{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:N4YL3RMMLPAVDMTTL4A6DSG4GJ","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":"17f92282806ec39704c950b3f503115edcdda90fdd7e842a57726a8fa7bd3117","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-12T03:04:43Z","title_canon_sha256":"78963b5af133764e3ffce04abe6f78265223b966704bf5c8663aef860f6ee348"},"schema_version":"1.0","source":{"id":"2409.07723","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.07723","created_at":"2026-07-05T11:37:10Z"},{"alias_kind":"arxiv_version","alias_value":"2409.07723v3","created_at":"2026-07-05T11:37:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.07723","created_at":"2026-07-05T11:37:10Z"},{"alias_kind":"pith_short_12","alias_value":"N4YL3RMMLPAV","created_at":"2026-07-05T11:37:10Z"},{"alias_kind":"pith_short_16","alias_value":"N4YL3RMMLPAVDMTT","created_at":"2026-07-05T11:37:10Z"},{"alias_kind":"pith_short_8","alias_value":"N4YL3RMM","created_at":"2026-07-05T11:37:10Z"}],"graph_snapshots":[{"event_id":"sha256:405e3fc8d40fb2458668bd3de53f2ae0bb728523d0e90ca8416eb083ab8d1c25","target":"graph","created_at":"2026-07-05T11:37:10Z","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/2409.07723/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Depth estimation is a cornerstone of 3D reconstruction and plays a vital role in minimally invasive endoscopic surgeries. However, most current depth estimation networks rely on traditional convolutional neural networks, which are limited in their ability to capture global information. Foundation models offer a promising approach to enhance depth estimation, but those models currently available are primarily trained on natural images, leading to suboptimal performance when applied to endoscopic images. In this work, we introduce a novel fine-tuning strategy for the Depth Anything Model and int","authors_text":"Bojian Li, Bo Liu, Fugen Zhou, Jinghua Yue, Xinning Yao","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-12T03:04:43Z","title":"Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.07723","kind":"arxiv","version":3},"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:a39e21eb62f1b617e5b01debb7fdcb753f52d12a3649bc789bc022849b1b849f","target":"record","created_at":"2026-07-05T11:37:10Z","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":"17f92282806ec39704c950b3f503115edcdda90fdd7e842a57726a8fa7bd3117","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-12T03:04:43Z","title_canon_sha256":"78963b5af133764e3ffce04abe6f78265223b966704bf5c8663aef860f6ee348"},"schema_version":"1.0","source":{"id":"2409.07723","kind":"arxiv","version":3}},"canonical_sha256":"6f30bdc58c5bc151b2735f01e1c8dc326fef76c3c34668ac8b7ce38341b79a5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f30bdc58c5bc151b2735f01e1c8dc326fef76c3c34668ac8b7ce38341b79a5e","first_computed_at":"2026-07-05T11:37:10.888752Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:37:10.888752Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l5D639Ds1qpRASN/0W838evjei56WiIIl1yI/fEMLWj9p2Y/KwXLR2RGTX+t1Emqe8QNWGluHsszV6vWmHWcAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:37:10.889225Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.07723","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a39e21eb62f1b617e5b01debb7fdcb753f52d12a3649bc789bc022849b1b849f","sha256:405e3fc8d40fb2458668bd3de53f2ae0bb728523d0e90ca8416eb083ab8d1c25"],"state_sha256":"5b166f67258042fa358ad711935baa8e7f91967f73285a873bc0fdb552a01b38"}