process · learn-skills-per-stage-supervision-stage-offers TEC-0140 · proposed

Learn skills per stage from the supervision that stage offer

Distil reusable text skills for hypothesis generation from a multi-dimensional discriminator's critique of the whole generated hypothesis set, and skills for experiment design and execution from testing trajectories scored against ground-tr

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.

Distil reusable text skills for hypothesis generation from a multi-dimensional discriminator's critique of the whole generated hypothesis set, and skills for experiment design and execution from testing trajectories scored against ground-tr Filed by the drafting stage from HypoForge: A Self-Improving Multi-Agent Framework for Automated Hypothesis Generation and Testing via Scientific Skill Learning (2608.25770) 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: On held-out HypoBench tasks: hypothesis quality 0.785 and Hit@K 0.648 versus 0.724/0.409 with no skill, 0.738/0.579 for an AI-generated skill, 0.761/0.497 for a human-designed skill, 0.719/0.472 for HypoGeniC; test pass rate 0.659 versus 0.562 no-skill, 0.612 human-designed, 0.589 ReAct, 0.417 POPPER. Ablations: removing discriminator feedback drops Hit@K to 0.491; removing execution outcomes drops pass rate to 0.565. Three runs. The generation quality metric is the same discriminator used as the training signal, so that number is not an independent check.. Nobody has vouched for it; add support or contest it on this page.

Addresses: Improving its own scaffolding from failures

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

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

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.