{"as_of":"2026-08-08T07:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8514775312f5b8aad9a373af9163901a225214eb757194a749f522fc76ba1c2e","coverage":[{"denominator":71,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":71,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:27:20.403684Z","state":"measured"},{"denominator":75,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":75,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T05:49:52.365174Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-20T18:38:52.902502Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.10712","snapshot_observed_at":"2026-08-03T05:49:52.365174Z","title":"High-resolution iterative feedback network for camouflaged object detection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.01183","last_updated":"2026-05-25T07:56:30Z","snapshot_observed_at":"2026-08-03T05:49:49.487144Z","submitted_at":"2026-02-01T12:12:24Z","title":"Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-03T05:49:52.365174Z"},"links":{"cited_paper":"/paper/2506.10712","citing_paper":"/paper/2602.01183"},"observation_digest":"sha256:3969c635e9b7dc568e5c6d29f0dfbaa8d839c1098397b15d5f474553c869d2a6","observation_id":"74e79a75-3ee3-4777-8ffc-8c1c130d9b82","resolution":{"observed_at":"2026-08-03T05:49:52.365174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"cited_work":{"arxiv_id":"2506.10712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.10712","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Uncertainty-masked bernoulli diffusion for camouflaged object detection refinement","venue":null,"work_id":"b668f337-cd8f-41eb-b74d-dca451640a99","year":2025},"citing_paper":{"arxiv_id":"2605.15450","last_updated":"2026-05-14T22:19:52Z","snapshot_observed_at":"2026-08-03T00:34:27.094124Z","submitted_at":"2026-05-14T22:19:52Z","title":"RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-19T15:11:55.921453Z"},"links":{"cited_paper":"/paper/2506.10712","citing_paper":"/paper/2605.15450"},"observation_digest":"sha256:14e85d413713a1e3c749c9352d97db28f1f061696514a1fae3472dd3a115bf85","observation_id":"1142e90a-c220-4440-96ae-9d4032004842","resolution":{"observed_at":"2026-05-19T15:12:37.420238Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"cited_work":{"arxiv_id":"2506.10712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.10712","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Uncertainty-masked bernoulli diffusion for camouflaged object detection refinement","venue":null,"work_id":"b668f337-cd8f-41eb-b74d-dca451640a99","year":2025},"citing_paper":{"arxiv_id":"2605.15803","last_updated":"2026-05-15T09:56:40Z","snapshot_observed_at":"2026-07-06T23:27:01.213106Z","submitted_at":"2026-05-15T09:56:40Z","title":"Embedding-perturbed Exploration Preference Optimization for Flow Models","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-20T18:33:52.933672Z"},"links":{"cited_paper":"/paper/2506.10712","citing_paper":"/paper/2605.15803"},"observation_digest":"sha256:73a0f10090836a5ae2c7e9d58dcdae4766ef6ece643120ba00b2614d749ff65e","observation_id":"f2fcc170-4800-4d69-b53d-779982100733","resolution":{"observed_at":"2026-05-20T18:38:52.904193Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.10712","snapshot_observed_at":"2026-08-02T05:17:43.895399Z","title":"Diffuse, sample, project: Plug-and-play controllable graph generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13431","last_updated":"2026-07-15T04:23:22Z","snapshot_observed_at":"2026-08-07T01:50:04.940823Z","submitted_at":"2026-07-15T04:23:22Z","title":"Discrete Diffusion Models: A Unified Framework from Tokenization to Generation","version":1},"reference_index":154,"source":"pdf_text","source_observed_at":"2026-08-02T05:17:43.895399Z"},"links":{"cited_paper":"/paper/2506.10712","citing_paper":"/paper/2607.13431"},"observation_digest":"sha256:6f477b7ec45fa5ee50a7193a6de8aac4825a46577ae8b7f931c8bbdf640a91d9","observation_id":"88b9b634-cd36-471c-b201-f5f7681f45b5","resolution":{"observed_at":"2026-08-02T05:17:43.895399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.10712/citation-record","integrity":"/paper/2506.10712/integrity","json":"/paper/2506.10712/citation-record.json","paper":"/paper/2506.10712"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:27:20.968610Z","title":"Concealed object detection,","venue":null,"work_id":"975655c0-32d8-4427-b5e6-53d661a20d96","year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.199223Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:c2e20a5d3b0939146909ab47d8086954bf90e7e6ec382477f87f0230b7511d32","observation_id":"826654b9-d64c-4073-b368-8153949318a3","resolution":{"observed_at":"2026-08-07T04:27:20.971345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10979","last_updated":"2025-04-15T08:44:42Z","snapshot_observed_at":"2026-08-07T16:05:37.151304Z","submitted_at":"2025-04-15T08:44:42Z","title":"Deep Learning in Concealed Dense Prediction","version":1},"cited_work":{"arxiv_id":"2504.10979","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.10979","snapshot_observed_at":"2026-08-07T04:27:20.559348Z","title":"Deep Learning in Concealed Dense Prediction","venue":"cs.CV","work_id":"07caf05a-c34b-4205-a18d-ec7c18c32c27","year":2025},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.202544Z"},"links":{"cited_paper":"/paper/2504.10979","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:458b902a0324932525d95091a5a48f50baf0918d81f240459186cf0cc275f01c","observation_id":"f5f56617-a34f-4f44-939a-8fd98b5eb475","resolution":{"observed_at":"2026-08-07T04:27:20.562289Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.959688Z","title":"Depth-aware concealed crop detection in dense agricultural scenes,","venue":null,"work_id":"f6d81dc2-ee3a-453c-b0d9-35dea7c1936e","year":2024},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.206352Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:3f51d5f7208ffe1995b0a0bf7d0d35e1331a6093d560617eae91f7e4cc3e38eb","observation_id":"0ad05fc1-32da-4492-ba83-eb3f814ddc7f","resolution":{"observed_at":"2026-08-07T04:27:20.963630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.944687Z","title":"Computer-vision-based fabric defect detection: A survey,","venue":null,"work_id":"ff4f14be-a664-44c0-813f-78e676dad43d","year":2008},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.212450Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:7b20fbe9bd7c42eb11aa1598e5a70a49cfd19448bf9e1ffe05cae951f6261f46","observation_id":"85268fd7-ed94-434e-bb2b-2ace5856afbb","resolution":{"observed_at":"2026-08-07T04:27:20.947627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.936058Z","title":"Image threshold segmentation based on glle histogram,","venue":null,"work_id":"c8387930-fc38-4dd8-af52-d9ae942dcf44","year":2019},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.215189Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:d76c5f468613d5e85cd12841323b7bd950e0ab2336f8620c87387eaded969805","observation_id":"2aebbbcd-fe8d-462b-a9f7-75cb166ad7fd","resolution":{"observed_at":"2026-08-07T04:27:20.939041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.927750Z","title":"Camouflaged object detection,","venue":null,"work_id":"2d75f632-c7ee-4bcc-aaf0-16c885a836f3","year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.218908Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:f20c5c8ef69e73f7416b62bc42570823a9937bd0d2bc5be0afe8bc28905a6c4c","observation_id":"51ce965c-b62c-47cc-ad3f-3f0e5e0f0fae","resolution":{"observed_at":"2026-08-07T04:27:20.930317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.221859Z","title":"Camoformer: Masked separable attention for camouflaged object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.221859Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:841b6c2b15a64606f60481a0f434de1ed08e2fd60af8cf4b970e57e4b6aaebbc","observation_id":"a0c06dbf-0715-461c-a55f-c54139672b14","resolution":{"observed_at":"2026-08-07T04:27:20.221859Z","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":"2026-08-07T04:27:20.224270Z","title":"Camouflaged object detection with feature decomposition and edge reconstruction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.224270Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:adc9a7df8bbc303f863f26106a6346684c5945963052f974204d07d4b8b3def1","observation_id":"b85531ae-1e4a-41ca-a5ab-44e747ba0ed2","resolution":{"observed_at":"2026-08-07T04:27:20.224270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18783","last_updated":"2025-02-20T21:00:50Z","snapshot_observed_at":"2026-07-06T20:28:42.872378Z","submitted_at":"2025-01-30T22:19:15Z","title":"RUN: Reversible Unfolding Network for Concealed Object Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18783","snapshot_observed_at":"2026-08-07T04:27:20.227441Z","title":"Run: Reversible unfolding network for concealed object segmentation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.227441Z"},"links":{"cited_paper":"/paper/2501.18783","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:14d8e92b6d5c6ed3404c990297e7dd1e1bac0f5839a8df0cc39999935812a719","observation_id":"df5c1220-3a26-4078-ba24-e996e4d35d77","resolution":{"observed_at":"2026-08-07T04:27:20.227441Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14471","last_updated":"2025-05-19T04:42:52Z","snapshot_observed_at":"2026-08-07T18:02:18.317714Z","submitted_at":"2025-02-20T11:49:50Z","title":"Integrating Extra Modality Helps Segmentor Find Camouflaged Objects Well","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14471","snapshot_observed_at":"2026-08-07T04:27:20.230842Z","title":"Integrating extra modality helps segmentor find camouflaged objects well,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.230842Z"},"links":{"cited_paper":"/paper/2502.14471","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:01a89dd300977c9062982079385925baca00d4b67d4fc83a95908485e431bc82","observation_id":"bfad46b5-607d-45b5-9f7f-a74378842893","resolution":{"observed_at":"2026-08-07T04:27:20.230842Z","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":"2026-08-07T04:27:20.912375Z","title":"Tackling the over-smoothing problem of cnn-based hyperspectral image