{"as_of":"2026-08-07T17:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:76d28698de687b3601e2f4af0c34a5734e6ea94a03976945cd1b0270f3a4c3a0","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:03:57.837129Z","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":"2026-06-29T23:24:02.121627Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":"2304.04709","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-06-29T23:24:02.121627Z","title":"arXiv preprint arXiv:2304.04709 (2023)","venue":null,"work_id":"ba87ba19-76c9-4cab-aa72-6d558fd62270","year":2023},"citing_paper":{"arxiv_id":"2310.11441","last_updated":"2023-11-06T07:39:49Z","snapshot_observed_at":"2026-08-04T03:29:49.409446Z","submitted_at":"2023-10-17T17:51:31Z","title":"Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-12T14:01:49.854238Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2310.11441"},"observation_digest":"sha256:26337bff706412ab273b4f59029afe9db3123276087b7d218a0b56a274c12de8","observation_id":"ef4ab74b-efe9-4831-94f6-3a3f722acf7f","resolution":{"observed_at":"2026-05-12T14:01:49.966606Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":"2304.04709","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-06-29T23:24:02.121627Z","title":"arXiv preprint arXiv:2304.04709 (2023)","venue":null,"work_id":"ba87ba19-76c9-4cab-aa72-6d558fd62270","year":2023},"citing_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T13:56:25.331304Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2408.00714"},"observation_digest":"sha256:5134d152cdb05e6885897a156d20dc04d80ce7b0393a6860f621665448eae999","observation_id":"a75fdf5b-adea-4de1-9bb4-6f5d07950677","resolution":{"observed_at":"2026-05-10T13:56:25.450729Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-08-07T05:03:57.837129Z","title":"Can sam segment anything? sam meets camou- flaged object detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08955","last_updated":"2025-06-14T00:52:36Z","snapshot_observed_at":"2026-08-07T04:55:51.154911Z","submitted_at":"2025-06-10T16:25:15Z","title":"Segment Concealed Objects with Incomplete Supervision","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:57.837129Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2506.08955"},"observation_digest":"sha256:7cbe45ff21ede74116a4f0cd0cc8863544bbeadbe9612ec6191dea5f81424190","observation_id":"c8c1cd60-5176-4719-b833-49d0409e42cc","resolution":{"observed_at":"2026-08-07T05:03:57.837129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-08-06T22:28:14.554591Z","title":"Can sam segment any- thing? when sam meets camouflaged object detection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21547","last_updated":"2025-06-26T17:59:14Z","snapshot_observed_at":"2026-08-06T22:21:09.043503Z","submitted_at":"2025-06-26T17:59:14Z","title":"SAM4D: Segment Anything in Camera and LiDAR Streams","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T22:28:14.554591Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2506.21547"},"observation_digest":"sha256:d2a6ebea4e0c7d587521887d8bfcd826669faa7595e6d43478b10c754bdf363f","observation_id":"2ca008ae-81d6-454e-b188-3f093be001e1","resolution":{"observed_at":"2026-08-06T22:28:14.554591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-08-06T21:16:47.964749Z","title":"Can sam segment any- thing? when sam meets camouflaged object detection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.964749Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:a25575f311640136c8c1b179b642e3f2e57c1d978d77888be0a1dcbe0bb67eb8","observation_id":"61745903-eb92-4f82-a915-507c9814e9a7","resolution":{"observed_at":"2026-08-06T21:16:47.964749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-08-06T10:57:47.786470Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23307","last_updated":"2025-07-31T07:41:30Z","snapshot_observed_at":"2026-08-06T10:57:46.936587Z","submitted_at":"2025-07-31T07:41:30Z","title":"ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T10:57:47.786470Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2507.23307"},"observation_digest":"sha256:ab8bc3eab1e37f5011c39a26d0d61954785396fbaab12c94b6582b592fdee9f8","observation_id":"419e7383-b2b9-4c49-ab0e-8728850275ec","resolution":{"observed_at":"2026-08-06T10:57:47.786470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":"2304.04709","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-06-29T23:24:02.121627Z","title":"arXiv preprint arXiv:2304.04709 (2023)","venue":null,"work_id":"ba87ba19-76c9-4cab-aa72-6d558fd62270","year":2023},"citing_paper":{"arxiv_id":"2601.02018","last_updated":"2026-04-27T02:00:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-05T11:28:58Z","title":"Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-16T18:11:47.141366Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2601.02018"},"observation_digest":"sha256:812271ca22c9883782c83a7132c95fac5425450d63d8e7704ff70bb150bf7fd0","observation_id":"dc4e7ffd-2733-4587-baef-9fd5cbc1b7f0","resolution":{"observed_at":"2026-05-16T18:13:13.263017Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":"2304.04709","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-06-29T23:24:02.121627Z","title":"arXiv preprint arXiv:2304.04709 (2023)","venue":null,"work_id":"ba87ba19-76c9-4cab-aa72-6d558fd62270","year":2023},"citing_paper":{"arxiv_id":"2604.08461","last_updated":"2026-04-09T16:57:11Z","snapshot_observed_at":"2026-08-01T02:05:37.324082Z","submitted_at":"2026-04-09T16:57:11Z","title":"OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T17:04:52.871199Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2604.08461"},"observation_digest":"sha256:2775286fa5ef0f90150caf14eb3fed84ceab01833715741841c8913ede900c66","observation_id":"e7dbf7ea-a04c-4c8c-8566-38acf14b013b","resolution":{"observed_at":"2026-05-11T07:40:58.936692Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":"2304.04709","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-06-29T23:24:02.121627Z","title":"arXiv preprint arXiv:2304.04709 (2023)","venue":null,"work_id":"ba87ba19-76c9-4cab-aa72-6d558fd62270","year":2023},"citing_paper":{"arxiv_id":"2605.25385","last_updated":"2026-05-25T03:26:13Z","snapshot_observed_at":"2026-08-03T20:15:01.847294Z","submitted_at":"2026-05-25T03:26:13Z","title":"Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-29T23:15:17.959043Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2605.25385"},"observation_digest":"sha256:a1cdf35c3c59c32e7e5607649c958e4df9d55c27c54b26dbebd5abacc286cc75","observation_id":"f9f5583c-8855-408b-87be-cbaf914e2c3a","resolution":{"observed_at":"2026-06-29T23:24:02.123126Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.04709/citation-record","integrity":"/paper/2304.04709/integrity","json":"/paper/2304.04709/citation-record.json","paper":"/paper/2304.04709"},"outbound":[],"paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2304.04709."}