{"as_of":"2026-08-08T20:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b3fb348a606ff08155ac4c5e19738bc674484b810c0e4195d563fddd75392662","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":"2026-08-07T12:41:45.041389Z","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":"2026-08-07T12:41:45.523325Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.11436","last_updated":"2020-06-23T16:45:07Z","snapshot_observed_at":"2026-08-06T16:09:37.070637Z","submitted_at":"2020-06-19T23:30:11Z","title":"BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud","version":2},"cited_work":{"arxiv_id":"2006.11436","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.11436","snapshot_observed_at":"2026-08-07T12:41:45.523325Z","title":"BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud","venue":"cs.CV","work_id":"412444f3-af97-44d9-aaa4-abc1afbde7bb","year":2020},"citing_paper":{"arxiv_id":"2505.24076","last_updated":"2025-05-29T23:43:03Z","snapshot_observed_at":"2026-08-07T12:33:25.984653Z","submitted_at":"2025-05-29T23:43:03Z","title":"SIM: A mapping framework for built environment auditing based on street view imagery","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:45.041389Z"},"links":{"cited_paper":"/paper/2006.11436","citing_paper":"/paper/2505.24076"},"observation_digest":"sha256:969c4c262857692c1f371369d8d4129f57c038544e191faf0feea4616a9d55b1","observation_id":"7b30b9a7-017c-4d3b-bf61-7031ef44a043","resolution":{"observed_at":"2026-08-07T12:41:45.639019Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2006.11436/citation-record","integrity":"/paper/2006.11436/integrity","json":"/paper/2006.11436/citation-record.json","paper":"/paper/2006.11436"},"outbound":[],"paper":{"arxiv_id":"2006.11436","last_updated":"2020-06-23T16:45:07Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T16:09:37.070637Z","submitted_at":"2020-06-19T23:30:11Z","title":"BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud"},"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:2006.11436."}