The 18,447 wiki pages contain thousands of factual claims. Most are
unverified by structured debate. Build a pipeline that (a) extracts
top-level claims from a wiki page using a lightweight LLM call, (b) registers
each claim as an artifact_type='claim' artifact (or reuses
artifact_type='hypothesis' with a claim subkind), and (c) auto-triggers
a 2-persona evidence_assessment debate on each claim against the citing
wiki page. Result: every wiki page acquires a tail of debated claims linked
back to it.
python3 -m scidex.atlas.wiki_claim_extractor --pages-batch 25--dry-run, registers claim artifacts (orhypothesis with metadata.kind='claim'); links each claim to itsartifact_links link_type='derived_from'.
debate_type='evidence_assessment',[evidence_auditor, counterexample_finder], num_rounds=2).
quality_score; ifdoes_not_support, also writes an artifact_links contradicts rowscidex/atlas/wiki_claim_extractor.py with the LLM extractionclaim value to ARTIFACT_TYPES inscidex/atlas/artifact_registry.py (with metadata schema:claim_text, source_page_slug, polarity).
queue_debate and the existing verdict parser.agr-ad-01-TARG — debate targeting.q-dsc-comments-on-wiki-pages — talk-page surfaces dispute UX.