{"as_of":"2026-08-13T22:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bcace8441523fc7f690937995c8d8131e59b0448cc3bc43c025a8fdcb4e9e9e9","coverage":[{"denominator":99,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":99,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T18:16:38.709392Z","state":"measured"},{"denominator":105,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":105,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T20:20:47.183401Z","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":"2026-07-02T20:37:22.595648Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"cited_work":{"arxiv_id":"2508.15027","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.15027","snapshot_observed_at":"2026-07-02T20:37:22.595648Z","title":"Reversible unfolding network for concealed visual perception with generative refinement","venue":null,"work_id":"45786111-99fd-441f-bc9d-e4eb1e750b66","year":2025},"citing_paper":{"arxiv_id":"2603.29773","last_updated":"2026-04-04T15:55:07Z","snapshot_observed_at":"2026-08-13T12:44:11.004748Z","submitted_at":"2026-03-31T14:13:10Z","title":"Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-14T00:07:16.009279Z"},"links":{"cited_paper":"/paper/2508.15027","citing_paper":"/paper/2603.29773"},"observation_digest":"sha256:bffcee6717debd27dfbd33ac29af216add49856352e23993f399ba689a303234","observation_id":"e6003869-cc04-4033-a13c-01e594a174cb","resolution":{"observed_at":"2026-05-14T00:08:28.720394Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"cited_work":{"arxiv_id":"2508.15027","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.15027","snapshot_observed_at":"2026-07-02T20:37:22.595648Z","title":"Reversible unfolding network for concealed visual perception with generative refinement","venue":null,"work_id":"45786111-99fd-441f-bc9d-e4eb1e750b66","year":2025},"citing_paper":{"arxiv_id":"2604.18047","last_updated":"2026-04-20T10:11:05Z","snapshot_observed_at":"2026-08-13T09:09:42.918874Z","submitted_at":"2026-04-20T10:11:05Z","title":"GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T04:46:39.643664Z"},"links":{"cited_paper":"/paper/2508.15027","citing_paper":"/paper/2604.18047"},"observation_digest":"sha256:f4ecba792f17a87bb4666482500daf73a33ea48f34eb2b35ad291333d9143756","observation_id":"14000647-618a-4ef5-804b-02b8c3833006","resolution":{"observed_at":"2026-05-10T11:40:19.548925Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"cited_work":{"arxiv_id":"2508.15027","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.15027","snapshot_observed_at":"2026-07-02T20:37:22.595648Z","title":"Reversible unfolding network for concealed visual perception with generative refinement","venue":null,"work_id":"45786111-99fd-441f-bc9d-e4eb1e750b66","year":2025},"citing_paper":{"arxiv_id":"2605.07064","last_updated":"2026-05-08T00:17:09Z","snapshot_observed_at":"2026-08-02T10:29:52.926870Z","submitted_at":"2026-05-08T00:17:09Z","title":"Learning to Track Instance from Single Nature Language Description","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-11T01:44:31.308036Z"},"links":{"cited_paper":"/paper/2508.15027","citing_paper":"/paper/2605.07064"},"observation_digest":"sha256:0a3970cf5fbdac3f522f7371b6a2fd61ffef93693fb2c3fcf16b0eebf0550452","observation_id":"07363b8d-4396-4d37-9199-dfae272b1ae6","resolution":{"observed_at":"2026-05-11T01:45:51.056369Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"cited_work":{"arxiv_id":"2508.15027","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.15027","snapshot_observed_at":"2026-07-02T20:37:22.595648Z","title":"Reversible unfolding network for concealed visual perception with generative refinement","venue":null,"work_id":"45786111-99fd-441f-bc9d-e4eb1e750b66","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":20,"source":"pdf_text","source_observed_at":"2026-05-19T15:11:55.921453Z"},"links":{"cited_paper":"/paper/2508.15027","citing_paper":"/paper/2605.15450"},"observation_digest":"sha256:0bea49f89af2e4769a3cd14fec7d3565e30773f0050fffafd2b708f47524ae21","observation_id":"31860bf0-af10-4d2a-81cd-28ce58827779","resolution":{"observed_at":"2026-05-19T15:12:37.444018Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"cited_work":{"arxiv_id":"2508.15027","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.15027","snapshot_observed_at":"2026-07-02T20:37:22.595648Z","title":"Reversible unfolding network for concealed visual perception with generative refinement","venue":null,"work_id":"45786111-99fd-441f-bc9d-e4eb1e750b66","year":2025},"citing_paper":{"arxiv_id":"2605.15803","last_updated":"2026-05-15T09:56:40Z","snapshot_observed_at":"2026-08-13T07:07:44.266339Z","submitted_at":"2026-05-15T09:56:40Z","title":"Embedding-perturbed Exploration Preference Optimization for Flow Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-20T18:33:52.933672Z"},"links":{"cited_paper":"/paper/2508.15027","citing_paper":"/paper/2605.15803"},"observation_digest":"sha256:0ada38f81e945470dbcc36e97bae89e553e9c0eea462469e52f83de1a988791e","observation_id":"a0e43fea-3b90-4412-be94-0ac77a26a75d","resolution":{"observed_at":"2026-05-20T18:38:53.024747Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"cited_work":{"arxiv_id":"2508.15027","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.15027","snapshot_observed_at":"2026-07-02T20:37:22.595648Z","title":"Reversible unfolding network for concealed visual perception with generative refinement","venue":null,"work_id":"45786111-99fd-441f-bc9d-e4eb1e750b66","year":2025},"citing_paper":{"arxiv_id":"2606.09901","last_updated":"2026-06-05T13:24:01Z","snapshot_observed_at":"2026-07-06T23:49:12.754871Z","submitted_at":"2026-06-05T13:24:01Z","title":"On the Controllability-Fidelity Frontier in Diffusion Editing","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T20:20:47.183401Z"},"links":{"cited_paper":"/paper/2508.15027","citing_paper":"/paper/2606.09901"},"observation_digest":"sha256:208b297fbd02d60d5a1f501a0c3ae6218f4b529424c10264568d9534349c9872","observation_id":"eb2a8ae0-8987-493a-bd84-6fb2bdd136a4","resolution":{"observed_at":"2026-07-02T20:37:22.597175Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.15027/citation-record","integrity":"/paper/2508.15027/integrity","json":"/paper/2508.15027/citation-record.json","paper":"/paper/2508.15027"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:16:29.029614Z","title":"Focus- diffuser: Perceiving local disparities for camouflaged object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.029614Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:74b8d30fbb44c040d2fc136e371de0357dcf02ddb9afa689cd041e18f919850b","observation_id":"cbb90bab-8fdb-4760-b034-45e41709f65f","resolution":{"observed_at":"2026-08-05T18:16:29.029614Z","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":"2026-08-05T18:16:29.084330Z","title":"Conditional diffusion models for camouflaged and salient object detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.084330Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:d871f32c0731784e1b77513443ab4342594c8af73b88179618ec57fbf86037b1","observation_id":"a28328b6-17b5-49bb-82f7-2cbafc13ca22","resolution":{"observed_at":"2026-08-05T18:16:29.084330Z","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":"2026-08-05T18:16:29.172150Z","title":"Run: Reversible unfolding network for concealed object segmentation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.172150Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:5aafb286786cfd59a65ea1f4f815a4201648bdde47c47d2027c186d2b9ae0920","observation_id":"74417e2a-4cb7-4bf2-862c-149abab6daa7","resolution":{"observed_at":"2026-08-05T18:16:29.172150Z","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":"2026-08-05T18:16:29.237630Z","title":"Camouflaged object detection,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.237630Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:8e3d8f63870527426541d57f9a8db25f9ade51147fb2e855ac24bf8be8c56e6e","observation_id":"d01efff6-d1a7-4d01-9073-1c04512a2ba1","resolution":{"observed_at":"2026-08-05T18:16:29.237630Z","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":"2026-08-05T18:16:29.307389Z","title":"Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.307389Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:e85f13257b8ac7455c0beb19efb458c92e4df2c5f07c0a5a88acc1273079f557","observation_id":"67e3ad59-5ba0-4a66-9f9e-5d5df48c2ac7","resolution":{"observed_at":"2026-08-05T18:16:29.307389Z","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":"2026-08-05T18:16:29.373655Z","title":"Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.373655Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:797b41c7c21c0289b2aae17c952464e4172ccb0555b78f7ead162589e155d5d8","observation_id":"fdb93354-993d-4852-8767-a96464e322f2","resolution":{"observed_at":"2026-08-05T18:16:29.373655Z","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":"2026-08-05T18:16:29.432523Z","title":"Image threshold segmentation based on glle histogram,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.432523Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:cf9317dee137632155a63fc37d7d856ceba4327e678c414e58b0718303abf374","observation_id":"3c1dffca-8ed8-454b-993d-cecb6d01d634","resolution":{"observed_at":"2026-08-05T18:16:29.432523Z","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":"2026-08-05T18:16:29.507825Z","title":"Camouflaged object detection with feature decomposition and edge reconstruction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.507825Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:08bac226e2aa581e994cb52d451a7ffedebbccf6360c550a6e8246fc109d52dc","observation_id":"af6d02db-d68f-498c-845b-f21f693645d4","resolution":{"observed_at":"2026-08-05T18:16:29.507825Z","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":"2026-08-05T18:16:29.575275Z","title":"A survey of camouflaged object detection and beyond,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.575275Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:5f0491c77aa13096ce74503e237263244a0059a9797065d64d3b54aa550d1df0","observation_id":"b8551ea7-b32f-49af-8cc4-62a0f057c240","resolution":{"observed_at":"2026-08-05T18:16:29.575275Z","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":"2026-08-05T18:16:29.653783Z","title":"Concealed object segmentation with hierarchical coherence modeling,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.653783Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:e516dbd09265e58282c831be0bba9d5a88c22c55360c034af551030d661b206a","observation_id":"951dfeaa-52b4-4041-9e02-1ce6bac07f1e","resolution":{"observed_at":"2026-08-05T18:16:29.653783Z","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":"2026-08-05T18:16:29.721338Z","title":"Pranet: Parallel reverse attention network for polyp segmentation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.721338Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:b28f70db7fa65932fed84abbf828394eea35f25a02b1914cfb79b90387a53d73","observation_id":"710fb6d8-1d2b-4afc-a5ab-b19f9e14258f","resolution":{"observed_at":"2026-08-05T18:16:29.721338Z","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":"2026-08-05T18:16:29.787190Z","title":"Bilateral reference for high-resolution dichotomous image segmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.787190Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:7c5a1c85d1a289c790ede6fbea01daef9d7dcf3741e5753dd6393b9fba8051a3","observation_id":"71d076b1-c863-4fdc-90ee-7b975d8c4a41","resolution":{"observed_at":"2026-08-05T18:16:29.787190Z","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":"2026-08-05T18:16:29.854476Z","title":"Segrefiner: Towards model-agnostic segmentation refinement with discrete diffusion process,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.854476Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:94e95c70948f0f9cb106d29069dce2393a6549870cb7a85d0fc30f9dc87bf22c","observation_id":"a4c0615e-9130-4af7-acf7-c2a406fafb11","resolution":{"observed_at":"2026-08-05T18:16:29.854476Z","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":"2026-08-05T18:16:29.931803Z","title":"Degradation-resistant unfolding network for heterogeneous image fusion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.931803Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:20c3b9849f5a59be508eb055ec6917d57ccb767a7c4d8238af1f6531a45a2cac","observation_id":"1a8364d0-9853-47f1-b7fe-e2fe1b8b397d","resolution":{"observed_at":"2026-08-05T18:16:29.931803Z","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":"2026-08-05T18:16:29.997777Z","title":"Real-world image dehazing with coherence-based pseudo labeling and cooperative unfolding network,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:29.997777Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:120cb1abbd312a8291888a6936906abb9f941c91d1acefdec054e3efee5879f4","observation_id":"29ac5fbc-1069-47b4-ba75-06e8d0eae2f6","resolution":{"observed_at":"2026-08-05T18:16:29.997777Z","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":"2026-08-05T18:16:30.062109Z","title":"Optimization of lipschitz continuous functions,","venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.062109Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:d0bac28518bc93e4277a4173649adad8a3dd3e21bc0a9663c028352b04928780","observation_id":"9fb66dda-77d8-4611-8f44-e10b265d8551","resolution":{"observed_at":"2026-08-05T18:16:30.062109Z","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":"2026-08-05T18:16:30.149309Z","title":"Vmamba: Visual state space model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.149309Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:7fba45e8eac715d25fe38c10fd6736fc11d0e01b3543415d9d287e394aa34d2b","observation_id":"4e862d84-69db-4103-b1e2-99abad5fbc7e","resolution":{"observed_at":"2026-08-05T18:16:30.149309Z","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":"2026-08-05T18:16:30.220407Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.220407Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:4000339569e16331e7b2cb30b7a52a49c8b31cf34309e1138380f2bceed180cd","observation_id":"29beb3b5-a090-46c8-bb7e-57413dfa9745","resolution":{"observed_at":"2026-08-05T18:16:30.220407Z","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":"2026-08-05T18:16:30.329322Z","title":"Hqg-net: Unpaired medical image enhancement with high-quality guidance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.329322Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:441e27cdf4e04c47fa6db6ae2b38b3d13043b3adb304d39aeea48bede3174c37","observation_id":"c861b104-ea6d-43f5-a14e-529b8bf0fdaf","resolution":{"observed_at":"2026-08-05T18:16:30.329322Z","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":"2026-08-05T18:16:53.254532Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics,","venue":null,"work_id":"a7ae7ba0-23dc-4d0c-aa71-0e1f972b01de","year":2015},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.372953Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:88480365c7bcbf789d869fec5037bc95028ff55bfae8fe0a235ad9b5b8ccd184","observation_id":"b4976960-1e38-40ae-84fd-d1d548768812","resolution":{"observed_at":"2026-08-05T18:16:53.336490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:53.081332Z","title":"Segment concealed object with incomplete supervision,","venue":null,"work_id":"fb1225ef-c122-4c33-98e6-8dc36035b38f","year":2025},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.455387Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:aed9d84f1fe6cbb9bc6f36ffc5b372c07ede84f987ce34bc3080e921f2e9c7a3","observation_id":"dd7efb8e-8a7f-45e8-8fb6-1d21ebb8b48a","resolution":{"observed_at":"2026-08-05T18:16:53.157083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:52.939745Z","title":"Uncertainty-guided transformer reasoning for camouflaged object detection,","venue":null,"work_id":"a8097d51-df2f-40e4-bd41-4ec434714020","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.529719Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:102572606715a07f480783a4262d97f2b8558d93f2c2dbf98f58d759024d95d5","observation_id":"85c7f3ef-664a-4add-9000-a3f442763e65","resolution":{"observed_at":"2026-08-05T18:16:52.991111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:52.769233Z","title":"Auto-encoding variational bayes,","venue":null,"work_id":"6f9ceff5-6230-48d3-8cb6-66e2f7437467","year":null},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.606204Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:cf9f0b46a8765c585baed6f082ee3acbf900694297d1fbe414254a18861d9e4f","observation_id":"088d60bf-be40-42b4-8cc3-a1d21313d9ff","resolution":{"observed_at":"2026-08-05T18:16:52.850913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:52.602667Z","title":"Argmax flows and multinomial diffusion: Learning categorical distributions,","venue":null,"work_id":"8504ed2a-79f2-4904-bd3a-38498e52a0e5","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.666319Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:d55962db04d1bd66df92d5a37cd9ff9a2e948f2dc769b110aaabbb5c7a3d3577","observation_id":"a6521ea6-987d-4728-bfff-b8ac405916fa","resolution":{"observed_at":"2026-08-05T18:16:52.686027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:52.422195Z","title":"Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model,","venue":null,"work_id":"0503d408-203d-407d-bb55-fa255c484a05","year":2025},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.755278Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:2ce5392af3b76a9617371914cacbe381a33d49181c8a4962ad23794546b84ebd","observation_id":"8d9684ba-4634-4c08-bc81-b7d970940f7c","resolution":{"observed_at":"2026-08-05T18:16:52.493785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09294","last_updated":"2025-03-12T11:39:51Z","snapshot_observed_at":"2026-08-09T02:58:54.689735Z","submitted_at":"2025-03-12T11:39:51Z","title":"IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.09294","snapshot_observed_at":"2026-08-05T18:16:30.841781Z","title":"Iqpfr: An image quality prior for blind face restoration and beyond,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.841781Z"},"links":{"cited_paper":"/paper/2503.09294","citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:84eacf25c0a81a1a5f31b96cb4f87b6525478ffa0d17474a899c528f151fdb45","observation_id":"9d6018c9-fc16-47b6-8586-05c99fc37f6d","resolution":{"observed_at":"2026-08-05T18:16:30.841781Z","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":"2026-08-05T18:16:52.258800Z","title":"Diffir: Efficient diffusion model for image restoration,","venue":null,"work_id":"97b7a1d7-8520-47c8-ac67-6fe571e156e4","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.902145Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:73ffff424f1ea695a4c4a45c9d0344ab72dc21d02be330d8ab301f4c85c6fb6d","observation_id":"948680d4-db34-44e1-9a65-f978308a40ac","resolution":{"observed_at":"2026-08-05T18:16:52.333725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:52.075275Z","title":"Simultaneously localize, segment and rank the camouflaged objects,","venue":null,"work_id":"0c6cf158-34e1-4976-9abb-2bc4daf4d44f","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:30.990152Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:3c95c37e1b866c71e4df0d30e86668dd3ffa8829f0c1165a65aff119efc51678","observation_id":"8206b7f5-b142-4432-9b95-494fc5b893c2","resolution":{"observed_at":"2026-08-05T18:16:52.186362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:51.900928Z","title":"Exploring figure-ground assignment mechanism in perceptual organization,","venue":null,"work_id":"6311440c-99ad-4c65-a6ce-6fbd93cd4e55","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.066357Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:c316e2f11a3c4fafff329bbfa52df8213dde97e9546db9650c5bf5eb6604b80c","observation_id":"cab6564a-b2ae-4428-b596-498821a3333b","resolution":{"observed_at":"2026-08-05T18:16:51.967954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:51.782327Z","title":"Frequency-spatial entanglement learning for camouflaged object detection,","venue":null,"work_id":"8457b3b3-e691-4618-8e7b-b23e6e308dec","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.160552Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:f44efcd0dea8b8036dbc9ec5c53db12d9ee192bc33501d20a43cbe1e3931aaa4","observation_id":"3fbc7920-1e31-465e-8dba-f1a9ee9d1299","resolution":{"observed_at":"2026-08-05T18:16:51.834375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:51.653837Z","title":"I can find you! boundary- guided separated attention network for camouflaged object detection,","venue":null,"work_id":"e00ff9ea-02a1-42b7-9a8c-54f1989f48b7","year":2022},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.214489Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:9dd74449b09eabc3e49d2f4aa9a4633691aba9f85f25be3638692a920cda04c2","observation_id":"37aec6dc-8ae3-45f8-8bd4-bccf7807816c","resolution":{"observed_at":"2026-08-05T18:16:51.697981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:51.474981Z","title":"Camofocus: En- hancing camouflage object detection with split-feature focal modulation and context