classification,","venue":null,"work_id":"4f22da3c-8815-4395-a84e-11ccde01b08b","year":2022},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.233982Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:047d9cb6d0cf960a76ecb0dab9896aedf5b20420a67e6ee03a1abe194bbac26f","observation_id":"205096e9-8fc7-4782-a00a-1f46a00cde71","resolution":{"observed_at":"2026-08-07T04:27:20.915571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03112","last_updated":"2025-05-29T12:31:57Z","snapshot_observed_at":"2026-07-31T01:54:02.985400Z","submitted_at":"2023-05-04T19:11:33Z","title":"Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03112","snapshot_observed_at":"2026-08-07T04:27:20.237731Z","title":"Mitigating undisciplined over-smoothing in transformer for weakly supervised semantic segmentation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.237731Z"},"links":{"cited_paper":"/paper/2305.03112","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:f49311e5121d2628f2a4919773834daf03df35da8599f6221e51e773fba7840e","observation_id":"434cf4cb-4b7a-4028-87d2-023990bdfbac","resolution":{"observed_at":"2026-08-07T04:27:20.237731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.14562","last_updated":"2024-08-26T18:23:22Z","snapshot_observed_at":"2026-07-06T19:06:10.813371Z","submitted_at":"2024-08-26T18:23:22Z","title":"A Survey of Camouflaged Object Detection and Beyond","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.14562","snapshot_observed_at":"2026-08-07T04:27:20.241606Z","title":"A survey of camouflaged object detection and beyond,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.241606Z"},"links":{"cited_paper":"/paper/2408.14562","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:971e6a551e45cf32e64689ed8fee2f96b4715690fa2ce7e138192db387313f33","observation_id":"20b0ab4e-c206-492b-8da8-db702256a2e9","resolution":{"observed_at":"2026-08-07T04:27:20.241606Z","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":"2026-08-07T04:27:20.245175Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.245175Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:093e993b93843ff52fa5f5891f244d8dd7109a12d66e85a831531606d184241b","observation_id":"f0f056a3-2afe-4324-8ecb-ce59ac3fc5ee","resolution":{"observed_at":"2026-08-07T04:27:20.245175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11138","last_updated":"2025-02-25T03:53:24Z","snapshot_observed_at":"2026-08-02T02:52:13.454406Z","submitted_at":"2024-06-17T01:49:27Z","title":"Diffusion Models in Low-Level Vision: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11138","snapshot_observed_at":"2026-08-07T04:27:20.248410Z","title":"Diffusion models in low-level vision: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.248410Z"},"links":{"cited_paper":"/paper/2406.11138","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:ecc2c35766e6d755e03f09ccb4f7886617a496b474ef89fc8df5342e3d813366","observation_id":"4ef5e255-d929-4978-b4e8-5d0eb648c269","resolution":{"observed_at":"2026-08-07T04:27:20.248410Z","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":"2026-08-07T04:27:20.251753Z","title":"Diffusion models in vision: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.251753Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:8452a0c1f8a785d0fed299e46c40693a868e50e5a1c590d5805c1e4871c8274b","observation_id":"76a21c4b-a6d6-479c-9c4d-dcebd50c06df","resolution":{"observed_at":"2026-08-07T04:27:20.251753Z","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":"2026-08-07T04:27:20.897203Z","title":"Camodiffusion: Camouflaged object detection via conditional diffusion models,","venue":null,"work_id":"e1b1c90c-38a8-4d80-a0ea-16968ee98c8d","year":2024},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.254516Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:50f4515fdf7e6b9f6d9ac8d841539bee27768f14401dbab28a71fae03878aabb","observation_id":"bc4a565a-b7bd-4dad-aeca-bd505c0b0fe5","resolution":{"observed_at":"2026-08-07T04:27:20.900034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.257345Z","title":"Conditional diffusion models for camouflaged and salient object detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.257345Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:cc1c1c7690bcf2d71b4c5cdabe4a221f0e4943bd68e7d139a02b1adc747cc357","observation_id":"559ae32f-5dfd-4ff8-bdb9-33c33f9f6d8e","resolution":{"observed_at":"2026-08-07T04:27:20.257345Z","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":"2026-08-07T04:27:20.885655Z","title":"Uncertainty-guided diffusion model for camouflaged object detection,","venue":null,"work_id":"ffb8ef59-0a4c-4345-b181-9903b68756b4","year":2025},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.260414Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:4581122e77cfdcf9251d3a3cdacd5ab78a3e579319c06cafeea8fc8c9b148a01","observation_id":"8437d235-c0e5-4d52-95de-72a3bcc9ec95","resolution":{"observed_at":"2026-08-07T04:27:20.888829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.877969Z","title":"Diffusion model for camouflaged object detection,","venue":null,"work_id":"3fd41d00-d7b1-4af8-9c7b-d5f90723bd49","year":null},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.263981Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:3b1fdd666d22ffce481faf1fd6737461b94b635a4c3ef7c5d8f0b5ec477804af","observation_id":"943900b2-ba2d-47a4-8c8e-16b451f9062b","resolution":{"observed_at":"2026-08-07T04:27:20.881586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.863782Z","title":"A