{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:UEZHFVJM374NOMGD4A25E5L5QS","short_pith_number":"pith:UEZHFVJM","canonical_record":{"source":{"id":"2008.10134","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-08-23T23:30:15Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b65fc26ea39850795af40b4b08cb1c68dcab810ca00093748d260cca70572777","abstract_canon_sha256":"f8ee013ca38f5415b0b039ab5408ca0ffb64082c5a4898aca4050d77f878020d"},"schema_version":"1.0"},"canonical_sha256":"a13272d52cdff8d730c3e035d2757d84b69d784cd5a456d622c8c39c39dc62e3","source":{"kind":"arxiv","id":"2008.10134","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10134","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10134v2","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10134","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"pith_short_12","alias_value":"UEZHFVJM374N","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"pith_short_16","alias_value":"UEZHFVJM374NOMGD","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"pith_short_8","alias_value":"UEZHFVJM","created_at":"2026-07-05T01:59:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:UEZHFVJM374NOMGD4A25E5L5QS","target":"record","payload":{"canonical_record":{"source":{"id":"2008.10134","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-08-23T23:30:15Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b65fc26ea39850795af40b4b08cb1c68dcab810ca00093748d260cca70572777","abstract_canon_sha256":"f8ee013ca38f5415b0b039ab5408ca0ffb64082c5a4898aca4050d77f878020d"},"schema_version":"1.0"},"canonical_sha256":"a13272d52cdff8d730c3e035d2757d84b69d784cd5a456d622c8c39c39dc62e3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:59:13.815348Z","signature_b64":"U6Ov8urh/BM008FlEo9og57wHdTkfGWGEyeyqsAoFbSQf10MotPE/yXx39cFIqAA0MtdmcuU9Rk3/eDmso0WCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a13272d52cdff8d730c3e035d2757d84b69d784cd5a456d622c8c39c39dc62e3","last_reissued_at":"2026-07-05T01:59:13.814930Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:59:13.814930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.10134","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:59:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L3o2jO2AUkf1JLmtcbkCJmP8Oo4lesGuOA4JcBYYgIlq9vd2InxYuMlRK0xQikcrzqL/NpKQLjAjymGmLxIkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:18:15.895691Z"},"content_sha256":"a5ed39a8e96c4d9a2343c281e4e532f71aa5d9352a6e294a01c86300aa5bd52d","schema_version":"1.0","event_id":"sha256:a5ed39a8e96c4d9a2343c281e4e532f71aa5d9352a6e294a01c86300aa5bd52d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:UEZHFVJM374NOMGD4A25E5L5QS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Aqsa Riaz, Hasan Sajid, Osman Hasan, Salman Maqbool","submitted_at":"2020-08-23T23:30:15Z","abstract_excerpt":"Autonomous surgical procedures, in particular minimal invasive surgeries, are the next frontier for Artificial Intelligence research. However, the existing challenges include precise identification of the human anatomy and the surgical settings, and modeling the environment for training of an autonomous agent. To address the identification of human anatomy and the surgical settings, we propose a deep learning based semantic segmentation algorithm to identify and label the tissues and organs in the endoscopic video feed of the human torso region. We present an annotated dataset, m2caiSeg, creat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10134","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2008.10134/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:59:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ymjhGgj0JSz8BKznT6RuvAF2nFU53JaSIzmm5FWMFJAMy7UwqXpLSf4IhLhMKozb7kcpa9av/g/Fv3yC5TvDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:18:15.896902Z"},"content_sha256":"33af8859efd37cf4561b3bb7f3f5fe5a9917e324c5be403f273b1ecac5ffd5bb","schema_version":"1.0","event_id":"sha256:33af8859efd37cf4561b3bb7f3f5fe5a9917e324c5be403f273b1ecac5ffd5bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UEZHFVJM374NOMGD4A25E5L5QS/bundle.json","state_url":"https://pith.science/pith/UEZHFVJM374NOMGD4A25E5L5QS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UEZHFVJM374NOMGD4A25E5L5QS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T06:18:15Z","links":{"resolver":"https://pith.science/pith/UEZHFVJM374NOMGD4A25E5L5QS","bundle":"https://pith.science/pith/UEZHFVJM374NOMGD4A25E5L5QS/bundle.json","state":"https://pith.science/pith/UEZHFVJM374NOMGD4A25E5L5QS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UEZHFVJM374NOMGD4A25E5L5QS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:UEZHFVJM374NOMGD4A25E5L5QS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f8ee013ca38f5415b0b039ab5408ca0ffb64082c5a4898aca4050d77f878020d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-08-23T23:30:15Z","title_canon_sha256":"b65fc26ea39850795af40b4b08cb1c68dcab810ca00093748d260cca70572777"},"schema_version":"1.0","source":{"id":"2008.10134","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10134","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10134v2","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10134","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"pith_short_12","alias_value":"UEZHFVJM374N","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"pith_short_16","alias_value":"UEZHFVJM374NOMGD","created_at":"2026-07-05T01:59:13Z"},{"alias_kind":"pith_short_8","alias_value":"UEZHFVJM","created_at":"2026-07-05T01:59:13Z"}],"graph_snapshots":[{"event_id":"sha256:33af8859efd37cf4561b3bb7f3f5fe5a9917e324c5be403f273b1ecac5ffd5bb","target":"graph","created_at":"2026-07-05T01:59:13Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2008.10134/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous surgical procedures, in particular minimal invasive surgeries, are the next frontier for Artificial Intelligence research. However, the existing challenges include precise identification of the human anatomy and the surgical settings, and modeling the environment for training of an autonomous agent. To address the identification of human anatomy and the surgical settings, we propose a deep learning based semantic segmentation algorithm to identify and label the tissues and organs in the endoscopic video feed of the human torso region. We present an annotated dataset, m2caiSeg, creat","authors_text":"Aqsa Riaz, Hasan Sajid, Osman Hasan, Salman Maqbool","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-08-23T23:30:15Z","title":"m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10134","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a5ed39a8e96c4d9a2343c281e4e532f71aa5d9352a6e294a01c86300aa5bd52d","target":"record","created_at":"2026-07-05T01:59:13Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f8ee013ca38f5415b0b039ab5408ca0ffb64082c5a4898aca4050d77f878020d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-08-23T23:30:15Z","title_canon_sha256":"b65fc26ea39850795af40b4b08cb1c68dcab810ca00093748d260cca70572777"},"schema_version":"1.0","source":{"id":"2008.10134","kind":"arxiv","version":2}},"canonical_sha256":"a13272d52cdff8d730c3e035d2757d84b69d784cd5a456d622c8c39c39dc62e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a13272d52cdff8d730c3e035d2757d84b69d784cd5a456d622c8c39c39dc62e3","first_computed_at":"2026-07-05T01:59:13.814930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:59:13.814930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U6Ov8urh/BM008FlEo9og57wHdTkfGWGEyeyqsAoFbSQf10MotPE/yXx39cFIqAA0MtdmcuU9Rk3/eDmso0WCg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:59:13.815348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.10134","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a5ed39a8e96c4d9a2343c281e4e532f71aa5d9352a6e294a01c86300aa5bd52d","sha256:33af8859efd37cf4561b3bb7f3f5fe5a9917e324c5be403f273b1ecac5ffd5bb"],"state_sha256":"6b830bf8aaa8f77455a9a74246073c093587c73261d873599819483205e0b6db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7lhYqrnhEBBDOli2l1rdvjtubn8gpaj2fAdOGBZNl0stx+X6NS/WoLnJ3fFUdH5Ech9IjvW26U3ONh9CKDUQCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T06:18:15.926695Z","bundle_sha256":"a5e05d679ed66ced83b92015836188d87218e9e3c6a13f4450d0d55a9aba32c3"}}