{"as_of":"2026-08-08T20:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3abc7a739147983f4127d97502e50c9e54e92c7a53629285ea84073a3564a8d1","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T14:12:37.207184Z","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":"2026-07-02T14:37:03.155602Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.09122","last_updated":"2024-08-17T07:11:38Z","snapshot_observed_at":"2026-07-06T19:01:49.900679Z","submitted_at":"2024-08-17T07:11:38Z","title":"MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09122","snapshot_observed_at":"2026-08-06T14:12:37.207184Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19691","last_updated":"2025-07-25T22:14:23Z","snapshot_observed_at":"2026-08-06T14:12:34.587600Z","submitted_at":"2025-07-25T22:14:23Z","title":"Co-Win: Joint Object Detection and Instance Segmentation in LiDAR Point Clouds via Collaborative Window Processing","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T14:12:37.207184Z"},"links":{"cited_paper":"/paper/2408.09122","citing_paper":"/paper/2507.19691"},"observation_digest":"sha256:873563f59438c273054cbfe5df9c38b4a10adff8583948e86578561d7cfe5632","observation_id":"2c4adc3e-3340-40ef-86d4-a2e6890ef99b","resolution":{"observed_at":"2026-08-06T14:12:37.207184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09122","last_updated":"2024-08-17T07:11:38Z","snapshot_observed_at":"2026-07-06T19:01:49.900679Z","submitted_at":"2024-08-17T07:11:38Z","title":"MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation","version":1},"cited_work":{"arxiv_id":"2408.09122","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09122","snapshot_observed_at":"2026-07-02T14:37:03.155602Z","title":"Sparselif: High- performance sparse lidar-camera fusion for 3d object detection","venue":null,"work_id":"ae5bdafa-86fd-41f7-a462-fc1d4a108049","year":null},"citing_paper":{"arxiv_id":"2607.00746","last_updated":"2026-07-01T10:28:15Z","snapshot_observed_at":"2026-08-07T08:58:21.795085Z","submitted_at":"2026-07-01T10:28:15Z","title":"GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-02T14:29:03.775107Z"},"links":{"cited_paper":"/paper/2408.09122","citing_paper":"/paper/2607.00746"},"observation_digest":"sha256:9899d1bded46d41b3eac60b6c6d369c1a80c9cdf8dc076d63ae32bfca66c6f72","observation_id":"677bc8c8-44d6-446f-aa63-9454f142911e","resolution":{"observed_at":"2026-07-02T14:37:03.157692Z","resolver_source":"arxiv_id","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/2408.09122/citation-record","integrity":"/paper/2408.09122/integrity","json":"/paper/2408.09122/citation-record.json","paper":"/paper/2408.09122"},"outbound":[],"paper":{"arxiv_id":"2408.09122","last_updated":"2024-08-17T07:11:38Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T19:01:49.900679Z","submitted_at":"2024-08-17T07:11:38Z","title":"MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation"},"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 2 inbound Pith citation observations for arXiv:2408.09122."}