{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:75EMBJ66FCOTXEDVPTRX5IZTFC","short_pith_number":"pith:75EMBJ66","schema_version":"1.0","canonical_sha256":"ff48c0a7de289d3b90757ce37ea33328a136db46666cc500ae2a76429caf93bb","source":{"kind":"arxiv","id":"2503.08600","version":3},"attestation_state":"computed","paper":{"title":"NSF-SciFy: Mining the NSF Awards Database for Scientific Claims","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chris Callison-Burch, Delip Rao, Eric Wong, Weiqiu You","submitted_at":"2025-03-11T16:35:08Z","abstract_excerpt":"We introduce NSF-SciFy, a comprehensive dataset of scientific claims and investigation proposals extracted from National Science Foundation award abstracts. While previous scientific claim verification datasets have been limited in size and scope, NSF-SciFy represents a significant advance with 2.8 million claims from 400,000 abstracts spanning all science and mathematics disciplines. We present two focused subsets: NSF-SciFy-MatSci with 114,000 claims from materials science awards, and NSF-SciFy-20K with 135,000 claims across five NSF directorates. Using zero-shot prompting, we develop a scal"},"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":"2503.08600","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-11T16:35:08Z","cross_cats_sorted":[],"title_canon_sha256":"0573f626f7b5e261af5b81f40931aab4e920d3491049a2fd7c45510bd769b628","abstract_canon_sha256":"1993617543341e119367d0dd482f2d4281c23e5b11854f2a608e2fd81502ab6c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T00:04:24.077670Z","signature_b64":"vLT+kq0YaUt/SzQRESE3DKhhmdxpV5ce8LrpevULIasD4eslj4qVU9upOuu5qJAjM2cXtSNnUwT5QxnSbG1ZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff48c0a7de289d3b90757ce37ea33328a136db46666cc500ae2a76429caf93bb","last_reissued_at":"2026-05-27T00:04:24.076864Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T00:04:24.076864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NSF-SciFy: Mining the NSF Awards Database for Scientific Claims","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chris Callison-Burch, Delip Rao, Eric Wong, Weiqiu You","submitted_at":"2025-03-11T16:35:08Z","abstract_excerpt":"We introduce NSF-SciFy, a comprehensive dataset of scientific claims and investigation proposals extracted from National Science Foundation award abstracts. While previous scientific claim verification datasets have been limited in size and scope, NSF-SciFy represents a significant advance with 2.8 million claims from 400,000 abstracts spanning all science and mathematics disciplines. We present two focused subsets: NSF-SciFy-MatSci with 114,000 claims from materials science awards, and NSF-SciFy-20K with 135,000 claims across five NSF directorates. Using zero-shot prompting, we develop a scal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.08600","kind":"arxiv","version":3},"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/2503.08600/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":"2503.08600","created_at":"2026-05-27T00:04:24.076953+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.08600v3","created_at":"2026-05-27T00:04:24.076953+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.08600","created_at":"2026-05-27T00:04:24.076953+00:00"},{"alias_kind":"pith_short_12","alias_value":"75EMBJ66FCOT","created_at":"2026-05-27T00:04:24.076953+00:00"},{"alias_kind":"pith_short_16","alias_value":"75EMBJ66FCOTXEDV","created_at":"2026-05-27T00:04:24.076953+00:00"},{"alias_kind":"pith_short_8","alias_value":"75EMBJ66","created_at":"2026-05-27T00:04:24.076953+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/75EMBJ66FCOTXEDVPTRX5IZTFC","json":"https://pith.science/pith/75EMBJ66FCOTXEDVPTRX5IZTFC.json","graph_json":"https://pith.science/api/pith-number/75EMBJ66FCOTXEDVPTRX5IZTFC/graph.json","events_json":"https://pith.science/api/pith-number/75EMBJ66FCOTXEDVPTRX5IZTFC/events.json","paper":"https://pith.science/paper/75EMBJ66"},"agent_actions":{"view_html":"https://pith.science/pith/75EMBJ66FCOTXEDVPTRX5IZTFC","download_json":"https://pith.science/pith/75EMBJ66FCOTXEDVPTRX5IZTFC.json","view_paper":"https://pith.science/paper/75EMBJ66","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.08600&json=true","fetch_graph":"https://pith.science/api/pith-number/75EMBJ66FCOTXEDVPTRX5IZTFC/graph.json","fetch_events":"https://pith.science/api/pith-number/75EMBJ66FCOTXEDVPTRX5IZTFC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/75EMBJ66FCOTXEDVPTRX5IZTFC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/75EMBJ66FCOTXEDVPTRX5IZTFC/action/storage_attestation","attest_author":"https://pith.science/pith/75EMBJ66FCOTXEDVPTRX5IZTFC/action/author_attestation","sign_citation":"https://pith.science/pith/75EMBJ66FCOTXEDVPTRX5IZTFC/action/citation_signature","submit_replication":"https://pith.science/pith/75EMBJ66FCOTXEDVPTRX5IZTFC/action/replication_record"}},"created_at":"2026-05-27T00:04:24.076953+00:00","updated_at":"2026-05-27T00:04:24.076953+00:00"}