{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:EP6HRBBJVIQDAQ4YHFJT35RRXS","short_pith_number":"pith:EP6HRBBJ","schema_version":"1.0","canonical_sha256":"23fc788429aa2030439839533df631bc856c4f6ce2c2b1099dd09d37e30c0f25","source":{"kind":"arxiv","id":"1602.01323","version":1},"attestation_state":"computed","paper":{"title":"Biclustering Readings and Manuscripts via Non-negative Matrix Factorization, with Application to the Text of Jude","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Joey McCollum, Stephen Brown","submitted_at":"2016-02-03T14:54:05Z","abstract_excerpt":"The text-critical practice of grouping witnesses into families or texttypes often faces two obstacles: Contamination in the manuscript tradition, and co-dependence in identifying characteristic readings and manuscripts. We introduce non-negative matrix factorization (NMF) as a simple, unsupervised, and efficient way to cluster large numbers of manuscripts and readings simultaneously while summarizing contamination using an easy-to-interpret mixture model. We apply this method to an extensive collation of the New Testament epistle of Jude and show that the resulting clusters correspond to human"},"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":"1602.01323","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-02-03T14:54:05Z","cross_cats_sorted":[],"title_canon_sha256":"ddf35dfa81abdefbd11bb9257c7361f53d2b010410efd09dedb4a9e1c5172910","abstract_canon_sha256":"67fbc954951e1ebf226bb50435eb2f9080f95603039e734db83728385f5dd87d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:21:20.488646Z","signature_b64":"8tnCHC3HWxxAuZDyq1XV13ivrUjXHbrbo3WsNKHVP/5IhHrj6p3aAp1GS8kh2E+eZenrRLUSqV/ZQnKTxf65BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23fc788429aa2030439839533df631bc856c4f6ce2c2b1099dd09d37e30c0f25","last_reissued_at":"2026-05-18T01:21:20.488133Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:21:20.488133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Biclustering Readings and Manuscripts via Non-negative Matrix Factorization, with Application to the Text of Jude","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Joey McCollum, Stephen Brown","submitted_at":"2016-02-03T14:54:05Z","abstract_excerpt":"The text-critical practice of grouping witnesses into families or texttypes often faces two obstacles: Contamination in the manuscript tradition, and co-dependence in identifying characteristic readings and manuscripts. We introduce non-negative matrix factorization (NMF) as a simple, unsupervised, and efficient way to cluster large numbers of manuscripts and readings simultaneously while summarizing contamination using an easy-to-interpret mixture model. We apply this method to an extensive collation of the New Testament epistle of Jude and show that the resulting clusters correspond to human"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01323","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":""},"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":"1602.01323","created_at":"2026-05-18T01:21:20.488221+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.01323v1","created_at":"2026-05-18T01:21:20.488221+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01323","created_at":"2026-05-18T01:21:20.488221+00:00"},{"alias_kind":"pith_short_12","alias_value":"EP6HRBBJVIQD","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_16","alias_value":"EP6HRBBJVIQDAQ4Y","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_8","alias_value":"EP6HRBBJ","created_at":"2026-05-18T12:30:12.583610+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/EP6HRBBJVIQDAQ4YHFJT35RRXS","json":"https://pith.science/pith/EP6HRBBJVIQDAQ4YHFJT35RRXS.json","graph_json":"https://pith.science/api/pith-number/EP6HRBBJVIQDAQ4YHFJT35RRXS/graph.json","events_json":"https://pith.science/api/pith-number/EP6HRBBJVIQDAQ4YHFJT35RRXS/events.json","paper":"https://pith.science/paper/EP6HRBBJ"},"agent_actions":{"view_html":"https://pith.science/pith/EP6HRBBJVIQDAQ4YHFJT35RRXS","download_json":"https://pith.science/pith/EP6HRBBJVIQDAQ4YHFJT35RRXS.json","view_paper":"https://pith.science/paper/EP6HRBBJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.01323&json=true","fetch_graph":"https://pith.science/api/pith-number/EP6HRBBJVIQDAQ4YHFJT35RRXS/graph.json","fetch_events":"https://pith.science/api/pith-number/EP6HRBBJVIQDAQ4YHFJT35RRXS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EP6HRBBJVIQDAQ4YHFJT35RRXS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EP6HRBBJVIQDAQ4YHFJT35RRXS/action/storage_attestation","attest_author":"https://pith.science/pith/EP6HRBBJVIQDAQ4YHFJT35RRXS/action/author_attestation","sign_citation":"https://pith.science/pith/EP6HRBBJVIQDAQ4YHFJT35RRXS/action/citation_signature","submit_replication":"https://pith.science/pith/EP6HRBBJVIQDAQ4YHFJT35RRXS/action/replication_record"}},"created_at":"2026-05-18T01:21:20.488221+00:00","updated_at":"2026-05-18T01:21:20.488221+00:00"}