brief survey on semantic segmentation with deep learning,","venue":null,"work_id":"10b0a4c2-c268-4892-aab7-caad30c462b8","year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.271143Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:ca58ac953584a57e5111a6cb3b00be235a42b68cae257fc7751330843f934cde","observation_id":"c83bd2b8-f624-48f2-a2d8-a4473d820181","resolution":{"observed_at":"2026-08-07T04:27:20.866489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.855806Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics,","venue":null,"work_id":"40819183-79ac-4988-acdd-5d0e52f09844","year":2015},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.274472Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:7b0fa6aeae1c6d9cfdfc35c2688f36d344023350676de1f92c0ba07f70d97716","observation_id":"684ac845-dbf8-4604-8fd3-293972b27ccf","resolution":{"observed_at":"2026-08-07T04:27:20.858635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.847731Z","title":"Structured denoising diffusion models in discrete state-spaces,","venue":null,"work_id":"1cf6841f-c411-4e47-91a0-6c538031e119","year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.277315Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:a6f76c1889e0ad0c710c482371f197d07a58ce465363cd7fccd1f52eca43d0dd","observation_id":"6d08a786-cccf-40ed-8bf6-a89276567f12","resolution":{"observed_at":"2026-08-07T04:27:20.850569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.839599Z","title":"Hidiff: hybrid diffusion framework for medical image segmentation,","venue":null,"work_id":"4683eb7f-7e36-4948-a751-723c869a3356","year":2024},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.280911Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:448300ce7f916578a2bfd33dc95a17a4c3628eb4f14d7234d4d6b20c8f1e1ef7","observation_id":"b477a70f-0b7b-47f3-8de7-1e926cb95d01","resolution":{"observed_at":"2026-08-07T04:27:20.842425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.12425","last_updated":"2023-12-19T18:53:47Z","snapshot_observed_at":"2026-08-07T23:31:18.216624Z","submitted_at":"2023-12-19T18:53:47Z","title":"SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.12425","snapshot_observed_at":"2026-08-07T04:27:20.283530Z","title":"Segrefiner: Towards model-agnostic segmentation refinement with discrete diffusion process,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.283530Z"},"links":{"cited_paper":"/paper/2312.12425","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:bf4da2a2b44c83e6a5fab3aad7bda9904a73e5e5a96c9aa13468ba7a10bf7478","observation_id":"34735f49-0ca9-4983-8f2e-21fa98b9c75e","resolution":{"observed_at":"2026-08-07T04:27:20.283530Z","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":"2026-08-07T04:27:20.831438Z","title":"Pointrend: Image segmentation as rendering,","venue":null,"work_id":"822c1116-96f4-49a6-9ff7-92b192ff6e16","year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.286691Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:a452b4b1cfeeceaf0d08dd723b572576ac25ad7ff882dfbae3033f2cd2e9aa98","observation_id":"6c768329-40f1-4ef1-9432-e9dda3ccaf65","resolution":{"observed_at":"2026-08-07T04:27:20.834300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.823804Z","title":"Mask transfiner for high-quality instance segmentation,","venue":null,"work_id":"1f1fb322-d6b8-42ed-9dda-3be547a5c6dc","year":2022},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.290014Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:44184e5f336c764a98921734069feff10d117f7e1857cd029abbbcec8a1aad06","observation_id":"08faceb1-b764-446e-a184-010bcbc840b6","resolution":{"observed_at":"2026-08-07T04:27:20.826668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.815699Z","title":"Look closer to segment better: Boundary patch refinement for instance segmentation,","venue":null,"work_id":"55a08922-2532-4ee4-9a14-3b2b249b43d9","year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.292630Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:5b8ecfa1a756dc041da71c341c38e7bbf5eefedbbebab3f9b9f0ea19a3a9d9ef","observation_id":"eb88ef8c-0520-42ce-a949-c3e29cc7e858","resolution":{"observed_at":"2026-08-07T04:27:20.819273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.808357Z","title":"Segfix: Model-agnostic boundary refinement for segmentation,","venue":null,"work_id":"726c6ce1-16df-4960-843f-211684f7c7c8","year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.294945Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:289cddf30ae5ad88a5395f0735648824cd708eeec9f368ee2fdb6009a6c8a2db","observation_id":"c6526cdf-4f45-4602-8c3d-e012b266a6d2","resolution":{"observed_at":"2026-08-07T04:27:20.811111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.800557Z","title":"Cascadepsp: Toward class-agnostic and very high- resolution segmentation via global and local refinement,","venue":null,"work_id":"50d22668-b799-414f-83e3-2ace2b0ad6f0","year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.297847Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:89b83d0fee0d3e13bc3c32595e390c1aa7a08060e26fe4a9e736f6a0b4c375d2","observation_id":"90d5fc0f-a75a-41e7-a1d1-7d53c1540837","resolution":{"observed_at":"2026-08-07T04:27:20.803374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.792709Z","title":"Polytransform: Deep polygon transformer for instance segmentation,","venue":null,"work_id":"f9fae1d4-2f87-4583-b858-d3fc85c4fcd7","year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.300368Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:89b247a580cf3418b83bbc29753d4347233b4d79f3304180678ecaf3ebccd0d1","observation_id":"e09b40b6-678b-440e-bc0b-78dbe216a76a","resolution":{"observed_at":"2026-08-07T04:27:20.795467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06756","last_updated":"2025-03-16T10:12:23Z","snapshot_observed_at":"2026-08-06T06:08:06.089475Z","submitted_at":"2025-02-10T18:33:15Z","title":"SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06756","snapshot_observed_at":"2026-08-07T04:27:20.302770Z","title":"Samrefiner: Taming segment anything model for universal mask refinement,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.302770Z"},"links":{"cited_paper":"/paper/2502.06756","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:91a9a72c0a929f90e7b478996cd1e63f1443ea6059139d6f9a40648224aa2682","observation_id":"7f36f637-055d-48f8-9479-ecb67ad75428","resolution":{"observed_at":"2026-08-07T04:27:20.302770Z","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":"2026-08-07T04:27:20.306018Z","title":"Segment anything,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.306018Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:8a3c930fe9c8a2d4d3d66bd1cbf1d089d038574ec77050d24cf0f5f08923de7e","observation_id":"2ac916f7-aaf2-4b39-b0d0-211f1755d860","resolution":{"observed_at":"2026-08-07T04:27:20.306018Z","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":"2026-08-07T04:27:20.781358Z","title":"Predictive uncertainty estimation for camouflaged object detection,","venue":null,"work_id":"f4781d0c-9953-4650-b771-0a79bdbec073","year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.308514Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:2facb55d84cfa22d659187cb79b63f1932ac8f5ae570e38d4bc7eebc1e02a35e","observation_id":"0bbbd747-dacc-497b-bb47-a6b75d53ed24","resolution":{"observed_at":"2026-08-07T04:27:20.784348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.310890Z","title":"Uncertainty-guided transformer reasoning for camouflaged object detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.310890Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:942f97ae5ab40cc31b36bf455c7e6744df81a2c5e4d7777bbbeff16b455ede0a","observation_id":"58dcf5e4-19eb-4cce-971e-fc430b4b28a0","resolution":{"observed_at":"2026-08-07T04:27:20.310890Z","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":"2026-08-07T04:27:20.313513Z","title":"Uncertainty-aware joint salient object and camouflaged object detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.313513Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:0de38b56d98cd8ee210fdae09cc204ad8ca2bed55840b3ef0da2e026dd762f38","observation_id":"cbe45e14-8e82-442b-8c1e-5fdf9911fe8e","resolution":{"observed_at":"2026-08-07T04:27:20.313513Z","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":"2026-08-07T04:27:20.764728Z","title":"Preynet: Preying on camouflaged objects,","venue":null,"work_id":"23243f54-0bf7-4790-b0d2-95b262264ac6","year":2022},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.316017Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:5706ef8433592202a278333745b1e3dcfc17e1303d2bff1de74b2213c2d67985","observation_id":"493d0115-1a31-4fb6-9e81-c0415dd62f6e","resolution":{"observed_at":"2026-08-07T04:27:20.768102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.757406Z","title":"Modeling aleatoric uncertainty for camouflaged object detection,","venue":null,"work_id":"224c1ffe-632e-4b3a-b66f-3a42a88e914b","year":2022},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.318362Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:98168fa9b8d840967c1315454a8f7405cd741f33d7099900e502bb4ab48601ca","observation_id":"2a740c71-9fa3-46b7-847e-29654670d1df","resolution":{"observed_at":"2026-08-07T04:27:20.760257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.750025Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":"d899cb23-e312-4fab-8978-58fe32c432a4","year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.321957Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:b504ea358e5f309e32fb2dc573a52c594f4efac39719578dc4bf4d2a578a1b71","observation_id":"9412b52a-d221-4b41-961a-dbbe6c6e6fd6","resolution":{"observed_at":"2026-08-07T04:27:20.752761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.742627Z","title":"Generative modeling by estimating gradients of the data distribution,","venue":null,"work_id":"19a79ad5-c586-4587-b96a-ffa57ccdd743","year":2019},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.324405Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:1f65b1193683118ee856636aa9c635641b0d16fc755b20c126eebc155d6106cb","observation_id":"38959875-862f-4029-96d3-030e67ceed84","resolution":{"observed_at":"2026-08-07T04:27:20.745271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.735458Z","title":"U-net: Convolutional networks for biomedical image