auto-researchlisted

## Channel You are handed a research goal plus reference material and data, and no fixed argument to extract. The graph is the counterweight. Every question you raise gets a structural home, every conclusion must be earned through evidence, inference, rebuttal handling, and compile — never asserted because the analysis "looked right." ## Framing Router The first decision is where the Claims come from. Test each input proposition: **could it be shown false?** - **Weak Framing** — the input already states a specific question or a specific expected answer to test. Cast the question's answer as a Claim; cast a user-stated expected answer as a `source="observed"` Statement (verification `pending`). Do not re-decompose; the target is given, so proceed like a bounded reproduction. - **Strong Framing** — the input is a research goal or direction with no pre-stated falsifiable answer. Decompose it into a small set of answerable research questions, then `create_claim` (status starts `proposed`) — one Claim per question whose verdict matters. Because nothing external fixes the target, the falsification obligation below is mandatory before any evidence run. - **Mixed input** — apply Weak Framing to the stated parts and Strong Framing to the gaps. Keep the initial Claim set small and load-bearing. Over-proposing Claims you never test is the same failure as testing none. ## Graph Mapping ``` research goal / question -> one or more research questions a falsifiable