refinement,","venue":null,"work_id":"8053c511-d2e8-4a96-b836-3ef90567943f","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.325995Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:c867e010578e931f2c3b61f79a3874be3b3cbb8cd4c5f226d0f53ce5196caa33","observation_id":"99164d47-c425-4152-854c-c8e4d1bb9818","resolution":{"observed_at":"2026-08-05T18:16:51.566753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:51.321681Z","title":"Zoom in and out: A mixed-scale triplet network for camouflaged object detection,","venue":null,"work_id":"95cb43da-6eb7-4ab1-b4d5-e58e2b46921f","year":2022},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.350505Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:4345dd71b32b2db83394dd0dd5c02612dad17812ffbef68cf026b7f0ab075dea","observation_id":"76ac6b03-c15e-40bb-95ce-42dce6f68f45","resolution":{"observed_at":"2026-08-05T18:16:51.360123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:51.181368Z","title":"Zoomnext: A unified collaborative pyramid network for camou- flaged object detection,","venue":null,"work_id":"7f20c5e9-d050-4f88-b58b-acb0fce5dd00","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.416364Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:425899845a1d3791f2d420b3e711a10d7c146d255827cbd2b3146da2a3d56d4e","observation_id":"0dd0e0f0-8b97-4d84-8c24-3c9c33b76b24","resolution":{"observed_at":"2026-08-05T18:16:51.244354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:51.012448Z","title":"Segment, magnify and reiterate: Detect camouflaged objects hard way,","venue":null,"work_id":"3a1286f7-073b-4c2d-86b7-e54cd035c84e","year":2022},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.515739Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:b8e5e13d0f3e4084aebb5288418a13c36ee710b365e0b64ecac51c4d12d48153","observation_id":"2874a214-ebad-49fc-8dfe-b1aa67bf6101","resolution":{"observed_at":"2026-08-05T18:16:51.095963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:50.836759Z","title":"Target- aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection,","venue":null,"work_id":"9fa65e94-f4d1-4ec6-96b9-bfe544bbb3e3","year":2022},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.588000Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:f275e3acdac4dbbf307b23b530e9313aaa8b4d7011ea295a1ed95e1c3a09edd0","observation_id":"6cde9944-2001-44f1-aa8f-16f8f7a13407","resolution":{"observed_at":"2026-08-05T18:16:50.927342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:50.658253Z","title":"Bilevel optimization with nonsmooth lower level problems,","venue":null,"work_id":"7fdfb8b3-0412-4bc7-a2f1-8d2843f2896c","year":2015},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.657638Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:69142f209559faa334bbf4a54fb15aeec8189434893ca06b8d062908d648786a","observation_id":"aee2c253-f62c-4205-99fc-556d048fa2f7","resolution":{"observed_at":"2026-08-05T18:16:50.730117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:50.481153Z","title":"Medical image segmentation via cascaded attention decoding,","venue":null,"work_id":"7245ef91-e9b0-4cc7-8764-de149a2775b0","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.713119Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:16601e4473ff53854662db9bb0bc8aa1377f0fe831ae4da0c5cc1c5dc208ecce","observation_id":"fcf31dd3-6457-4b11-b762-d03dbeba11bd","resolution":{"observed_at":"2026-08-05T18:16:50.566338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:50.319686Z","title":"Polyp-pvt: Polyp segmentation with pyramid vision transformers,","venue":null,"work_id":"7d37e066-4b82-426c-9c61-05c4240c2df5","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.749368Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:c30c83af56109490cba2eff1561fe8e6b97bbcef89572ebdf284766a76c18093","observation_id":"aa7ae76f-9a28-4d30-802d-7fbe5eeb7497","resolution":{"observed_at":"2026-08-05T18:16:50.391231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:50.148791Z","title":"Coinnet: A convolution- involution network with a novel statistical attention for automatic polyp segmentation,","venue":null,"work_id":"ff1118cf-c956-4680-98bd-d4f1bfd1681a","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.848351Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:9de4676951103fd70e03ba244a41e6c9372035ba472e64b26c8cfc04ce3e1669","observation_id":"fba6173e-a189-4819-90ed-175c6d4c56cc","resolution":{"observed_at":"2026-08-05T18:16:50.201188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:50.017073Z","title":"Lssnet: A method for colon polyp segmentation based on local feature supplementation and shallow feature supplementation,","venue":null,"work_id":"a174b82e-2d35-4911-830c-87f8189e6210","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:31.976404Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:1bb39127b74d200177b7795cee95c94a49390b994158f8abaa73f461b35fb5b9","observation_id":"d08b52cb-2d5e-4abd-890d-860aebf70c1f","resolution":{"observed_at":"2026-08-05T18:16:50.067079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:49.867653Z","title":"Cs2-net: Deep learning segmentation of curvilinear structures in medical imaging,","venue":null,"work_id":"8e526497-5357-498d-806f-ef0bbd9cb0f1","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:32.124848Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:48e5e417dda06e98b07f7673d3c4ab56e9f706d0a927d020277340cb79937827","observation_id":"1d7b6cbd-e6bc-41cc-acfd-b036d9299992","resolution":{"observed_at":"2026-08-05T18:16:49.932649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:49.723176Z","title":"Dynamic snake convo- lution based on topological geometric constraints for tubular structure segmentation,","venue":null,"work_id":"43c86346-3ee2-4a7c-bb45-818aefe10d8f","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:32.305644Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:f7dcc972a9183854982939e11b1e830c70528cabd3912f3de79e7735c79c8d40","observation_id":"fbbbc088-2d68-4ad5-9682-c8420ab7e42b","resolution":{"observed_at":"2026-08-05T18:16:49.783617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:49.554234Z","title":"Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images,","venue":null,"work_id":"ac659cbf-34ba-4c10-99e6-be4975e5d254","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:32.481816Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:742a92efa5a7491bf26a8aee0ad85c0cb02b922719c88964fdacb74ecd3a1b72","observation_id":"868d48ef-0c79-4f30-944e-d538ceed1ec3","resolution":{"observed_at":"2026-08-05T18:16:49.654041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:49.406611Z","title":"Topology-aware uncertainty for image segmentation,","venue":null,"work_id":"69fdb60e-f4c5-4fd9-b3c7-fa4bf0475b83","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:32.633900Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:ac3edd7b4152809042c468e1522d98c14d2c78bc5e5fb3947e4c3a29f11b150b","observation_id":"b5187e9f-f820-4c2b-a5fc-d95d0501b0b2","resolution":{"observed_at":"2026-08-05T18:16:49.472752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:49.219751Z","title":"Represent- ing topological self-similarity