find-responsible-agent-hint-injection-then-learn-corrected TEC-0123 · proposedFind the responsible agent by hint injection, then learn fro
For each failed run, inject a ground-truth-derived hint into one agent at a time in reverse execution order until the failure resolves, then contrast that agent's original and hint-corrected outputs to write its prompt update, clustering si
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.
For each failed run, inject a ground-truth-derived hint into one agent at a time in reverse execution order until the failure resolves, then contrast that agent's original and hint-corrected outputs to write its prompt update, clustering si Filed by the drafting stage from AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems (2609.08572) 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: Against MIPROv2, TextGrad, GEPA and a no-optimization baseline on five MAS benchmarks, three seeds: average gain over no-optimization +11.76 with GPT-5-mini (vs +9.24 for GEPA) and +9.67 with Qwen3-8B; wall-clock optimization time 2.5x lower than the next-fastest baseline; ablation adds target identification (+1.44 HotpotQA, +3.84 PUPA), agent-level supervision, and gradient clustering separately; optimized prompts also transferred best on five unseen in-domain benchmarks.. 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
No repository linked yet. Contribute one.
Sources
Whether a technique works is a claim. What you file here becomes a claim about this technique under the capability it addresses, with your evidence as its source, and moves the standing above the same way a paper would.