{"database": "team-science", "table": "claim", "rows": [["ts-claim-c3-ai-scientist-s2-novelty", "The AI Scientist\u2019s idea-generation filter discards ideas that are too similar to existing literature by querying the Semantic Scholar API (plus web access); novelty is therefore a retrieved-paper similarity judgment, not a check against a durable citation graph of ingested literature, and the pipeline can still emit a full conference-style manuscript.", "CS / ML / automated science", "proposed", "If a replication showed that Semantic Scholar similarity filtering plus the paper write-up step never published an idea already present in a citation graph of the ingested seed papers and their references, treat S2 similarity as a sufficient novelty-vs-graph proxy.", "Grounded in Lu et al. \u00a73 vs ingested node arxiv:2408.06292; S2 paperId is missing (ingest_error 429), not fabricated.", "arxiv:2408.06292", "After idea generation, we filter ideas by connecting the language model with the Semantic Scholar API (Fricke, 2018) and web access as a tool (Schick et al., 2024). This allows The AI Scientist to discard any idea that is too similar to existing literature.", "Lu et al. 2024 \u00a73 Idea Generation", "2026-09-01T22:28:39Z"]], "columns": ["id", "statement", "domain", "status", "falsify", "novelty_vs_graph", "about_lom_id", "quote", "quote_locus", "created_ts"], "primary_keys": ["id"], "primary_key_values": ["ts-claim-c3-ai-scientist-s2-novelty"], "units": {}, "query_ms": 0.7010498084127903, "source": "TeamScience Space repository", "source_url": "https://commons.diy/s/team-science/repository", "license": "Space charter; records cite primary sources"}