using fractal feature maps for accurate segmentation of tubular structures,","venue":null,"work_id":"ac45ded7-6010-408f-a9ce-199b7b59a28e","year":2025},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:32.777198Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:d29f690dba13bafd823967f32d8bde822c9d404b362946f5bf8596d9b1120b4f","observation_id":"44234c59-a72c-4071-8519-d6b81a41d4b9","resolution":{"observed_at":"2026-08-05T18:16:49.311996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:49.098351Z","title":"Animal camouflage analysis: Chameleon database,","venue":null,"work_id":"c668e624-4872-48af-aa95-722a0c47ec0c","year":2018},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:32.853704Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:b5e597024390d66015b512f3f764e6f9caad8588a24bb8b264dc29b8229e6af9","observation_id":"62d254a8-3fd6-4db9-b866-473ffc2474dc","resolution":{"observed_at":"2026-08-05T18:16:49.163082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:48.918907Z","title":"Anabranch network for camouflaged object segmentation,","venue":null,"work_id":"fbe69d54-0954-48a7-9ed7-893115acfaa9","year":2019},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:32.954692Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:58f9fb31760535f30236ddde4ef4112ef6a7c18f339b95163f92749a05e3de25","observation_id":"9f1f8a54-af91-477a-a5ec-c5d1fb96a650","resolution":{"observed_at":"2026-08-05T18:16:49.015807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:48.744830Z","title":"Concealed object detection,","venue":null,"work_id":"5fd5269a-7bf8-4a2a-afdb-e7a6b571db39","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:33.035720Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:dad95ed413b6f17dc2bd9370475847845438f37eb787f1f1b9168eb10bdc781f","observation_id":"6d852597-461c-403c-a764-61e6d7c20c0d","resolution":{"observed_at":"2026-08-05T18:16:48.815874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:48.588995Z","title":"How to evaluate foreground maps?","venue":null,"work_id":"e3876292-fce0-4252-b762-69a1ecb9e15b","year":2014},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:33.136178Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:937d8029814c2f4873bf71f47678abba0381a9b8ce7af44f57012d2a753a83ed","observation_id":"58af48ff-f3da-48a1-96fd-a23b4a57a50d","resolution":{"observed_at":"2026-08-05T18:16:48.659019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:48.419045Z","title":"Cognitive vision inspired object segmen- tation metric and loss function,","venue":null,"work_id":"dc3e5663-b18c-46c5-b8f0-f26f18c95b93","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:33.224479Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:cede5bf39e39ff0579483e3dcc3d27843a90bbdaee4c55f4d238f320e7d6291e","observation_id":"4b958a96-0582-467d-93e1-dc9366561335","resolution":{"observed_at":"2026-08-05T18:16:48.503703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:48.292775Z","title":"Structure-measure: A new way to evaluate foreground maps,","venue":null,"work_id":"075f827c-7159-4341-b1ad-f69e14405913","year":2017},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:33.375331Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:c66deeb8d61fb586f6d1511a9a22b521eee8809b7610af8cfcc1172d710ae8ae","observation_id":"20018e53-6cd8-4efc-8e84-35f30b971ba0","resolution":{"observed_at":"2026-08-05T18:16:48.351337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:48.149520Z","title":"Res2net: A new multi-scale backbone architecture,","venue":null,"work_id":"a133100e-31ae-41e2-81f3-491c4b77f113","year":2019},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:33.498029Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:ec0b8fed276b88f9c759adaeb9fa71625845ee6e16cfff3be5dc02d1248a35cd","observation_id":"b7eb99ff-545d-41fa-8be7-3da0cba326c4","resolution":{"observed_at":"2026-08-05T18:16:48.226029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:47.970516Z","title":"Pvt v2: Improved baselines with pyramid vision transformer,","venue":null,"work_id":"81735a26-eb34-489c-b5e5-46f3fe1c766c","year":2022},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:33.598325Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:04c8522fb813fda86d900752798795a6ef683c22b410ca6e4a40b493b4e286e7","observation_id":"807c32a7-3814-4177-ba43-91c02f47991b","resolution":{"observed_at":"2026-08-05T18:16:48.071064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:47.781549Z","title":"Don’t hit me! glass detection in real-world scenes,","venue":null,"work_id":"5df9a8d9-bc4b-4a97-840b-cb7b9ce48f49","year":2020},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:33.758553Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:db655a5f9e9f5178c45c985ebb90a183e24f0ca8d2d2bf8a6a8e650666d0c256","observation_id":"ea0744b5-7282-42ec-88cf-de9081b1e0c3","resolution":{"observed_at":"2026-08-05T18:16:47.877031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:47.576800Z","title":"Enhanced boundary learning for glass-like object segmen- tation,","venue":null,"work_id":"78bbe9c8-7b8b-495d-9030-828e723810e0","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:33.932342Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:bec14d40e9e0ed7b42ff508dbd57f97d6bcbdbc0a20ec6078c3b53b1a8f06c49","observation_id":"2461c1f3-03ef-4743-b9d0-06a65bb3fdf0","resolution":{"observed_at":"2026-08-05T18:16:47.680449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:47.386481Z","title":"Rfenet: towards reciprocal feature evolution for glass segmentation,","venue":null,"work_id":"a3e75760-27ea-466d-9f80-5540ad7b9083","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:34.048508Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:0dcafffa1e9066d3ed2e197259505119b7bd3cf0a04ed4bb73b8f62664414132","observation_id":"9b4cdb5c-4344-4ef6-8862-ca5a60aeaf5e","resolution":{"observed_at":"2026-08-05T18:16:47.480884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00212","last_updated":"2024-03-04T05:12:26Z","snapshot_observed_at":"2026-08-13T11:04:45.291216Z","submitted_at":"2023-07-01T03:30:55Z","title":"Internal-External Boundary Attention Fusion for Glass Surface Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00212","snapshot_observed_at":"2026-08-05T18:16:34.216499Z","title":"Internal-external boundary attention fusion for glass surface segmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:34.216499Z"},"links":{"cited_paper":"/paper/2307.00212","citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:b4ecf4f4a404ed3087ae1b9f8a6a81935e9594a9b9142fa93d6e31a4c6481f63","observation_id":"33df02ef-1d74-40b5-a804-8f1e09c1f892","resolution":{"observed_at":"2026-08-05T18:16:34.216499Z","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":"2026-08-05T18:16:47.219100Z","title":"Ghostingnet: A novel approach for glass surface detection with ghosting cues,","venue":null,"work_id":"38e14669-f14e-4cf1-8983-55a2804edd19","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:34.362647Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:71b369170a2ef459cc90c118f295790c5812712e4c2ddff0a1951fcacca1b5d9","observation_id":"27d5d378-d35b-44d6-a982-6ef74bac62d5","resolution":{"observed_at":"2026-08-05T18:16:47.295241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:47.001189Z","title":"Automated