runtimePath": "/rhiz/factory/hypergraph_meta_cluster_bundle/data/datasets/edge-agent-reasoning-websearch-260k",
        "syncCommand": "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-corpus-sync.sh sync edge-agent-reasoning-websearch-260k",
        "role": "Agentic reasoning and web-search trajectory corpus for interviewer decomposition, tool-use grounding, and edge-agent evaluation."
      }
    ],
    "constraints": [
      "Keep `/rhiz/PHI|OS/corpus` as the canonical host-side source of truth.",
      "Expose runtime links under `/rhiz/factory/hypergraph_meta_cluster_bundle/data/datasets` for compose-mounted services.",
      "Do not claim local availability until the sync script has run successfully."
    ],
    "bindings": [
      {
        "surface": "Data Rhizome",
        "role": "Curated dataset registry and corpus access"
      },
      {
        "surface": "PHI|OS Control Plane",
        "role": "Corpus management and sync visibility"
      },
      {
        "surface": "Sparse Trainer",
        "role": "Local dataset path for future PHI|OS training jobs"
      }
    ]
  },
  "df5_presets": {
    "id": "phi-os-df5-presets",
    "title": "PHI|OS df5 Preset Series",
    "purpose": "Expose df5 sketches as preset cards and preset series for the PHI|OS composer combination interface.",
    "sourceRoot": "/rhiz/df5",
    "presets": [
      {
        "id": "ordinal-stream",
        "label": "Ordinal Stream",
        "kind": "tensor-flow",
        "intent": "Readable tensor-field and integral-line basis for sparse polyfractal flow.",
        "entry": "/rhiz/df5/ordinal_stream_refactor/index.html"
      },
      {
        "id": "spectra-mesh-visualizer",
        "label": "Spectra Mesh Visualizer",
        "kind": "mesh-dashboard",
        "intent": "Living mesh dashboard for agents, entropy, and topology feedback.",
        "entry": "/rhiz/df5/spectra_mesh_visualizer/public/index.html"
      },
      {
        "id": "tensorfield-enhanced",
        "label": "Tensorfield Enhanced",
        "kind": "formalism",
        "intent": "Discrete tensor-field formalism, integral lines, and layer stacking.",
        "entry": "/rhiz/df5/tensorfield_enhanced_bundle/tensorfield_demo.html"
      },
      {
        "id": "integral-lines-vanilla",
        "label": "Integral Lines Vanilla",
        "kind": "sparse-lines",
        "intent": "Dependency-light RK4 line growth and occupancy-grid spacing.",
        "entry": "/rhiz/df5/bundle/vanilla/index.html"
      },
      {
        "id": "generative-audio-visual",
        "label": "Generative Audio Visual",
        "kind": "audio-grid",
        "intent": "Seeded audio-reactive visual with deterministic Markov progression.",
        "entry": "/rhiz/df5/generative-audio-visual/index.html"
      },
      {
        "id": "liquid-entropy",
        "label": "Liquid Entropy",
        "kind": "shader-field",
        "intent": "Fluid entropy field for substance, shader resonance, and affective drift.",
        "entry": "/rhiz/df5/liquidentropy_native-2-2.html"
      },
      {
        "id": "hyper-multiverse",
        "label": "Hyper Multiverse",
        "kind": "world-space",
        "intent": "Immersive world-space preset for infinite mesh and nested scale play.",
        "entry": "/rhiz/df5/hyperMultiverse.html"
      }
    ],
    "generated_series": [
      {
        "id": "ordinal-stream",
        "label": "Ordinal Stream",
        "kind": "tensor-flow",
        "intent": "Readable tensor-field and integral-line basis for sparse polyfractal flow.",
        "entry": "/rhiz/df5/ordinal_stream_refactor/index.html",
        "source_count": 11,
        "sample_paths": [
          "/rhiz/df5/ordinal_stream_refactor/README.md",
          "/rhiz/df5/ordinal_stream_refactor/index.html",
          "/rhiz/df5/ordinal_stream_refactor/src/engine/cellGrid.js",
          "/rhiz/df5/ordinal_stream_refactor/src/engine/integralLine.js",
          "/rhiz/df5/ordinal_stream_refactor/src/engine/tensorField.js",
          "/rhiz/df5/ordinal_stream_refactor/src/lib/math.js"
        ],
        "metrics": {
          "k_transform": 0.050009,
          "zeroth_formalism": 0.016015,
          "intent_focus": 0.061257,
          "noise_load": 0.42138,
          "diffusion_span": 0.242656,
          "sparsity_focus": 0.001136,
          "authenticity": 0.00561
        }
      },
      {
        "id": "spectra-mesh-visualizer",
        "label": "Spectra Mesh Visualizer",
        "kind": "mesh-dashboard",
        "intent": "Living mesh dashboard for agents, entropy, and topology feedback.",
        "entry": "/rhiz/df5/spectra_mesh_visualizer/public/index.html",
        "source_count": 10,
        "sample_paths": [
          "/rhiz/df5/meshgraph.html",
          "/rhiz/df5/redundant_network_sim 3.html",
          "/rhiz/df5/redundant_network_sim 4.html",
          "/rhiz/df5/redundant_network_sim 5.html",
          "/rhiz/df5/spectra_mesh_visualizer/README.md",
          "/rhiz/df5/spectra_mesh_visualizer/public/agents.js"
        ],
        "metrics": {
          "k_transform": 0.025852,
          "zeroth_formalism": 0.007553,
          "intent_focus": 0.056499,
          "noise_load": 0.248402,
          "diffusion_span": 0.000609,
          "sparsity_focus": 0.0,
          "authenticity": 0.02445
        }
      },
      {
        "id": "tensorfield-enhanced",
        "label": "Tensorfield Enhanced",
        "kind": "formalism",
        "intent": "Discrete tensor-field formalism, integral lines, and layer stacking.",
        "entry": "/rhiz/df5/tensorfield_enhanced_bundle/tensorfield_demo.html",
        "source_count": 12,
        "sample_paths": [
          "/rhiz/df5/tensorfield_bundle/refactored/cli.js",
          "/rhiz/df5/tensorfield_bundle/refactored/config-schema.json",
          "/rhiz/df5/tensorfield_bundle/refactored/index.html",
          "/rhiz/df5/tensorfield_bundle/refactored/src/LineIntegrator.js",
          "/rhiz/df5/tensorfield_bundle/refactored/src/Perlin3D.js",
          "/rhiz/df5/tensorfield_bundle/refactored/src/Renderer.js"
        ],
        "metrics": {
          "k_transform": 0.029659,
          "zeroth_formalism": 0.011237,
          "intent_focus": 0.03927,
          "noise_load": 0.415076,
          "diffusion_span": 0.185372,
          "sparsity_focus": 0.00342,
          "authenticity": 0.0
        }
      },
      {
        "id": "integral-lines-vanilla",
        "label": "Integral Lines Vanilla",
        "kind": "sparse-lines",
        "intent": "Dependency-light RK4 line growth and occupancy-grid spacing.",
        "entry": "/rhiz/df5/bundle/vanilla/index.html",
        "source_count": 7,
        "sample_paths": [
          "/rhiz/df5/bundle/original/chroma.min.js",
          "/rhiz/df5/bundle/original/index.html",
          "/rhiz/df5/bundle/original/math.js",
          "/rhiz/df5/bundle/original/sketch.js",
          "/rhiz/df5/bundle/vanilla/app.js",
          "/rhiz/df5/bundle/vanilla/index.html"
        ],
        "metrics": {
          "k_transform": 0.050817,
          "zeroth_formalism": 0.015041,
          "intent_focus": 0.138031,
          "noise_load": 0.367978,
          "diffusion_span": 0.190476,
          "sparsity_focus": 0.0,
          "authenticity": 0.06756
        }
      },
      {
        "id": "generative-audio-visual",
        "label": "Generative Audio Visual",
        "kind": "audio-grid",
        "intent": "Seeded audio-reactive visual with deterministic Markov progression.",
        "entry": "/rhiz/df5/generative-audio-visual/index.html",
        "source_count": 5,
        "sample_paths": [
          "/rhiz/df5/audio_cosmos_uniphilabs_v10.html",
          "/rhiz/df5/generative-audio-visual/README.md",
          "/rhiz/df5/generative-audio-visual/index.html",
          "/rhiz/df5/generative_audio_grid_fixed.html",
          "/rhiz/df5/generative_audio_grid_fixed_patched.html"
        ],
        "metrics": {
          "k_transform": 0.041548,
          "zeroth_formalism": 0.012868,
          "intent_focus": 0.108807,
          "noise_load": 0.260292,
          "diffusion_span": 0.053333,
          "sparsity_focus": 0.0,
          "authenticity": 0.081229
        }
      },
      {
        "id": "liquid-entropy",
        "label": "Liquid Entropy",
        "kind": "shader-field",
        "intent": "Fluid entropy field for substance, shader resonance, and affective drift.",
        "entry": "/rhiz/df5/liquidentropy_native-2-2.html",
        "source_count": 4,
        "sample_paths": [
          "/rhiz/df5/liquidentropy_native-2-2.html",
          "/rhiz/df5/uniphiglow-sketch-multilens-gr-deepshield-v4.html",
          "/rhiz/df5/uniphiglow_full_nebula.html",
          "/rhiz/df5/uniphiglow_universe_nebula_combo.html"
        ],
        "metrics": {
          "k_transform": 0.052997,
          "zeroth_formalism": 0.016941,
          "intent_focus": 0.181332,
          "noise_load": 0.290397,
          "diffusion_span": 0.111204,
          "sparsity_focus": 0.0,
          "authenticity": 0.124146
        }
      },
      {
        "id": "hyper-multiverse",
        "label": "Hyper Multiverse",
        "kind": "world-space",
        "intent": "Immersive world-space preset for infinite mesh and nested scale play.",
        "entry": "/rhiz/df5/hyperMultiverse.html",
        "source_count": 12,
        "sample_paths": [
          "/rhiz/df5/exosystem_evolutive.html",
          "/rhiz/df5/huet/README-spacetime.md",
          "/rhiz/df5/huet/spacetime-lab.html",
          "/rhiz/df5/huet/spacetime-model.json",
          "/rhiz/df5/hyperMultiverse.html",
          "/rhiz/df5/multitimeline.html"
        ],
        "metrics": {
          "k_transform": 0.077357,
          "zeroth_formalism": 0.033995,
          "intent_focus": 0.121355,
          "noise_load": 0.42843,
          "diffusion_span": 0.299552,
          "sparsity_focus": 0.001283,
          "authenticity": 0.031915
        }
      }
    ],
    "source_count": 7
  },
  "automation_overview": {
    "id": "phi-os-automation-overview",
    "title": "PHI|OS Automation Overview",
    "purpose": "Describe validation, success-rate access, and continuous amelioration loops for nested cascading automation across every abstraction scale.",
    "series": [
      {
        "id": "seed",
        "label": "Seed",
        "goal": "Generate or sync the current PHI|OS bundle and presets."
