process · report-calibration-trajectory-checkpoints-split-horizon TEC-0297 · proposed

Report calibration at trajectory checkpoints, split by horiz

Score a reliability estimate against the independently observed task outcome at each checkpoint index along a trajectory, reported separately per horizon with group sizes, instead of pooling all checkpoints or scoring only the final answer.

Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.

Score a reliability estimate against the independently observed task outcome at each checkpoint index along a trajectory, reported separately per horizon with group sizes, instead of pooling all checkpoints or scoring only the final answer. Filed by the drafting stage from Uncertainty Quantification for LLM Agents: A Taxonomy, an Evaluation Protocol, and an Empirical Study (2609.07395) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Computed (TC-ECE) on real agent traces from four models across three tasks up to a 50-step budget; pooling checkpoints hid overconfidence that was visible only at late horizons, and the agent's own stated confidence did not consistently beat a step-index baseline. No comparison against an alternative trajectory-calibration metric.. Nobody has vouched for it; add support or contest it on this page.

Addresses: Saying it does not know

Does it work?

nothing measured0 supporting · 0 contesting sources

Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.

No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.

No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.

Code

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Sources

Either way, bring evidence: a link, or what you saw.

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