diff --git a/docs/PRIOR_ART.md b/docs/PRIOR_ART.md index afadc50..17cf790 100644 --- a/docs/PRIOR_ART.md +++ b/docs/PRIOR_ART.md @@ -26,4 +26,26 @@ we own end to end. (See `docs/DECISIONS.md` D18 for the reuse policy.) fully-local research with adaptive engine selection and SearXNG; their private-documents RAG is on our roadmap. +## What the wider ecosystem confirms + +- **The "floor, not verified-true" framing is externally validated.** ["Cited but Not + Verified"](https://arxiv.org/abs/2605.06635) (arXiv:2605.06635, May 2026) benchmarked frontier + deep-research agents and found only 39–77% factual/citation accuracy — and accuracy *drops* as + tool-call count scales up. `council/fidelity.py` (D27) already refuses to overclaim: it's an + explicit lexical **grounding floor** (content-token overlap plus fabricated-number detection), and + a GROUNDED verdict is documented as "not obviously fabricated," never "verified true." This paper + is independent confirmation that the framing is the honest stance, not an undersell — if + well-resourced frontier systems can't clear the bar of "verified," a tool that states plainly it + measures a floor is more trustworthy than one that implies otherwise. +- **No comparable non-token peer network exists.** Among local/decentralized-compute-sharing + projects we surveyed — [GaiaNet](https://github.com/GaiaNet-AI) (added staking/validator + incentives in 2026), [Petals](https://github.com/bigscience-workshop/petals) (BitTorrent-style LLM + sharding with no incentive layer at all, flagged in research literature as vulnerable to + free-riding without one), and SwarmHarness ([arXiv:2605.28764](https://arxiv.org/abs/2605.28764), a + 2026 academic proposal for token/incentive-aligned agent networks) — none implement a + non-transferable, no-token, earned-only credit model. D1 in `docs/DECISIONS.md` commits us to + exactly that: internal, non-transferable credit, no tradeable token, ever. Worth stating explicitly + rather than leaving implicit: as far as this survey found, that combination is a real positioning + differentiator, not just a self-imposed constraint. + Thank you to these authors and communities.