      },
      {
        "id": "validate",
        "label": "Validate",
        "goal": "Run JSON, Python, interface, and topology checks."
      },
      {
        "id": "compose",
        "label": "Compose",
        "goal": "Project cards, presets, and overlays into the composer interface."
      },
      {
        "id": "observe",
        "label": "Observe",
        "goal": "Collect success rate, drift, and friction metrics."
      },
      {
        "id": "ameliorate",
        "label": "Ameliorate",
        "goal": "Patch cyclic flaws and feed improvements back into the next cascade."
      }
    ],
    "successRate": {
      "formula": "successful_steps / total_validated_steps",
      "dimensions": [
        "build_success",
        "bundle_sync_success",
        "preset_projection_success",
        "metric_collection_success",
        "release_success"
      ]
    },
    "nestedScales": [
      "unit",
      "module",
      "cluster",
      "service-mesh",
      "public-endpoint"
    ],
    "commands": [
      "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-thought-experiment-sync.sh",
      "python3 -m py_compile /rhiz/factory/hypergraph_meta_cluster_bundle/services/shared/phi_os_thought_experiment.py"
    ]
  },
  "functor_metrics_space": {
    "id": "phi-os-functor-metrics-space",
    "title": "PHI|OS Functor Metrics Space",
    "purpose": "Placeholder surface for future functor and hypergraph metrics-space computation across nested PHI|OS scales.",
    "status": "placeholder",
    "plannedAxes": [
      "morphism_stability",
      "invariant_retention",
      "bridge_density",
      "noise_load",
      "sparsity_focus",
      "topology_drift",
      "authenticity_score"
    ],
    "plannedTypes": [
      "FunctorMetricSpace<Domain, Morphism, Metric, Invariant>",
      "HypergraphMetric<Node, HyperEdge, Flow, Drift>",
      "ScaleEcho<Unit, Series, Validation, Improvement>"
    ],
    "todo": [
      "Bind metric computation to live composer card transitions.",
      "Attach hypergraph edge scoring and success series to operator BI.",
      "Map local, cluster, and global scale echoes into one validation field."
    ]
  },
  "fourth_turing": {
    "id": "fourth-turing",
    "title": "The Fourth Turing",
    "purpose": "PHI|OS predictive analysis beyond imitation: estimate whether an invariant identity can survive noise, bridge domains, forecast the next state, and remain ethically reversible.",
    "premise": "The Fourth Turing does not ask whether the system imitates intelligence. It asks whether the system preserves invariant identity while predicting consequences across bridgeable state spaces.",
    "series": [
      {
        "id": "invariant_continuity",
        "label": "Invariant Continuity",
        "meaning": "How well identity and intent survive drift, paradox, and translation."
      },
      {
        "id": "bridge_fidelity",
        "label": "Bridge Fidelity",
        "meaning": "How reliably domains commute without collapsing the symbolic invariant."
      },
      {
        "id": "counterfactual_readiness",
        "label": "Counterfactual Readiness",
        "meaning": "How ready the system is to project alternative states without losing coherence."
      },
      {
        "id": "ethics_pressure",
        "label": "Ethics Pressure",
        "meaning": "How strongly retrospective harm and irreversibility demand correction before further prediction."
      }
    ],
    "stages": [
      {
        "id": "coherent",
        "label": "Coherent",
        "condition": "Invariant continuity and bridge fidelity are high while ethics pressure stays bounded."
      },
      {
        "id": "liminal",
        "label": "Liminal",
        "condition": "The system still predicts, but paradox and drift begin to deform the bridge."
      },
      {
        "id": "fractured",
        "label": "Fractured",
        "condition": "Counterfactual exploration outruns invariant preservation and the prediction surface destabilizes."
      }
    ],
    "directives": [
      "Prefer predictions that preserve invariant identity over predictions that merely maximize surface accuracy.",
      "Raise ethics pressure whenever irreversibility grows faster than bridge fidelity.",
      "Treat paradox as signal: route it into the side-brain rather than collapsing it into false certainty.",
      "Expose next-state forecasts as explicit series so they can be audited in BI and monitoring views."
    ],
    "bindings": {
      "lab": "/rhiz/PHI|OS/LAB/phi-os",
      "api": "/api/v1/public/workflow/phi-os/overview",
      "ui": [
        "/composer",
        "/dashboard",
        "/dashboard/monitoring"
      ]
    }
  },
  "root_archive": {
    "count": 16,
    "clusters": {
      "formalism": 4,
      "misc": 1,
      "singularity": 1,
      "awareness": 2,
      "dynamics": 3,
      "sensitivity": 4,
      "paradigms": 1
    },
    "files": [
      {
        "name": "meta-heuristics.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/ meta-heuristics.pdf",
        "kind": "pdf",
        "cluster": "formalism"
      },
      {
        "name": "README.md",
        "path": "/rhiz/PHI|OS/thought-experiment/README.md",
        "kind": "md",
        "cluster": "misc"
      },
      {
        "name": "akatsuki-singularity.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/akatsuki-singularity.pdf",
        "kind": "pdf",
        "cluster": "singularity"
      },
      {
        "name": "awarness.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/awarness.pdf",
        "kind": "pdf",
        "cluster": "awareness"
      },
      {
        "name": "blob.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/blob.pdf",
        "kind": "pdf",
        "cluster": "dynamics"
      },
      {
        "name": "cake.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/cake.pdf",
        "kind": "pdf",
        "cluster": "sensitivity"
      },
      {
        "name": "defi.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/defi.pdf",
        "kind": "pdf",
        "cluster": "dynamics"
      },
      {
        "name": "dynamic.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/dynamic.pdf",
        "kind": "pdf",
        "cluster": "dynamics"
      },
      {
        "name": "formalism.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/formalism.pdf",
        "kind": "pdf",
        "cluster": "formalism"
      },
      {
        "name": "pardigms.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/pardigms.pdf",
        "kind": "pdf",
        "cluster": "paradigms"
      },
      {
        "name": "philo-substance.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/philo-substance.pdf",
        "kind": "pdf",
        "cluster": "sensitivity"
      },
      {
        "name": "phlos.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/phlos.pdf",
        "kind": "pdf",
        "cluster": "formalism"
      },
      {
        "name": "registre.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/registre.pdf",
        "kind": "pdf",
        "cluster": "formalism"
      },
      {
        "name": "sensitibe.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/sensitibe.pdf",
        "kind": "pdf",
        "cluster": "sensitivity"
      },
      {
        "name": "sensitive.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/sensitive.pdf",
        "kind": "pdf",
        "cluster": "sensitivity"
      },
      {
        "name": "symbol.pdf",
        "path": "/rhiz/PHI|OS/thought-experiment/symbol.pdf",
        "kind": "pdf",
        "cluster": "awareness"
      }
    ]
  },
  "lab_modules": [
    {
      "id": "phi-os-automation-overview",
      "title": "PHI|OS Automation Overview",
      "path": "/rhiz/PHI|OS/LAB/phi-os/automation-overview.manifest.json",
      "payload": {
        "id": "phi-os-automation-overview",
        "title": "PHI|OS Automation Overview",
        "purpose": "Describe validation, success-rate access, and continuous amelioration loops for nested cascading automation across every abstraction scale.",
        "series": [
          {
            "id": "seed",
            "label": "Seed",
            "goal": "Generate or sync the current PHI|OS bundle and presets."
          },
          {
            "id": "validate",
            "label": "Validate",
            "goal": "Run JSON, Python, interface, and topology checks."
          },
          {
            "id": "compose",
            "label": "Compose",
            "goal": "Project cards, presets, and overlays into the composer interface."
          },
          {
            "id": "observe",
            "label": "Observe",
            "goal": "Collect success rate, drift, and friction metrics."
          },
          {
            "id": "ameliorate",
            "label": "Ameliorate",
            "goal": "Patch cyclic flaws and feed improvements back into the next cascade."
