{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5KKHTHBKEGR7XZB6ECNTQBIQE7","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":"503ef65e14e79d4bfd335631c5c34be78ab4c0c4f0bedadf59c1418cd1f390e6","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-23T13:30:59Z","title_canon_sha256":"9cb53f2dc29d7a77d8afd387bc16c8427a9bbec7170923d34c844d2bf75904b4"},"schema_version":"1.0","source":{"id":"2409.15006","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15006","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15006v1","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15006","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_12","alias_value":"5KKHTHBKEGR7","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_16","alias_value":"5KKHTHBKEGR7XZB6","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_8","alias_value":"5KKHTHBK","created_at":"2026-07-05T09:10:35Z"}],"graph_snapshots":[{"event_id":"sha256:43f1930f510a19f390206ac12e783de617b9a13095e64f8896402a807798fdd2","target":"graph","created_at":"2026-07-05T09:10:35Z","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/2409.15006/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Objective: Depth estimation is crucial for endoscopic navigation and manipulation, but obtaining ground-truth depth maps in real clinical scenarios, such as the colon, is challenging. This study aims to develop a robust framework that generalizes well to real colonoscopy images, overcoming challenges like non-Lambertian surface reflection and diverse data distributions. Methods: We propose a framework combining a convolutional neural network (CNN) for capturing local features and a Transformer for capturing global information. An uncertainty-based fusion block was designed to enhance generaliz","authors_text":"Chengfeng Zhou, Dahong Qian, Jianwei Xu, Sijia Du, Suncheng Xiang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-23T13:30:59Z","title":"Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15006","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:ab988262a130bdea832ef7bc1292ec1ba2684354f7c2784a794cc6eb3c3e08e2","target":"record","created_at":"2026-07-05T09:10:35Z","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":"503ef65e14e79d4bfd335631c5c34be78ab4c0c4f0bedadf59c1418cd1f390e6","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-23T13:30:59Z","title_canon_sha256":"9cb53f2dc29d7a77d8afd387bc16c8427a9bbec7170923d34c844d2bf75904b4"},"schema_version":"1.0","source":{"id":"2409.15006","kind":"arxiv","version":1}},"canonical_sha256":"ea94799c2a21a3fbe43e209b38051027d236d078b635be21e4fb53d872ce38f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea94799c2a21a3fbe43e209b38051027d236d078b635be21e4fb53d872ce38f9","first_computed_at":"2026-07-05T09:10:35.035959Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:35.035959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gt+DsgxwzfYbqPqlbR207T865Euyyz/4QVM2ZTUnxioxtcik3dpVBXLn6/1JKfESXkPl8mmnNBZurzzMhxCtCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:35.036434Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.15006","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab988262a130bdea832ef7bc1292ec1ba2684354f7c2784a794cc6eb3c3e08e2","sha256:43f1930f510a19f390206ac12e783de617b9a13095e64f8896402a807798fdd2"],"state_sha256":"9f2503c599ab33721a106e509b6494b5833e68e7d87bce79d981e3517f9abdd4"}