{"as_of":"2026-08-08T12:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ffe3d1f9da139eeebfe73966ef143142c96fe01b679110aba2fbbf96c92455a5","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T13:23:01.053709Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2605.24691/citation-record","integrity":"/paper/2605.24691/integrity","json":"/paper/2605.24691/citation-record.json","paper":"/paper/2605.24691"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.605001Z","title":"Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw- Data,","venue":null,"work_id":"9c4d1d11-2411-4d8c-a59e-24a523ff345e","year":2008},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:86f2d5becdb0e74584d27ec565d086dc6377531a674103ec7faee9766f8c56f3","observation_id":"1abdf03f-ff26-4714-ba18-c098e58b1270","resolution":{"observed_at":"2026-07-09T02:15:55.606398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.606994Z","title":"Lightness and Retinex Theory,","venue":null,"work_id":"81182a38-7d47-4b5f-82be-0b7bb5e596a0","year":1971},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:ef2dd1b2aa00354a4893a78360d6d49895df3d560071c6009a094347a9b02006","observation_id":"54c532e1-563e-4f35-9f83-254344e2c532","resolution":{"observed_at":"2026-07-09T02:15:55.608134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.591909Z","title":"Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising,","venue":null,"work_id":"ee04620a-71df-44b7-9b45-083436137468","year":2017},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:0d3079ff313f9c22ff3c04b525c98047f8a6b4753bb20f0f5d7ffa327331a5e4","observation_id":"57d20bbe-ea1c-40f7-af2f-bb5fe704aff4","resolution":{"observed_at":"2026-07-09T02:15:55.593111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.593684Z","title":"Event-Based Vision: A Survey,","venue":null,"work_id":"a54e07b5-74fa-4e27-a7e9-3ef4b282ba0c","year":2022},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:82dd8edac9e4c437325e7dbe60515b4d7b84142903d1c37d18e371e5fef151b6","observation_id":"bbfc6412-b0f7-409a-be0e-ea522c40d0a3","resolution":{"observed_at":"2026-07-09T02:15:55.594843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.595410Z","title":"Recent Event Camera Innovations: A Survey,","venue":null,"work_id":"f85aea0b-21cc-4b36-aa35-4fc8b041f02a","year":2024},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:8a4df938e35a1e4a2bc1cc2632fcf68708748ffd9905a942f5e8f3f669398fe7","observation_id":"0899765c-0fee-4671-bfd9-3f0571719398","resolution":{"observed_at":"2026-07-09T02:15:55.596614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.602958Z","title":"Unsupervised Event- Based Learning of Optical Flow, Depth, and Egomotion,","venue":null,"work_id":"e0ccaccb-a5da-448e-a20f-bdcd55630781","year":2019},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:16affa1ce6b2513fdebd34604de7c5969708f8e10f1a7d3997b626579fe6916c","observation_id":"d0342577-4291-4bac-a83c-22467ad7681b","resolution":{"observed_at":"2026-07-09T02:15:55.604360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.588253Z","title":"Deep Residual Learning for Image Recognition,","venue":null,"work_id":"ab54d471-193f-48e6-8676-ba0d2b17eec3","year":2016},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:a0f350683a5a74a980174a1c9a476a5367c097aace96de06083cbfb233c15bf0","observation_id":"a0e4e94b-b6fb-4069-a237-28f174103710","resolution":{"observed_at":"2026-07-09T02:15:55.589440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"1804.02767","last_updated":"2018-04-08T22:27:57Z","snapshot_observed_at":"2026-08-06T11:09:16.409556Z","submitted_at":"2018-04-08T22:27:57Z","title":"YOLOv3: An Incremental Improvement","version":1},"cited_work":{"arxiv_id":"1804.02767","doi":"10.48550/arxiv.1804.02767","metadata_source":"pith","pith_arxiv_id":"1804.02767","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"YOLOv3: An Incremental Improvement","venue":"cs.CV","work_id":"d737b3cc-9bd1-43d6-8310-c91e64b510f7","year":2018},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"cited_paper":"/paper/1804.02767","citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:83b829b8b424e634652f974bf5fe41bb5eb17bc8022881c097c70201c7fa08fa","observation_id":"3506f557-35eb-4410-a4cd-8b1bdaacddb6","resolution":{"observed_at":"2026-06-30T13:24:39.999910Z","resolver_source":"local_arxiv","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":"2026-07-12T23:51:10.097273+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T23:51:10.097273+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.599046Z","title":"Contrast Limited Adaptive Histogram Equalization,","venue":null,"work_id":"0d2f841e-cdad-4e38-8a8e-82d8a7b98226","year":1994},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:51ecaf9f2843f2f8095449e1561ba1cf76a08572049a2e84f5edd7d0765ef097","observation_id":"9652422a-234a-47f7-96c0-c2709c68aa5f","resolution":{"observed_at":"2026-07-09T02:15:55.600393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.584549Z","title":"Innovative exploration techniques: Utilizing IoT-enabled robots for safe and efficient underground tunnel investigation,","venue":null,"work_id":"e774db63-d479-467d-8154-8035a24ecdb1","year":2023},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:dd3d917a4218a49f15ef5399af780e7a6365c10efbe44dc6dac84f8e7c251b34","observation_id":"3ce87a17-49bb-495f-ac40-f9f9e13a57bb","resolution":{"observed_at":"2026-07-09T02:15:55.585838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.600980Z","title":"Event-Assisted Low-Light Video Object