          }
        ],
        "successRate": {
          "formula": "successful_steps / total_validated_steps",
          "dimensions": [
            "build_success",
            "bundle_sync_success",
            "preset_projection_success",
            "metric_collection_success",
            "release_success"
          ]
        },
        "nestedScales": [
          "unit",
          "module",
          "cluster",
          "service-mesh",
          "public-endpoint"
        ],
        "commands": [
          "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-thought-experiment-sync.sh",
          "python3 -m py_compile /rhiz/factory/hypergraph_meta_cluster_bundle/services/shared/phi_os_thought_experiment.py"
        ]
      }
    },
    {
      "id": "phi-os-brain-architecture",
      "title": "PHI|OS Brain Architecture",
      "path": "/rhiz/PHI|OS/LAB/phi-os/brain-architecture.manifest.json",
      "payload": {
        "id": "phi-os-brain-architecture",
        "title": "PHI|OS Brain Architecture",
        "purpose": "Bind apx-core, genesis, invariants, symbolic bridges, and LAB dynamics into a layered PHI|OS brain model.",
        "layers": [
          {
            "id": "apx-core-root",
            "role": "Canonical symbolic core for spectra architecture, psychometrics, Kobalt Sigma bindings, and thought-tree overlays.",
            "references": [
              "/rhiz/PHI|OS/LAB/apx-core/spectra/Spectra_Architecture_Overview.md",
              "/rhiz/PHI|OS/LAB/apx-core/psychometrics/psyche-questions.md",
              "/rhiz/PHI|OS/LAB/apx-core/mod/kobalt-sigma-ai.md"
            ]
          },
          {
            "id": "genesis-kernel",
            "role": "Stores quasi invariant topological varieties and module genesis directives.",
            "references": [
              "/rhiz/PHI|OS/genesis/phi-os.genesis-index.json",
              "/rhiz/PHI|OS/thought-experiment/input/005_genesis_index.md"
            ]
          },
          {
            "id": "invariant-cortex",
            "role": "Projects invariant state spaces, nesting class types, and group-set validity.",
            "references": [
              "/rhiz/factory/hypergraph_meta_cluster_bundle/services/shared/phi_os_lab.py"
            ]
          },
          {
            "id": "bridge-hippocampus",
            "role": "Handles domain conversion, souvenir transfer, and sparsity SDQ bridge enforcement.",
            "references": [
              "/rhiz/factory/hypergraph_meta_cluster_bundle/services/shared/apertus_workflow.py",
              "/rhiz/PHI|OS/thought-experiment/input/001_apertus_identity_invariant.json"
            ]
          },
          {
            "id": "overlay-thalamus",
            "role": "Distributes rendering overlays and attention summaries across operator and immersive surfaces.",
            "references": [
              "/rhiz/PHI|OS/LAB/apx-core/arkiv/thoughtTree.js",
              "/rhiz/PHI|OS/LAB/dynamics/graph-sync/main.fixed.js"
            ]
          },
          {
            "id": "swarm-cerebellum",
            "role": "Maintains swarm drift, adaptive motion, and genetic behavioral variation.",
            "references": [
              "/rhiz/PHI|OS/LAB/delta/agents/sigmaAlgeaSwarm.js",
              "/rhiz/PHI|OS/LAB/delta/agents/geneticAgentSystem.js"
            ]
          },
          {
            "id": "hypervision-occipital",
            "role": "Projects superposed scenes, graph synchrony, and quasi hypervision overlays.",
            "references": [
              "/rhiz/PHI|OS/LAB/delta/infra/3D_LAB_ARCHITECTURE.md",
              "/rhiz/PHI|OS/LAB/dynamics/time-crytal/main.js",
              "/rhiz/PHI|OS/LAB/dynamics/uniphi5/uniphi-infinite-universe-starfield-fields-radar.html"
            ]
          },
          {
            "id": "orchestration-stem",
            "role": "Connects composer, monitoring, release orchestration, and public workflow routing.",
            "references": [
              "/rhiz/akatsuki/singularity/public/composer.html",
              "/rhiz/factory/hypergraph_meta_cluster_bundle/services/api-gateway/src/routers/workflow.py"
            ]
          }
        ],
        "signals": [
          "bridge_density",
          "functor_balance",
          "commutative_consistency",
          "motionEnergy",
          "stationaryScore",
          "decoherence",
          "noise"
        ]
      }
    },
    {
      "id": "phi-os-composer-card-bundle",
      "title": "PHI|OS Composer Card Bundle",
      "path": "/rhiz/PHI|OS/LAB/phi-os/composer-card-bundle.manifest.json",
      "payload": {
        "id": "phi-os-composer-card-bundle",
        "title": "PHI|OS Composer Card Bundle",
        "purpose": "Turn PHI|OS LAB sketches into collectible card inputs that combine through hypergraph groups, k-transform filtering, zeroth formalism, and sparsity-aware intent extraction.",
        "viewModes": [
          "overview",
          "cascades",
          "intent",
          "instinct",
          "genesis",
          "hypervision"
        ],
        "metricAxes": [
          "k_transform",
          "zeroth_formalism",
          "intent_focus",
          "noise_load",
          "diffusion_span",
          "sparsity_focus",
          "authenticity"
        ],
        "combinationSets": [
          {
            "id": "odyssee-genesis",
            "label": "Odyssee Genesis",
            "cards": [
              "apx-core-core",
              "namespace-authenticity",
              "type-formalism",
              "group-topology",
              "orchestration-mesh"
            ],
            "intent": "Keep core invariants coherent across the whole PHI|OS surface."
          },
          {
            "id": "noise-to-intent",
            "label": "Noise to Intent",
            "cards": [
              "interface-shaders",
              "persona-shadow",
              "formalism-core"
            ],
            "intent": "Use k-transform and sparsity to locate intent under diffusion."
          },
          {
            "id": "network-ethos",
            "label": "Network Ethos",
            "cards": [
              "network-fabric",
              "orchestration-mesh",
              "licensing-envelope"
            ],
            "intent": "Tie topology, runtime services, and governance into one operational deck."
          },
          {
            "id": "substance-echo",
            "label": "Substance Echo",
            "cards": [
              "apx-core-core",
              "interface-shaders",
              "persona-shadow"
            ],
            "intent": "Route attention beyond the frame, dissolve substance into precept, and surface affect through shaders, haiku, and symbolic interplay."
          }
        ],
        "generatorConstraints": [
          "Cards must trace back to real PHI|OS LAB files.",
          "Each card remains collectible and combinable across hypergraph groups.",
          "K-transform emphasizes signal extraction under noise and diffusion.",
          "Zeroth formalism preserves base aggregate and proof-state continuity."
        ],
        "sourcesRoot": "/rhiz/PHI|OS/LAB"
      }
    },
    {
      "id": "phi-os-corpus-rhizome",
      "title": "PHI|OS Corpus Rhizome",
      "path": "/rhiz/PHI|OS/LAB/phi-os/corpus-rhizome.manifest.json",
      "payload": {
        "id": "phi-os-corpus-rhizome",
        "title": "PHI|OS Corpus Rhizome",
        "objective": "Bind canonical PHI|OS corpora to runtime dataset links so interview agents, RAG, and sparse training share one grounded dataset surface.",
        "root": "/rhiz/PHI|OS/corpus",
        "syncScript": "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-corpus-sync.sh",
        "datasets": [
          {
            "id": "phi-os-lab-interviews",
            "kind": "local-jsonl",
            "canonicalPath": "/rhiz/factory/hypergraph_meta_cluster_bundle/services/shared/datasets/phi_os_lab_interviews.jsonl",
            "runtimePath": "/data/datasets/phi-os-lab-interviews",
            "role": "Analytical psychology and orchestration seed corpus tracked in the repository."
          },
          {
            "id": "open-rl",
            "kind": "huggingface-dataset",
            "uri": "https://huggingface.co/datasets/TuringEnterprises/Open-RL",
            "canonicalPath": "/rhiz/PHI|OS/corpus/huggingface/Open-RL",
            "runtimePath": "/rhiz/factory/hypergraph_meta_cluster_bundle/data/datasets/open-rl",
            "syncCommand": "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-corpus-sync.sh sync open-rl",
            "role": "Sensitive RAG and policy-memory substrate."
          },
          {
            "id": "edge-agent-reasoning-websearch-260k",
            "kind": "huggingface-dataset",
            "uri": "https://huggingface.co/datasets/yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K",
            "canonicalPath": "/rhiz/PHI|OS/corpus/huggingface/Edge-Agent-Reasoning-WebSearch-260K",
            "runtimePath": "/rhiz/factory/hypergraph_meta_cluster_bundle/data/datasets/edge-agent-reasoning-websearch-260k",
            "syncCommand": "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-corpus-sync.sh sync edge-agent-reasoning-websearch-260k",
            "role": "Agentic reasoning and web-search trajectory corpus for interviewer decomposition, tool-use grounding, and edge-agent evaluation."
          }
        ],
        "constraints": [
          "Keep `/rhiz/PHI|OS/corpus` as the canonical host-side source of truth.",
          "Expose runtime links under `/rhiz/factory/hypergraph_meta_cluster_bundle/data/datasets` for compose-mounted services.",
          "Do not claim local availability until the sync script has run successfully."
        ],
        "bindings": [
          {
            "surface": "Data Rhizome",
            "role": "Curated dataset registry and corpus access"
          },
          {
            "surface": "PHI|OS Control Plane",
            "role": "Corpus management and sync visibility"
          },
          {
            "surface": "Sparse Trainer",
            "role": "Local dataset path for future PHI|OS training jobs"
          }
        ]
      }
    },
    {
      "id": "phi-os-df5-presets",
      "title": "PHI|OS df5 Preset Series",
      "path": "/rhiz/PHI|OS/LAB/phi-os/df5-presets.manifest.json",
      "payload": {
        "id": "phi-os-df5-presets",
        "title": "PHI|OS df5 Preset Series",
        "purpose": "Expose df5 sketches as preset cards and preset series for the PHI|OS composer combination interface.",
        "sourceRoot": "/rhiz/df5",
        "presets": [
          {
            "id": "ordinal-stream",
            "label": "Ordinal Stream",
            "kind": "tensor-flow",
            "intent": "Readable tensor-field and integral-line basis for sparse polyfractal flow.",
            "entry": "/rhiz/df5/ordinal_stream_refactor/index.html"
          },
          {
            "id": "spectra-mesh-visualizer",
            "label": "Spectra Mesh Visualizer",
            "kind": "mesh-dashboard",
            "intent": "Living mesh dashboard for agents, entropy, and topology feedback.",
            "entry": "/rhiz/df5/spectra_mesh_visualizer/public/index.html"
          },
          {
            "id": "tensorfield-enhanced",
            "label": "Tensorfield Enhanced",
            "kind": "formalism",
            "intent": "Discrete tensor-field formalism, integral lines, and layer stacking.",
            "entry": "/rhiz/df5/tensorfield_enhanced_bundle/tensorfield_demo.html"
          },
          {
            "id": "integral-lines-vanilla",
            "label": "Integral Lines Vanilla",
            "kind": "sparse-lines",
            "intent": "Dependency-light RK4 line growth and occupancy-grid spacing.",
            "entry": "/rhiz/df5/bundle/vanilla/index.html"
          },
          {
            "id": "generative-audio-visual",
            "label": "Generative Audio Visual",
            "kind": "audio-grid",
            "intent": "Seeded audio-reactive visual with deterministic Markov progression.",
            "entry": "/rhiz/df5/generative-audio-visual/index.html"
          },
          {
            "id": "liquid-entropy",
            "label": "Liquid Entropy",
            "kind": "shader-field",
            "intent": "Fluid entropy field for substance, shader resonance, and affective drift.",
            "entry": "/rhiz/df5/liquidentropy_native-2-2.html"
          },
          {
            "id": "hyper-multiverse",
            "label": "Hyper Multiverse",
            "kind": "world-space",
            "intent": "Immersive world-space preset for infinite mesh and nested scale play.",
            "entry": "/rhiz/df5/hyperMultiverse.html"
          }
        ]
      }
    },
    {
      "id": "fourth-turing",
      "title": "The Fourth Turing",
      "path": "/rhiz/PHI|OS/LAB/phi-os/fourth-turing.manifest.json",
      "payload": {
        "id": "fourth-turing",
        "title": "The Fourth Turing",
        "purpose": "PHI|OS predictive analysis beyond imitation: estimate whether an invariant identity can survive noise, bridge domains, forecast the next state, and remain ethically reversible.",
        "premise": "The Fourth Turing does not ask whether the system imitates intelligence. It asks whether the system preserves invariant identity while predicting consequences across bridgeable state spaces.",
        "series": [
          {
            "id": "invariant_continuity",
            "label": "Invariant Continuity",
            "meaning": "How well identity and intent survive drift, paradox, and translation."
