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docs: results+proof links, capabilities-proof rebuttal, fix stale claims

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- README: replace retracted "100% presence" claim with honest 82.3%
  held-out temporal-triplet; correct stale "pose model not in this
  release" (now live at ruvnet/wifi-densepose-mmfi-pose, 82.69%
  torso-PCK@20 SOTA); add a Results & proof table (HF models,
  AetherArena, benchmark study, deterministic verify.py proof, witness).
- user-guide: same 100%->82.3% correction in two places; add Results &
  proof pointers and the SOTA pose model + AetherArena links.
- docs/proof-of-capabilities.md (new): evidence-first rebuttal to the
  "fake / misleading" claims. Concedes what was fair (over-stated early
  metrics, AI-doc tone), refutes the category errors (simulate-mode
  mistaken for fraud; missing weights mistaken for missing pipeline),
  and gives copy-paste "prove it yourself" steps (verify.py VERDICT:
  PASS + published SHA-256, cargo test, HF model pull, ESP32 CSI).
  Emphasizes built-in-public history (git, 96 ADRs, CHANGELOG, issues
  incl. #803/#872 bug->fix arcs) as the anti-facade evidence.
- aether-arena/VERIFY.md: cross-link the whole-platform proof doc.

Verified: python archive/v1/data/proof/verify.py -> VERDICT: PASS
(hash ca58956c...9199 matches published expected_features.sha256).

Co-Authored-By: claude-flow <ruv@ruv.net>
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2026-05-31 10:29:28 -04:00
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aether-arena/VERIFY.md
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AA's credibility rests on a stranger being able to reproduce a score and see that the rules are fair. This is the **launch gate** (ADR-149 §7): v0 does not ship until all five checks below pass for someone with no insider access.
> **Wider context:** this page covers the *leaderboard scorer*. For the whole-platform answer to
> "is this real / does it actually work?" — including the deterministic pipeline proof, the
> published models + public-benchmark numbers, and the built-in-public development trail — see
> [`docs/proof-of-capabilities.md`](../docs/proof-of-capabilities.md).
## The open scorer
The scoring engine is a pure-Rust, GPU-free binary: `aa_score_runner` in `wifi-densepose-train`. It runs the real `ruview_metrics` pose-acceptance harness on a fixed fixture and emits a cross-platform-stable SHA-256 **determinism proof**.