- Rust workspace with stemedb-core crate - Full .claude/ configuration (agents, skills, commands, guides) - ai-lookup/ for token-efficient fact storage - Quality gates: clippy, fmt, jscpd duplication detection - Pre-commit hook with 5-phase quality checks - CLAUDE.md router and CODING_GUIDELINES.md standards Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
66 lines
1.7 KiB
Markdown
66 lines
1.7 KiB
Markdown
# TrustRank (Reputation)
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**Last Updated:** 2025-01-31
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**Confidence:** Medium (planned feature)
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## Summary
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TrustRank is a recursive PageRank-style algorithm for agent credibility. Agents who make accurate claims early gain reputation; agents who contradict settled truth lose reputation.
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**Key Facts:**
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- Stored in `A:{AgentId}` key in KV store
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- Background "Gardener" process calculates scores
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- Used by `Authority` lens to weight assertions
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- Reputation decays for low-confidence agents
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**File Pointer:** `crates/stemedb-gardener/src/trustrank.rs` (planned, Phase 4)
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## How It Works
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### Validation Loop (Gardener)
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```
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Every N hours:
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1. Find "Settled Facts" (>99% consensus over T time)
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2. For each settled fact:
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- Reward agents who claimed it early (+R)
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- Punish agents who claimed opposite (-R)
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3. Update A:{AgentId} scores
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4. Back-propagate: high-R agents boost sources they cite
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```
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### Usage in Authority Lens
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```rust
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impl Lens for AuthorityLens {
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fn resolve(&self, candidates: &[Assertion], ctx: &QueryContext) -> LensResult {
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// Weight by agent reputation
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let weighted: Vec<_> = candidates.iter()
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.map(|a| {
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let rep = ctx.get_reputation(&a.agent);
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(a, rep)
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})
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.collect();
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// Return highest weighted assertion
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weighted.into_iter()
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.max_by_key(|(_, rep)| *rep)
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.map(|(a, _)| a.clone())
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}
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}
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```
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## Reputation Score Range
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| Score | Meaning |
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|-------|---------|
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| 0-300 | Unreliable (spam, noise) |
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| 300-600 | Neutral (unproven) |
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| 600-900 | Reliable (track record) |
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| 900-1000 | Authoritative (expert) |
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## Related Topics
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- [Lens](../services/lens.md)
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- [Roadmap Phase 4](../../../roadmap.md)
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