{"as_of":"2026-08-21T10:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fa08f053a0f757d01a4c749b2810decf95de0ece5ecee23f0d5d22092e9d632c","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:07:25.354747Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.08178/citation-record","integrity":"/paper/2505.08178/integrity","json":"/paper/2505.08178/citation-record.json","paper":"/paper/2505.08178"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.01133","last_updated":"2021-01-28T20:09:37Z","snapshot_observed_at":"2026-08-16T18:54:21.982362Z","submitted_at":"2021-01-04T17:58:48Z","title":"Stereo Correspondence and Reconstruction of Endoscopic Data Challenge","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.01133","snapshot_observed_at":"2026-08-15T22:07:25.250856Z","title":"CoRRabs/2101.01133(2021), https://arxiv.org/abs/2101","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.250856Z"},"links":{"cited_paper":"/paper/2101.01133","citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:8e910b719ecce99fae550100061e843a3cbdfab132857b65e17841a727c7e655","observation_id":"98cb9c33-dc24-46ca-9d47-376263fe6b6f","resolution":{"observed_at":"2026-08-15T22:07:25.250856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.257037Z","title":"In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.257037Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:7180bb14552da98350100e0e96ec3ac64a549bf2ae40003d3ff223bee042a291","observation_id":"e33a02db-efa3-4cc5-ad0d-9f7c052794ba","resolution":{"observed_at":"2026-08-15T22:07:25.257037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:26.378482Z","title":"In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S","venue":null,"work_id":"a007b1ed-c2a7-46ba-acaa-4bf6ee8f24bc","year":2022},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.262516Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:a23dacfeb13f918c0d8f88c32b0c7622b48b606b6c1eb5530e53661024f3348b","observation_id":"ee33ed7d-1b78-42a5-b53a-885a6c0fec64","resolution":{"observed_at":"2026-08-15T22:07:26.383402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.267557Z","title":"Displays80, 102573 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.267557Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:837768a79f5e8bdf14f2938b0eda3d3e2419f96b5facd5de1a65314d3e1545ab","observation_id":"4a11e69d-40bf-4113-98ed-3889a2ff96d0","resolution":{"observed_at":"2026-08-15T22:07:25.267557Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:26.360737Z","title":"In: International Conference on Learning Representations 2021 (2021), https: //openreview.net/forum?id=YicbFdNTTy","venue":null,"work_id":"73ba6107-7ceb-4ca2-aef3-bf9f4d55bebd","year":2021},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.272777Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:80e25c58a01f06f87e4d6f3f2816afc1a5470b3817c339f326d7eef7c756d58e","observation_id":"0b90faee-957c-48a9-8be7-b151b517dcbd","resolution":{"observed_at":"2026-08-15T22:07:26.365900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.278874Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence46(2), 681–694 (2024).https://doi","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.278874Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:2784569261022043ffe0be935844ec57a83fc09a7afce42c2dda78b34b894ed3","observation_id":"28d3605e-fb7f-4445-bd22-d665e364b556","resolution":{"observed_at":"2026-08-15T22:07:25.278874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.10510","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:26.046260Z","title":"Computers in Biology and Medicine140, 105109 (2022)","venue":null,"work_id":"33583a20-0eae-4598-aca2-df3018f37be7","year":2022},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.285591Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:778194b482a0c33ecf6e1782095da78d8287f032e443416a972e881dd657fd3e","observation_id":"4e0dfa95-d73c-45a2-bfad-f76e404144e8","resolution":{"observed_at":"2026-08-15T22:07:26.058287Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:26.344408Z","title":"IEEE transactions on medical imaging41(11), 3218–3230 (2022)","venue":null,"work_id":"3ef8c429-ad44-4352-85ae-40a6491c9b9a","year":2022},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.291288Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:1cad6751437e1c9d1c5c52dec98b6239cddb1c4a55bf4c969d6f420244ff0b74","observation_id":"b5e9014e-a5de-4867-8934-4cb848541d8f","resolution":{"observed_at":"2026-08-15T22:07:26.349852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v31i1.10723","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.421990Z","title":"In: Proceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":"3d8cb50e-4271-4c0c-9835-311cc93a463a","year":2017},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.296572Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:863c421475e644ba28641f048d610b16755b6e736af379ed66c8fc3aff376637","observation_id":"3beb0151-5b04-4517-96ca-693abb56784d","resolution":{"observed_at":"2026-08-15T22:07:25.427521Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.301910Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence46(1), 497–508 (2024).https://doi","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.301910Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:dcf8b8b897f8e41a8b313d4f0578d4f3ea02af3f2e19abd53d0c76a1758f6880","observation_id":"c752701d-9775-4297-b458-669bfd8ca74a","resolution":{"observed_at":"2026-08-15T22:07:25.301910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:26.328099Z","title":"In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S","venue":null,"work_id":"d1f0982c-64f2-47ec-b1aa-0218e375b3a7","year":null},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.306955Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:23e1199e907e4c491542c4fb95fc7421f29d32ed083cd22898b9aec32eb1f45a","observation_id":"f64b3e51-5c9c-44f2-a2ba-8ce57793e8b4","resolution":{"observed_at":"2026-08-15T22:07:26.333018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.98977","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.898744Z","title":"In: 