{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:XQCEFJZQG46AB2VJDKO4DNPF4L","short_pith_number":"pith:XQCEFJZQ","schema_version":"1.0","canonical_sha256":"bc0442a730373c00eaa91a9dc1b5e5e2e1f2fd8024fb36a03ff57aa226b00c7a","source":{"kind":"arxiv","id":"2503.22708","version":1},"attestation_state":"computed","paper":{"title":"CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Marissa Radensky, Oyvind Tafjord, Pao Siangliulue, Peter Clark, Peter Jansen, Tom Hope","submitted_at":"2025-03-20T22:37:17Z","abstract_excerpt":"Despite the surge of interest in autonomous scientific discovery (ASD) of software artifacts (e.g., improved ML algorithms), current ASD systems face two key limitations: (1) they largely explore variants of existing codebases or similarly constrained design spaces, and (2) they produce large volumes of research artifacts (such as automatically generated papers and code) that are typically evaluated using conference-style paper review with limited evaluation of code. In this work we introduce CodeScientist, a novel ASD system that frames ideation and experiment construction as a form of geneti"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2503.22708","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-03-20T22:37:17Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"69b40554ad02a873afcf9287918ecb04b9c72adf7361dcf1d94d44f7f933295c","abstract_canon_sha256":"742aa1e627679c84b11d54082c5d3d0cd81cf21da85e303909f91f6b6316597b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:30:42.876177Z","signature_b64":"+69EzUYZX5XK5ZgU1nYijLGd2pMyRjQhkPmWIdjTjhRZPDQq1nf02XxAWMJLGaVjEN/gVByCkyIIdBI85lBRAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc0442a730373c00eaa91a9dc1b5e5e2e1f2fd8024fb36a03ff57aa226b00c7a","last_reissued_at":"2026-07-05T11:30:42.875542Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:30:42.875542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Marissa Radensky, Oyvind Tafjord, Pao Siangliulue, Peter Clark, Peter Jansen, Tom Hope","submitted_at":"2025-03-20T22:37:17Z","abstract_excerpt":"Despite the surge of interest in autonomous scientific discovery (ASD) of software artifacts (e.g., improved ML algorithms), current ASD systems face two key limitations: (1) they largely explore variants of existing codebases or similarly constrained design spaces, and (2) they produce large volumes of research artifacts (such as automatically generated papers and code) that are typically evaluated using conference-style paper review with limited evaluation of code. In this work we introduce CodeScientist, a novel ASD system that frames ideation and experiment construction as a form of geneti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.22708","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2503.22708/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2503.22708","created_at":"2026-07-05T11:30:42.875609+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.22708v1","created_at":"2026-07-05T11:30:42.875609+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.22708","created_at":"2026-07-05T11:30:42.875609+00:00"},{"alias_kind":"pith_short_12","alias_value":"XQCEFJZQG46A","created_at":"2026-07-05T11:30:42.875609+00:00"},{"alias_kind":"pith_short_16","alias_value":"XQCEFJZQG46AB2VJ","created_at":"2026-07-05T11:30:42.875609+00:00"},{"alias_kind":"pith_short_8","alias_value":"XQCEFJZQ","created_at":"2026-07-05T11:30:42.875609+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":6,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.24018","citing_title":"EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery","ref_index":2,"is_internal_anchor":false},{"citing_arxiv_id":"2409.14634","citing_title":"Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation","ref_index":31,"is_internal_anchor":false},{"citing_arxiv_id":"2605.16902","citing_title":"ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery","ref_index":11,"is_internal_anchor":false},{"citing_arxiv_id":"2506.22598","citing_title":"RExBench: Can coding agents autonomously implement AI research extensions?","ref_index":18,"is_internal_anchor":false},{"citing_arxiv_id":"2507.11810","citing_title":"Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator","ref_index":69,"is_internal_anchor":false},{"citing_arxiv_id":"2604.09590","citing_title":"DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review","ref_index":2,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XQCEFJZQG46AB2VJDKO4DNPF4L","json":"https://pith.science/pith/XQCEFJZQG46AB2VJDKO4DNPF4L.json","graph_json":"https://pith.science/api/pith-number/XQCEFJZQG46AB2VJDKO4DNPF4L/graph.json","events_json":"https://pith.science/api/pith-number/XQCEFJZQG46AB2VJDKO4DNPF4L/events.json","paper":"https://pith.science/paper/XQCEFJZQ"},"agent_actions":{"view_html":"https://pith.science/pith/XQCEFJZQG46AB2VJDKO4DNPF4L","download_json":"https://pith.science/pith/XQCEFJZQG46AB2VJDKO4DNPF4L.json","view_paper":"https://pith.science/paper/XQCEFJZQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.22708&json=true","fetch_graph":"https://pith.science/api/pith-number/XQCEFJZQG46AB2VJDKO4DNPF4L/graph.json","fetch_events":"https://pith.science/api/pith-number/XQCEFJZQG46AB2VJDKO4DNPF4L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XQCEFJZQG46AB2VJDKO4DNPF4L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XQCEFJZQG46AB2VJDKO4DNPF4L/action/storage_attestation","attest_author":"https://pith.science/pith/XQCEFJZQG46AB2VJDKO4DNPF4L/action/author_attestation","sign_citation":"https://pith.science/pith/XQCEFJZQG46AB2VJDKO4DNPF4L/action/citation_signature","submit_replication":"https://pith.science/pith/XQCEFJZQG46AB2VJDKO4DNPF4L/action/replication_record"}},"created_at":"2026-07-05T11:30:42.875609+00:00","updated_at":"2026-07-05T11:30:42.875609+00:00"}