{"as_of":"2026-08-09T13:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e117fa38034986826f14e1e59d7f9f778e3c5a2aee125b27331e0b7f9418b4bb","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T04:08:37.491436Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.11646/citation-record","integrity":"/paper/2607.11646/integrity","json":"/paper/2607.11646/citation-record.json","paper":"/paper/2607.11646"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Beyond conventional vision: Rgb-event fusion for robust object detection in dy- namic traffic scenarios,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:0f2e03929d85ee2fea119d4b7e79db71f3a4ce5456e02be362da25f7d5f98670","observation_id":"113eefbc-a1e9-4c20-9816-3432cd19deb1","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Low-latency automotive vision with event cameras,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:fed4cabb0318fce04d201901a5bf28fbaf09024d5d12e3560304ea04edda07ed","observation_id":"12ed7b15-4c9a-42e2-876a-15a64fc526fa","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Tumtraf emot: Event- based multi-object tracking dataset and baseline for traffic scenarios,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:9f8b70b5f99947a6b195f0e03bcbd2e22f38c259ee40e24bd1f27dec3d08f13e","observation_id":"1c29097e-1bd0-4ad4-b96c-80867d7b6e70","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Dsec: A stereo event camera dataset for driving scenarios,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:d73fdcce9bda97a75913897a97c90aec4baaa25a3d989dbc170797d8b100c093","observation_id":"9022a67a-10f1-4913-8d26-52a785feb148","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08499","last_updated":"2020-01-31T13:35:45Z","snapshot_observed_at":"2026-08-09T11:27:22.265967Z","submitted_at":"2020-01-23T13:40:51Z","title":"A Large Scale Event-based Detection Dataset for Automotive","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.08499","snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"A large scale event-based detection dataset for automotive,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"cited_paper":"/paper/2001.08499","citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:d9994cce34c491796e9e731e8cfd652b0e7e11eb763d177f3ff777e7c0084777","observation_id":"4b510b44-d83b-4977-a3d4-f03f1fc04e8f","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Etram: Event-based traffic monitoring dataset,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:409d263c46e40e18f1451a7654536e20e40eb2fd0fd07e0f8708780c41089a75","observation_id":"4ac291e3-c3ec-414a-a492-fbd7340d9b43","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Visevent: Reliable object tracking via collaboration of frame and event flows,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:8634eec2b0b890d8a9bcc48d8d0cc2996d9e0e5682dffc4af390c275d869615f","observation_id":"50a0b559-9f7e-4616-834f-65ff52e55e77","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Event- based vision: A survey,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:9b77eaf438b10d4ee13ecd63945139dae61e61fdcf7391e2e64643a4b70eb66d","observation_id":"312956e3-e937-49c8-a4af-84057a27b895","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Learning to detect objects with a 1 megapixel event camera,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:9223aceb6a0c7da8fda783b24297345cd15645d58437b168909f51578889e28f","observation_id":"c916ab30-6c49-4c09-9a06-808be8e0d1c1","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12324","last_updated":"2022-11-22T15:14:20Z","snapshot_observed_at":"2026-08-09T12:47:33.088654Z","submitted_at":"2022-11-22T15:14:20Z","title":"Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12324","snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Pushing the limits of asynchronous graph-based object detection with event cameras,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"cited_paper":"/paper/2211.12324","citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:1b4aafd996fe73698b34b589081f8bf65d45df7dade2153fb2ffd56c3928333a","observation_id":"8d26d341-d1d8-43c3-baa9-ac198ad8c1dd","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Aegnn: Asynchronous event-based graph neural networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:1ee96a57c75b3873a5e372e8b094f4512fb5e484004b5a738155ce77cd640cdd","observation_id":"677920fd-14e9-4a5c-b090-5962add213cc","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Scene adaptive sparse transformer for event-based object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:84210e92827c697f7960c92796922a7f819a375e8cba2876866a4065c7f6ac41","observation_id":"8c4911b0-1bd7-46da-9c41-9f8709db6e4b","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Recurrent vision transformers for object detection with event cameras,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:083f202c74fa0aa96d4b71a9da58f413e3de7f26863b75b70bd53c54b1ba3333","observation_id":"6c6f3b46-9ee9-4262-b83c-c5e60792cd26","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Event-based moving object detection and tracking,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:d0692f3ff65bec26118efc117cd4692da73a88d7841ca1e070ddfaa449b72e5f","observation_id":"65b333e3-1694-490a-9b5c-edca29415a21","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Simple