{"as_of":"2026-08-12T21:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:129604a74ea9abe69659a86adf317e47a0133a00812183c62c72a5a4f81f0727","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T13:51:22.464374Z","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":"2026-07-03T21:08:58.788628Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.07746","last_updated":"2025-03-26T08:48:13Z","snapshot_observed_at":"2026-08-12T01:18:58.858853Z","submitted_at":"2024-03-12T15:28:51Z","title":"Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07746","snapshot_observed_at":"2026-08-11T13:51:22.464374Z","title":"Unleashing hydra: Hybrid fusion, depth consistency and radar for unified 3d perception","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.12725","last_updated":"2025-03-24T16:47:54Z","snapshot_observed_at":"2026-08-11T13:45:33.412427Z","submitted_at":"2024-12-17T09:47:48Z","title":"RaCFormer: Towards High-Quality 3D Object Detection via Query-based Radar-Camera Fusion","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T13:51:22.464374Z"},"links":{"cited_paper":"/paper/2403.07746","citing_paper":"/paper/2412.12725"},"observation_digest":"sha256:045d58eea681eaa282720ffb7c1b8c947ec4cf89fbb47bbbf00e37935ad24348","observation_id":"1cafd568-06b8-4a84-81b2-d7d67e591635","resolution":{"observed_at":"2026-08-11T13:51:22.464374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07746","last_updated":"2025-03-26T08:48:13Z","snapshot_observed_at":"2026-08-12T01:18:58.858853Z","submitted_at":"2024-03-12T15:28:51Z","title":"Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07746","snapshot_observed_at":"2026-08-06T15:02:26.160447Z","title":"Unleashing hydra: Hybrid fusion, depth consis- tency and radar for unified 3d perception","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17083","last_updated":"2025-07-22T23:49:40Z","snapshot_observed_at":"2026-08-12T19:51:49.113889Z","submitted_at":"2025-07-22T23:49:40Z","title":"SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy Prediction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:02:26.160447Z"},"links":{"cited_paper":"/paper/2403.07746","citing_paper":"/paper/2507.17083"},"observation_digest":"sha256:286a19d4f4edd034edbccc0327605b88730d302929117e2f2e95d7bc7a84b305","observation_id":"9db273bc-05f2-4e8e-9412-5d1bb1838811","resolution":{"observed_at":"2026-08-06T15:02:26.160447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07746","last_updated":"2025-03-26T08:48:13Z","snapshot_observed_at":"2026-08-12T01:18:58.858853Z","submitted_at":"2024-03-12T15:28:51Z","title":"Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception","version":4},"cited_work":{"arxiv_id":"2403.07746","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.07746","snapshot_observed_at":"2026-07-03T21:08:58.788628Z","title":"Unleashing HyDRa: Hybrid fusion, depth consistency and radar for unified 3d perception","venue":null,"work_id":"3cbd845a-a94d-4728-928d-01d067a7b461","year":null},"citing_paper":{"arxiv_id":"2604.13571","last_updated":"2026-04-21T14:55:23Z","snapshot_observed_at":"2026-08-11T05:06:37.629671Z","submitted_at":"2026-04-15T07:31:54Z","title":"Radar-Informed 3D Multi-Object Tracking under Adverse Conditions","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T13:44:11.556912Z"},"links":{"cited_paper":"/paper/2403.07746","citing_paper":"/paper/2604.13571"},"observation_digest":"sha256:751b9f1f99710bdaf02582ced25cc82b8b4290c6a731711c07b23ce4eb108d76","observation_id":"5839b5e4-36ea-4a3b-af42-67287e73cfad","resolution":{"observed_at":"2026-05-10T13:45:27.584938Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07746","last_updated":"2025-03-26T08:48:13Z","snapshot_observed_at":"2026-08-12T01:18:58.858853Z","submitted_at":"2024-03-12T15:28:51Z","title":"Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception","version":4},"cited_work":{"arxiv_id":"2403.07746","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.07746","snapshot_observed_at":"2026-07-03T21:08:58.788628Z","title":"Unleashing HyDRa: Hybrid fusion, depth consistency and radar for unified 3d perception","venue":null,"work_id":"3cbd845a-a94d-4728-928d-01d067a7b461","year":null},"citing_paper":{"arxiv_id":"2606.17598","last_updated":"2026-06-16T07:04:13Z","snapshot_observed_at":"2026-07-06T23:53:11.869569Z","submitted_at":"2026-06-16T07:04:13Z","title":"MuseVLA: An Adaptive Multimodal Sensing Vision-Language-Action Model for Robotic Manipulation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T00:49:13.291897Z"},"links":{"cited_paper":"/paper/2403.07746","citing_paper":"/paper/2606.17598"},"observation_digest":"sha256:3807ff84f0ac9c14d2cd0b4f4436c9f4fe7ce8687afe46a34e73e0c28abe09de","observation_id":"1ecde03b-1c19-4ab7-9ece-d491ae0cf1a1","resolution":{"observed_at":"2026-07-03T21:08:58.790273Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.07746/citation-record","integrity":"/paper/2403.07746/integrity","json":"/paper/2403.07746/citation-record.json","paper":"/paper/2403.07746"},"outbound":[],"paper":{"arxiv_id":"2403.07746","last_updated":"2025-03-26T08:48:13Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T01:18:58.858853Z","submitted_at":"2024-03-12T15:28:51Z","title":"Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.07746."}