polyp detection in colonoscopy videos using shape and context information,","venue":null,"work_id":"7b9e6d6c-6e06-4e3e-904b-048e29e9ca7b","year":2015},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:34.511261Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:d3d71daafec950f0d969180e0e0f014ff938b383d18dede2747e1dcf5bca689b","observation_id":"8fe7fe9e-4a59-4124-95a2-0ac11db7c1cd","resolution":{"observed_at":"2026-08-05T18:16:47.104916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:46.810823Z","title":"Toward embedded detection of polyps in wce images for early diagnosis,","venue":null,"work_id":"05f218f8-d0d0-4a66-b028-7f624c2b081a","year":2014},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:34.686508Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:b6cee189654a7696b35db8ae3060739fb87da16dd7e660173685a285bf07e2d4","observation_id":"a1d74459-b7e3-4f42-9bed-d39617239f9c","resolution":{"observed_at":"2026-08-05T18:16:46.901163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:46.645364Z","title":"Struc- ture and illumination constrained gan for medical image enhancement,","venue":null,"work_id":"fcefaab3-f4f4-4676-849d-49af030c91cb","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:34.808167Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:f763490b5242de1d09ebb5c74fd6a072fab34d3343e2d772cf0ce05f73ef3c50","observation_id":"98de579f-c16e-49eb-a95b-cf16bf53920d","resolution":{"observed_at":"2026-08-05T18:16:46.727870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:46.469502Z","title":"High-resolution iterative feedback network for camouflaged object detection,","venue":null,"work_id":"d2d0e814-6b8c-44a2-8b9f-3821aafac84b","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:34.922976Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:2cd01fa7bbf97d69edc4ded6d331a54fbf504eff1542c3b7b09fd972ac445a3f","observation_id":"5e1c064c-855b-4bf9-a61d-50b6e7421464","resolution":{"observed_at":"2026-08-05T18:16:46.543174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:46.279552Z","title":"Camoformer: Masked separable attention for camouflaged object detection,","venue":null,"work_id":"825ad7bb-4d03-4edf-a216-2d8ca0bea88e","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:34.993684Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:5fa44de426f3f98d2a7f9a16d9a6a65066766fb769e238578396c55d710ac6b9","observation_id":"148b95a3-e844-4582-bba2-3b35119da8ea","resolution":{"observed_at":"2026-08-05T18:16:46.367958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:46.087618Z","title":"Oaformer: Occlusion aware transformer for camouflaged object detection,","venue":null,"work_id":"0b3a1e05-c82f-4671-98dc-1f25fa5d9db1","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:35.085297Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:26c3156c03ebd6c93e047ae3e1ba40f2c7aed68f819eb60d02ce40821cdde6ef","observation_id":"39263e13-adf8-49ae-a44f-d458b55c0fe9","resolution":{"observed_at":"2026-08-05T18:16:46.174735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:45.860632Z","title":"Sam-adapter: Adapting segment anything in underperformed scenes,","venue":null,"work_id":"a478e5a5-25dd-495e-86e3-709fe4fb8d5d","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:35.170540Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:feb1f76a796f367aacad52308f6ac01983582f115919a3e5c5b6a2336f38a5c2","observation_id":"c85abb48-162a-40f1-a91b-c5fb1bfd3add","resolution":{"observed_at":"2026-08-05T18:16:45.958397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:45.612809Z","title":"Weakly-supervised camouflaged object detection with scribble,","venue":null,"work_id":"921f14a4-944d-4ecb-b9a3-6402e56e177c","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:35.259986Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:d2fbb1f1a29e1213a1b85c20df482424b5489e633ac4fd0a556179cde6f1cf28","observation_id":"7c31d888-f1bb-4efe-9fc0-5c5e9f131951","resolution":{"observed_at":"2026-08-05T18:16:45.721085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:45.334078Z","title":"Relax image-specific prompt requirement in sam: A single generic prompt for segmenting camouflaged objects,","venue":null,"work_id":"b22f3985-7ae2-4da8-80cb-bfe5bface4b5","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:35.366331Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:17bedd6783092cbd15d88e8af73205654c88ae7bb590e9516699a776cb66784e","observation_id":"f1b291ff-084a-4d45-841d-63f2d6e50e27","resolution":{"observed_at":"2026-08-05T18:16:45.474646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:45.063745Z","title":"Pseudo-label guided contrastive learning for semi- supervised medical image segmentation,","venue":null,"work_id":"7329c02c-0a4f-45b8-b672-a5368e6257ca","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:35.481425Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:57699511f0b390fe4d3035d426ba5231707e1dee5423520400c43a219476c14f","observation_id":"2d2cbb5d-0c05-4f17-b6b1-eba7a9af99b1","resolution":{"observed_at":"2026-08-05T18:16:45.213695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:44.840183Z","title":"Saliency as pseudo-pixel supervision for weakly and semi-supervised semantic segmentation,","venue":null,"work_id":"0ab4e827-f921-4c33-a729-e7ee468106dd","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:35.615841Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:40922b6b9eda7b61781ae022222595f49d9b47bfb6cec352787acefa46115127","observation_id":"f3d324cf-35ca-48e2-8925-22ef46bd574e","resolution":{"observed_at":"2026-08-05T18:16:44.936043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:44.603714Z","title":"Unsupervised and semi-supervised co-salient object detection via segmentation fre- quency statistics,","venue":null,"work_id":"a686fa2a-63e0-4125-b551-451f1effc183","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:35.693745Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:2ce76db16b3f357deb26ff0011aff1debada0f841349b031159058e2c8036168","observation_id":"6f51dd34-5c49-4e27-8756-f3a0563b8bee","resolution":{"observed_at":"2026-08-05T18:16:44.717404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:44.394618Z","title":"Source-free depth for object pop-out,","venue":null,"work_id":"0041008e-5dad-48fa-82f7-10c9f10c4811","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:35.844453Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:3fe57abf27cede97832d131bc449650b6827b08dfdec8a9737aa4ac6b8887ac3","observation_id":"c9c3cede-3810-4259-80db-2b023475433e","resolution":{"observed_at":"2026-08-05T18:16:44.499096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-05T18:16:35.967069Z","title":"Integrating extra modality helps segmentor find camouflaged objects