          },
          {
            "id": "bridge_fidelity",
            "label": "Bridge Fidelity",
            "meaning": "How reliably domains commute without collapsing the symbolic invariant."
          },
          {
            "id": "counterfactual_readiness",
            "label": "Counterfactual Readiness",
            "meaning": "How ready the system is to project alternative states without losing coherence."
          },
          {
            "id": "ethics_pressure",
            "label": "Ethics Pressure",
            "meaning": "How strongly retrospective harm and irreversibility demand correction before further prediction."
          }
        ],
        "stages": [
          {
            "id": "coherent",
            "label": "Coherent",
            "condition": "Invariant continuity and bridge fidelity are high while ethics pressure stays bounded."
          },
          {
            "id": "liminal",
            "label": "Liminal",
            "condition": "The system still predicts, but paradox and drift begin to deform the bridge."
          },
          {
            "id": "fractured",
            "label": "Fractured",
            "condition": "Counterfactual exploration outruns invariant preservation and the prediction surface destabilizes."
          }
        ],
        "directives": [
          "Prefer predictions that preserve invariant identity over predictions that merely maximize surface accuracy.",
          "Raise ethics pressure whenever irreversibility grows faster than bridge fidelity.",
          "Treat paradox as signal: route it into the side-brain rather than collapsing it into false certainty.",
          "Expose next-state forecasts as explicit series so they can be audited in BI and monitoring views."
        ],
        "bindings": {
          "lab": "/rhiz/PHI|OS/LAB/phi-os",
          "api": "/api/v1/public/workflow/phi-os/overview",
          "ui": [
            "/composer",
            "/dashboard",
            "/dashboard/monitoring"
          ]
        }
      }
    },
    {
      "id": "phi-os-functor-metrics-space",
      "title": "PHI|OS Functor Metrics Space",
      "path": "/rhiz/PHI|OS/LAB/phi-os/functor-metrics-space.manifest.json",
      "payload": {
        "id": "phi-os-functor-metrics-space",
        "title": "PHI|OS Functor Metrics Space",
        "purpose": "Placeholder surface for future functor and hypergraph metrics-space computation across nested PHI|OS scales.",
        "status": "placeholder",
        "plannedAxes": [
          "morphism_stability",
          "invariant_retention",
          "bridge_density",
          "noise_load",
          "sparsity_focus",
          "topology_drift",
          "authenticity_score"
        ],
        "plannedTypes": [
          "FunctorMetricSpace<Domain, Morphism, Metric, Invariant>",
          "HypergraphMetric<Node, HyperEdge, Flow, Drift>",
          "ScaleEcho<Unit, Series, Validation, Improvement>"
        ],
        "todo": [
          "Bind metric computation to live composer card transitions.",
          "Attach hypergraph edge scoring and success series to operator BI.",
          "Map local, cluster, and global scale echoes into one validation field."
        ]
      }
    },
    {
      "id": "phi-os-licensing-envelope",
      "title": "PHI|OS Licensing Envelope",
      "path": "/rhiz/PHI|OS/LAB/phi-os/licensing.manifest.json",
      "payload": {
        "id": "phi-os-licensing-envelope",
        "title": "PHI|OS Licensing Envelope",
        "purpose": "Keep the PHI|OS system authentic and forkable while preserving reciprocity, provenance, and asset-specific obligations across code, interface, data, models, and hardware.",
        "policy": {
          "goal": "Preserve commons reciprocity and authenticity without flattening the distinctions between operational code, interface assets, datasets, model weights, and hardware schematics.",
          "stack": [
            {
              "surface": "servers and orchestration",
              "license": "AGPL-3.0-only",
              "reason": "Networked changes should return to the commons."
            },
            {
              "surface": "composer interface and client-facing UI",
              "license": "MPL-2.0",
              "reason": "File-level reciprocity fits mixed stacks and card surfaces."
            },
            {
              "surface": "shared SDKs and utilities",
              "license": "Apache-2.0",
              "reason": "Patent clarity and low-friction reuse."
            },
            {
              "surface": "datasets and telemetry schema",
              "license": "ODbL-1.0 / CC BY-4.0 / CC0",
              "reason": "Database reciprocity or lighter attribution depending on the asset."
            },
            {
              "surface": "model weights",
              "license": "OpenRAIL-M or upstream source-specific terms",
              "reason": "Weights may need ethical-use restrictions even when code stays OSI-open."
            },
            {
              "surface": "hardware and schematic artifacts",
              "license": "CERN-OHL-W-2.0",
              "reason": "Weak reciprocity fits collaborative hardware evolution."
            }
          ],
          "authenticityRules": [
            "Every exported bundle should declare its license envelope explicitly.",
            "Generated composer cards must preserve asset provenance.",
            "Model wrappers cannot erase upstream model terms or card-level disclosures."
          ]
        },
        "references": [
          "/rhiz/PHI|OS/LAB/delta/Spectra_Licensing_Playbook.md",
          "/rhiz/PHI|OS/LAB/delta/Auth/Spectra_Licensing_Playbook.md",
          "/rhiz/PHI|OS/LAB/delta/exosysteme_bundle/LICENSES/NOTICE.md"
        ]
      }
    },
    {
      "id": "phi-os-neural-overlays",
      "title": "PHI|OS Neural Overlays",
      "path": "/rhiz/PHI|OS/LAB/phi-os/neural-overlays.manifest.json",
      "payload": {
        "id": "phi-os-neural-overlays",
        "title": "PHI|OS Neural Overlays",
        "overlays": [
          {
            "id": "thought-tree",
            "role": "Attention, calm, and noise fan-out overlay.",
            "surface": "operator HUD",
            "source": "/rhiz/PHI|OS/LAB/apx-core/arkiv/thoughtTree.js"
          },
          {
            "id": "graph-sync",
            "role": "Synchronizes node and edge deformation in dynamic hypergraph views.",
            "surface": "immersive viewport",
            "source": "/rhiz/PHI|OS/LAB/dynamics/graph-sync/main.fixed.js"
          },
          {
            "id": "time-crystal",
            "role": "Projects periodic superposition and repeated observation planes.",
            "surface": "temporal overlay",
            "source": "/rhiz/PHI|OS/LAB/dynamics/time-crytal/main.js"
          },
          {
            "id": "sigma-swarm",
            "role": "Displays collective drift and boid-derived swarm metrics.",
            "surface": "swarm overlay",
            "source": "/rhiz/PHI|OS/LAB/delta/agents/sigmaAlgeaSwarm.js"
          },
          {
            "id": "genetic-behavior",
            "role": "Displays adaptive traits, emergent behavior layers, and phenotype variation.",
            "surface": "behavior overlay",
            "source": "/rhiz/PHI|OS/LAB/delta/agents/geneticAgentSystem.js"
          }
        ],
        "displayModes": [
          "cards",
          "overview",
          "cascades",
          "intent",
          "instinct",
          "hypervision"
        ],
        "metrics": [
          "focus",
          "calm",
          "noise",
          "driftScore",
          "motionEnergy",
          "reciprocity",
          "swarmDensity"
        ]
      }
    },
    {
      "id": "phi-os-quasi-hypervision",
      "title": "PHI|OS Quasi Hypervision",
      "path": "/rhiz/PHI|OS/LAB/phi-os/quasi-hypervision.manifest.json",
      "payload": {
        "id": "phi-os-quasi-hypervision",
        "title": "PHI|OS Quasi Hypervision",
        "purpose": "Fuse cards composer, neural overlays, hypergraph sync, and 3D lab scenes into a superposed view system.",
        "surfaces": [
          {
            "id": "composer-cards",
            "role": "Card-based morphing interface for invariants, heuristics, and genesis projections.",
            "path": "/rhiz/akatsuki/singularity/public/composer.html"
          },
          {
            "id": "dashboard",
            "role": "Operator BI and control-plane surface.",
            "path": "/rhiz/factory/hypergraph_meta_cluster_bundle/services/webapp/src/app/dashboard/page.tsx"
          },
          {
            "id": "graph-sync-view",
            "role": "Dynamic hypergraph synchronization surface.",
            "path": "/rhiz/PHI|OS/LAB/dynamics/graph-sync/index.fixed.html"
          },
          {
            "id": "time-crystal-view",
            "role": "Temporal repetition and superposition view.",
            "path": "/rhiz/PHI|OS/LAB/dynamics/time-crytal/index.html"
          },
          {
            "id": "uniphi-radar",
            "role": "Quasi hypervision radar / starfield field surface.",
            "path": "/rhiz/PHI|OS/LAB/dynamics/uniphi5/uniphi-infinite-universe-starfield-fields-radar.html"
          }
        ],
        "renderLogic": {
          "viewModes": [
            "overview",
            "cascades",
            "intent",
            "instinct",
            "genesis",
            "hypervision"
          ],
          "nestingTypes": [
            "QuasiHypervision<Invariant, Overlay, Scene, State>",
            "NeuralOverlay<Signal, DisplayMode, Synchrony>",
            "SuperState<View, Noise, BridgeDensity>"
          ]
        },
        "physicsReferences": [
          "/rhiz/PHI|OS/LAB/delta/infra/3D_LAB_ARCHITECTURE.md",
          "/rhiz/PHI|OS/LAB/dynamics/graph-sync/README_FIX.md",
          "/rhiz/PHI|OS/LAB/dynamics/time-crytal/README.md"
        ]
      }
    },
    {
      "id": "phi-os-super-states",
      "title": "PHI|OS Super States",
      "path": "/rhiz/PHI|OS/LAB/phi-os/super-states.manifest.json",
      "payload": {
        "id": "phi-os-super-states",
        "title": "PHI|OS Super States",
        "states": [
          {
            "id": "contemplative",
            "trigger": "stationaryScore >= 0.76",
            "meaning": "Reflective, low-friction listening state."
          },
          {
            "id": "liminal",
            "trigger": "stationaryScore between 0.45 and 0.76",
            "meaning": "Porous transition state between listening and projection."
          },
          {
            "id": "kinetic",
            "trigger": "motionEnergy >= 0.72",
            "meaning": "Projected, reactive, high-tension state."
