Positioning: PubMed stores scientific papers. ScientificClaims.org stores the evolving answers to scientific questions. The Scientific Claim Registry (SCR) is infrastructure for the memory of science — not its truth, consensus, or recommendations. It registers, it does not arbitrate. Modern science assigns persistent identifiers to nearly every artifact it produces — papers (DOI), researchers (ORCID), trials (registration numbers) — yet the evolving answer to a scientific question has no persistent, versioned home. SCR provides one. Object model. The scientific question (e.g. SQ-LIP-000007) is the primary navigable object — neutral and stable. Underneath it, claims (SCR-LIP-000001) are structured, versioned units of evidence linked with an explicit role (supporting / contradicting / refines / context), each with PECO context, a GRADE certainty rating, dated provenance, and a complete change log. A claim is a graph node: one article can inform claims under several questions. What v0.3 adds over the v0.2 proposal: a working, live system (https://scientificclaims.org). (1) A closed Layer-1 surveillance loop: semantic retrieval over a curated domain corpus plus Europe PMC and reading lists → LLM classification (relevance, stance, study design, quality) → conservative merge (distinct findings become new claims; restatements corroborate) → AI-compiled, evidence-bounded answers that are re-compiled and versioned when evidence changes, with immutable citable snapshots. (2) Knowledge Freshness / Evidence Decay per question. (3) Quality weighting (strong evidence overshadows weak), reference verification, an article ban system with automated retraction detection (Crossref), full temporal provenance (created / updated / change log), and a literature-grounded question-creation strategy (coverage analysis + LLM discovery + temp→final lifecycle). (4) Machine-first: every question and claim exposes JSON for LLMs/agents; bilingual (EN + PT). Lipedema pilot (proof of concept, disease-agnostic by design): 25 versioned scientific questions and 240 evidence claims, populated from a curated lipedema corpus and the live literature. Prior-art honesty: SCR does not invent the claim primitive or persistent claim identity — nanopublications/Trusty URIs, micropublications, Wikidata, CIViC, ClinGen, Epistemonikos/PICO, SciFact, GRADE and MAGICapp already exist. SCR's contribution is adoption, domain organization, versioned accumulation, freshness, and a machine-first registry built on top of that prior art — question-centric and registering-not-arbitrating. Operated by the BIO (Biological Intelligence Observatory) research method. This version establishes the priority date of the implemented framework and the lipedema pilot dataset.
Alexandre Campos Moraes Amato (2026) studied this question.