{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SWXGOVDRC6NN5AQGNTH2UA6OYU","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":"07a8bb0c6b5c428e64cb956282c049eb3f696929180e443fe86b4801febddf25","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-27T18:07:06Z","title_canon_sha256":"05958cfc67db46ce3c54ce47d65a8a9d9d8a4b5d909f827f143b1e0b19db6719"},"schema_version":"1.0","source":{"id":"2505.21634","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21634","created_at":"2026-07-05T11:11:01Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21634v1","created_at":"2026-07-05T11:11:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21634","created_at":"2026-07-05T11:11:01Z"},{"alias_kind":"pith_short_12","alias_value":"SWXGOVDRC6NN","created_at":"2026-07-05T11:11:01Z"},{"alias_kind":"pith_short_16","alias_value":"SWXGOVDRC6NN5AQG","created_at":"2026-07-05T11:11:01Z"},{"alias_kind":"pith_short_8","alias_value":"SWXGOVDR","created_at":"2026-07-05T11:11:01Z"}],"graph_snapshots":[{"event_id":"sha256:311fb4e8c50e92cbfa4fefee2f6bdd900adece4495ff26079d318c40a22dcc44","target":"graph","created_at":"2026-07-05T11:11:01Z","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/2505.21634/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Laparoscopic surgeries often suffer from reduced visual clarity due to the presence of surgical smoke originated by surgical instruments, which poses significant challenges for both surgeons and vision based computer-assisted technologies. In order to remove the surgical smoke, a novel U-Net deep learning with new loss function and integrated differentiable Wiener filter (ULW) method is presented. Specifically, the new loss function integrates the pixel, structural, and perceptual properties. Thus, the new loss function, which combines the structural similarity index measure loss, the perceptu","authors_text":"Chengjun Liu, Chengyu Yang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-27T18:07:06Z","title":"Laparoscopic Image Desmoking Using the U-Net with New Loss Function and Integrated Differentiable Wiener Filter"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21634","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":"sha256:9004578af4300efed745e8508bb0e331c5c4555b2f94c0c1d88b53427416da13","target":"record","created_at":"2026-07-05T11:11:01Z","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":"07a8bb0c6b5c428e64cb956282c049eb3f696929180e443fe86b4801febddf25","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-27T18:07:06Z","title_canon_sha256":"05958cfc67db46ce3c54ce47d65a8a9d9d8a4b5d909f827f143b1e0b19db6719"},"schema_version":"1.0","source":{"id":"2505.21634","kind":"arxiv","version":1}},"canonical_sha256":"95ae675471179ade82066ccfaa03cec5259c86b6273e4b5e646957b1fcee7a88","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95ae675471179ade82066ccfaa03cec5259c86b6273e4b5e646957b1fcee7a88","first_computed_at":"2026-07-05T11:11:01.231655Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:01.231655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ck4trqwK6yHmC+TE4RCNXdeYhZfRbON0UA5RBK+TyT+ZGGOewvdKPjqtFBe42zT35LAnoYgjhCRT2zIyEfSeBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:01.232121Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.21634","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9004578af4300efed745e8508bb0e331c5c4555b2f94c0c1d88b53427416da13","sha256:311fb4e8c50e92cbfa4fefee2f6bdd900adece4495ff26079d318c40a22dcc44"],"state_sha256":"bf8e7d8b852caa4c18651cd8039d0dfbf9f0df3437b1ec349a5a46e0f85bc290"}