{"as_of":"2026-08-08T20:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:326ae1283652410f7adf6b1a87ba3f46726241dd6b5e9a296daea745a3b71929","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:26:19.889310Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-19T06:57:07.926439Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.16812","last_updated":"2023-09-28T19:39:13Z","snapshot_observed_at":"2026-08-07T16:14:45.304043Z","submitted_at":"2023-09-28T19:39:13Z","title":"SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16812","snapshot_observed_at":"2026-08-06T23:26:19.889310Z","title":"Baghirli, H","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18946","last_updated":"2025-06-23T02:38:56Z","snapshot_observed_at":"2026-08-07T12:15:48.803337Z","submitted_at":"2025-06-23T02:38:56Z","title":"DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:26:19.889310Z"},"links":{"cited_paper":"/paper/2309.16812","citing_paper":"/paper/2506.18946"},"observation_digest":"sha256:d91922b36993121a387c2cf69ed5da9f3902204ace37c66bdf2b5f6697dc6056","observation_id":"1ebc4732-f08e-4a89-ae2d-3f926aaff550","resolution":{"observed_at":"2026-08-06T23:26:19.889310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16812","last_updated":"2023-09-28T19:39:13Z","snapshot_observed_at":"2026-08-07T16:14:45.304043Z","submitted_at":"2023-09-28T19:39:13Z","title":"SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models","version":1},"cited_work":{"arxiv_id":"2309.16812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16812","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Satdm: Synthe- sizing realistic satellite image with semantic layout conditioning using diffusion models","venue":null,"work_id":"76747b6f-f7eb-4abf-95da-c88d8e1dd36d","year":2023},"citing_paper":{"arxiv_id":"2507.04678","last_updated":"2026-04-09T07:56:37Z","snapshot_observed_at":"2026-08-03T02:08:45.340582Z","submitted_at":"2025-07-07T05:51:55Z","title":"ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensing","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-19T06:56:21.623347Z"},"links":{"cited_paper":"/paper/2309.16812","citing_paper":"/paper/2507.04678"},"observation_digest":"sha256:c0bdcd192b9d0d6f1ba1aa88536b693da0ebc7f4771f2aab61960304b8a3dc74","observation_id":"7d76dd92-4d6a-4dbe-88f2-8e314a41bc3b","resolution":{"observed_at":"2026-05-19T06:57:07.928873Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16812","last_updated":"2023-09-28T19:39:13Z","snapshot_observed_at":"2026-08-07T16:14:45.304043Z","submitted_at":"2023-09-28T19:39:13Z","title":"SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models","version":1},"cited_work":{"arxiv_id":"2309.16812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16812","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Satdm: Synthe- sizing realistic satellite image with semantic layout conditioning using diffusion models","venue":null,"work_id":"76747b6f-f7eb-4abf-95da-c88d8e1dd36d","year":2023},"citing_paper":{"arxiv_id":"2602.04749","last_updated":"2026-04-26T10:58:42Z","snapshot_observed_at":"2026-08-07T15:41:28.952204Z","submitted_at":"2026-02-04T16:49:16Z","title":"Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-16T07:28:46.372389Z"},"links":{"cited_paper":"/paper/2309.16812","citing_paper":"/paper/2602.04749"},"observation_digest":"sha256:f04cd99a1b4c8d03db232f39ebd9c473128881b811fef60d96f163bc23456625","observation_id":"cb714a6d-2378-49de-971b-e385f5181d18","resolution":{"observed_at":"2026-05-16T07:30:44.306129Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16812","last_updated":"2023-09-28T19:39:13Z","snapshot_observed_at":"2026-08-07T16:14:45.304043Z","submitted_at":"2023-09-28T19:39:13Z","title":"SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models","version":1},"cited_work":{"arxiv_id":"2309.16812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16812","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Satdm: Synthe- sizing realistic satellite image with semantic layout conditioning using diffusion models","venue":null,"work_id":"76747b6f-f7eb-4abf-95da-c88d8e1dd36d","year":2023},"citing_paper":{"arxiv_id":"2605.14326","last_updated":"2026-05-14T03:41:46Z","snapshot_observed_at":"2026-07-06T23:25:44.508166Z","submitted_at":"2026-05-14T03:41:46Z","title":"D2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-15T02:14:49.275167Z"},"links":{"cited_paper":"/paper/2309.16812","citing_paper":"/paper/2605.14326"},"observation_digest":"sha256:41db19194a552808e4c3c09d9a17d2c3f6520dc99a9ed997e17aad8961785742","observation_id":"39f5cf3f-bde7-44d5-bcfe-9ea845fa0660","resolution":{"observed_at":"2026-05-15T02:18:31.321306Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16812","last_updated":"2023-09-28T19:39:13Z","snapshot_observed_at":"2026-08-07T16:14:45.304043Z","submitted_at":"2023-09-28T19:39:13Z","title":"SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models","version":1},"cited_work":{"arxiv_id":"2309.16812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16812","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Satdm: Synthe- sizing realistic satellite image with semantic layout conditioning using diffusion models","venue":null,"work_id":"76747b6f-f7eb-4abf-95da-c88d8e1dd36d","year":2023},"citing_paper":{"arxiv_id":"2605.14341","last_updated":"2026-05-14T04:04:34Z","snapshot_observed_at":"2026-07-06T23:25:49.545418Z","submitted_at":"2026-05-14T04:04:34Z","title":"AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-05-15T02:00:08.439611Z"},"links":{"cited_paper":"/paper/2309.16812","citing_paper":"/paper/2605.14341"},"observation_digest":"sha256:edfadf97d0a7921baf7a65288ef614db51d7814a33463e6e2fc3f37007d268b4","observation_id":"b9330fbc-79a7-40d0-b565-1faee14359c3","resolution":{"observed_at":"2026-05-15T02:03:29.203824Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.16812/citation-record","integrity":"/paper/2309.16812/integrity","json":"/paper/2309.16812/citation-record.json","paper":"/paper/2309.16812"},"outbound":[],"paper":{"arxiv_id":"2309.16812","last_updated":"2023-09-28T19:39:13Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:14:45.304043Z","submitted_at":"2023-09-28T19:39:13Z","title":"SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.16812."}