{"as_of":"2026-08-19T03:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8cb621d99bb6162c8fd1c123901eaea01f1d377f39fe2fc9fc86e33d7fb1098c","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T20:12:08.287587Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T04:27:27.440296Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.03836","last_updated":"2024-07-30T10:36:51Z","snapshot_observed_at":"2026-08-16T14:29:09.026386Z","submitted_at":"2024-01-08T11:50:23Z","title":"WidthFormer: Toward Efficient Transformer-based BEV View Transformation","version":5},"cited_work":{"arxiv_id":"2401.03836","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.03836","snapshot_observed_at":"2026-08-11T04:27:27.440296Z","title":"WidthFormer: Toward Efficient Transformer-based BEV View Transformation","venue":"cs.CV","work_id":"d072838c-b0f6-4d17-be56-75116ad62567","year":2024},"citing_paper":{"arxiv_id":"2412.18884","last_updated":"2025-05-21T13:35:40Z","snapshot_observed_at":"2026-08-19T02:25:19.192321Z","submitted_at":"2024-12-25T11:49:14Z","title":"HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T04:27:27.368874Z"},"links":{"cited_paper":"/paper/2401.03836","citing_paper":"/paper/2412.18884"},"observation_digest":"sha256:3c35bca71a5b91d3f39c1465a0be6f7f7b522d5183cc1eeaabaff7db9b113013","observation_id":"28f06a20-9af3-4c30-becc-de0d08fdbcd8","resolution":{"observed_at":"2026-08-11T04:27:27.446532Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03836","last_updated":"2024-07-30T10:36:51Z","snapshot_observed_at":"2026-08-16T14:29:09.026386Z","submitted_at":"2024-01-08T11:50:23Z","title":"WidthFormer: Toward Efficient Transformer-based BEV View Transformation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03836","snapshot_observed_at":"2026-08-15T20:12:08.287587Z","title":"Widthformer: To- ward efficient transformer-based bev view transformation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.13856","last_updated":"2025-06-05T01:19:22Z","snapshot_observed_at":"2026-08-18T20:29:37.927739Z","submitted_at":"2025-05-20T03:06:22Z","title":"SuperMapNet for Long-Range and High-Accuracy Vectorized HD Map Construction","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:12:08.287587Z"},"links":{"cited_paper":"/paper/2401.03836","citing_paper":"/paper/2505.13856"},"observation_digest":"sha256:02b4dec9544ea4270859ccabfc6f8431e7432b22e05ff4242cb53bc79b80c109","observation_id":"6e16c643-f2b8-41db-a431-9a67c66a9524","resolution":{"observed_at":"2026-08-15T20:12:08.287587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.03836/citation-record","integrity":"/paper/2401.03836/integrity","json":"/paper/2401.03836/citation-record.json","paper":"/paper/2401.03836"},"outbound":[],"paper":{"arxiv_id":"2401.03836","last_updated":"2024-07-30T10:36:51Z","latest_version":5,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T14:29:09.026386Z","submitted_at":"2024-01-08T11:50:23Z","title":"WidthFormer: Toward Efficient Transformer-based BEV View Transformation"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.03836."}