{"as_of":"2026-08-08T19:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c99ff2c6f198f517ad11bd06f37e565aa2736431f7b72ff9a4cbf36eecd75475","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T13:23:42.173361Z","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":"2026-08-07T13:23:42.498921Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.07023","last_updated":"2024-06-12T02:26:46Z","snapshot_observed_at":"2026-07-06T18:28:42.314877Z","submitted_at":"2024-06-11T07:26:54Z","title":"LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection","version":2},"cited_work":{"arxiv_id":"2406.07023","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07023","snapshot_observed_at":"2026-08-07T13:23:42.498921Z","title":"LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection","venue":"cs.CV","work_id":"7d3bc577-8b86-44d3-81ce-d33b5d4cd4fc","year":2024},"citing_paper":{"arxiv_id":"2505.21914","last_updated":"2025-05-28T02:59:19Z","snapshot_observed_at":"2026-08-07T13:17:15.635668Z","submitted_at":"2025-05-28T02:59:19Z","title":"LiDARDustX: A LiDAR Dataset for Dusty Unstructured Road Environments","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:23:42.173361Z"},"links":{"cited_paper":"/paper/2406.07023","citing_paper":"/paper/2505.21914"},"observation_digest":"sha256:9d7347274c7d2ec117b284d1db096967f7536d411939107d7008150f12e8035b","observation_id":"3808739b-aa94-4a88-ac41-6d4992861226","resolution":{"observed_at":"2026-08-07T13:23:42.571632Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2406.07023/citation-record","integrity":"/paper/2406.07023/integrity","json":"/paper/2406.07023/citation-record.json","paper":"/paper/2406.07023"},"outbound":[],"paper":{"arxiv_id":"2406.07023","last_updated":"2024-06-12T02:26:46Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:28:42.314877Z","submitted_at":"2024-06-11T07:26:54Z","title":"LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and 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 1 inbound Pith citation observation for arXiv:2406.07023."}