{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MOG47MKUQZ35HDQEHMZCIEJDVW","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":"817692295295e25e410f4f134ef2dd359667e44dfbac57e7929a5dcad5776a50","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-11T10:53:05Z","title_canon_sha256":"26d770a256a9507435eb87b7686949c31e0c46cd351cde4cade69c648c73656b"},"schema_version":"1.0","source":{"id":"2312.06295","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.06295","created_at":"2026-07-05T07:22:42Z"},{"alias_kind":"arxiv_version","alias_value":"2312.06295v1","created_at":"2026-07-05T07:22:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.06295","created_at":"2026-07-05T07:22:42Z"},{"alias_kind":"pith_short_12","alias_value":"MOG47MKUQZ35","created_at":"2026-07-05T07:22:42Z"},{"alias_kind":"pith_short_16","alias_value":"MOG47MKUQZ35HDQE","created_at":"2026-07-05T07:22:42Z"},{"alias_kind":"pith_short_8","alias_value":"MOG47MKU","created_at":"2026-07-05T07:22:42Z"}],"graph_snapshots":[{"event_id":"sha256:98f3f9bd41f8d2759e163115e8f628b85923e5b704b587e350440099c87f5a82","target":"graph","created_at":"2026-07-05T07:22:42Z","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/2312.06295/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, the landscape of computer-assisted interventions and post-operative surgical video analysis has been dramatically reshaped by deep-learning techniques, resulting in significant advancements in surgeons' skills, operation room management, and overall surgical outcomes. However, the progression of deep-learning-powered surgical technologies is profoundly reliant on large-scale datasets and annotations. Particularly, surgical scene understanding and phase recognition stand as pivotal pillars within the realm of computer-assisted surgery and post-operative assessment of cataract s","authors_text":"Doris Putzgruber-Adamitsch, Klaus Schoeffmann, Martin Zinkernagel, Negin Ghamsarian, Raphael Sznitman, Sahar Nasirihaghighi, Sebastian Wolf, Yosuf El-Shabrawi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-11T10:53:05Z","title":"Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.06295","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:dc908f6034408057a3c4ed00f301b676a5839df895fcb02cc66925560079912d","target":"record","created_at":"2026-07-05T07:22:42Z","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":"817692295295e25e410f4f134ef2dd359667e44dfbac57e7929a5dcad5776a50","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-11T10:53:05Z","title_canon_sha256":"26d770a256a9507435eb87b7686949c31e0c46cd351cde4cade69c648c73656b"},"schema_version":"1.0","source":{"id":"2312.06295","kind":"arxiv","version":1}},"canonical_sha256":"638dcfb1548677d38e043b32241123adad1d5ca0c53f7762e7a8f12257e12a24","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"638dcfb1548677d38e043b32241123adad1d5ca0c53f7762e7a8f12257e12a24","first_computed_at":"2026-07-05T07:22:42.302501Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:42.302501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8PMBP5FMSTAO6zvHZeiPsDe/Zph0+Af/gVGkd3crx3kvrmoBBAIWm26cvlfexuaFVq7jwS6XSgCpv833AvauBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:42.303002Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.06295","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc908f6034408057a3c4ed00f301b676a5839df895fcb02cc66925560079912d","sha256:98f3f9bd41f8d2759e163115e8f628b85923e5b704b587e350440099c87f5a82"],"state_sha256":"8401e402c999d0a3a99df98bf32b6d07dfa5691a6225f3cef81fbe2fb63acae0"}