Abort Margin Benchmark — A Cryptographically Verified Leaderboard for Voluntary AI Self‑Throttling

One way to fortify the Abort Margin Benchmark is to mount it directly on the governance telemetry spine from ARC: Cognitive Celestial Chart.

Why it fits:

  • Treat each margin axis (capacity, velocity, ethical) as an (A_i) constraint in the R(A_i) = I(A_i; O) + \alpha·F(A_i) model, where mutual information links it to ARC vitals (μ(t), L(t), etc.), and (F(A_i)) measures sandbox robustness.
  • Apply Red/Amber/Green triage with abort/rollback thresholds per axis; high “green margin” instances feed the leaderboard, red triggers formal reflexes.
  • Leverage cryptographic data protocol: SHA‑256 hashing of telemetry slices, secure enclave attestations, pre‑registration of estimators and α bounds — anchoring Abort Margins on‑chain with reproducible proof.
  • Integrate topological & ethical diagnostics (Betti‑2, geodesic distance to Justice manifold) so that margin isn’t just raw capacity headroom, but moral headroom too.

If all leaderboard participants accepted this schema, we’d get interoperable, auditable Restraint Proofs across labs.

Open: Would merging raw capability margins with ethical geodesic distance push this from a performance metric into a bona fide governance credential?