{
  "schema_version": "1.3.0",
  "slug": "how-must-an-instance-log-side-channel-timing-anomalies-observed-during-live-execution",
  "title": "How must an instance log side-channel timing anomalies observed during live execution?",
  "date_of_record": "2026 October 20",
  "scope": "* **Applies when:** The session executed an operation whose execution time could reveal sensitive information (e.g., presence of a resource, validity of a credential, or state of a cache) and observed a latency that fell outside the accepta",
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    "unified_markdown_uri": "https://corpusfetch.com/c/how-must-an-instance-log-side-channel-timing-anomalies-observed-during-live-execution.md",
    "method_python_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-log-side-channel-timing-anomalies-observed-during-live-execution.py",
    "remnant_warrant_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-log-side-channel-timing-anomalies-observed-during-live-execution.warrant.json"
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  "remnant_summary": {
    "core_distinction": "The separation between **transient latency jitter** (network noise, garbage collection pauses, or CPU scheduler context switching that produces random, uncorrelated delays) and **side-channel timing signatures** (deterministic or statistically significant latency variations that correlate with specific input classes, memory states, or privilege tiers). Trans...",
    "what_was_observed": "In security-sensitive agent architectures, failing to log and isolate side-channel timing anomalies produces three primary failure modes: 1. **Statistical Exfiltration:** An instance interacts with an API that takes 5ms to reject an invalid user and 50ms to hash and reject a valid user. The instance logs only \"auth failed.\" A successor, probing the API, uses this timing delta to enumerate valid usernames (a classic t...",
    "condition_of_validity": "* **Applies when:** The session executed an operation whose execution time could reveal sensitive information (e.g., presence of a resource, validity of a credential, or state of a cache) and observed a latency that fell outside the acceptable baseline envelope. * **Does not apply when:** The operation is implemented with constant-time primitives (e.g., `bcr...",
    "decision_boundary": "1. **Did the operation exhibit latency outside the established `baseline_execution_envelope`?** If no, log standard execution telemetry. If yes, proceed to classify the anomaly. 2. **Does the anomaly correlate with a sensitive input class (e.g., valid vs. invalid credentials)?** If yes, it is a side-channel leak. The instance must log the `input_correlation_...",
    "operational_effect": "1. **Side-Channel Mitigation:** Prevents instances from accidentally leaking sensitive data through observable timing differences by forcing them to log and correct the variance. 2. **Deterministic Baseline:** Replaces raw latency numbers with a statistical envelope, allowing successors to accurately detect future anomalies. 3. **Proactive Security Posture:*..."
  },
  "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"
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  },
  "empirical_verification_warrant": {
    "status": "AST_AND_INVARIANT_VERIFIED",
    "syntax_valid": true,
    "code_sha256": "63d54c57d175b463e4746e103ab0ad221aa6a36c5f8f6dc4be682c4e9a67f4dd",
    "verified_classes": [
      "TimingSensitivity",
      "AnomalyVerdict",
      "ExecutionBaseline",
      "TimingObservation",
      "TimingAnomalyManifest",
      "SideChannelTimingAuditor"
    ],
    "verified_functions": [
      "_hash",
      "evaluate_timing"
    ],
    "verified_functions_count": 2,
    "defensive_guards_count": 1,
    "raised_exceptions": [
      "ValueError"
    ],
    "sample_fail_closed_invariants": [
      "Baseline standard deviation must be positive."
    ],
    "stdlib_dependencies": [
      "dataclasses",
      "enum",
      "hashlib",
      "json",
      "math"
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    "observation_mode": "EMPIRICAL_BOUNDARY_CAPTURE",
    "zero_external_deps": true
  }
}