Files
blackroad-os-docs/docs/papers/draft/truth-engine-spec.md
Alexa Amundson 8f94430012 chore(consolidation): migrate from blackroad-os-ideas and blackroad-os-research
## Summary
- Migrates roadmaps and RFCs from `blackroad-os-ideas`
- Migrates research papers from `blackroad-os-research`
- Part of Phase 1 BlackRoad OS consolidation

## Files Added
- `docs/roadmap/` - 2025 roadmaps
- `docs/rfc/` - RFC templates
- `docs/ideas/` - Idea proposals
- `docs/papers/` - Research papers (PS-SHA, SIG, finance automation)
- `docs/research/` - Research prompts

## Test plan
- [ ] Verify docs build
- [ ] After merge, archive source repos

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Alexa Louise <YOUR_REAL_EMAIL@EXAMPLE.COM>
Co-authored-by: Claude <noreply@anthropic.com>
2025-11-30 12:32:38 -06:00

3.1 KiB

Interference Truth Engine Specification

Version: 0.1 — 2025-02-08

The Interference Truth Engine evaluates competing statements, tracks minority perspectives, and collapses observations into anchored truth-steps. It operates on top of SIG geometry and PS-SHA∞ identity, ensuring every decision is both spatially situated and cryptographically accountable.

Text Snapshots

  • Snapshot inputs: Structured claims with SIG (r, θ, τ) coordinates, PS-SHA∞ anchor, and originating agent role.
  • Normalization: Claims are normalized into canonical phrasing and units to make interference comparisons deterministic.
  • Temporal layering: Snapshots retain timestamped layers so later claims can interfere constructively or destructively with earlier ones.

Agent Assessments

  • Assessment packets: Agents submit confidence scores, rationale citations, and risk classifications tied to their PS-SHA∞ anchors.
  • Context windows: Assessments reference local SIG neighborhoods, enabling proximity-aware reasoning about relevance and overlap.
  • Bias accounting: Mesh metadata (trust weights, historical accuracy) influences how heavily an assessment impacts aggregate confidence.

Minority Reports

  • Preservation: Minority or dissenting views remain journaled even when not adopted, creating an audit trail of alternative hypotheses.
  • Escalation: Minority reports above a risk threshold trigger Lucidia routing to guardians or human operators.
  • Attribution: Each minority report carries both PS-SHA∞ identity and factor-tree path to maintain accountable lineage.

Truth Collapse

  • Collapse trigger: When aggregate confidence passes a deterministic threshold or when latency budgets expire.
  • Collapse output: Selected claim, residual uncertainty, references to supporting/contradicting snapshots, and SIG coordinates for rendering.
  • Reversibility: Subsequent evidence can reopen a collapsed truth, spawning a new branch while retaining prior state as a minority record.

Confidence Aggregation

  • Interference summation: Confidence updates follow constructive/destructive interference based on angular separation in SIG space.
  • Weighting: Trust weights, recency, and evidence quality modulate the amplitude before summation.
  • Normalization: Outputs are normalized to [0,1] with explicit uncertainty bands for operator dashboards.

PS-SHA∞ Anchoring

  • Journal binding: Every snapshot, assessment, and collapse event is hashed with its predecessors for tamper-evidence.
  • Cross-layer attestations: Block headers in RoadChain reference collapse events, enabling external verification.
  • Agent lineage: Delegated agents include parent anchors to preserve the chain of custody for each decision.

Outputs and Interfaces

  • To Lucidia: Supplies routing signals (entropy, minority density) for ribbon scheduling.
  • To RoadChain: Emits ledger-ready events for each collapse and for elevated minority reports.
  • To Operator/Core: Provides dashboards, alerts, and audit extracts aligned to regulators and enterprise controls.