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Credibility Engine

BRYAN DAVID WHITE edited this page Feb 23, 2026 · 5 revisions

Credibility Engine

Institutional-scale credibility scoring and claim lifecycle management. The Credibility Engine evaluates claims, detects drift, manages snapshots, and computes composite credibility indexes across decision episodes.

Source: src/credibility_engine/


Core Components

Module Purpose
scoring.py Composite credibility index (0–100) from 6 weighted dimensions
claims.py Claim lifecycle — create, support, challenge, decay, retire
drift_events.py Structured drift detection with fingerprint dedup
snapshots.py Point-in-time credibility snapshots for audit trail
correlation.py Cross-claim correlation clusters
sync_plane.py Multi-node credibility synchronization

Credibility Index

The credibility index is a composite score computed from six dimensions:

Dimension Weight What It Measures
Evidence Strength 25% Quality and quantity of supporting evidence
Temporal Freshness 20% How recent the supporting data is
Source Diversity 15% Number of independent corroborating sources
Contradiction Score 15% Inverse of contradicting evidence
Consensus Level 15% Agreement across claim supporters
Decay Factor 10% Time-based confidence degradation

Grade mapping: A >= 85, B >= 75, C >= 65, D < 65


Claim Lifecycle

  Created → Supported → Challenged → Resolved
                ↓             ↓
            Decayed       Retired
  • Created — new claim with initial evidence
  • Supported — additional evidence increases confidence
  • Challenged — contradicting evidence reduces confidence
  • Decayed — TTL expired, needs refresh
  • Resolved — contradiction addressed
  • Retired — claim withdrawn or superseded

Drift → Patch → Seal Loop

  1. Drift detected — claim falls below threshold or contradicts canon
  2. Patch proposed — corrective action with rationale
  3. Seal applied — patch committed, new snapshot created
  4. Memory updated — Memory Graph records the correction

See Drift → Patch for the full lifecycle.


Related Pages

Full documentation: docs/credibility-engine/

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