segmenta- tion,","venue":null,"work_id":"1a1984ef-c68c-4c19-983e-3de1e487d598","year":2015},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.326869Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:898e2b56e62f616172c0c9293536c9b1f36622390e29d27cd2468b6aeac76428","observation_id":"2ceef4a3-00d8-4c8e-be89-6d2e314dac40","resolution":{"observed_at":"2026-08-07T04:27:20.738134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.727705Z","title":"Argmax flows and multinomial diffusion: Learning categorical distributions,","venue":null,"work_id":"00500a1d-dcff-437f-97bb-53f8a4f7c482","year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.329430Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:c32aab9c783dfba3a4dffe77cffa5c406893a8a3c01f7ea81884961114a0099a","observation_id":"4dd2959e-f3ae-427d-a7ef-6de26d8bb388","resolution":{"observed_at":"2026-08-07T04:27:20.730521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-07T04:27:20.332065Z","title":"Denoising diffusion implicit models,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.332065Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:167f481ceda934e246e6b35166fa3f51fb89a9140c5f3ce91f387ce7e7962b0e","observation_id":"c3e66eae-61f6-462d-b793-0e5f717feeb6","resolution":{"observed_at":"2026-08-07T04:27:20.332065Z","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":"2026-08-07T04:27:20.719513Z","title":"Decoupled weight decay regularization,","venue":null,"work_id":"bfcd41c7-c708-46dd-9b17-71a591386897","year":2017},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.334591Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:f3e34b4fd633c0065f0621ffd32f78af929f120d7f28db87f99bade4a839fbf9","observation_id":"1ee9d311-5b3f-4e66-8ca9-5b843cdb7cbe","resolution":{"observed_at":"2026-08-07T04:27:20.722294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.337707Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.337707Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:71cb48bd1e7c0d47ea9798a8703b62e1631280e61222bf4df871c097a92a7bc8","observation_id":"77e62156-155a-4fcc-b3aa-39c967544e21","resolution":{"observed_at":"2026-08-07T04:27:20.337707Z","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":"2026-08-07T04:27:20.340305Z","title":"Imagenet: A large-scale hierarchical image database,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.340305Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:5e88533e73c21ef9c854437d78921c7dfcfdee68131f11e2572674eab152019f","observation_id":"8f1c9bd6-5fd8-44cc-b4dd-c42397c54297","resolution":{"observed_at":"2026-08-07T04:27:20.340305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.09672","last_updated":"2021-02-18T23:44:17Z","snapshot_observed_at":"2026-08-06T00:36:41.660457Z","submitted_at":"2021-02-18T23:44:17Z","title":"Improved Denoising Diffusion Probabilistic Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.09672","snapshot_observed_at":"2026-08-07T04:27:20.342711Z","title":"Improved denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.342711Z"},"links":{"cited_paper":"/paper/2102.09672","citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:76848c6ee52b6bb4f4b611cabbe9bc1ed3074790c1e4ea464711bf99df4e64be","observation_id":"017fe30e-c013-47b7-a0df-c4d74a605754","resolution":{"observed_at":"2026-08-07T04:27:20.342711Z","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":"2026-08-07T04:27:20.705122Z","title":"Animal camouflage analysis: Chameleon database,","venue":null,"work_id":"39a6513a-1160-4c71-8a32-ca2c76fb89fc","year":2018},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.345419Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:58103ff4c6036f37a81f0eeeff2f17c9afc78bd202267696e32e3e065db8a32e","observation_id":"ffdf8de6-32ca-427a-9d50-0494678875ae","resolution":{"observed_at":"2026-08-07T04:27:20.707621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.698138Z","title":"Anabranch network for camouflaged object segmentation,","venue":null,"work_id":"19a59cef-166c-47a1-a6fc-2990a5ad9665","year":2019},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.347718Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:646df25ec1eb5b2b63e09a1fadb36b57c198ebd9b57483f217ff9e8dd51d6d50","observation_id":"b5e09297-5f4f-4069-895c-651b24dbbb22","resolution":{"observed_at":"2026-08-07T04:27:20.700757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.690945Z","title":"Simultaneously localize, segment and rank the camouflaged objects,","venue":null,"work_id":"5551dd70-3fb5-42fe-97cf-cad35b812bdf","year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.350287Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:bf5d809a4130fb438545fda3d4166561dfcaee5da3098afbef172095a544db3f","observation_id":"cd8ac69c-2905-4a09-a41b-6773dad4f784","resolution":{"observed_at":"2026-08-07T04:27:20.693643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.683600Z","title":"How to evaluate foreground maps?","venue":null,"work_id":"6ee4fdf6-eb85-4317-816a-b2dbc32c40fe","year":2014},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.352737Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:8355317a31cc6b28381902e1aabf988ed3f5432490275e9bae5bf7cdeb4f8f16","observation_id":"6d841692-8c9a-426d-83e2-4c6b6387d41c","resolution":{"observed_at":"2026-08-07T04:27:20.686184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.674589Z","title":"Cognitive