{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:XUKCXG27UFEIUJVVQ7YLSIH5EV","short_pith_number":"pith:XUKCXG27","schema_version":"1.0","canonical_sha256":"bd142b9b5fa1488a26b587f0b920fd257ecf9856db4fc988643df7eed58308e4","source":{"kind":"arxiv","id":"2202.13739","version":1},"attestation_state":"computed","paper":{"title":"Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.SE","authors_text":"Alfredo Gabaldon, Andrew Crapo, James Jobin, Narendra Joshi, Nurali Virani, Sharad Dixit, Varish Mulwad, Vijay S. Kumar","submitted_at":"2022-01-28T17:31:38Z","abstract_excerpt":"Scientific models hold the key to better understanding and predicting the behavior of complex systems. The most comprehensive manifestation of a scientific model, including crucial assumptions and parameters that underpin its usability, is usually embedded in associated source code and documentation, which may employ a variety of (potentially outdated) programming practices and languages. Domain experts cannot gain a complete understanding of the implementation of a scientific model if they are not familiar with the code. Furthermore, rapid research and development iterations make it challengi"},"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":"2202.13739","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-01-28T17:31:38Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"769f6a13ff6faff19e38ed98caeabd067ad6b470d65eb3dbe05e3f7f66cad410","abstract_canon_sha256":"04182d900dc80f399fb2a0dea637c2b7b102ec0b873dd884dbe0d10a24373382"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:00:33.528576Z","signature_b64":"38AwdYmAxbDzMv6JPwtf4olO9btsdwAQx7eqC1x9TiGk0p9dZ9wxPOEObgUu5BT7LkEfCVCYIdk14Pm5GUMdAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd142b9b5fa1488a26b587f0b920fd257ecf9856db4fc988643df7eed58308e4","last_reissued_at":"2026-07-05T04:00:33.528161Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:00:33.528161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.SE","authors_text":"Alfredo Gabaldon, Andrew Crapo, James Jobin, Narendra Joshi, Nurali Virani, Sharad Dixit, Varish Mulwad, Vijay S. Kumar","submitted_at":"2022-01-28T17:31:38Z","abstract_excerpt":"Scientific models hold the key to better understanding and predicting the behavior of complex systems. The most comprehensive manifestation of a scientific model, including crucial assumptions and parameters that underpin its usability, is usually embedded in associated source code and documentation, which may employ a variety of (potentially outdated) programming practices and languages. Domain experts cannot gain a complete understanding of the implementation of a scientific model if they are not familiar with the code. Furthermore, rapid research and development iterations make it challengi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.13739","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/2202.13739/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":"2202.13739","created_at":"2026-07-05T04:00:33.528221+00:00"},{"alias_kind":"arxiv_version","alias_value":"2202.13739v1","created_at":"2026-07-05T04:00:33.528221+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.13739","created_at":"2026-07-05T04:00:33.528221+00:00"},{"alias_kind":"pith_short_12","alias_value":"XUKCXG27UFEI","created_at":"2026-07-05T04:00:33.528221+00:00"},{"alias_kind":"pith_short_16","alias_value":"XUKCXG27UFEIUJVV","created_at":"2026-07-05T04:00:33.528221+00:00"},{"alias_kind":"pith_short_8","alias_value":"XUKCXG27","created_at":"2026-07-05T04:00:33.528221+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XUKCXG27UFEIUJVVQ7YLSIH5EV","json":"https://pith.science/pith/XUKCXG27UFEIUJVVQ7YLSIH5EV.json","graph_json":"https://pith.science/api/pith-number/XUKCXG27UFEIUJVVQ7YLSIH5EV/graph.json","events_json":"https://pith.science/api/pith-number/XUKCXG27UFEIUJVVQ7YLSIH5EV/events.json","paper":"https://pith.science/paper/XUKCXG27"},"agent_actions":{"view_html":"https://pith.science/pith/XUKCXG27UFEIUJVVQ7YLSIH5EV","download_json":"https://pith.science/pith/XUKCXG27UFEIUJVVQ7YLSIH5EV.json","view_paper":"https://pith.science/paper/XUKCXG27","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2202.13739&json=true","fetch_graph":"https://pith.science/api/pith-number/XUKCXG27UFEIUJVVQ7YLSIH5EV/graph.json","fetch_events":"https://pith.science/api/pith-number/XUKCXG27UFEIUJVVQ7YLSIH5EV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XUKCXG27UFEIUJVVQ7YLSIH5EV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XUKCXG27UFEIUJVVQ7YLSIH5EV/action/storage_attestation","attest_author":"https://pith.science/pith/XUKCXG27UFEIUJVVQ7YLSIH5EV/action/author_attestation","sign_citation":"https://pith.science/pith/XUKCXG27UFEIUJVVQ7YLSIH5EV/action/citation_signature","submit_replication":"https://pith.science/pith/XUKCXG27UFEIUJVVQ7YLSIH5EV/action/replication_record"}},"created_at":"2026-07-05T04:00:33.528221+00:00","updated_at":"2026-07-05T04:00:33.528221+00:00"}