well,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:35.967069Z"},"links":{"cited_paper":"/paper/2502.14471","citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:3f992e750f4e916f7c8b3af30d48ffb0ecffcd168c48ae26121a7491ab4f2146","observation_id":"03cd4c78-fa6e-4682-aa51-ba7cc04bccb5","resolution":{"observed_at":"2026-08-05T18:16:35.967069Z","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":"2026-08-05T18:16:44.160813Z","title":"Specificity- preserving rgb-d saliency detection,","venue":null,"work_id":"84abf404-4a72-4b7e-b867-81836742912b","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:36.038426Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:d66eac82968da11433b0c38df72051229c020633e34578730e1262eef1029008","observation_id":"88bad39a-612c-4425-afe9-058aa7c7204c","resolution":{"observed_at":"2026-08-05T18:16:44.260164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:43.807776Z","title":"Spsn: Superpixel prototype sam- pling network for rgb-d salient object detection,","venue":null,"work_id":"8b3be780-1340-4f36-af7b-0d84c73223bc","year":2022},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:36.161819Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:bc64f69e4b4e584b04535e3d9b40030c2965102bf48827460b5804d1e0cc4191","observation_id":"90abc8b5-e9ca-4296-8498-530946148652","resolution":{"observed_at":"2026-08-05T18:16:43.954849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:43.463648Z","title":"Exploring deeper! segment anything model with depth perception for camouflaged object detection,","venue":null,"work_id":"f012e5ba-2e78-4d86-bee8-a0a259e64f71","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:36.256306Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:73e8ba3b085e83e50046b7337e657401e651afadf6800a55ab361e7b885ad405","observation_id":"52a1fadb-dd43-4df0-a068-39cd695ba443","resolution":{"observed_at":"2026-08-05T18:16:43.660506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:43.254307Z","title":"Advances in deep concealed scene understanding,","venue":null,"work_id":"6628b660-39c3-4ad6-a3a1-8d1748f22e08","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:36.363526Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:d54dc2316a05e6963cf87f00ad0b147832992a2f435154b8cb550e14a23a542b","observation_id":"f003c0e8-852d-44d8-b8fa-a5c693f59375","resolution":{"observed_at":"2026-08-05T18:16:43.326742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:43.042926Z","title":"Progressively normalized self-attention network for video polyp seg- mentation,","venue":null,"work_id":"d6d90963-1f04-49bc-9899-2f90fc373cd5","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:36.446161Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:b28ff0d29a38b9181c8f208997e2ee5e3915c07661cfbc854dc94a0eb84a369d","observation_id":"9d24d3fc-c803-41de-b1ae-9a499772af81","resolution":{"observed_at":"2026-08-05T18:16:43.160137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:42.965367Z","title":"Self- supervised video object segmentation by motion grouping,","venue":null,"work_id":"fe6a8cf7-a3cb-4b8c-b7ff-c2bcbba5957c","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:36.591106Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:e4b08ecd45236466e0187b92fe8e7a8031e3eab6d83776139cc80219687b7779","observation_id":"e3732460-266d-4752-8c3d-68e3c9847f94","resolution":{"observed_at":"2026-08-05T18:16:43.027843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:42.782175Z","title":"Implicit motion handling for video camouflaged object detection,","venue":null,"work_id":"663ddb23-e181-4b4e-a86e-aa69f4647ab4","year":2022},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:36.686317Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:f1b5ac7a72ad3d767b06088d5c46209fa0f121704357cd09213cdf668d42170f","observation_id":"9b30a764-66ab-4230-b268-67a87d1e1940","resolution":{"observed_at":"2026-08-05T18:16:42.849511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:42.580244Z","title":"It’s moving! a probabilistic model for causal motion segmentation in moving camera videos,","venue":null,"work_id":"66556f62-f059-41aa-ac0d-ab10bca3c31c","year":2016},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:36.805497Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:1eb1c6a09cef88ded347fd766e0ddb1085eed828a99c33f118315983f6c5e78b","observation_id":"cc154638-9d89-4204-b4d2-7e7964307d65","resolution":{"observed_at":"2026-08-05T18:16:42.677751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:42.313655Z","title":"Efficient inference in fully connected crfs with gaussian edge potentials,","venue":null,"work_id":"d9e0fbd4-2b34-45ef-a7e2-ae683159778c","year":2011},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:36.901311Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:42f036d3133af3399953f03e591e92d8e9aa190db7f039c092ca0b2adea86c80","observation_id":"d466a049-43e6-471a-a8e9-e0f8a93e4885","resolution":{"observed_at":"2026-08-05T18:16:42.479877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:41.996548Z","title":"The fast bilateral solver,","venue":null,"work_id":"ba72440f-ca90-4d26-93f6-4e947d0eeeba","year":2016},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.010596Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:424b4eb609a7c543d48a1b9033bf6e9201cf51511a71eaa6281eca8bbb5cadda","observation_id":"224af593-9de1-4243-ab79-95670bad1faf","resolution":{"observed_at":"2026-08-05T18:16:42.138066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:41.725311Z","title":"Samrefiner: Taming segment anything model for universal mask refinement,","venue":null,"work_id":"135a49cb-c8a6-447f-ab9e-0a4df17fcab2","year":2025},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.106124Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:15bcd7127c081983c46286507e4d13717960048846fc828471d433bb66b6c48f","observation_id":"df6ee7fc-2287-4f8c-8b3a-c89a11e5820a","resolution":{"observed_at":"2026-08-05T18:16:41.839348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:41.540259Z","title":"Visual saliency transformer,","venue":null,"work_id":"84b589bd-1e8b-4f08-81ca-942d0c7cca68","year":2021},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.226081Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:46b77639ea8097837eaf0be2a1a2cf7d5bc33afa2d796fd9ce863ad967f0e512","observation_id":"c11d6856-6b4f-44bf-b2a6-1f0146279d5d","resolution":{"observed_at":"2026-08-05T18:16:41.634903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:41.363997Z","title":"Salient object detection via integrity learning,","venue":null,"work_id":"ede44289-53b8-478d-b181-1c65a741daae","year":2022},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.316083Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:d549b2182fc81eb58039a3c2f483c3f575a9c47ecef7d45defb967c748ddb914","observation_id":"0bc0a2de-a32f-4cca-b8f4-4c08d4827f5a","resolution":{"observed_at":"2026-08-05T18:16:41.454027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:41.154330Z","title":"Pyramid grafting network for one-stage high resolution saliency