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arXiv cs.AI· Gaston Besanson·· 9 天前AI 评分22

概率感知与确定性权威:将模型产出的观察记录纳入充分性校验的治理合约

Probabilistic Sensing, Deterministic Authority: Admitting Model-Produced Observations into Sufficiency-Checked Governance Contracts

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该研究提出一种机制:模型仅以带分数的"观察记录"形式被纳入治理合约,准入策略按声明的假阳性上限在留出集上拟合阈值,将分数映射为真、假或未知,未知即拒绝,再由确定性且经充分性校验的合约裁决。

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Abstract:When a field that an authority contract needs exists only in unstructured evidence, a model can sense it. We admit the model's output only as an observation record with a score. An admission policy, with thresholds fitted on a held-out split at a declared false-positive ceiling, maps each score to true, false or unknown. Unknown denies. A deterministic, sufficiency-checked contract decides. The probability that sensing changes the verdict is bounded by the sum, over the contract's sensed fields, of the admitted-wrong and unknown rates. This is an instantiation of union-bound reasoning, indexed by the contract. Minimising the estimated bound is a valid cost model for choosing among sufficient contracts. In a registered study on two constructed domains with two sensor families (36,000 model calls), no cell refuted the bound. Deny-to-allow changes from sensing appeared for the first time in this programme: 13 of 21,000 test verdicts, all from 3 contradictory records; each flip in a cell with a registered bound lay under it. Sensing-aware selection picked the lower-exposure contract in 4 of 4 registered tests. Both sensors' scores were informative but not calibrated. Correctness is relative to the declared loss model, candidate representation and reachable states; all domains are constructed.
Comments: 23 pages. Sixth paper of the SARC series. Preregistered; external reviews and an independent reproduction are committed in the repository. Code, caches and checkers: this https URL (tag v1.0.1), archived at DOI https://doi.org/10.5281/zenodo.23224016
Subjects: Software Engineering (cs.SE); Artificial Intelligence (cs.AI)
Cite as: arXiv:2610.10978 [cs.SE]
  (or arXiv:2610.10978v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.2610.10978

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Carlos Gaston Besanson [view email]
[v1] Wed, 7 Oct 2026 23:02:20 UTC (55 KB)

来源:arXiv cs.AI · arxiv.org