online and realtime tracking,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:0d18433e5a1f396c21081f9dafab4838a357edaaf2f6dfc9b5d3131d92438136","observation_id":"d06fb1e7-65fa-4100-bff5-154203b30eb0","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Bytetrack: Multi-object tracking by associating every detection box,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:05c33869cd0a748d0ec1aa05589e5243b0410d62296cf6c54a038c5bb2acfe9b","observation_id":"4d39c4c2-93b8-4b33-9ff4-28e90db1a95d","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.14651","last_updated":"2022-07-07T15:36:49Z","snapshot_observed_at":"2026-08-09T11:43:19.729371Z","submitted_at":"2022-06-29T13:45:03Z","title":"BoT-SORT: Robust Associations Multi-Pedestrian Tracking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.14651","snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Bot-sort: Robust asso- ciations multi-pedestrian tracking,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"cited_paper":"/paper/2206.14651","citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:d2bb07f6557b2c9873ac876dc12a41c8be852430e8dcda630e355ea4b9da51c6","observation_id":"2a8ea865-d599-4187-b97e-925392f84127","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"The multivehicle stereo event camera dataset: An event camera dataset for 3d perception,","venue":null,"work_id":null,"year":2032},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:4a3b60ec1d5f606b8416b4c116ba6a58712bd3f212ae3f44c5f2be7f77c4a83b","observation_id":"81690df5-d9d6-4a68-9bc6-7ee355095511","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Tumtraf event: Calibration and fusion resulting in a dataset for roadside event-based and rgb cameras,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:8c81b064a2eebfedfe37f584d361b87a663d03fabd6df48def80c869c3329370","observation_id":"d9d7884b-8d50-41c8-9997-c5a534c81132","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and slam,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:a5b15fc58eea71417b667a0844232fec5551865fcdf9d8843e0b1c4dd0ab7122","observation_id":"79508c5f-ff04-4873-bb98-b0e37d65fdf9","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Esim: an open event camera simulator,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:da4108c85a84ea7fb32fba90d2410e0fa292871b242f08b249d0855b605a8bf0","observation_id":"68ea8f1f-787e-48b8-afd4-c02a3f4eefad","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"v2e: From video frames to realistic dvs events,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:40e3618738d528272cbd3a0a6c1853f14e8f4bba411b219a5b1be1b5ac14ebea","observation_id":"14c6d45d-47b4-4e94-9885-743c5a400747","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10540","last_updated":"2024-04-19T20:15:45Z","snapshot_observed_at":"2026-08-09T13:10:38.248330Z","submitted_at":"2024-04-12T20:40:12Z","title":"SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10540","snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Sevd: Synthetic event-based vision dataset for ego and fixed traffic perception,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"cited_paper":"/paper/2404.10540","citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:9f3f84e26fe91bf13286bad18d62f54b511b22b01c87281da2c88848c15f8f77","observation_id":"be66ad67-22d7-4d73-a90e-cf78d9cc0d16","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.13722","last_updated":"2025-06-16T17:27:43Z","snapshot_observed_at":"2026-08-09T09:18:21.736562Z","submitted_at":"2025-06-16T17:27:43Z","title":"How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.13722","snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"How real is carlas dynamic vision sensor? a study on the sim-to-real gap in traffic object detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"cited_paper":"/paper/2506.13722","citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:473db786d263de027e9de9b8008c4254cd68fc0f10e9ac9c14bbca190040587d","observation_id":"724903db-c4a7-47f8-a4f2-2a23c5435499","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17725","last_updated":"2024-10-23T09:55:22Z","snapshot_observed_at":"2026-07-06T19:38:22.461739Z","submitted_at":"2024-10-23T09:55:22Z","title":"YOLOv11: An Overview of the Key Architectural Enhancements","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17725","snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Yolov11: An overview of the key architectural enhancements,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"cited_paper":"/paper/2410.17725","citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:601309b0aa420abe5c657304bcfe1f1a11eab628951b7ca5a8494770d62c5451","observation_id":"4717681b-8817-4f74-ac95-58cd3ecd4fb9","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Shining light on the dvs pixel: A tutorial and discussion about biasing and optimization,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:086e3d77b594b1a9b26f68cde168662e8e09269ce5f0b5b6c8622238e291bc0a","observation_id":"2dae2959-67ee-4255-bbfe-cf6ebd66580e","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":26},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.11646."}