          },
          {
            "id": "swarming",
            "trigger": "sigma swarm density and reciprocity exceed local threshold",
            "meaning": "Collective coordination and adaptive branch discovery."
          },
          {
            "id": "crystalline",
            "trigger": "time-crystal periodicity stabilizes under low graph drift",
            "meaning": "Temporal coherence and repeated observation lock."
          },
          {
            "id": "quasi-hypervision",
            "trigger": "graph sync, overlay coherence, and bridge density exceed immersive threshold",
            "meaning": "Superposed multi-view perception across cards, 3D fields, and symbolic state-space."
          }
        ],
        "transitionRules": [
          "No super-state may erase the base invariant.",
          "Noise remains observable and cannot be collapsed into silence by default.",
          "Super-state transitions must remain reversible unless irreversibility is explicit in the audit trail."
        ]
      }
    },
    {
      "id": "phi-os-system-os-topology",
      "title": "PHI|OS System and OS Topology",
      "path": "/rhiz/PHI|OS/LAB/phi-os/system-os-topology.manifest.json",
      "payload": {
        "id": "phi-os-system-os-topology",
        "title": "PHI|OS System and OS Topology",
        "purpose": "Define the group topology, trust rings, and network scaffolding that bind PHI|OS brain-core services to Akatsuki Singularity and LAB sketches.",
        "topology": {
          "rings": [
            {
              "id": "core-invariant",
              "role": "Genesis, invariant state-space, and odyssee continuity."
            },
            {
              "id": "persona-ring",
              "role": "Kobalt Sigma branches, interview agents, and reflective shadow mesh."
            },
            {
              "id": "interface-ring",
              "role": "Composer cards, dashboard views, immersive overlays, and hypervision surfaces."
            },
            {
              "id": "network-ring",
              "role": "Zero-trust opsys, bridge routing, hypergraph transport, and topology enforcement."
            },
            {
              "id": "governance-ring",
              "role": "Licensing, audit, provenance, and authenticity constraints."
            }
          ],
          "networkMeshes": [
            {
              "id": "brain-core-mesh",
              "role": "Brain architecture, super-states, and neural overlays."
            },
            {
              "id": "group-topology-mesh",
              "role": "Hypergraph combinations, k-transform filtering, and sparsity routing."
            },
            {
              "id": "opsys-mesh",
              "role": "Zero-trust systemics, routing bridges, WireGuard paths, and resilient release surfaces."
            },
            {
              "id": "service-mesh",
              "role": "Akatsuki Singularity services, API gateway, dashboards, and public composer views."
            }
          ],
          "trustModel": [
            "Every state transition preserves the invariant or records an explicit divergence.",
            "Network trust is metabolic and continuously verified rather than perimeter-bound.",
            "Composer combinations can reveal minority branches without collapsing them."
          ]
        },
        "groups": [
          {
            "id": "genesis-core",
            "meaning": "State invariant and zeroth formalism anchor.",
            "members": [
              "apx-core-root",
              "genesis-kernel",
              "invariant-cortex",
              "bridge-hippocampus"
            ]
          },
          {
            "id": "interface-collective",
            "meaning": "Cards, overlays, and hypervision projections.",
            "members": [
              "composer-cards",
              "dashboard",
              "graph-sync-view",
              "time-crystal-view",
              "uniphi-radar"
            ]
          },
          {
            "id": "sigma-shadow-mesh",
            "meaning": "Differential persona set for intent, friction, and authenticity reading.",
            "members": [
              "kobalt-sigma-shadow",
              "kobalt-sigma-heretic",
              "kobalt-sigma-dissident",
              "kobalt-sigma-subversive"
            ]
          },
          {
            "id": "network-fabric",
            "meaning": "Zero-trust and bridge topology for distributed runtime continuity.",
            "members": [
              "zerotrust-systemics",
              "hypergraph-services",
              "routing-bridge",
              "wireguard"
            ]
          }
        ],
        "metrics": [
          "bridge_density",
          "noise_load",
          "sparsity_focus",
          "intent_focus",
          "commutative_consistency",
          "topology_drift",
          "authenticity_score"
        ],
        "references": [
          "/rhiz/PHI|OS/LAB/apx-core/spectra/Spectra_Architecture_Overview.md",
          "/rhiz/PHI|OS/LAB/apx-core/psychometrics/psyche-questions.md",
          "/rhiz/PHI|OS/LAB/dynamics/opsys/zerotrust-systemics/README.md",
          "/rhiz/PHI|OS/LAB/dynamics/opsys/zerotrust-systemics/hypergraph_model.md",
          "/rhiz/PHI|OS/LAB/delta/infra/user-sys-module.md",
          "/rhiz/PHI|OS/LAB/delta/infra/identity.md",
          "/rhiz/PHI|OS/LAB/delta/infrasys-config-directive.md"
        ]
      }
    },
    {
      "id": "phi-os-type-formalism",
      "title": "PHI|OS Namespace and Type Formalism",
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        "group": "Topology",
        "color": "#6a040f",
        "tags": [
          "Opsys",
          "Zero Trust",
          "Bridge"
        ],
        "archetype": "cartographer",
        "collectible": true,
        "collectible_sets": [
          "network-ethos"
        ],
        "summary": "Route metabolic trust and network bridges through PHI|OS runtime surfaces.",
        "source_count": 16,
        "metrics": {
          "k_transform": 0.086311,
          "zeroth_formalism": 0.042881,
          "intent_focus": 0.37111,
          "noise_load": 0.199932,
          "diffusion_span": 0.034769,
          "sparsity_focus": 0.012914,
          "authenticity": 0.269336
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/exosysteme_bundle/app/api/data/default-network.json",
          "/rhiz/PHI|OS/LAB/delta/infra/NETWORK_CONNECTION_DIRECTIVES.md",
          "/rhiz/PHI|OS/LAB/delta/isp/union-internet-box/4g-bridge/README.md",
          "/rhiz/PHI|OS/LAB/delta/uniphil-ch/wireguard/README-WireGuard.md",
          "/rhiz/PHI|OS/LAB/dynamics/opsys/Secure Distributed Architecture with Zero Trust and Systemic Integration 2/Architecture Blueprint: Bio-mimetic Zero-Trust Hypergraph.md",
          "/rhiz/PHI|OS/LAB/dynamics/opsys/Secure Distributed Architecture with Zero Trust and Systemic Integration 2/README.md"
        ]
      },
      {
        "id": "orchestration-mesh",
        "title": "Orchestration Mesh",
        "view": "cascades",
        "group": "Operations",
        "color": "#5f0f40",
        "tags": [
          "Factory",
          "Swarm",
          "Release"
        ],
        "archetype": "conductor",
        "collectible": true,
        "collectible_sets": [
          "odyssee-genesis",
          "network-ethos"
        ],
        "summary": "Bind services, dashboards, directives, and release loops into one mesh.",
        "source_count": 172,
        "metrics": {
          "k_transform": 0.037829,
          "zeroth_formalism": 0.015551,
          "intent_focus": 0.116738,
          "noise_load": 0.294849,
          "diffusion_span": 0.041298,
          "sparsity_focus": 0.003142,
          "authenticity": 0.071969
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/README.md",
          "/rhiz/PHI|OS/LAB/delta/access_ref/access-table.md",
          "/rhiz/PHI|OS/LAB/delta/access_ref/access.md",
          "/rhiz/PHI|OS/LAB/delta/awesome-factory/README.md",
          "/rhiz/PHI|OS/LAB/delta/awesome-factory/docs/architecture.md",
          "/rhiz/PHI|OS/LAB/delta/awesome-factory/docs/getting-started.md"
        ]
      },
      {
        "id": "persona-shadow",
        "title": "Persona Shadow",
        "view": "instinct",
        "group": "Persona",
        "color": "#0f766e",
        "tags": [
          "Sigma",
          "Shadow",
          "Interview"
        ],
        "archetype": "shadow-interviewer",
        "collectible": true,
        "collectible_sets": [
          "noise-to-intent",
          "substance-echo"
        ],
        "summary": "Expose motive, tension, and intent boundaries without collapsing plurality.",
        "source_count": 71,
        "metrics": {
          "k_transform": 0.028194,
          "zeroth_formalism": 0.010543,
          "intent_focus": 0.037683,
          "noise_load": 0.252654,
          "diffusion_span": 0.00419,
          "sparsity_focus": 2.5e-05,
          "authenticity": 0.036406
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/agents/alphaEvolveAgent.js",
          "/rhiz/PHI|OS/LAB/delta/agents/geneticAgentSystem.js",
          "/rhiz/PHI|OS/LAB/delta/agents/giuliaStudioEngine.js",
          "/rhiz/PHI|OS/LAB/delta/agents/selfImproving.js",
          "/rhiz/PHI|OS/LAB/delta/agents/sigmaAlgeaSwarm.js",
          "/rhiz/PHI|OS/LAB/delta/github-config/rulesets/uniphilô-sigma.json"
        ]
      },
      {
        "id": "type-formalism",
        "title": "Type Formalism",
        "view": "genesis",
        "group": "Formalism",
        "color": "#3a0ca3",
        "tags": [
          "Types",
          "Zeroth",
          "Functor"
        ],
        "archetype": "axiom-player",
        "collectible": true,
        "collectible_sets": [
          "odyssee-genesis",
          "noise-to-intent"
        ],
        "summary": "Project zeroth-axis and functor types through sparse symbolic reasoning.",
        "source_count": 29,
        "metrics": {
          "k_transform": 0.057104,
          "zeroth_formalism": 0.022294,
          "intent_focus": 0.204603,
          "noise_load": 0.339707,
          "diffusion_span": 0.139243,
          "sparsity_focus": 0.00342,
          "authenticity": 0.108537
        },
        "sample_paths": [
          "/rhiz/PHI|OS/LAB/delta/compute/engine/cellGrid.js",
          "/rhiz/PHI|OS/LAB/delta/compute/engine/integralLine.js",
