{"as_of":"2026-08-14T06:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0104402df552214fce08a5ab43bf10e1c92a741329f89f31af6311fd6c4c2f5e","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":"2026-08-14T06:32:32.682623+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":"2026-08-12T13:18:36.451342Z","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":"2026-08-06T16:23:52.605700Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.09472","last_updated":"2023-07-18T17:55:29Z","snapshot_observed_at":"2026-08-13T10:53:08.206269Z","submitted_at":"2023-07-18T17:55:29Z","title":"GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09472","snapshot_observed_at":"2026-08-12T13:18:36.451342Z","title":"Grouplane: End-to-end 3d lane detection with channel-wise grouping,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16316","last_updated":"2024-12-11T10:14:04Z","snapshot_observed_at":"2026-08-14T04:05:35.175663Z","submitted_at":"2024-11-25T12:09:43Z","title":"Monocular Lane Detection Based on Deep Learning: A Survey","version":6},"reference_index":134,"source":"pdf_text","source_observed_at":"2026-08-12T13:18:36.451342Z"},"links":{"cited_paper":"/paper/2307.09472","citing_paper":"/paper/2411.16316"},"observation_digest":"sha256:4b93eb5cc0d01184a9ac9a735440e9e6b17529254c7131c8e63da506786a50b6","observation_id":"d4b15164-3a17-4175-87c2-bba7d67ed152","resolution":{"observed_at":"2026-08-12T13:18:36.451342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09472","last_updated":"2023-07-18T17:55:29Z","snapshot_observed_at":"2026-08-13T10:53:08.206269Z","submitted_at":"2023-07-18T17:55:29Z","title":"GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping","version":1},"cited_work":{"arxiv_id":"2307.09472","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.09472","snapshot_observed_at":"2026-08-06T16:23:52.605700Z","title":"GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping","venue":"cs.CV","work_id":"0e2604c9-cfff-4614-b968-1b11203bca97","year":2023},"citing_paper":{"arxiv_id":"2507.13857","last_updated":"2025-07-18T12:23:47Z","snapshot_observed_at":"2026-08-06T16:12:28.033090Z","submitted_at":"2025-07-18T12:23:47Z","title":"Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:23:50.526762Z"},"links":{"cited_paper":"/paper/2307.09472","citing_paper":"/paper/2507.13857"},"observation_digest":"sha256:1c4b7bb2b042cfe659d192230ecbaa1968eb4192db995f3e51f960d0df3b8280","observation_id":"54f51d7e-00cd-4db6-bbf7-4407f8596db5","resolution":{"observed_at":"2026-08-06T16:23:52.693120Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.09472/citation-record","integrity":"/paper/2307.09472/integrity","json":"/paper/2307.09472/citation-record.json","paper":"/paper/2307.09472"},"outbound":[],"paper":{"arxiv_id":"2307.09472","last_updated":"2023-07-18T17:55:29Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T10:53:08.206269Z","submitted_at":"2023-07-18T17:55:29Z","title":"GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.09472."}