{"as_of":"2026-07-27T12:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:57e8c3df1d677db44698e07212a44d817114e93f4cf8343d79b51cf0b6e7ede8","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-07-27T06:30:09.085275+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-23T08:14:06.239880Z","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":"2026-05-23T08:15:29.462703Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.10646","last_updated":"2022-04-13T13:48:20Z","snapshot_observed_at":"2026-07-06T12:20:39.566126Z","submitted_at":"2021-12-20T16:15:26Z","title":"Raw High-Definition Radar for Multi-Task Learning","version":3},"cited_work":{"arxiv_id":"2112.10646","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10646","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Raw High-Definition Radar for Multi-Task Learning","venue":null,"work_id":"81000084-1a84-4c4a-adee-b3ec43dcf37e","year":2022},"citing_paper":{"arxiv_id":"2411.13311","last_updated":"2024-11-20T13:26:13Z","snapshot_observed_at":"2026-07-06T19:53:08.203405Z","submitted_at":"2024-11-20T13:26:13Z","title":"A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar Data","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-23T08:14:06.239880Z"},"links":{"cited_paper":"/paper/2112.10646","citing_paper":"/paper/2411.13311"},"observation_digest":"sha256:6f90e99b9bbff144704b655ade9af7a80f94bc35f95420272d45bc37f7962b0f","observation_id":"b0a25a5b-e475-4716-92a9-25f5c1566626","resolution":{"observed_at":"2026-05-23T08:15:29.465946Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-27T06:30:09.085275+00:00","source":"crossref"},{"observed_at":"2026-07-27T06:30:01.563335+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.10646/citation-record","integrity":"/paper/2112.10646/integrity","json":"/paper/2112.10646/citation-record.json","paper":"/paper/2112.10646"},"outbound":[],"paper":{"arxiv_id":"2112.10646","last_updated":"2022-04-13T13:48:20Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T12:20:39.566126Z","submitted_at":"2021-12-20T16:15:26Z","title":"Raw High-Definition Radar for Multi-Task Learning"},"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":"2026-07-27T06:30:09.085275+00:00","source":"crossref"},{"observed_at":"2026-07-27T06:30:01.563335+00:00","source":"retraction_watch"}],"thesis":"As of 27 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2112.10646."}