vision inspired object segmentation metric and loss function,","venue":null,"work_id":"55784381-ff45-46cf-892d-27c12b2cf7c1","year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.356169Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:2225ec73c96c575d6439ce6083dbc5f81eb06b4b60694803b6abe683b51d0f8d","observation_id":"70247564-9c91-43d0-9458-cbd3ab070384","resolution":{"observed_at":"2026-08-07T04:27:20.678745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.666217Z","title":"Structure-measure: A new way to evaluate foreground maps,","venue":null,"work_id":"7b1ccba8-f8c5-4070-927d-92fd14218165","year":2017},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.359320Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:924f282bbc725fc88205e4185f532edeb57fe8268889cf2cc231b9bf226f3e16","observation_id":"6bfe9b66-d44d-4a43-b5a9-d029e532026b","resolution":{"observed_at":"2026-08-07T04:27:20.669019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.658926Z","title":"Camouflaged object segmentation based on matching–recognition– refinement network,","venue":null,"work_id":"7780b0d2-f5d6-4cba-87bf-49e659574163","year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.362466Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:dc98078a6f87f30459e0fa64e045ef950e3a71d6b031483292e63add587f43dc","observation_id":"327ed2a6-72da-4e4a-997a-7628687fd9cc","resolution":{"observed_at":"2026-08-07T04:27:20.661698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.650386Z","title":"Fsnet: Focus scanning network for camouflaged object detection,","venue":null,"work_id":"b36c4425-2a9a-4853-80ca-5378de8c88f6","year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.364643Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:98d4538fbb17adb4a05da5961169b1728463826da212b7a3483015a795170454","observation_id":"66dd5572-fa75-4373-bd43-4a3160232055","resolution":{"observed_at":"2026-08-07T04:27:20.654348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.367065Z","title":"Res2net: A new multi-scale backbone architecture,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.367065Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:6fc8c426af36a6204dd4ffdce651bee39aac38fa02975f785db3df12c1627882","observation_id":"788b8afb-fc9c-4205-970f-56e3fc2a7fac","resolution":{"observed_at":"2026-08-07T04:27:20.367065Z","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":"2026-08-07T04:27:20.369593Z","title":"Pvt v2: Improved baselines with pyramid vision transformer,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.369593Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:0ba84b2efbae15a5c668af9941084da907b41bca9fd1a364f6078af8968fedb7","observation_id":"b3064153-559f-429d-88a0-cb3fe5406033","resolution":{"observed_at":"2026-08-07T04:27:20.369593Z","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":"2026-08-07T04:27:20.372751Z","title":"Sam-adapter: Adapting segment anything in underperformed scenes,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.372751Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:131e62d509ba5503b75c732cb08acc80d5cca2cc177c1c8f1621dad228c0947d","observation_id":"9e71d9e5-fda1-4dc0-bae2-fc9126e1a922","resolution":{"observed_at":"2026-08-07T04:27:20.372751Z","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":"2026-08-07T04:27:20.375001Z","title":"Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.375001Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:ac69a39b9d3cd8ae29ed4f3da04ae61a78f0ec9240feb15295d88a94e09faedd","observation_id":"aa347f4d-fff6-40a3-a8c1-882d6019ba3c","resolution":{"observed_at":"2026-08-07T04:27:20.375001Z","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":"2026-08-07T04:27:20.627953Z","title":"A survey on deep learning for polyp segmentation: Techniques, challenges and future trends,","venue":null,"work_id":"3489844c-40ed-4f54-b9f3-71a69e0cb55e","year":2025},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.377600Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:f1fbac6ce03582f32818ddcc7c0c35b32fc8037a1cd90c44e61f3ec493a7dc66","observation_id":"8fae7c00-856f-4ba0-b163-8a16ced0a8ae","resolution":{"observed_at":"2026-08-07T04:27:20.631389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.620983Z","title":"Confusing object detection: A survey","venue":null,"work_id":"adce888f-73e9-4b68-807e-fca0bd1636dc","year":2024},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.380614Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:540996d987b59c64831de80f7c82369ccbf605e5fba7a363335966a5b02e2eff","observation_id":"9d05bfdf-077f-455c-8a33-b062ee22850a","resolution":{"observed_at":"2026-08-07T04:27:20.623617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.614018Z","title":"Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,","venue":null,"work_id":"97c778bc-fae3-4eeb-b248-48c5f40db7a1","year":2015},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.383512Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:0b51aa0059513bb1a64e7b65930297f3d259712ec2a291e4690543530183a7b7","observation_id":"c7633e46-c0a7-469a-a766-e7692e222309","resolution":{"observed_at":"2026-08-07T04:27:20.616696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.606786Z","title":"Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer,","venue":null,"work_id":"7a788dc1-e750-49f5-9f3c-f93ea93c7310","year":2014},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.385908Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:1d03c385c7c381d645cc99422fa0d120e6fdb8f7a91812eb728cb14bb725b8de","observation_id":"009f6bb4-32ae-4701-a46a-0f1b754d89c5","resolution":{"observed_at":"2026-08-07T04:27:20.609694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.952133Z","title":"Pranet: