{"as_of":"2026-08-08T06:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e8fafb94fe62883c0a52da1f63169a781f68de8d4feef7fcc888c6b8b4c308c","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":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:59:02.845226Z","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":40,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.09788","last_updated":"2023-08-19T10:03:29Z","snapshot_observed_at":"2026-08-04T01:51:42.046513Z","submitted_at":"2022-11-17T18:56:19Z","title":"DiffusionDet: Diffusion Model for Object Detection","version":2},"cited_work":{"arxiv_id":"2211.09788","doi":"10.48550/arxiv.2211.09788","metadata_source":"arxiv_reference","pith_arxiv_id":"2211.09788","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.48550/arXiv.2211.09788 , urldate =","venue":"arXiv (Cornell University)","work_id":"160fc42b-88f3-4b3d-81c3-4e7bb4f6f1d8","year":null},"citing_paper":{"arxiv_id":"2308.08089","last_updated":"2023-08-16T01:43:41Z","snapshot_observed_at":"2026-07-06T16:06:38.424057Z","submitted_at":"2023-08-16T01:43:41Z","title":"DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory","version":1},"reference_index":138,"source":"arxiv_source","source_observed_at":"2026-05-20T13:03:57.828598Z"},"links":{"cited_paper":"/paper/2211.09788","citing_paper":"/paper/2308.08089"},"observation_digest":"sha256:c44f4af348674e2814db56af29986bcb21f82785f5bf21c2edad1a53627c70b9","observation_id":"b005ba31-e47a-4d9a-8faa-90e9d99992c3","resolution":{"observed_at":"2026-05-20T13:03:57.997786Z","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":"2211.09788","last_updated":"2023-08-19T10:03:29Z","snapshot_observed_at":"2026-08-04T01:51:42.046513Z","submitted_at":"2022-11-17T18:56:19Z","title":"DiffusionDet: Diffusion Model for Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09788","snapshot_observed_at":"2026-08-07T13:53:10.628962Z","title":"Diffusiondet: Diffusion model for object detection","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20687","last_updated":"2025-05-27T03:58:50Z","snapshot_observed_at":"2026-08-07T13:46:41.470981Z","submitted_at":"2025-05-27T03:58:50Z","title":"VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:10.628962Z"},"links":{"cited_paper":"/paper/2211.09788","citing_paper":"/paper/2505.20687"},"observation_digest":"sha256:b93909d1d0ae5ccbdc19db6129307113208516684bd975aa6ef4846691c28ac4","observation_id":"8261f965-bd40-48cb-9979-cb60972020a5","resolution":{"observed_at":"2026-08-07T13:53:10.628962Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09788","last_updated":"2023-08-19T10:03:29Z","snapshot_observed_at":"2026-08-04T01:51:42.046513Z","submitted_at":"2022-11-17T18:56:19Z","title":"DiffusionDet: Diffusion Model for Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09788","snapshot_observed_at":"2026-08-07T13:59:02.845226Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00033","last_updated":"2025-05-26T21:19:09Z","snapshot_observed_at":"2026-08-07T22:47:50.479138Z","submitted_at":"2025-05-26T21:19:09Z","title":"Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T13:59:02.845226Z"},"links":{"cited_paper":"/paper/2211.09788","citing_paper":"/paper/2506.00033"},"observation_digest":"sha256:10604d17727ba13e5ca28e5dc82a2834e07765c6fa806fc9a079afe12338e806","observation_id":"cf810e96-7647-45f0-89ce-c4036b0690c1","resolution":{"observed_at":"2026-08-07T13:59:02.845226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09788","last_updated":"2023-08-19T10:03:29Z","snapshot_observed_at":"2026-08-04T01:51:42.046513Z","submitted_at":"2022-11-17T18:56:19Z","title":"DiffusionDet: Diffusion Model for Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09788","snapshot_observed_at":"2026-08-05T22:03:09.607119Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.08339","last_updated":"2025-08-11T04:13:56Z","snapshot_observed_at":"2026-08-06T12:01:44.042194Z","submitted_at":"2025-08-11T04:13:56Z","title":"SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T22:03:09.607119Z"},"links":{"cited_paper":"/paper/2211.09788","citing_paper":"/paper/2508.08339"},"observation_digest":"sha256:8afb5e31e8e3295ac6c39c262e824bfc1f56fd3c00b252e3ccd02bec7013e339","observation_id":"2fdf076e-e891-43d4-b114-ef1ac38476bd","resolution":{"observed_at":"2026-08-05T22:03:09.607119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2211.09788/citation-record","integrity":"/paper/2211.09788/integrity","json":"/paper/2211.09788/citation-record.json","paper":"/paper/2211.09788"},"outbound":[],"paper":{"arxiv_id":"2211.09788","last_updated":"2023-08-19T10:03:29Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T01:51:42.046513Z","submitted_at":"2022-11-17T18:56:19Z","title":"DiffusionDet: Diffusion Model for 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":"2026-08-08T06:32:00.761636+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 4 inbound Pith citation observations for arXiv:2211.09788."}