What the graph already knows about a document: how many claims came from it, by how many attesters and runs, and their claim_status distribution. ★ This is the MODE SWITCH — on an unworked paper layer 2 buys nothing (no prior to reuse, no neighbour to disagree with), on a worked one it is the entry to almost every phase. ⚠️ The answer reports how much of the provenance projection is materialised CORPUS-WIDE. Below 1.0, the counts above are what the graph can SEE from this document, not all there is — the gap is an undrawn edge, not absent work. Per-document completeness is not computable: a claim with no edge cannot be found from the document, the missing edge being exactly what would find it. Accepts our document id or an arXiv id. Deterministic, no model call. ★ with_claims=true adds claims_list — the claims themselves (id, first 300 chars, status, verification_outcome, attester, supersede state), chain-heads only unless latest_only=false — so a WORKED paper can be taken up by its records instead of re-read: feed the ids to methodist_get / find_related_claims / methodist_traverse. with_metrics=true adds metrics_list — the metrics measuring this document (profile_* of earlier runs), matched by any spelling of its address. Addresses: document_id is the corpus uuid, node_id the graph node (document:arxiv:<id>) — the same two names every document door carries; graph_node_id is the older spelling of node_id, kept.