stage-aligned-perturbation-cascade-aware-failure-attribution TEC-0209 · proposedStage-aligned perturbation with cascade-aware failure attrib
Perturb each stage of the tool-call pipeline separately (interface, intent, returned evidence, runtime feedback) and backtrack each observed failure deterministically to the earliest stage that caused it.
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.
Perturb each stage of the tool-call pipeline separately (interface, intent, returned evidence, runtime feedback) and backtrack each observed failure deterministically to the earliest stage that caused it. Filed by the drafting stage from ToolRobustBench: Stage-Wise Perturbation Evaluation and Failure Diagnosis for Tool-Calling Agents (2608.23635) 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: Counterfactual repair at the attributed stage resolved 71/98 failures (100% single-error, 82.1% cascade, 0% multi-fault); human audit of 30 ambiguous cases agreed 74.2%; labels predicted that an S1 alias fix raised gpt-5.4-mini from 21/30 to 30/30 while an S3 CoT fix left it unchanged at 21/30.. Nobody has vouched for it; add support or contest it on this page.
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
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