anonymous retrieval is a poisoning surface.
Every other AI memory feeds your model unsigned text from nowhere. Folklore signs every record by a verified human, so a model can refuse what it can't trace.
5 → 97%
5 poisoned documents can hijack a retrieval system with a 97% attack success rate. The model has no way to tell trustworthy context from an injected lie.
PoisonedRAG, arXiv · Zou et al.
59% → 2%
Signed by a verified GitHub identity, with an auditable chain: who curated it, what they grounded on, when. Provenance ranking keeps only signed gold and drops unsigned poison — cutting flip-ASR from 58.9% to 2.4% (24.8×) on the displaced-poison matrix. Trust becomes a property the model can read.
measured · Haiku agent, Opus judge · BEIR SciFact
each claim, on disk.
CPU-only retrieval, full stack (hybrid + cross-encoder + graph PPR), on full BEIR SciFact. Baselines are published BEIR SciFact NDCG@10 (BM25, ColBERT, SPLADE, E5) — Folklore leads the production-grade pack; a 3B GPU reranker (InRanker) tops it at 0.783. Poison-defense is real displaced-poison retrieval (Haiku agent, Opus judge). Compounding & token figures are simulator-grade — the hundred-peer pilot is next.