{"as_of":"2026-08-13T12:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:11a62bcc93136d2ba1e46cbcac1a962138326b2e1918d6df659d1ce5a513db76","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T18:11:54.565504Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":7,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.15160","last_updated":"2023-10-23T17:57:27Z","snapshot_observed_at":"2026-08-13T05:42:53.102314Z","submitted_at":"2023-10-23T17:57:27Z","title":"FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15160","snapshot_observed_at":"2026-08-11T18:11:54.565504Z","title":"Freemask: Synthetic images with dense annotations make stronger segmentation models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08158","last_updated":"2024-12-11T07:29:04Z","snapshot_observed_at":"2026-08-12T07:36:23.412895Z","submitted_at":"2024-12-11T07:29:04Z","title":"How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-11T18:11:54.565504Z"},"links":{"cited_paper":"/paper/2310.15160","citing_paper":"/paper/2412.08158"},"observation_digest":"sha256:43cbe87c43696a52414338dc9ad454671aa6ee4ea1a32208c051b7be4c4b970d","observation_id":"cb24d4eb-5337-48b7-97d5-be80ac94b343","resolution":{"observed_at":"2026-08-11T18:11:54.565504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15160","last_updated":"2023-10-23T17:57:27Z","snapshot_observed_at":"2026-08-13T05:42:53.102314Z","submitted_at":"2023-10-23T17:57:27Z","title":"FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models","version":1},"cited_work":{"arxiv_id":"2310.15160","doi":"10.48550/arxiv.2310.15160","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15160","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.48550/arXiv.2310.15160 , urldate =","venue":"arXiv (Cornell University)","work_id":"ececd1eb-a84e-40d1-9af6-daac40ac3833","year":2023},"citing_paper":{"arxiv_id":"2605.02583","last_updated":"2026-05-04T13:34:14Z","snapshot_observed_at":"2026-07-06T23:15:37.099197Z","submitted_at":"2026-05-04T13:34:14Z","title":"Stylistic Attribute Control in Latent Diffusion Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-08T18:43:21.423012Z"},"links":{"cited_paper":"/paper/2310.15160","citing_paper":"/paper/2605.02583"},"observation_digest":"sha256:a96ff7301c9258b69b8616dacefd06f60b8f29f8c62663fcf2d07ac9ce3aadb6","observation_id":"31cb0c36-758b-48ad-96ec-a9cd1dcceffa","resolution":{"observed_at":"2026-05-08T18:44:00.058951Z","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":"2310.15160","last_updated":"2023-10-23T17:57:27Z","snapshot_observed_at":"2026-08-13T05:42:53.102314Z","submitted_at":"2023-10-23T17:57:27Z","title":"FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models","version":1},"cited_work":{"arxiv_id":"2310.15160","doi":"10.48550/arxiv.2310.15160","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15160","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.48550/arXiv.2310.15160 , urldate =","venue":"arXiv (Cornell University)","work_id":"ececd1eb-a84e-40d1-9af6-daac40ac3833","year":2023},"citing_paper":{"arxiv_id":"2605.05627","last_updated":"2026-07-31T13:53:20Z","snapshot_observed_at":"2026-08-11T12:23:14.534559Z","submitted_at":"2026-05-07T03:28:56Z","title":"Leveraging Image Generators to Address Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-05-08T15:08:18.453684Z"},"links":{"cited_paper":"/paper/2310.15160","citing_paper":"/paper/2605.05627"},"observation_digest":"sha256:cb0854dbde6ed65f57c06e6af8cdfa2ff810d432befa89072d84381253b1aa1f","observation_id":"fcd3832d-49fa-4301-bed1-70c7395e087c","resolution":{"observed_at":"2026-05-08T21:09:12.926400Z","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":"2310.15160","last_updated":"2023-10-23T17:57:27Z","snapshot_observed_at":"2026-08-13T05:42:53.102314Z","submitted_at":"2023-10-23T17:57:27Z","title":"FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15160","snapshot_observed_at":"2026-08-03T02:26:10.627589Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.05627","last_updated":"2026-07-31T13:53:20Z","snapshot_observed_at":"2026-08-11T12:23:14.534559Z","submitted_at":"2026-05-07T03:28:56Z","title":"Leveraging Image Generators to Address Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping","version":2},"reference_index":1309,"source":"pdf_text","source_observed_at":"2026-08-03T02:26:10.627589Z"},"links":{"cited_paper":"/paper/2310.15160","citing_paper":"/paper/2605.05627"},"observation_digest":"sha256:3c6282ed4a87325bc9e62f34c9d916085265b5e15efbef45c5589330f4d11536","observation_id":"42c0edee-6a46-4ba9-b64a-27bd2a64f6f2","resolution":{"observed_at":"2026-08-03T02:26:10.627589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.15160/citation-record","integrity":"/paper/2310.15160/integrity","json":"/paper/2310.15160/citation-record.json","paper":"/paper/2310.15160"},"outbound":[],"paper":{"arxiv_id":"2310.15160","last_updated":"2023-10-23T17:57:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T05:42:53.102314Z","submitted_at":"2023-10-23T17:57:27Z","title":"FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models"},"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":"2026-08-13T06:32:02.005865+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 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.15160."}