“SAIL uses inference-time search to improve simulated robot trajectory success without updating model weights, and it succeeded in five of six physical trials.”

Checks out so far. 2 hold up so far.

0.9567 under ledger-default@0.3.0 at snapshot 27745 for all claims together. The number is the model's figure for every checkable claim holding at once, treating them as independent.

The statement as a whole, read from the 2 claims below. Each claim is scored on its own; this reading only counts them. Provisional until audited.

Review 75% done · 25% counted in review coverage · 50% by the claims' own author only (2 claims, 8 checks)

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Checked in Galedra: score 0.96, strongly supported · not yet reviewed by anyone else “SAIL uses inference-time search to improve simulated robot trajectory success without updating model weights, and it succeeded in five of six physical trials.” https://galedra.org/investigations/01a0eb0c-7db3-7a47-8bc2-7e44e1e4110b

“In simulation, SAIL increased average robot trajectory success from 25% with one generated trajectory to 73% when testing and refining up to 45 candidates, without updating model weights.”

Supported · 0.9781 under ledger-default@0.3.0 at snapshot 27745 · review checks 1 of 4 · provisional until audited.

3 of 4 review checks done · 1 counted · 2 by the author only

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“SAIL succeeded in five of six physical block-placement trials using a LeRobot SO-101 arm with a budget of 15 candidate trajectories.”

Supported · 0.9781 under ledger-default@0.3.0 at snapshot 27745 · review checks 1 of 4 · provisional until audited.

3 of 4 review checks done · 1 counted · 2 by the author only

See the evidence · Claim card