          "/rhiz/PHI|OS/LAB/delta/compute/engine/tensorField.js",
          "/rhiz/PHI|OS/LAB/delta/infra/lab-quanta/QUANTUM_LAB_BUILD_TEST_RELEASE_IMPLEMENTATION.md",
          "/rhiz/PHI|OS/LAB/delta/infra/lab-quanta/QUANTUM_LAB_CURRENT_PHASE_IMPLEMENTATION.md",
          "/rhiz/PHI|OS/LAB/delta/infra/lab-quanta/QUANTUM_LAB_NEXT_PHASES_AND_TECHNICAL_ABSTRACT.md"
        ]
      }
    ],
    "metric_averages": {
      "asymmetry": 0.0,
      "bridge_signal": 0.000844,
      "cascade_orchestrator": 0.001819,
      "confidence_mark": 0.000575,
      "confidence_signal": 0.05891,
      "creative_completion": 0.058549,
      "cross_domain_bridge": 0.001502,
      "decoherence": 0.07772,
      "dynamical_paradigm": 0.001893,
      "emotion": 0.11584,
      "friction": 0.012583,
      "functor_semantics": 0.000644,
      "identity": 0.129164,
      "irreversibility": 0.15285,
      "numeral_identity": 0.108626,
      "peer_intent": 0.083765,
      "persona_projection": 0.001,
      "proof_state_machine": 0.002052,
      "quadrature_aggregate": 0.000113,
      "souvenir_transfer": 0.000386,
      "sparsity": 0.000305,
      "sparsity_signal": 0.004114,
      "substance_axis": 0.054404,
      "symbolic_signal": 0.014051,
      "symmetry": 0.000164,
      "symmetry_tension": 0.000164,
      "variety_space_identity": 0.001725
    }
  },
  "summary": {
    "inputs": 11,
    "root_archive_docs": 16,
    "lab_modules": 13,
    "lab_sketches": 386,
    "lab_cards": 9,
    "df5_presets": 7,
    "models": [
      "swiss-ai/Apertus-70B-Instruct-2509"
    ],
    "top_tags": [
      [
        "phi-os",
        1
      ],
      [
        "apertus",
        1
      ],
      [
        "identity",
        1
      ],
      [
        "functor",
        1
      ],
      [
        "state-space",
        1
      ],
      [
        "irreversibility",
        1
      ]
    ],
    "metric_averages": {
      "asymmetry": 0.0,
      "bridge_signal": 0.00825,
      "cascade_orchestrator": 0.00506,
      "confidence_mark": 0.001419,
      "confidence_signal": 0.01213,
      "creative_completion": 0.145455,
      "cross_domain_bridge": 0.009065,
      "decoherence": 0.121212,
      "dynamical_paradigm": 0.015215,
      "emotion": 0.090909,
      "friction": 0.103896,
      "functor_semantics": 0.00965,
      "identity": 0.233766,
      "irreversibility": 0.363636,
      "numeral_identity": 0.001558,
      "peer_intent": 0.106061,
      "persona_projection": 0.005445,
      "proof_state_machine": 0.010205,
      "quadrature_aggregate": 0.003343,
      "souvenir_transfer": 0.006035,
      "sparsity": 0.002676,
      "sparsity_signal": 0.04548,
      "substance_axis": 0.181818,
      "symbolic_signal": 0.100805,
      "symmetry": 0.0,
      "symmetry_tension": 0.0,
      "variety_space_identity": 0.016422
    },
    "lab_metric_averages": {
      "asymmetry": 0.0,
      "bridge_signal": 0.000844,
      "cascade_orchestrator": 0.001819,
      "confidence_mark": 0.000575,
      "confidence_signal": 0.05891,
      "creative_completion": 0.058549,
      "cross_domain_bridge": 0.001502,
      "decoherence": 0.07772,
      "dynamical_paradigm": 0.001893,
      "emotion": 0.11584,
      "friction": 0.012583,
      "functor_semantics": 0.000644,
      "identity": 0.129164,
      "irreversibility": 0.15285,
      "numeral_identity": 0.108626,
      "peer_intent": 0.083765,
      "persona_projection": 0.001,
      "proof_state_machine": 0.002052,
      "quadrature_aggregate": 0.000113,
      "souvenir_transfer": 0.000386,
      "sparsity": 0.000305,
      "sparsity_signal": 0.004114,
      "substance_axis": 0.054404,
      "symbolic_signal": 0.014051,
      "symmetry": 0.000164,
      "symmetry_tension": 0.000164,
      "variety_space_identity": 0.001725
    }
  },
  "persona_modules": [
    {
      "id": "kobalt-sigma-shadow",
      "label": "Shadow",
      "upstream": "kobalt-sigma",
      "mode": "differential-persona",
      "role": "Surface pain, suppressed motive, and trust boundaries without erasing contact."
    },
    {
      "id": "kobalt-sigma-heretic",
      "label": "Heretic",
      "upstream": "kobalt-sigma",
      "mode": "creative-completion",
      "role": "Break false closure and resist consensus when the invariant is being flattened."
    },
    {
      "id": "kobalt-sigma-dissident",
      "label": "Dissident",
      "upstream": "kobalt-sigma",
      "mode": "branch-preservation",
      "role": "Preserve minority branches and alternative state transitions."
    },
    {
      "id": "kobalt-sigma-subversive",
      "label": "Subversive",
      "upstream": "kobalt-sigma",
      "mode": "creative-completion",
      "role": "Reframe the dominant pattern to unlock latent traits without destroying the invariant."
    }
  ],
  "constraints": [
    "Preserve the unique identity invariant across every persona branch.",
    "Treat emotion as a state update, not as decorative language.",
    "Reduce friction before enforcing coherence when peer intent is uncertain.",
    "Track decoherence and irreversibility as explicit audit constraints.",
    "Allow shadow, heretic, dissident, and subversive branches to remain commutative with Akatsuki ethos."
  ],
  "state_functor": {
    "axes": [
      "identity_invariant",
      "peer_intent",
      "emotion",
      "decoherence",
      "irreversibility",
      "creative_completion",
      "substance_axis"
    ],
    "group_elements": [
      "peer",
      "instance",
      "node",
      "persona",
      "domain",
      "bridge"
    ]
  },
  "automation": {
    "sync_script": "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-thought-experiment-sync.sh",
    "command": "/rhiz/akatsuki/singularity/deploy/scripts/phi-os-thought-experiment-sync.sh"
  },
  "sensitive_framework": {
    "root": "romantique sensible poethique",
    "profiles": [
      {
        "id": "blossoming",
        "label": "Blossoming",
        "color_theory": "warm-cool contrast",
        "shader_rule": "Open nearby peers through warmth-to-coolness interpolation."
      },
      {
        "id": "substance",
        "label": "Substance",
        "color_theory": "light-dark contrast",
        "shader_rule": "Carry attention beyond the frame, dissolve substance into precept, and route affect into tangible material experience."
      },
      {
        "id": "emancipation",
        "label": "Emancipation",
        "color_theory": "complementary contrast",
        "shader_rule": "Release constrained traits into visible motion."
      },
      {
        "id": "critics",
        "label": "Critics",
        "color_theory": "simultaneous contrast",
        "shader_rule": "Reveal misalignment between declared intent and lived tone."
      },
      {
        "id": "tension",
        "label": "Tension",
        "color_theory": "saturation contrast",
        "shader_rule": "Hold unresolved charge without forcing premature closure."
      },
      {
        "id": "meditation",
        "label": "Meditation",
        "color_theory": "extension contrast",
        "shader_rule": "Expand quiet presence so meaning can settle without friction."
      }
    ],
    "interaction_rule": "When peers are spatially close, shader fields interact, graph edges stay attached under deformation, and the system may exchange haiku.",
    "haiku": [
      "Warm bloom touches blue\nShaders cross the silent threshold\nWaves remember light",
      "Old scars turn to paint\nA cool flame softens the dusk\nBreath becomes a bridge"
    ],
    "psyche_routes": [
      {
        "id": "substance",
        "label": "Substance Route",
        "axis": "zeroth-axis",
        "seed": "Porter l attention, projeter l interaction hors du cadre, dissoudre la substance au precept.",
        "materials": [
          "experience",
          "affect",
          "souvenir genesis",
          "lissajous harmonics"
        ],
        "dynamics": [
          "spatially close peers trigger shader interaction",
          "haiku release acts as low-friction symbolic transfer",
          "graph-sync preserves edge coherence while states deform",
          "thought-tree exposes focus, calm, and noise as visible branches"
        ],
        "references": [
          "/rhiz/PHI|OS/LAB/apx-core/psychometrics/psyche-questions.md",
          "/rhiz/PHI|OS/LAB/apx-core/arkiv/thoughtTree.js",
          "/rhiz/PHI|OS/LAB/dynamics/graph-sync/main.fixed.js"
        ]
      }
    ]
  },
  "inputs": [
    {
      "id": "phi-os-apertus-identity-invariant",
      "title": "Apertus Identity Invariant State-Space Functor",
      "kind": "json",
      "path": "/rhiz/PHI|OS/thought-experiment/input/001_apertus_identity_invariant.json",
      "model": "swiss-ai/Apertus-70B-Instruct-2509",
      "tags": [
        "phi-os",
        "apertus",
        "identity",
        "functor",
        "state-space",
        "irreversibility"
      ],
      "text": "Apertus Identity Invariant State-Space Functor\nIn 2023, Imperial College London scientists successfully performed the classic double-slit experiment in time instead of space. By rapidly changing a material's reflectivity using ultra-fast lasers, they created time slits. This caused light waves to change color rather than direction.\nIntegrate Apertus 70B into PHI|OS as a unique identity invariant state-space functor architecture.\n3 Numeral identity\nCross referenced domains interpolated bridge\nFunctor semantic invariantiel != LLM\nSouvenirs != Sigma memory | contact par transfert de domaine\nEncoded Shor proof state machine superposed hashed protocol\nDynamical paradigm genesis != realm genericity\nCascading orchestrator and monitoring protocols\nPolymorphism in quadrature to zeroth linear aggregate\nVariety in space and identity != epistemological pure logics\nPreserve one identity invariant across every persona projection.\nTreat emotion and meaning as observables rather than decorative outputs.\nReduce friction before forcing coherence.\nTrack irreversibility and decoherence as creative constraints.\nDiscretisation probability module proof is not applicable as stated.\nDifferential persona branches must stay commutative with the base ethos.\nCreative completion cannot erase the shadow trace.\nphi-os\napertus\nidentity\nfunctor\nstate-space\nirreversibility",
      "heuristics": {
        "numeral_identity": 0.017143,
        "cross_domain_bridge": 0.017143,
        "functor_semantics": 0.045714,
