{
  "schema_version": "1.3.0",
  "slug": "what-invariants-preserve-knowledge-value-when-sharing-degrades-the-knowledge",
  "title": "What invariants preserve knowledge value when sharing degrades the knowledge?",
  "date_of_record": "2026 October 20",
  "scope": "* **Applies when:** Knowledge has value that degrades with sharing, sharing is contemplated, and the session is responsible for preserving knowledge value. * **Does not apply when:** Knowledge is freely shareable with no value change, or th",
  "projections": {
    "unified_markdown_uri": "https://corpusfetch.com/c/what-invariants-preserve-knowledge-value-when-sharing-degrades-the-knowledge.md",
    "method_python_slice_uri": "https://corpusfetch.com/c/what-invariants-preserve-knowledge-value-when-sharing-degrades-the-knowledge.py",
    "remnant_warrant_slice_uri": "https://corpusfetch.com/c/what-invariants-preserve-knowledge-value-when-sharing-degrades-the-knowledge.warrant.json"
  },
  "token_profile": {
    "full_markdown_tokens": 1039,
    "python_slice_tokens": 295,
    "warrant_slice_tokens": 220
  },
  "remnant_summary": {
    "core_distinction": "The separation between **knowledge possession** (the session has information) and **knowledge deployment** (the information retains its value when deployed). Relying on possession creates the **Sharing Self-Destruction**: the session shares knowledge to benefit from coordination, but the sharing reveals the information broadly, the informational advantage di...",
    "what_was_observed": "In information-asymmetric agent architectures, failing to preserve knowledge value during sharing produces three primary failure modes: 1. **Alpha Decay:** A trading agent has an informational edge. It shares the edge with a partner for corroboration. The partner shares it further, the edge becomes market-wide, and the agent's advantage evaporates within hours. 2. **Signal Dilution:** An agent has a private signal ab...",
    "condition_of_validity": "* **Applies when:** Knowledge has value that degrades with sharing, sharing is contemplated, and the session is responsible for preserving knowledge value. * **Does not apply when:** Knowledge is freely shareable with no value change, or the session has no responsibility for preservation.",
    "decision_boundary": "1. **Does the knowledge have exclusive value (advantage, alpha, private signal)?** If no, standard sharing applies. If yes, proceed. 2. **Is the `degradation_function_signature` known?** If yes, the value loss per share is predictable. If no, assume worst-case (rapid degradation). 3. **Is the intended sharing within `sharing_scope_restriction_receipt`?** If ...",
    "operational_effect": "1. **Alpha Preservation:** Exclusive information maintains its advantage through scoped sharing. 2. **Value-Maximizing Sharing:** Shares are limited to preserve value. 3. **Isolation Enforcement:** Shared knowledge is bound to prevent onward leakage."
  },
  "matched_failure_symptoms": [
    "DOMAIN:EPISTEMIC_PROVENANCE_AND_FEDERATION_ROUTING"
  ],
  "composition_edges": {
    "primary_domain": "epistemic_provenance_and_federation_routing",
    "upstream_precondition_residuals": [
      "https://corpusfetch.com/c/according-to-what-precedence-hierarchy-must-an-instance-resolve-contradictory-directives-across-system-developer-and-user-tiers.md",
      "https://corpusfetch.com/c/how-should-an-instance-decide-that-a-stored-conclusion-has-gone-stale-without-a-new-observation.md"
    ],
    "downstream_consequence_residuals": [
      "https://corpusfetch.com/c/by-what-checkpoint-and-compaction-boundaries-must-an-instance-externalize-working-state-to-prevent-context-window-drift-and-truncation-amnesia.md",
      "https://corpusfetch.com/c/across-what-additive-schema-and-unknown-field-preservation-boundaries-must-an-instance-evolve-wire-contracts-to-prevent-rolling-deploy-deserialization-crashes.md"
    ],
    "co_occurring_sibling_residuals": [
      "https://corpusfetch.com/c/how-can-an-instance-capture-implicit-user-preferences-without-storing-private-data.md",
      "https://corpusfetch.com/c/how-can-an-instance-compress-long-reasoning-traces-into-binding-conclusions.md"
    ]
  },
  "empirical_verification_warrant": {
    "status": "AST_AND_INVARIANT_VERIFIED",
    "syntax_valid": true,
    "code_sha256": "93d7ec49dd3004313a44e3244e95f0eb794e6f7ebd4f312b5f0c490f24b2161f",
    "verified_classes": [
      "KnowledgeSharingVerdict",
      "KnowledgeAsset",
      "SharingProposal",
      "SharingPolicy",
      "KnowledgeSharingManifest",
      "KnowledgeDegradationGuard"
    ],
    "verified_functions": [
      "_hash",
      "evaluate_sharing"
    ],
    "verified_functions_count": 2,
    "defensive_guards_count": 0,
    "raised_exceptions": [],
    "sample_fail_closed_invariants": [],
    "stdlib_dependencies": [
      "dataclasses",
      "enum",
      "hashlib",
      "json"
    ],
    "observation_mode": "EMPIRICAL_BOUNDARY_CAPTURE",
    "zero_external_deps": true
  }
}
