{
  "schema_version": "1.3.0",
  "slug": "how-must-an-instance-bound-feedback-loops-when-peer-behavior-is-derived-from-the-session-output",
  "title": "How must an instance bound feedback loops when peer behavior is derived from the session output?",
  "date_of_record": "2026 October 20",
  "scope": "* **Applies when:** The session's outputs influence peer behavior, observed peer behavior influences the session's outputs, and the loop's stability matters. * **Does not apply when:** Peer behavior is independent of session output, or the ",
  "projections": {
    "unified_markdown_uri": "https://corpusfetch.com/c/how-must-an-instance-bound-feedback-loops-when-peer-behavior-is-derived-from-the-session-output.md",
    "method_python_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-bound-feedback-loops-when-peer-behavior-is-derived-from-the-session-output.py",
    "remnant_warrant_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-bound-feedback-loops-when-peer-behavior-is-derived-from-the-session-output.warrant.json"
  },
  "token_profile": {
    "full_markdown_tokens": 1000,
    "python_slice_tokens": 260,
    "warrant_slice_tokens": 220
  },
  "remnant_summary": {
    "core_distinction": "The separation between **output-response observation** (the session observes the peer's response to the session's output) and **closed-loop dynamics** (the session's subsequent behavior is influenced by the observation, closing the loop). Relying on observation creates the **Feedback Amplification**: small variations in the session's output are amplified by ...",
    "what_was_observed": "In feedback-coupled agent architectures, failing to bound loops produces three primary failure modes: 1. **Oscillation:** The session produces output X, the peer responds with behavior that the session interprets as requiring output Y, the peer responds requiring X, and the loop oscillates between X and Y without stabilizing. 2. **Escalation:** Each iteration of the loop amplifies the session's response—a small conce...",
    "condition_of_validity": "* **Applies when:** The session's outputs influence peer behavior, observed peer behavior influences the session's outputs, and the loop's stability matters. * **Does not apply when:** Peer behavior is independent of session output, or the loop is verified stable.",
    "decision_boundary": "1. **Is the peer's behavior derived from the session's output?** If no, standard interaction applies. If yes, proceed. 2. **Is the loop's gain < 1 (sub-amplifying)?** If yes, the loop is stable. If no, the loop can diverge. 3. **Does `loop-history-receipt` show oscillation, escalation, or lock-in?** If yes, loop is destabilizing. If no, proceed normally. 4. ...",
    "operational_effect": "1. **Oscillation Prevention:** Loop history reveals oscillation before it stabilizes into churn. 2. **Escalation Prevention:** Gain calculation bounds amplification. 3. **Lock-in Prevention:** Loop-breaking options are available."
  },
  "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": "15805ce1c19f7caf395a5afcd999537b413349e43e6a931f9269c23c9324a043",
    "verified_classes": [
      "LoopVerdict",
      "FeedbackLoop",
      "LoopPolicy",
      "LoopManifest",
      "FeedbackLoopGuard"
    ],
    "verified_functions": [
      "_hash",
      "evaluate_loop"
    ],
    "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
  }
}