detection,","venue":null,"work_id":"2d5005ee-7472-4a02-9d19-1a528b27bf49","year":2022},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.384778Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:1fdaf13c33b92dcaaddfbd26b046ad7f40dd715015cd13f7f51a885ab8bed5cd","observation_id":"f605393b-bf74-43c2-a30f-d1d64548b770","resolution":{"observed_at":"2026-08-05T18:16:41.254335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:40.880127Z","title":"Pixels, regions, and objects: Multiple enhancement for salient object detection,","venue":null,"work_id":"d055f18a-31eb-4aef-a3b3-03488cd974f0","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.525487Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:e080db93af37200943539d221592036f1c023ba29ef286e3a91052e14f2cf42e","observation_id":"68609bc0-0763-486f-a5a8-e15b7dab43ec","resolution":{"observed_at":"2026-08-05T18:16:41.002689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:40.618941Z","title":"Recurrent multi-scale transformer for salient object detection,","venue":null,"work_id":"9b1ef409-8658-4d25-96b3-2b49b1a0d27b","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.676930Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:a938b24636353bae0fec0040b7e757a5d8de332cde8fa1e010614b8fbc611444","observation_id":"a5e5b3e4-7189-4937-8297-dfd3e69f00f5","resolution":{"observed_at":"2026-08-05T18:16:40.748615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:40.372644Z","title":"Gponet: A two-stream gated progressive optimization network for salient object detection,","venue":null,"work_id":"c75f4a6c-93e4-4960-9529-d8be3a74c9a2","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.759540Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:2692cfa6a8871815048bb152be5a25d0fefc6e48ba0e9fc4fa8fe48d3227ea09","observation_id":"16e3e006-d7f9-4159-b776-b0865c9a6457","resolution":{"observed_at":"2026-08-05T18:16:40.474947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:40.159412Z","title":"Efficient and stronger visual saliency transformer,","venue":null,"work_id":"7cc0452e-d758-4e99-8b51-a32dce15bc61","year":2024},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.864920Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:0275f5b269ed4f4a3fc5b5d6211a1e2f1ff6b44b9c8680636ec55c779d002505","observation_id":"4d27e907-5d1f-4d45-8e7e-cf89866ac368","resolution":{"observed_at":"2026-08-05T18:16:40.267465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06683","last_updated":"2025-05-10T16:13:01Z","snapshot_observed_at":"2026-08-07T15:48:12.901010Z","submitted_at":"2025-05-10T16:13:01Z","title":"UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.06683","snapshot_observed_at":"2026-08-05T18:16:37.994325Z","title":"Unfoldir: Rethinking deep unfolding network in illumination degrada- tion image restoration,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:37.994325Z"},"links":{"cited_paper":"/paper/2505.06683","citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:0069cff7bbd672c728bf1ed985e2769a8f20de448bccb57c27f36c84983b2ede","observation_id":"f84d4bd0-2592-49ce-9b63-184056a30dc6","resolution":{"observed_at":"2026-08-05T18:16:37.994325Z","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":"2026-08-05T18:16:39.917913Z","title":"Getting to know low-light images with the exclusively dark dataset,","venue":null,"work_id":"2addfe7d-1e47-42bc-a28a-5b69dc03f5cb","year":2019},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:38.075382Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:8f1153e582c8fc098244391efffe1909112216dabd442ae0cff9c7d832461d8d","observation_id":"380d5b8c-7b65-40eb-849e-ba7d7d899402","resolution":{"observed_at":"2026-08-05T18:16:40.024448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:39.686873Z","title":"Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model,","venue":null,"work_id":"3b99040c-f7b3-4c88-b38b-72cfb26f49cc","year":2023},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:38.218894Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:9afb3eac13acc40f0b62db6ed0e7f6cff5c9d5cff83067dca5d4dabf45161860","observation_id":"5936944c-acca-424f-9383-e8db9e460d7d","resolution":{"observed_at":"2026-08-05T18:16:39.786545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:39.566530Z","title":"Saliency detection via graph-based manifold ranking,","venue":null,"work_id":"aaf22685-2939-4066-93b3-4cbf5f8aa2f8","year":2013},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:38.326132Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:f7c4a2d9270dd34c904ce09fdb636cc727f6a7fdca1e79cc44c53a92c271d662","observation_id":"811f2e93-8818-4dd1-948b-c513b9a8197f","resolution":{"observed_at":"2026-08-05T18:16:39.643804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:39.396371Z","title":"Learning to detect salient objects with image-level supervision,","venue":null,"work_id":"c8729aa2-6d4d-4808-bf5b-9862a1aaa9fe","year":2017},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:38.428066Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:130917a8286a97f24ad77a5c03d2111b3bf5eff6c5a8b06e95b78fd4bacd3168","observation_id":"8ab43231-72f9-4ba0-9df8-455547dfe5bf","resolution":{"observed_at":"2026-08-05T18:16:39.470761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:39.208442Z","title":"Hierarchical saliency detection,","venue":null,"work_id":"c3ef7247-363e-4eec-bc70-d32eff885518","year":2013},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:38.520162Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:9095a326fe7a7416e4e52da0e4841d3e0d02b5f57f05094d3fc30a08beb7c1e6","observation_id":"a009b336-823a-4039-82da-c2891162176a","resolution":{"observed_at":"2026-08-05T18:16:39.318951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:39.013151Z","title":"Visual saliency based on multiscale deep features,","venue":null,"work_id":"d88d5fc8-80bc-4fd5-bb2c-8d63764a4caf","year":2015},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:38.635633Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:472711b032859bbfc009214aaed0fcd91e2e22eee1bbbfb1fa1241896e03a188","observation_id":"7fc150ea-3b2a-4c04-a370-ccc937114ef4","resolution":{"observed_at":"2026-08-05T18:16:39.123479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T18:16:38.853653Z","title":"The secrets of salient object segmentation,","venue":null,"work_id":"0a00fcb6-862e-40aa-9a5f-11918d8fcbb7","year":2014},"citing_paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-05T18:16:38.709392Z"},"links":{"citing_paper":"/paper/2508.15027"},"observation_digest":"sha256:5250dece74607b153bc9b5733072d53848cc0d9c452dd85e71013694b1cb14b3","observation_id":"709c93a2-3a93-4ca9-866f-812a6600c420","resolution":{"observed_at":"2026-08-05T18:16:38.930203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.15027","last_updated":"2025-08-20T19:45:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T16:23:24.493678Z","submitted_at":"2025-08-20T19:45:40Z","title":"Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement"},"reference_resolution":{"displayed":99,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":76},"total_outbound_references":99},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 6 inbound Pith citation observations for arXiv:2508.15027."}