{"as_of":"2026-08-10T12:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:02a85addf05a5990b73456e54b6a7026968d90084324fdf422f26ae2aebeff1f","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:26:41.632604Z","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":"2026-07-04T10:19:47.506159Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.19694","last_updated":"2025-03-24T22:27:08Z","snapshot_observed_at":"2026-08-07T17:44:25.014116Z","submitted_at":"2025-02-27T02:11:29Z","title":"BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19694","snapshot_observed_at":"2026-08-07T15:26:41.632604Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18198","last_updated":"2025-05-21T05:14:11Z","snapshot_observed_at":"2026-08-10T01:40:14.297317Z","submitted_at":"2025-05-21T05:14:11Z","title":"LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T15:26:41.632604Z"},"links":{"cited_paper":"/paper/2502.19694","citing_paper":"/paper/2505.18198"},"observation_digest":"sha256:cf294ad24fd11fa7f72a91104273bf54050929d3eedb0b1d01f0bc00d2e33507","observation_id":"ae59b383-af8f-4554-b983-7396f10b9899","resolution":{"observed_at":"2026-08-07T15:26:41.632604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19694","last_updated":"2025-03-24T22:27:08Z","snapshot_observed_at":"2026-08-07T17:44:25.014116Z","submitted_at":"2025-02-27T02:11:29Z","title":"BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance","version":2},"cited_work":{"arxiv_id":"2502.19694","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19694","snapshot_observed_at":"2026-07-04T10:19:47.506159Z","title":null,"venue":null,"work_id":"638cce5c-5dc3-4bbd-8db8-c4d80ebde078","year":2025},"citing_paper":{"arxiv_id":"2606.22931","last_updated":"2026-06-22T07:06:46Z","snapshot_observed_at":"2026-08-03T15:47:56.020057Z","submitted_at":"2026-06-22T07:06:46Z","title":"BEV-Denoise: Learning Intrinsic Noise for Accurate Bird's-Eye-View Semantic Segmentation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-26T08:58:15.971159Z"},"links":{"cited_paper":"/paper/2502.19694","citing_paper":"/paper/2606.22931"},"observation_digest":"sha256:3985016e07f474a8616638204c5ae35b5c4bacb1067fc3aa7bac3f7d0786fb41","observation_id":"6612c521-fb13-43ad-be30-625151bb562d","resolution":{"observed_at":"2026-07-04T10:19:47.507431Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.19694/citation-record","integrity":"/paper/2502.19694/integrity","json":"/paper/2502.19694/citation-record.json","paper":"/paper/2502.19694"},"outbound":[],"paper":{"arxiv_id":"2502.19694","last_updated":"2025-03-24T22:27:08Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T17:44:25.014116Z","submitted_at":"2025-02-27T02:11:29Z","title":"BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.19694."}