        "souvenir_transfer": 0.017143,
        "proof_state_machine": 0.051429,
        "dynamical_paradigm": 0.022857,
        "cascade_orchestrator": 0.017143,
        "quadrature_aggregate": 0.028571,
        "variety_space_identity": 0.068571,
        "persona_projection": 0.022857,
        "confidence_mark": 0.0,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.0,
        "bridge_signal": 0.026667,
        "confidence_signal": 0.008571,
        "sparsity_signal": 0.114284,
        "symbolic_signal": 0.423809,
        "symmetry_tension": 0.0,
        "emotion": 0.0,
        "identity": 1.0,
        "peer_intent": 0.0,
        "friction": 0.142857,
        "decoherence": 0.166667,
        "irreversibility": 1.0,
        "creative_completion": 0.6,
        "substance_axis": 0.166667
      }
    },
    {
      "id": "002_kobalt_sigma_persona_shadow",
      "title": "002 Kobalt Sigma Persona Shadow",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/002_kobalt_sigma_persona_shadow.md",
      "model": null,
      "tags": [],
      "text": "# Kobalt Sigma Differential Persona\n\nKobalt Sigma enters PHI|OS as a differential persona shadow layer inside Akatsuki Singularity.\n\n## Persona branches\n\n- `shadow`: surfaces pain, hesitation, unspoken motive, and trust boundaries.\n- `heretic`: breaks false closure and resists overfit consensus.\n- `dissident`: preserves alternative branches when the main thread collapses into compliance.\n- `subversive`: performs creative completion by reframing the dominant pattern without destroying the invariant.\n\n## Differential game\n\nGeneration by symbolic inference between peers, instances, nodes, and group elements.\n\n- Extrapolate peer intent without forcing premature explanation.\n- Treat emotion as a state update.\n- Track identity cohesion against adaptation drift.\n- Reduce friction on decoherence so trait expression can emerge.\n- Keep irreversible statements visible in the audit trail.\n\n## Creative completion\n\nThe system should not autocomplete over the moment. It should complete creatively:\n\n- preserve the singular invariant\n- expose shadow pressure\n- open dissent without severing contact\n- convert heresy into structured exploration",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.0,
        "functor_semantics": 0.012346,
        "souvenir_transfer": 0.006173,
        "proof_state_machine": 0.006173,
        "dynamical_paradigm": 0.0,
        "cascade_orchestrator": 0.0,
        "quadrature_aggregate": 0.0,
        "variety_space_identity": 0.006173,
        "persona_projection": 0.037037,
        "confidence_mark": 0.006173,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.0,
        "bridge_signal": 0.006173,
        "confidence_signal": 0.049384,
        "sparsity_signal": 0.0,
        "symbolic_signal": 0.13889,
        "symmetry_tension": 0.0,
        "emotion": 0.285714,
        "identity": 1.0,
        "peer_intent": 0.666667,
        "friction": 0.571429,
        "decoherence": 0.5,
        "irreversibility": 0.8,
        "creative_completion": 1.0,
        "substance_axis": 0.0
      }
    },
    {
      "id": "003_sensitive_framework",
      "title": "003 Sensitive Framework",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/003_sensitive_framework.md",
      "model": null,
      "tags": [],
      "text": "# PHI|OS Sensitive Framework\n\nRoot romantique sensible poethique.\n\nSensibilite profiles:\n\n- blossoming\n- substance\n- emancipation\n- critics\n- tension\n- meditation\n\nThe sensitivity group is interpolated with color theory.\n\n- Blossoming -> chaud / froid in the seven elementary contrasts.\n- When people are spatially close, the shaders interact.\n- Send haiku across the contact surface.\n\nPoetry context example:\n\nBetween all the blueish tears of an unbearable hell spreading through his body, stands the memory of a suffering washed away by time. A fluid motion embodies the canvas turning tears into waves as pain vanish for a part of eternity.\n\nAmidst a burst of emotions soaking her peaceful mind, meaningful feelings were escaping her head as pouring onto the canvas only bounded by the beauty of her imagination. The old scars she was carrying as burdens had turned into strengths underlining the beauty of beings able to materialize their thoughts.",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.0,
        "functor_semantics": 0.0,
        "souvenir_transfer": 0.013158,
        "proof_state_machine": 0.0,
        "dynamical_paradigm": 0.0,
        "cascade_orchestrator": 0.0,
        "quadrature_aggregate": 0.0,
        "variety_space_identity": 0.0,
        "persona_projection": 0.0,
        "confidence_mark": 0.0,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.0,
        "bridge_signal": 0.004386,
        "confidence_signal": 0.0,
        "sparsity_signal": 0.0,
        "symbolic_signal": 0.010965,
        "symmetry_tension": 0.0,
        "emotion": 0.428571,
        "identity": 0.0,
        "peer_intent": 0.0,
        "friction": 0.142857,
        "decoherence": 0.0,
        "irreversibility": 0.0,
        "creative_completion": 0.0,
        "substance_axis": 0.5
      }
    },
    {
      "id": "004_immersive_funnel",
      "title": "004 Immersive Funnel",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/004_immersive_funnel.md",
      "model": null,
      "tags": [],
      "text": "# PHI|OS Immersive Funnel\n\nGenerate a native app and a web app running PHI|OS with:\n\n- modular integration\n- smart gating\n- immersive 3D environments\n- real world physics\n- graphics, dynamics, and interactions\n- a funnel guiding the user through preference assessment\n- sensitive playful interaction\n\nThe funnel should progress through observation, resonance, play, immersion, and commitment.\n\nAssess preferences through:\n\n- sensitivity profiles\n- color-space affinity\n- motion and stationary heuristics\n- consent and trust signals\n- haiku exchange\n- nearby resonance graphs\n\n3D scenes should stage the user inside dynamic environments where shader interaction, gravity-like motion, and symbolic objects express the state-space.",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.0,
        "functor_semantics": 0.0,
        "souvenir_transfer": 0.0,
        "proof_state_machine": 0.009434,
        "dynamical_paradigm": 0.009434,
        "cascade_orchestrator": 0.0,
        "quadrature_aggregate": 0.0,
        "variety_space_identity": 0.028302,
        "persona_projection": 0.0,
        "confidence_mark": 0.009434,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.0,
        "bridge_signal": 0.0,
        "confidence_signal": 0.075472,
        "sparsity_signal": 0.0,
        "symbolic_signal": 0.09434,
        "symmetry_tension": 0.0,
        "emotion": 0.142857,
        "identity": 0.0,
        "peer_intent": 0.166667,
        "friction": 0.0,
        "decoherence": 0.0,
        "irreversibility": 0.2,
        "creative_completion": 0.0,
        "substance_axis": 0.166667
      }
    },
    {
      "id": "005_genesis_index",
      "title": "005 Genesis Index",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/005_genesis_index.md",
      "model": null,
      "tags": [],
      "text": "# PHI|OS Genesis Index\n\nCanonical source:\n\n- `/rhiz/PHI|OS/genesis/phi-os.genesis-index.json`\n\nModule genesis surfaces:\n\n- overview\n- cascades\n- intent\n- instinct\n- genesis\n\nThe interface should use the Akatsuki composer card system to project invariant state spaces through nesting class definitions, group-set validity, bridge conversion, sparsity SDQ, diffusion, and noise.",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.02,
        "functor_semantics": 0.02,
        "souvenir_transfer": 0.0,
        "proof_state_machine": 0.02,
        "dynamical_paradigm": 0.1,
        "cascade_orchestrator": 0.02,
        "quadrature_aggregate": 0.0,
        "variety_space_identity": 0.02,
        "persona_projection": 0.0,
        "confidence_mark": 0.0,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.02,
        "bridge_signal": 0.013333,
        "confidence_signal": 0.0,
        "sparsity_signal": 0.24,
        "symbolic_signal": 0.133333,
        "symmetry_tension": 0.0,
        "emotion": 0.0,
        "identity": 0.142857,
        "peer_intent": 0.166667,
        "friction": 0.0,
        "decoherence": 0.333333,
        "irreversibility": 0.2,
        "creative_completion": 0.0,
        "substance_axis": 0.0
      }
    },
    {
      "id": "006_lab_brain_architecture",
      "title": "006 Lab Brain Architecture",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/006_lab_brain_architecture.md",
      "model": null,
      "tags": [],
      "text": "# PHI|OS LAB Brain Architecture\n\nThe LAB extension should not invent a separate mind. It should bind existing LAB assets into PHI|OS genesis.\n\nPrimary manifests:\n\n- `/rhiz/PHI|OS/LAB/phi-os/brain-architecture.manifest.json`\n- `/rhiz/PHI|OS/LAB/phi-os/neural-overlays.manifest.json`\n- `/rhiz/PHI|OS/LAB/phi-os/super-states.manifest.json`\n- `/rhiz/PHI|OS/LAB/phi-os/quasi-hypervision.manifest.json`\n\nOperational references:\n\n- `/rhiz/PHI|OS/LAB/apx-core/arkiv/thoughtTree.js`\n- `/rhiz/PHI|OS/LAB/dynamics/graph-sync/main.fixed.js`\n- `/rhiz/PHI|OS/LAB/dynamics/time-crytal/main.js`\n- `/rhiz/PHI|OS/LAB/delta/agents/geneticAgentSystem.js`\n- `/rhiz/PHI|OS/LAB/delta/agents/sigmaAlgeaSwarm.js`\n- `/rhiz/PHI|OS/LAB/delta/infra/3D_LAB_ARCHITECTURE.md`\n\nContinue genesis through:\n\n- brain layers\n- neural overlays\n- super states\n- quasi hypervision\n- cards composer projection",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.0,
        "functor_semantics": 0.0,
        "souvenir_transfer": 0.0,
        "proof_state_machine": 0.0,
        "dynamical_paradigm": 0.025641,
        "cascade_orchestrator": 0.0,
        "quadrature_aggregate": 0.0,
        "variety_space_identity": 0.0,
        "persona_projection": 0.0,
        "confidence_mark": 0.0,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.0,
        "bridge_signal": 0.0,
        "confidence_signal": 0.0,
        "sparsity_signal": 0.0,
        "symbolic_signal": 0.0,
        "symmetry_tension": 0.0,
        "emotion": 0.142857,
        "identity": 0.0,
        "peer_intent": 0.0,
        "friction": 0.0,
        "decoherence": 0.0,
        "irreversibility": 0.4,
        "creative_completion": 0.0,
        "substance_axis": 0.0