2022 IEEE International Conference on Image Processing (ICIP)","venue":null,"work_id":"ff9ef9aa-b855-49cf-bd48-5a0d5d63db33","year":2022},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.317267Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:91e9d2cc023febe375a16b88a6bea9daeb9453027d488ed439f6fb5d330d5f96","observation_id":"6af52017-f3f3-445b-947a-1c5689307aff","resolution":{"observed_at":"2026-08-15T22:07:25.911618Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.322328Z","title":"IEEE Transactions on Biomedical Engineering70(2), 488–500 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.322328Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:d4e357dcec147fa7731eeb8456c28a7f742173bfb69fb310ba41b1c7e8ebe10e","observation_id":"53d10fd6-dfdf-4581-809f-342dcd86d13e","resolution":{"observed_at":"2026-08-15T22:07:25.322328Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.326984Z","title":"IEEE Transactions on Medical Imaging 41(7), 1651–1664 (2022).https://doi.org/10.1109/TMI.2022.3147414","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.326984Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:869fa31a0288751f4ba01c2a15c6978af66ce3111c9064b7494e32fd40380ae3","observation_id":"ad64b17f-7028-4704-a461-735a138bf1b8","resolution":{"observed_at":"2026-08-15T22:07:25.326984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.331626Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence45(11), 13941–13958 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.331626Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:d7dbddb27bd1bd35210791e3515327af05ed78b74913863268576051075aa93e","observation_id":"ce385422-f49f-453c-9bc4-283621767ede","resolution":{"observed_at":"2026-08-15T22:07:25.331626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.29033","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.659731Z","title":"IEEE Transactions on Image Processing 28(8), 3885–3897 (2019).https://doi.org/10.1109/TIP.2019.2903318","venue":null,"work_id":"ade8fcbf-d97b-4be1-90c1-4e1ec7a65842","year":2019},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.336334Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:fcba594007cd91462177aa2f74301f2b818b12ea3587474b78bbc548f3cc1aa2","observation_id":"95ed49bd-c083-4603-ac0f-382b6442a557","resolution":{"observed_at":"2026-08-15T22:07:25.667902Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.340999Z","title":"IEEE Transactions on Image Processing31, 5828–5840 (2022).https://doi.org/10.1109/TIP.2022.3202367","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.340999Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:159af39c7ae5c8889225e597d8ac628bf6ea5a0236f9c00c572e73d6106baaf5","observation_id":"40d54c79-60b5-4476-a6ef-50f7a8646cee","resolution":{"observed_at":"2026-08-15T22:07:25.340999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:26.295899Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"bec32d6d-03f6-4b10-a407-9bbb9cb63d37","year":2019},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.345522Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:9512c171674336d20349d57632cebafb545d37cb6a36501a0b3ec3e26351d37d","observation_id":"017c54c4-639a-44dd-8e9a-f5cb2f4d232e","resolution":{"observed_at":"2026-08-15T22:07:26.301281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.350151Z","title":"In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.350151Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:b33c099da67f26aee15ecb3384019c6a8378a8f0524b9053e1dedd3debd37356","observation_id":"c74028f3-2320-45de-9e0b-1a83d738057e","resolution":{"observed_at":"2026-08-15T22:07:25.350151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/34.865184","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:25.389303Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence22(7), 675–684 (2000).https://doi.org/10.1109/34.865184","venue":null,"work_id":"dd98ad66-d59f-4b45-8d6d-0528ee87721f","year":2000},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.354747Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:61a3be68ee21170d66dad2b62fbb3eb632eddb8bfeb528247feaaf4a2cff612e","observation_id":"bd057aae-5ad1-4b87-95bc-a70d610ae33d","resolution":{"observed_at":"2026-08-15T22:07:25.397051Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:26.312915Z","title":null,"venue":null,"work_id":"5863e5db-dab9-4e12-bb59-b5ab800e5971","year":2022},"citing_paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:25.312220Z"},"links":{"citing_paper":"/paper/2505.08178"},"observation_digest":"sha256:c3a0f0f1b5919f5ba336b8d6b7f2dab0aefc6ecd4f9d8ef04db5596ea0277325","observation_id":"35bbaac1-9d4a-47c6-aeb2-b013365c6db3","resolution":{"observed_at":"2026-08-15T22:07:26.317631Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.08178","last_updated":"2025-05-13T02:29:56Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T21:59:13.934852Z","submitted_at":"2025-05-13T02:29:56Z","title":"Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":2,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":9,"verified_exact":2,"verified_fuzzy":5},"total_outbound_references":21},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.08178."}