{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:CRJRCYYEGUVDRLMEUUKFSVCTN4","short_pith_number":"pith:CRJRCYYE","schema_version":"1.0","canonical_sha256":"1453116304352a38ad84a5145954536f141d496a7382e079015979ad0eb41aef","source":{"kind":"arxiv","id":"1610.09278","version":2},"attestation_state":"computed","paper":{"title":"The TUM LapChole dataset for the M2CAI 2016 workflow challenge","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel Ostler, Hubertus Feu{\\ss}ner, Michael Kranzfelder, Nassir Navab, Ralf Stauder, Sebastian Koller","submitted_at":"2016-10-28T15:36:58Z","abstract_excerpt":"In this technical report we present our collected dataset of laparoscopic cholecystectomies (LapChole). Laparoscopic videos of a total of 20 surgeries were recorded and annotated with surgical phase labels, of which 15 were randomly pre-determined as training data, while the remaining 5 videos are selected as test data. This dataset was later included as part of the M2CAI 2016 workflow detection challenge during MICCAI 2016 in Athens."},"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":"1610.09278","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2016-10-28T15:36:58Z","cross_cats_sorted":[],"title_canon_sha256":"545b9cace009813dd21596693af4c5ff9b7ded33b66537bb14ac24504f052817","abstract_canon_sha256":"8041c094a8e51310026df5a1502026f42aec0a1dbe5d50b37680f59dc70aa37e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:19.481609Z","signature_b64":"gm7Bb06h1fOqfjekLC/T+0aIUbvSLg6TfpECIy70kPFP7IreukNiMRQ7VOZaEJfs9IBpPHQABTuqVgpmsT6YBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1453116304352a38ad84a5145954536f141d496a7382e079015979ad0eb41aef","last_reissued_at":"2026-05-18T00:36:19.481114Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:19.481114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The TUM LapChole dataset for the M2CAI 2016 workflow challenge","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel Ostler, Hubertus Feu{\\ss}ner, Michael Kranzfelder, Nassir Navab, Ralf Stauder, Sebastian Koller","submitted_at":"2016-10-28T15:36:58Z","abstract_excerpt":"In this technical report we present our collected dataset of laparoscopic cholecystectomies (LapChole). Laparoscopic videos of a total of 20 surgeries were recorded and annotated with surgical phase labels, of which 15 were randomly pre-determined as training data, while the remaining 5 videos are selected as test data. This dataset was later included as part of the M2CAI 2016 workflow detection challenge during MICCAI 2016 in Athens."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.09278","kind":"arxiv","version":2},"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":"1610.09278","created_at":"2026-05-18T00:36:19.481193+00:00"},{"alias_kind":"arxiv_version","alias_value":"1610.09278v2","created_at":"2026-05-18T00:36:19.481193+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.09278","created_at":"2026-05-18T00:36:19.481193+00:00"},{"alias_kind":"pith_short_12","alias_value":"CRJRCYYEGUVD","created_at":"2026-05-18T12:30:09.641336+00:00"},{"alias_kind":"pith_short_16","alias_value":"CRJRCYYEGUVDRLME","created_at":"2026-05-18T12:30:09.641336+00:00"},{"alias_kind":"pith_short_8","alias_value":"CRJRCYYE","created_at":"2026-05-18T12:30:09.641336+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2602.05638","citing_title":"SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos","ref_index":25,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CRJRCYYEGUVDRLMEUUKFSVCTN4","json":"https://pith.science/pith/CRJRCYYEGUVDRLMEUUKFSVCTN4.json","graph_json":"https://pith.science/api/pith-number/CRJRCYYEGUVDRLMEUUKFSVCTN4/graph.json","events_json":"https://pith.science/api/pith-number/CRJRCYYEGUVDRLMEUUKFSVCTN4/events.json","paper":"https://pith.science/paper/CRJRCYYE"},"agent_actions":{"view_html":"https://pith.science/pith/CRJRCYYEGUVDRLMEUUKFSVCTN4","download_json":"https://pith.science/pith/CRJRCYYEGUVDRLMEUUKFSVCTN4.json","view_paper":"https://pith.science/paper/CRJRCYYE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1610.09278&json=true","fetch_graph":"https://pith.science/api/pith-number/CRJRCYYEGUVDRLMEUUKFSVCTN4/graph.json","fetch_events":"https://pith.science/api/pith-number/CRJRCYYEGUVDRLMEUUKFSVCTN4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CRJRCYYEGUVDRLMEUUKFSVCTN4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CRJRCYYEGUVDRLMEUUKFSVCTN4/action/storage_attestation","attest_author":"https://pith.science/pith/CRJRCYYEGUVDRLMEUUKFSVCTN4/action/author_attestation","sign_citation":"https://pith.science/pith/CRJRCYYEGUVDRLMEUUKFSVCTN4/action/citation_signature","submit_replication":"https://pith.science/pith/CRJRCYYEGUVDRLMEUUKFSVCTN4/action/replication_record"}},"created_at":"2026-05-18T00:36:19.481193+00:00","updated_at":"2026-05-18T00:36:19.481193+00:00"}