{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:QDBSO6ICPFDJFUS4SKA2GLLPVZ","short_pith_number":"pith:QDBSO6IC","canonical_record":{"source":{"id":"2212.04448","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-08T18:14:52Z","cross_cats_sorted":[],"title_canon_sha256":"84eb8a1d9e1df36efc2dd8c08c090c0d70974221e52ea455f64342b91db03c12","abstract_canon_sha256":"4d4a192a010699fb574d471c9b734a0c5ca33fc6cc8840a0195f9fe29e27ee74"},"schema_version":"1.0"},"canonical_sha256":"80c3277902794692d25c9281a32d6fae708c22db713aba5ed1e60ce9786f8c98","source":{"kind":"arxiv","id":"2212.04448","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.04448","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"arxiv_version","alias_value":"2212.04448v1","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.04448","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"pith_short_12","alias_value":"QDBSO6ICPFDJ","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"pith_short_16","alias_value":"QDBSO6ICPFDJFUS4","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"pith_short_8","alias_value":"QDBSO6IC","created_at":"2026-07-05T05:23:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:QDBSO6ICPFDJFUS4SKA2GLLPVZ","target":"record","payload":{"canonical_record":{"source":{"id":"2212.04448","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-08T18:14:52Z","cross_cats_sorted":[],"title_canon_sha256":"84eb8a1d9e1df36efc2dd8c08c090c0d70974221e52ea455f64342b91db03c12","abstract_canon_sha256":"4d4a192a010699fb574d471c9b734a0c5ca33fc6cc8840a0195f9fe29e27ee74"},"schema_version":"1.0"},"canonical_sha256":"80c3277902794692d25c9281a32d6fae708c22db713aba5ed1e60ce9786f8c98","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:23:41.390903Z","signature_b64":"hYa5gbVIgRTMO4wu7WJvzWrdBpFdbbiZxPI54bhiBjW0c2xEPLRO7gMpwk+UfmqXKXozmecaeNFRMCzxAoTSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80c3277902794692d25c9281a32d6fae708c22db713aba5ed1e60ce9786f8c98","last_reissued_at":"2026-07-05T05:23:41.390424Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:23:41.390424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.04448","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:23:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vg4DkPomm1n1+QzDwEdFdCrY0p7fGIMfeBgn+ehdX6Rj5iHtJVQCskP8sI5qnZBfmbDRjEnVFFlMgK+1tlP4Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T00:08:26.043699Z"},"content_sha256":"e5bef1fec8656a481a1150558eda4bd86e82297008cf3b63faa7dc91b1d46bbb","schema_version":"1.0","event_id":"sha256:e5bef1fec8656a481a1150558eda4bd86e82297008cf3b63faa7dc91b1d46bbb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:QDBSO6ICPFDJFUS4SKA2GLLPVZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aneeq Zia, Anthony Jarc, Danail Stoyanov, Dimitris Psychogyios, Emanuele Colleoni, Evangelos Mazomenos, Jinfan Zhou, Kiran Bhattacharyya, Lena Maier-Hein, Max Berniker, Satoshi Kondo, Stefanie Speidel, Xi Liu, Yueming Jin, Ziheng Wang","submitted_at":"2022-12-08T18:14:52Z","abstract_excerpt":"Timely and effective feedback within surgical training plays a critical role in developing the skills required to perform safe and efficient surgery. Feedback from expert surgeons, while especially valuable in this regard, is challenging to acquire due to their typically busy schedules, and may be subject to biases. Formal assessment procedures like OSATS and GEARS attempt to provide objective measures of skill, but remain time-consuming. With advances in machine learning there is an opportunity for fast and objective automated feedback on technical skills. The SimSurgSkill 2021 challenge (hos"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.04448","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/2212.04448/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":"2026-07-05T05:23:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EqclkM6/BKRtRVoEQgH1m1gGoWN0vRARq1cThgA8CGcFaBW9oB056ZxSAWgHZ26Mj5BT4k4AdYlSk5C3jxfKAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T00:08:26.044088Z"},"content_sha256":"634a361ba18cd9c6b3e3ad9eea1df23a8b0855d36840ca2046c22a60d0efe388","schema_version":"1.0","event_id":"sha256:634a361ba18cd9c6b3e3ad9eea1df23a8b0855d36840ca2046c22a60d0efe388"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QDBSO6ICPFDJFUS4SKA2GLLPVZ/bundle.json","state_url":"https://pith.science/pith/QDBSO6ICPFDJFUS4SKA2GLLPVZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QDBSO6ICPFDJFUS4SKA2GLLPVZ/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":"2026-07-16T00:08:26Z","links":{"resolver":"https://pith.science/pith/QDBSO6ICPFDJFUS4SKA2GLLPVZ","bundle":"https://pith.science/pith/QDBSO6ICPFDJFUS4SKA2GLLPVZ/bundle.json","state":"https://pith.science/pith/QDBSO6ICPFDJFUS4SKA2GLLPVZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QDBSO6ICPFDJFUS4SKA2GLLPVZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QDBSO6ICPFDJFUS4SKA2GLLPVZ","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":"4d4a192a010699fb574d471c9b734a0c5ca33fc6cc8840a0195f9fe29e27ee74","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-08T18:14:52Z","title_canon_sha256":"84eb8a1d9e1df36efc2dd8c08c090c0d70974221e52ea455f64342b91db03c12"},"schema_version":"1.0","source":{"id":"2212.04448","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.04448","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"arxiv_version","alias_value":"2212.04448v1","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.04448","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"pith_short_12","alias_value":"QDBSO6ICPFDJ","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"pith_short_16","alias_value":"QDBSO6ICPFDJFUS4","created_at":"2026-07-05T05:23:41Z"},{"alias_kind":"pith_short_8","alias_value":"QDBSO6IC","created_at":"2026-07-05T05:23:41Z"}],"graph_snapshots":[{"event_id":"sha256:634a361ba18cd9c6b3e3ad9eea1df23a8b0855d36840ca2046c22a60d0efe388","target":"graph","created_at":"2026-07-05T05:23:41Z","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/2212.04448/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Timely and effective feedback within surgical training plays a critical role in developing the skills required to perform safe and efficient surgery. Feedback from expert surgeons, while especially valuable in this regard, is challenging to acquire due to their typically busy schedules, and may be subject to biases. Formal assessment procedures like OSATS and GEARS attempt to provide objective measures of skill, but remain time-consuming. With advances in machine learning there is an opportunity for fast and objective automated feedback on technical skills. The SimSurgSkill 2021 challenge (hos","authors_text":"Aneeq Zia, Anthony Jarc, Danail Stoyanov, Dimitris Psychogyios, Emanuele Colleoni, Evangelos Mazomenos, Jinfan Zhou, Kiran Bhattacharyya, Lena Maier-Hein, Max Berniker, Satoshi Kondo, Stefanie Speidel, Xi Liu, Yueming Jin, Ziheng Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-08T18:14:52Z","title":"Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.04448","kind":"arxiv","version":1},"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:e5bef1fec8656a481a1150558eda4bd86e82297008cf3b63faa7dc91b1d46bbb","target":"record","created_at":"2026-07-05T05:23:41Z","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":"4d4a192a010699fb574d471c9b734a0c5ca33fc6cc8840a0195f9fe29e27ee74","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-08T18:14:52Z","title_canon_sha256":"84eb8a1d9e1df36efc2dd8c08c090c0d70974221e52ea455f64342b91db03c12"},"schema_version":"1.0","source":{"id":"2212.04448","kind":"arxiv","version":1}},"canonical_sha256":"80c3277902794692d25c9281a32d6fae708c22db713aba5ed1e60ce9786f8c98","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80c3277902794692d25c9281a32d6fae708c22db713aba5ed1e60ce9786f8c98","first_computed_at":"2026-07-05T05:23:41.390424Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:23:41.390424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hYa5gbVIgRTMO4wu7WJvzWrdBpFdbbiZxPI54bhiBjW0c2xEPLRO7gMpwk+UfmqXKXozmecaeNFRMCzxAoTSBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:23:41.390903Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.04448","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e5bef1fec8656a481a1150558eda4bd86e82297008cf3b63faa7dc91b1d46bbb","sha256:634a361ba18cd9c6b3e3ad9eea1df23a8b0855d36840ca2046c22a60d0efe388"],"state_sha256":"f516405a01df5cf43c4f91637d13f2e08d9499c477a7acc54837fcc0dbacb363"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XcnAgKy+Uqzw8I4yYO2GiSWrjur7DrzX8yoK+kOOVDTwcsRGY58rdZshDe5Cz5tfG77JcqhGO38oTyhnX33cDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T00:08:26.046674Z","bundle_sha256":"100589cf220d3b7d6b08086446311246217f5f6f30c172ba992741d0977e1f4a"}}