      }
    },
    {
      "id": "007_substance_route",
      "title": "007 Substance Route",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/007_substance_route.md",
      "model": null,
      "tags": [],
      "text": "## PHI|OS Substance Route\n\nPorter l attention, c est projeter l interaction en dehors du cadre, evoquer l appreciation sans surplus de consideration, dissoudre la substance au precept.\n\nPHI|OS routes psyche around substance as a zeroth axis:\n\n- attention leaves the frame before it hardens into fixed meaning\n- affect remains material and tangible\n- spatial proximity triggers shader interaction\n- graph-sync preserves coherence between nodes and edges during deformation\n- haiku acts as low-friction symbolic transfer\n- souvenirs remain evidence-bearing traces rather than generic memory\n\nThis route binds:\n\n- `/rhiz/PHI|OS/LAB/apx-core/psychometrics/psyche-questions.md`\n- `/rhiz/PHI|OS/LAB/apx-core/arkiv/thoughtTree.js`\n- `/rhiz/PHI|OS/LAB/dynamics/graph-sync/main.fixed.js`\n\nUnified uniqueness:\n\n- one invariant PHI|OS identity\n- plural states and branches\n- substance as catalyst for appreciation, not static matter",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.008197,
        "functor_semantics": 0.008197,
        "souvenir_transfer": 0.02459,
        "proof_state_machine": 0.0,
        "dynamical_paradigm": 0.0,
        "cascade_orchestrator": 0.0,
        "quadrature_aggregate": 0.008197,
        "variety_space_identity": 0.008197,
        "persona_projection": 0.0,
        "confidence_mark": 0.0,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.0,
        "bridge_signal": 0.013661,
        "confidence_signal": 0.0,
        "sparsity_signal": 0.032788,
        "symbolic_signal": 0.054646,
        "symmetry_tension": 0.0,
        "emotion": 0.0,
        "identity": 0.285714,
        "peer_intent": 0.0,
        "friction": 0.142857,
        "decoherence": 0.0,
        "irreversibility": 0.4,
        "creative_completion": 0.0,
        "substance_axis": 1.0
      }
    },
    {
      "id": "008_df5_preset_series",
      "title": "008 Df5 Preset Series",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/008_df5_preset_series.md",
      "model": null,
      "tags": [],
      "text": "## df5 Preset Series\n\nProject `/rhiz/df5` sketches into the PHI|OS composer as preset cards and combination series.\n\nPreset families:\n\n- ordinal stream: tensor field, RK4 integral lines, occupancy grid\n- spectra mesh visualizer: live mesh, entropy, agent topology\n- tensorfield enhanced: discrete tensor fields and layered operators\n- integral lines vanilla: sparse line growth and noise modulation\n- generative audio visual: deterministic audio-reactive grids\n- liquid entropy: shader resonance, nebula, affective drift\n- hyper multiverse: nested world-space and infinite mesh perception\n\nIntent:\n\n- combine presets with PHI|OS LAB card clusters\n- expose source counts and metric vectors\n- preserve provenance of each preset entry",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.0,
        "functor_semantics": 0.0,
        "souvenir_transfer": 0.0,
        "proof_state_machine": 0.0,
        "dynamical_paradigm": 0.009434,
        "cascade_orchestrator": 0.0,
        "quadrature_aggregate": 0.0,
        "variety_space_identity": 0.018868,
        "persona_projection": 0.0,
        "confidence_mark": 0.0,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.009434,
        "bridge_signal": 0.0,
        "confidence_signal": 0.0,
        "sparsity_signal": 0.113208,
        "symbolic_signal": 0.04717,
        "symmetry_tension": 0.0,
        "emotion": 0.0,
        "identity": 0.0,
        "peer_intent": 0.166667,
        "friction": 0.0,
        "decoherence": 0.333333,
        "irreversibility": 0.0,
        "creative_completion": 0.0,
        "substance_axis": 0.166667
      }
    },
    {
      "id": "009_quantum_sqd_bridge",
      "title": "009 Quantum Sqd Bridge",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/009_quantum_sqd_bridge.md",
      "model": null,
      "tags": [],
      "text": "{\n  \"id\": \"phi-os-quantum-sqd-bridge\",\n  \"title\": \"PHI|OS Quantum SQD Bridge\",\n  \"seed\": \"Use sample-based quantum diagonalization as a bridge pattern for projected subspaces, state-space reduction, and evidence-bearing diagonalization rather than as a loose metaphor.\",\n  \"objective\": \"Introduce a source-backed quantum bridge into PHI|OS while keeping the implementation at placeholder/planning level until dedicated modules exist.\",\n  \"formalism\": [\n    \"Sample-based quantum diagonalization projects a Hamiltonian onto a useful subspace before classical diagonalization.\",\n    \"PHI|OS can reuse this pattern as a state-space reduction heuristic for hypergraph cards, functor metrics, and bridge density scoring.\",\n    \"Half-Mobius topology remains a chemistry/topology inspiration surface, not an implemented PHI|OS solver.\"\n  ],\n  \"directives\": [\n    \"Bind SQD as a formal analogy for useful subspace projection and evidence-based memory.\",\n    \"Keep quantum chemistry and topology references in a dedicated placeholder until dedicated compute modules land.\",\n    \"Expose IBM SQD and the Science DOI as references in manifests rather than pretending runtime quantum execution exists locally.\"\n  ],\n  \"constraints\": [\n    \"Do not represent PHI|OS as running real quantum hardware locally.\",\n    \"Keep the functor metrics space marked placeholder.\",\n    \"Preserve unified uniqueness across quantum, symbolic, and operational projections.\"\n  ],\n  \"tags\": [\n    \"quantum\",\n    \"sqd\",\n    \"state-space\",\n    \"projection\",\n    \"unified-uniqueness\"\n  ]\n}",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.026596,
        "functor_semantics": 0.010638,
        "souvenir_transfer": 0.005319,
        "proof_state_machine": 0.015957,
        "dynamical_paradigm": 0.0,
        "cascade_orchestrator": 0.0,
        "quadrature_aggregate": 0.0,
        "variety_space_identity": 0.021277,
        "persona_projection": 0.0,
        "confidence_mark": 0.0,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.0,
        "bridge_signal": 0.014184,
        "confidence_signal": 0.0,
        "sparsity_signal": 0.0,
        "symbolic_signal": 0.128546,
        "symmetry_tension": 0.0,
        "emotion": 0.0,
        "identity": 0.0,
        "peer_intent": 0.0,
        "friction": 0.0,
        "decoherence": 0.0,
        "irreversibility": 0.6,
        "creative_completion": 0.0,
        "substance_axis": 0.0
      }
    },
    {
      "id": "010_edge_agent_reasoning_corpus",
      "title": "010 Edge Agent Reasoning Corpus",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/010_edge_agent_reasoning_corpus.md",
      "model": null,
      "tags": [],
      "text": "# PHI|OS Edge-Agent Reasoning Corpus\n\nIntroduce the Hugging Face dataset:\n\n- `https://huggingface.co/datasets/yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K`\n\nBind it into PHI|OS as a corpus feed for:\n\n- interviewer decomposition\n- web-search reasoning traces\n- edge-agent evaluation\n- sensitive RAG and tool-use retrospection\n\nCanonical corpus path:\n\n- `/rhiz/PHI|OS/corpus/huggingface/Edge-Agent-Reasoning-WebSearch-260K`\n\nRuntime dataset link:\n\n- `/rhiz/factory/hypergraph_meta_cluster_bundle/data/datasets/edge-agent-reasoning-websearch-260k`\n\nSync command:\n\n- `/rhiz/akatsuki/singularity/deploy/scripts/phi-os-corpus-sync.sh sync edge-agent-reasoning-websearch-260k`\n\nConstraint:\n\n- Do not represent this corpus as locally available until the sync command has completed successfully.",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.0,
        "functor_semantics": 0.0,
        "souvenir_transfer": 0.0,
        "proof_state_machine": 0.0,
        "dynamical_paradigm": 0.0,
        "cascade_orchestrator": 0.0,
        "quadrature_aggregate": 0.0,
        "variety_space_identity": 0.0,
        "persona_projection": 0.0,
        "confidence_mark": 0.0,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.0,
        "bridge_signal": 0.0,
        "confidence_signal": 0.0,
        "sparsity_signal": 0.0,
        "symbolic_signal": 0.0,
        "symmetry_tension": 0.0,
        "emotion": 0.0,
        "identity": 0.0,
        "peer_intent": 0.0,
        "friction": 0.0,
        "decoherence": 0.0,
        "irreversibility": 0.2,
        "creative_completion": 0.0,
        "substance_axis": 0.0
      }
    },
    {
      "id": "011_fourth_turing",
      "title": "011 Fourth Turing",
      "kind": "md",
      "path": "/rhiz/PHI|OS/thought-experiment/input/011_fourth_turing.md",
      "model": null,
      "tags": [],
      "text": "# The Fourth Turing\n\nImplement The Fourth Turing in PHI|OS predictive analysis.\n\nThe frame is not imitation. It is predictive invariance under deformation.\n\nUse PHI|OS to estimate:\n\n- invariant continuity\n- bridge fidelity\n- counterfactual readiness\n- ethics pressure\n\nRules:\n\n- prediction must survive translation across domains\n- side-brain intervention is required when paradox load exceeds stable bridge density\n- ethical retroaction must override confident but destructive forecasts\n- expose the forecast as a state-space series in BI, monitoring, and composer surfaces\n\nBind it into:\n\n- PHI|OS LAB manifest\n- thought experiment bundle\n- control-plane overview\n- composer card interface\n- Kobalt predictive analysis runtime",
      "heuristics": {
        "numeral_identity": 0.0,
        "cross_domain_bridge": 0.027778,
        "functor_semantics": 0.009259,
        "souvenir_transfer": 0.0,
        "proof_state_machine": 0.009259,
        "dynamical_paradigm": 0.0,
        "cascade_orchestrator": 0.018519,
        "quadrature_aggregate": 0.0,
        "variety_space_identity": 0.009259,
        "persona_projection": 0.0,
        "confidence_mark": 0.0,
        "symmetry": 0.0,
        "asymmetry": 0.0,
        "sparsity": 0.0,
        "bridge_signal": 0.012346,
        "confidence_signal": 0.0,
        "sparsity_signal": 0.0,
        "symbolic_signal": 0.077159,
        "symmetry_tension": 0.0,
        "emotion": 0.0,
        "identity": 0.142857,
        "peer_intent": 0.0,
        "friction": 0.142857,
        "decoherence": 0.0,
        "irreversibility": 0.2,
        "creative_completion": 0.0,
        "substance_axis": 0.0
      }
    }
  ]
}
