{"as_of":"2026-08-17T14:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0406ed6961fb993ea18d14691720524c60b91c335f604e18280b8c965a69a23d","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:22:57.140935Z","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":"2026-05-23T20:43:25.415697Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.07706","last_updated":"2022-01-19T16:45:16Z","snapshot_observed_at":"2026-08-16T17:27:17.845515Z","submitted_at":"2022-01-19T16:45:16Z","title":"Object Detection in Autonomous Vehicles: Status and Open Challenges","version":1},"cited_work":{"arxiv_id":"2201.07706","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.07706","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2201.07706 (2022)","venue":null,"work_id":"71ccf456-0452-4a67-b89c-c1973aad050c","year":2022},"citing_paper":{"arxiv_id":"2409.16808","last_updated":"2026-07-14T07:01:30Z","snapshot_observed_at":"2026-08-16T13:15:33.261039Z","submitted_at":"2024-09-25T10:56:49Z","title":"A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-23T20:40:52.037026Z"},"links":{"cited_paper":"/paper/2201.07706","citing_paper":"/paper/2409.16808"},"observation_digest":"sha256:dfe0b7e5e3ea52cc4f763fd350a41ca38e9b12323938361041dde866adb18c3f","observation_id":"38c7d58f-f06d-4d59-b771-ef0610f44e4d","resolution":{"observed_at":"2026-05-23T20:43:25.418125Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07706","last_updated":"2022-01-19T16:45:16Z","snapshot_observed_at":"2026-08-16T17:27:17.845515Z","submitted_at":"2022-01-19T16:45:16Z","title":"Object Detection in Autonomous Vehicles: Status and Open Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07706","snapshot_observed_at":"2026-08-12T11:22:57.140935Z","title":"Object detection in autonomous vehicles: Status and open challenges,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.18288","last_updated":"2024-11-27T12:18:39Z","snapshot_observed_at":"2026-08-16T23:33:45.038844Z","submitted_at":"2024-11-27T12:18:39Z","title":"Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:22:57.140935Z"},"links":{"cited_paper":"/paper/2201.07706","citing_paper":"/paper/2411.18288"},"observation_digest":"sha256:5e7916556d2fd84bf36e35b1b937ae4fe189cbbe8701b94ea0d61ab0ea6a7333","observation_id":"32f04cb6-74de-4d02-ab6e-0d2d28e140f6","resolution":{"observed_at":"2026-08-12T11:22:57.140935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07706","last_updated":"2022-01-19T16:45:16Z","snapshot_observed_at":"2026-08-16T17:27:17.845515Z","submitted_at":"2022-01-19T16:45:16Z","title":"Object Detection in Autonomous Vehicles: Status and Open Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07706","snapshot_observed_at":"2026-08-11T04:36:16.680677Z","title":"Object detection in au- tonomous vehicles: Status and open challenges,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.18718","last_updated":"2024-12-25T00:31:10Z","snapshot_observed_at":"2026-08-15T01:10:06.482538Z","submitted_at":"2024-12-25T00:31:10Z","title":"Evaluating the Adversarial Robustness of Detection Transformers","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T04:36:16.680677Z"},"links":{"cited_paper":"/paper/2201.07706","citing_paper":"/paper/2412.18718"},"observation_digest":"sha256:0f4246a9f2e66bff54a6dd11dcebe1cd9664f90d9e9998f0cda3f6ee55795d30","observation_id":"fe6a3936-355a-4c15-804a-4f83592d92bc","resolution":{"observed_at":"2026-08-11T04:36:16.680677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07706","last_updated":"2022-01-19T16:45:16Z","snapshot_observed_at":"2026-08-16T17:27:17.845515Z","submitted_at":"2022-01-19T16:45:16Z","title":"Object Detection in Autonomous Vehicles: Status and Open Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07706","snapshot_observed_at":"2026-08-10T21:45:20.870973Z","title":"Object detection in autonomous vehicles: Status and open challenges","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.04213","last_updated":"2025-01-08T01:18:14Z","snapshot_observed_at":"2026-08-15T13:54:31.672402Z","submitted_at":"2025-01-08T01:18:14Z","title":"UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:45:20.870973Z"},"links":{"cited_paper":"/paper/2201.07706","citing_paper":"/paper/2501.04213"},"observation_digest":"sha256:9137ecd276ad7e884fe94e66be07f2c8c29d1965a390be8cbf3e006515d67245","observation_id":"b0c287d2-b5cc-42bd-98cd-bcb776dcdaed","resolution":{"observed_at":"2026-08-10T21:45:20.870973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07706","last_updated":"2022-01-19T16:45:16Z","snapshot_observed_at":"2026-08-16T17:27:17.845515Z","submitted_at":"2022-01-19T16:45:16Z","title":"Object