Segmentation,","venue":null,"work_id":"23966073-1661-4e1f-aba3-55b9357fa60a","year":2024},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:621fea2371a8929b247e55cf62484083147932ebbd47d318cfd13415d676569e","observation_id":"5b02bfd6-1de5-4cfe-9354-e82b8c4e11a7","resolution":{"observed_at":"2026-07-09T02:15:55.602199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.582651Z","title":"Seeing Motion at Nighttime with an Event Camera,","venue":null,"work_id":"ea226c9a-d98d-4768-a117-9726fc647a33","year":2024},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:66412d27ce6b57c7a4a5a6d615898569a9314a61d74fe6a36322ae3713ebf524","observation_id":"93327bd1-1729-48ff-aebb-22ada0e5a54d","resolution":{"observed_at":"2026-07-09T02:15:55.583924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.575287Z","title":"Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space,","venue":null,"work_id":"a508159c-d4d9-4b5d-8989-3249e1e13efe","year":2025},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:748e4f3459a963ab0957a0cc51c105d129a205c793c47f5d668d1ea16e741d5e","observation_id":"73b914ff-1172-4ede-9d25-dae246fb5463","resolution":{"observed_at":"2026-07-09T02:15:55.576582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.597201Z","title":"Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions,","venue":null,"work_id":"36f02057-602e-4ccc-8a12-0211341f57af","year":2022},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:cba83b1f36937b0b6104620c05ed957da7d2fa574352323a847386f8b4084f6e","observation_id":"b46ad67b-33d9-43e5-90d2-a356dbb5e5f2","resolution":{"observed_at":"2026-07-09T02:15:55.598467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.586393Z","title":"Event- Based Sensing for Improved Traffic Detection and Tracking in Intelligent Transport Systems Toward Sustainable Mobility,","venue":null,"work_id":"d8a59564-b2f5-4053-8fdb-7a3fb69a1981","year":2024},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:0d72dbf625b9df38bc80df1c00beb45b14308a1a51ecbf18f1376db9db0dbb5a","observation_id":"44428985-c80d-4cfe-afe3-b17fb74bc894","resolution":{"observed_at":"2026-07-09T02:15:55.587671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.589983Z","title":"eTraM: Event-Based Traffic Monitoring Dataset,","venue":null,"work_id":"63073eef-2bfb-4adb-9ec7-5c7dd6e1d839","year":2024},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:147eaa021d5718edc0b4252fd3e597c635cad199faf98bda70f6e91e70ddc4db","observation_id":"2c6a307e-38af-4b45-a04f-5e4b186c7575","resolution":{"observed_at":"2026-07-09T02:15:55.591182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.579048Z","title":"Enhancing Traffic Object Detection in Variable Illumination With RGB-Event Fusion,","venue":null,"work_id":"52e527da-38c4-4e62-bede-cdaceb31face","year":2024},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:6cb4d9e531d850fd5649fcb9b76d237fea127b50a922f596a524f6a45df86829","observation_id":"1c5e971e-67a7-4118-806e-2b1e2d1ab73a","resolution":{"observed_at":"2026-07-09T02:15:55.580289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.580828Z","title":"Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios,","venue":null,"work_id":"d9ee76ba-6151-4570-9222-b717722bf06c","year":2025},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:de17f16c665fc3287a8f7cb7ec700ca172f2a23ccea7626c248b65b6f24c336b","observation_id":"c802ee5e-7643-4e41-a9f4-f5a03e312328","resolution":{"observed_at":"2026-07-09T02:15:55.582066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2506.13722","last_updated":"2025-06-16T17:27:43Z","snapshot_observed_at":"2026-08-07T00:24:55.309727Z","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":"2506.13722","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.13722","snapshot_observed_at":"2026-06-30T13:24:40.001148Z","title":"How real is CARLA’s dynamic vision sensor? A study on the sim-to-real gap in traffic object detection,","venue":null,"work_id":"3e3a5dc8-2432-4205-ab44-83d4fbc22cd1","year":2025},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"cited_paper":"/paper/2506.13722","citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:68b2582f416d68294c7ecbc700ff813d1ea8ad9291606d74794a1a97af748669","observation_id":"297a2c06-c7a0-47ca-8e70-fc0bc29b90b2","resolution":{"observed_at":"2026-06-30T13:24:40.002627Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.577196Z","title":"Beyond frames: The future of object detection and tracking with event cameras,","venue":null,"work_id":"c7ee7165-52fe-4c47-9abf-684442747725","year":2025},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:c4267272f786d58c60febe0a6bba962c32bc07d80b1fa7aeba73edede85bb854","observation_id":"255eeb24-a2e8-4b98-ae2e-f0004b12e411","resolution":{"observed_at":"2026-07-09T02:15:55.578479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T02:15:55.573384Z","title":"Advancing autonomy: LiDAR-powered human detection and tracking for safe and efficient systems,","venue":null,"work_id":"a5399b49-6010-4a86-91e5-db87a66357f1","year":2025},"citing_paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T13:23:01.053709Z"},"links":{"citing_paper":"/paper/2605.24691"},"observation_digest":"sha256:b330d83b1483dc12cd8e730518fce8a20a553694f689d0cfafd146bd5eff3bc8","observation_id":"23b7fa63-c9d9-4899-b505-dafbcec352c9","resolution":{"observed_at":"2026-07-09T02:15:55.574750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2605.24691","last_updated":"2026-05-23T18:01:48Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:34:43.210149Z","submitted_at":"2026-05-23T18:01:48Z","title":"AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":19},"total_outbound_references":21},"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 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2605.24691."}