Buildability / Receipt

Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling

This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.

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Watch and verify: Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling

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Subject: Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling

Verdict

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Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Time to first demo

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Compute envelope

Structured compute envelope

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No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

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Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling

Watch and verify: Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling

Compute envelope

Evidence ids

External gate remains unresolved for live deployment claims.

Freshness

Hash state

Signature state

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