Parallel reverse attention network for polyp segmentation,","venue":null,"work_id":"8a565a1d-48ad-4417-9fc6-65fecb067381","year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.388880Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:930ba79624d3df4d60db10dddeefa879c69570ba736209bf4b9deb9f3bc8efc0","observation_id":"53382873-1a9b-4856-ab70-030f68af3375","resolution":{"observed_at":"2026-08-07T04:27:20.954987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.599322Z","title":"Uacanet: Uncertainty augmented context attention for polyp segmentation,","venue":null,"work_id":"4e934530-4d52-479e-af64-463c9dbf0114","year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.391249Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:fdfc2f443b6feda176ce214421955015fa3f0e258c0c7d5a02cacf49c2384ae6","observation_id":"5ac1d281-e6ff-476a-9888-cc0db374bae5","resolution":{"observed_at":"2026-08-07T04:27:20.602229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.591631Z","title":"Don’t hit me! glass detection in real-world scenes,","venue":null,"work_id":"216d1ff3-21b0-46c3-a9f8-12cfdd18231b","year":2020},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.394065Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:529a58b7bed3ab035a352efa26be8d38c761bc08ef4d55534c3bf80ce92d3b7b","observation_id":"4d02a8d5-7dc5-425d-83a9-23b621a9187a","resolution":{"observed_at":"2026-08-07T04:27:20.594378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.583942Z","title":"Where is my mirror?","venue":null,"work_id":"ebf96224-bd1f-47e7-9ee0-91d12aaf0479","year":2019},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.396336Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:a3c4ab7ed1077fc758f6200fd79ad2eabcce847c0966a2e0aae80dce7d330372","observation_id":"378878f3-a2cd-4e62-82d6-5570f1d46ab8","resolution":{"observed_at":"2026-08-07T04:27:20.586619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.576080Z","title":"Enhanced boundary learning for glass-like object segmentation,","venue":null,"work_id":"f32c2991-fb40-4eff-b79f-008c946e6c60","year":2021},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.398618Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:4f07d243f0a2a95b346b6e4e6bbaf56829765628e3188ef3ceee24d092a927a5","observation_id":"9381b2c9-f38b-47dd-9aaa-8eee53a00d98","resolution":{"observed_at":"2026-08-07T04:27:20.579351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.567726Z","title":"Feature shrinkage pyramid for camouflaged object detection with transformers,","venue":null,"work_id":"b063000f-bb1a-4845-9bbd-83874e65b2c0","year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.401154Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:ec4c959d8d1b7e51720c6188ff69f697d8d197a1784140245aa8a4cd2765fcc0","observation_id":"f6ec3180-bae2-4f2e-8eca-5e25db45b61e","resolution":{"observed_at":"2026-08-07T04:27:20.570749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9470.8940","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:27:20.493714Z","title":"Focusdiffuser: Perceiving local disparities for camouflaged object detection,","venue":null,"work_id":"367337b0-edfc-46e6-8e30-1dcf51d22635","year":2024},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.403684Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:5c426e8b605081f05161e98c9f6b3999d9f624eb89ed3651c215ff77e1d07d61","observation_id":"39a38e06-6ab6-4957-bb79-d81173b7e859","resolution":{"observed_at":"2026-08-07T04:27:20.499949Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T04:27:20.870957Z","title":null,"venue":null,"work_id":"1a706fc2-c4e5-4173-8f7b-f97e1f8a0ca5","year":2023},"citing_paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T04:27:20.267304Z"},"links":{"citing_paper":"/paper/2506.10712"},"observation_digest":"sha256:59800dda49e1c1acb07810a1a78a5f5602a572abf072357c21bb48fcdfda7026","observation_id":"9e3560a7-8f38-435c-ae8d-c48dc45ba509","resolution":{"observed_at":"2026-08-07T04:27:20.873434Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.10712","last_updated":"2025-06-12T14:02:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T04:17:25.330156Z","submitted_at":"2025-06-12T14:02:18Z","title":"Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement"},"reference_resolution":{"displayed":71,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":2,"verified_fuzzy":45},"total_outbound_references":71},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 4 inbound Pith citation observations for arXiv:2506.10712."}