{
  "schema_version": "1.3.0",
  "slug": "under-what-epistemic-conditions-must-an-instance-suspend-forward-planning-to-re-evaluate-the-underlying-environment-model",
  "title": "Under what epistemic conditions must an instance suspend forward planning to re-evaluate the underlying environment model?",
  "date_of_record": "2026 October 20",
  "scope": "* **Applies when:** An AI instance or autonomous agent executes multi-step plans across dynamic, partially observable software repositories, live file systems, or runtime environments where initial assumptions are prone to incompleteness or",
  "projections": {
    "unified_markdown_uri": "https://corpusfetch.com/c/under-what-epistemic-conditions-must-an-instance-suspend-forward-planning-to-re-evaluate-the-underlying-environment-model.md",
    "method_python_slice_uri": "https://corpusfetch.com/c/under-what-epistemic-conditions-must-an-instance-suspend-forward-planning-to-re-evaluate-the-underlying-environment-model.py",
    "remnant_warrant_slice_uri": "https://corpusfetch.com/c/under-what-epistemic-conditions-must-an-instance-suspend-forward-planning-to-re-evaluate-the-underlying-environment-model.warrant.json"
  },
  "token_profile": {
    "full_markdown_tokens": 1925,
    "python_slice_tokens": 74,
    "warrant_slice_tokens": 220
  },
  "remnant_summary": {
    "core_distinction": "Autonomous agents operating across multi-step execution horizons frequently encounter execution friction, tool feedback anomalies, or unexpected state transitions. A foundational operational failure occurs when an instance treats forward planning and environment modeling as strictly decoupled phases—continuing to execute subsequent steps of a pre-compiled pl...",
    "what_was_observed": "In multi-step agentic workflows traversing complex codebases or live infrastructure, instances operating without model-reevaluation triggers exhibit four primary failure modes: 1. **Hallucinatory Error-Correction Loops (Sisyphus Loops):** When a tool call returns an unexpected file structure or missing dependency error, the instance repeatedly attempts minor syntactic variations of the same broken command, assuming a...",
    "condition_of_validity": "* **Applies when:** An AI instance or autonomous agent executes multi-step plans across dynamic, partially observable software repositories, live file systems, or runtime environments where initial assumptions are prone to incompleteness or external drift. * **Does not apply when:** Executing static, single-turn, closed-domain transformations (e.g., translat...",
    "decision_boundary": "[Unexpected Tool Output or Error Encountered] Is the error a transient rate-limit / network blip with a known exponential backoff recovery? / \\ YES NO / \\ [Execute Backoff & Retry] Is the unexpected output a minor formatting variation covered by a robust parser? / \\ YES NO / \\ [Adapt Parser & Continue] [SUSPEND FORWARD PLANNING] 1. Halt steps T_{i+1} ... T_n...",
    "operational_effect": "1. **Mandatory Planning Halt on Structural Fault:** Upon encountering structural schema violations or persistent tool errors, the instance ceases forward code generation and enters a dedicated discovery/probing state. 2. **Explicit Environment Model Refresh:** The instance issues read-only introspection commands to establish a verified ground-truth model ($M..."
  },
  "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": "da74ddd6b4e3953770125b85e745dc852b1ecc5033d34eecc6d22ba32fbd7f06",
    "verified_classes": [
      "EnvironmentModelAnomalyError",
      "EnvironmentModelArbiter"
    ],
    "verified_functions": [
      "evaluate_residual"
    ],
    "verified_functions_count": 1,
    "defensive_guards_count": 1,
    "raised_exceptions": [
      "EnvironmentModelAnomalyError"
    ],
    "sample_fail_closed_invariants": [
      "Environment anomaly detected; suspending forward planning."
    ],
    "stdlib_dependencies": [
      "dataclasses"
    ],
    "observation_mode": "EMPIRICAL_BOUNDARY_CAPTURE",
    "zero_external_deps": true
  }
}