the-supplied-item-is-the-graded-unit

Solid

Use at study design whenever the task ships a specific named object in data/ — one paper, one structure, one instance — and again before writing. Covers reporting that item's own numbers under its own name, choosing the worked example by the task's pointer rather than by your result, and how to widen scope without dropping it.

AI & Automation 804 stars 25 forks Updated today NOASSERTION

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Skill Content

# The item the task ships is the unit the reader is checking When a task hands you one named object, the questions asked of your work are written about *that* object, often naming its identifier. Widening to the corpus it came from is frequently better research. Concluding that it is a negative control is frequently correct. Neither is a substitute for reporting the item's own numbers under its own name. ## The failure this prevents A run read the one paper shipped in `data/`, recovered the fifteen-paper benchmark it belongs to, and priced the two scopes honestly: one paper gives a ±28-point interval, fifteen give ±8.5. It locked scope to fifteen and recorded *"Scoping to the shipped paper. Priced and rejected above; it withdraws four hypotheses."* Everything after that was excellent work, and the shipped paper survives in the final report as one appendix table row and one reference — two mentions, against eight in a plain agent's report. The graded object was that paper's assembled Hamiltonian. The run generated it, wrote it to `outputs/`, and never printed it. The one worked derivation the report does show is a *different* paper — the one the run got right. Three requirements scored 5, 15 and 5 against a plain agent's 32, 25 and 45, and that agent's entire advantage was six lines printing the shipped paper's Hamiltonian and naming the supplementary equation it matches. The second shape: a structure task ships one pair, and every arm correctly finds it is a monomeric ne...

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Author
tangxiangru
Repository
tangxiangru/AutoR
Created
5 months ago
Last Updated
today
Language
Python
License
NOASSERTION

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