Detection in Autonomous Vehicles: Status and Open Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07706","snapshot_observed_at":"2026-08-07T15:04:50.888883Z","title":"Object detection in autonomous vehicles: Status and open challenges,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.16442","last_updated":"2025-05-22T09:30:09Z","snapshot_observed_at":"2026-08-08T21:03:55.462878Z","submitted_at":"2025-05-22T09:30:09Z","title":"MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:04:50.888883Z"},"links":{"cited_paper":"/paper/2201.07706","citing_paper":"/paper/2505.16442"},"observation_digest":"sha256:fbbf21154c96cbce079eca245e23e67c76ce7e239d9a69089b4be3dc177a222e","observation_id":"c0cfa74a-6202-4498-951b-2a129ffe51e9","resolution":{"observed_at":"2026-08-07T15:04:50.888883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07706","last_updated":"2022-01-19T16:45:16Z","snapshot_observed_at":"2026-08-16T17:27:17.845515Z","submitted_at":"2022-01-19T16:45:16Z","title":"Object Detection in Autonomous Vehicles: Status and Open Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07706","snapshot_observed_at":"2026-08-07T14:41:08.477565Z","title":"Object detection in autonomous vehicles: Status and open challenges","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18015","last_updated":"2025-05-23T15:17:45Z","snapshot_observed_at":"2026-08-17T09:23:04.885372Z","submitted_at":"2025-05-23T15:17:45Z","title":"SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:41:08.477565Z"},"links":{"cited_paper":"/paper/2201.07706","citing_paper":"/paper/2505.18015"},"observation_digest":"sha256:be87d0d4480231e2e38945afe49257d752665adb26ef1f2340f42fc4f5e85f32","observation_id":"df2c2351-0121-4c88-ad56-0d8228135e14","resolution":{"observed_at":"2026-08-07T14:41:08.477565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07706","last_updated":"2022-01-19T16:45:16Z","snapshot_observed_at":"2026-08-16T17:27:17.845515Z","submitted_at":"2022-01-19T16:45:16Z","title":"Object Detection in Autonomous Vehicles: Status and Open Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07706","snapshot_observed_at":"2026-08-07T11:24:41.547637Z","title":"arXiv preprint arXiv:2201.07706 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05382","last_updated":"2025-06-03T08:56:37Z","snapshot_observed_at":"2026-08-16T13:10:53.848994Z","submitted_at":"2025-06-03T08:56:37Z","title":"How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:41.547637Z"},"links":{"cited_paper":"/paper/2201.07706","citing_paper":"/paper/2506.05382"},"observation_digest":"sha256:d506638884a348ef91ecce4baad2e65accc5315e4d1bb56aa7cceff8302b56f9","observation_id":"d7d31906-193f-46d9-83dd-0992539f457a","resolution":{"observed_at":"2026-08-07T11:24:41.547637Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07706","last_updated":"2022-01-19T16:45:16Z","snapshot_observed_at":"2026-08-16T17:27:17.845515Z","submitted_at":"2022-01-19T16:45:16Z","title":"Object Detection in Autonomous Vehicles: Status and Open Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07706","snapshot_observed_at":"2026-08-06T15:05:21.380181Z","title":"Object detection in autonomous vehicles: Status and open chal- lenges","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.16782","last_updated":"2025-07-22T17:28:29Z","snapshot_observed_at":"2026-08-15T18:31:40.626478Z","submitted_at":"2025-07-22T17:28:29Z","title":"Task-Specific Zero-shot Quantization-Aware Training for Object Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:05:21.380181Z"},"links":{"cited_paper":"/paper/2201.07706","citing_paper":"/paper/2507.16782"},"observation_digest":"sha256:c8139a1504b10deffc9caaad58a8359f19a274605b701f6734666cea6943d3e6","observation_id":"8d74f97b-7b9b-4174-a3f8-38752fb782a1","resolution":{"observed_at":"2026-08-06T15:05:21.380181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2201.07706/citation-record","integrity":"/paper/2201.07706/integrity","json":"/paper/2201.07706/citation-record.json","paper":"/paper/2201.07706"},"outbound":[],"paper":{"arxiv_id":"2201.07706","last_updated":"2022-01-19T16:45:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T17:27:17.845515Z","submitted_at":"2022-01-19T16:45:16Z","title":"Object Detection in Autonomous Vehicles: Status and Open Challenges"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2201.07706."}