{"as_of":"2026-08-07T18:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b729e06713ab8b08a13f427df77f767814c0f42ffb6fd15fdd4745629f7b322","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T12:09:06.286231Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2509.01868/citation-record","integrity":"/paper/2509.01868/integrity","json":"/paper/2509.01868/citation-record.json","paper":"/paper/2509.01868"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:09:25.470703Z","title":"A survey of autonomous driving: Common practices and emerging technologies,","venue":null,"work_id":"8363b510-1cd3-4f46-8946-bb403825fffa","year":2020},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:56.729128Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:721f194e54c79fde53831ee81c26bed56097b2f96b9a2cc2875d9c22bd512fd7","observation_id":"ee346929-0e2b-4ad9-9a54-6977e9be43da","resolution":{"observed_at":"2026-08-05T12:09:25.612867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:25.339740Z","title":"A survey of autonomous driving from a deep learning perspective,","venue":null,"work_id":"8f112314-36bb-43e5-8cf6-a13f1a0e8eba","year":2025},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:56.829409Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:d45f0042baa0739000bd7bf4f7c7f5c3abc43124608d758c90cfdde7d75617e3","observation_id":"ddd5f7ec-7b00-4f44-9015-5e8ff368ac8b","resolution":{"observed_at":"2026-08-05T12:09:25.401245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:25.220968Z","title":"Toward ensuring safety for autonomous driving perception: Standardization progress, research advances, and perspectives,","venue":null,"work_id":"ae7a6c1d-2749-4249-bd47-5568c9fd4c9b","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:56.953316Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:2a237e13a4ca78bbadbb75d73cfcf9aedbb7438af8b051ca90355c642e19a05d","observation_id":"a8b455b1-a31d-47cc-9d9f-3d07e9268395","resolution":{"observed_at":"2026-08-05T12:09:25.286357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:25.068286Z","title":"Autonomous vehicles perception (avp) using deep learning: Modeling, assessment, and challenges,","venue":null,"work_id":"3e017d1d-628b-41a5-9837-0d5eb9e2fdc5","year":2022},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:57.146287Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:40aade33cd7909a55f067443521ba8efb66ea68ebc267e25626128b9dde7d368","observation_id":"d5d0d159-4991-4c57-8b87-945729b560b4","resolution":{"observed_at":"2026-08-05T12:09:25.153279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:24.691089Z","title":"Federated learning for internet of things: A comprehensive survey,","venue":null,"work_id":"5b5c8551-78b5-4ce2-be61-a86030972233","year":2021},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:57.305947Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:1f8fda0194781a86541c16c30054a8b34b1878f906d489adaf7e65d7478afeb1","observation_id":"006c649c-b7f0-406d-b27f-d50ed2178821","resolution":{"observed_at":"2026-08-05T12:09:24.856499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:24.326101Z","title":"A secure personalized federated learning algorithm for autonomous driving,","venue":null,"work_id":"e3e22335-1b89-44ab-95e9-bf7a707c55d1","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:57.427895Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:a0d557461fd453c433954221f243ccd6ceab0cadc263810f432a1f4c1d4a5169","observation_id":"bf7c41c9-6f6f-48e4-b28c-8ce5da71fe8e","resolution":{"observed_at":"2026-08-05T12:09:24.537531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:23.893494Z","title":"Federated learning for connected and automated vehicles: A survey of existing approaches and challenges,","venue":null,"work_id":"1ea941db-e40f-495d-882b-c7b2fef9a569","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:57.546966Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:a701a476f0776ad18d0ec2fea9ff0631ce94cff8367b34d1f84c1da7361de664","observation_id":"a36d2700-d405-48b1-83ea-d9b25d562af6","resolution":{"observed_at":"2026-08-05T12:09:24.084081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:23.586001Z","title":"A survey on federated learning in intelligent transportation systems,","venue":null,"work_id":"fa4051b3-a94c-4c4e-b336-fb1ba7794095","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:57.694563Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:f57831ff7d4ece7948c00407601c460be7cf3454d8ef8e96de8ac7a8f34e18c4","observation_id":"02d08ad4-fac5-4da2-a7f9-95ef79731099","resolution":{"observed_at":"2026-08-05T12:09:23.736758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:08:57.871857Z","title":"A survey on federated learning for resource-constrained iot devices,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:57.871857Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:e2b7d2461c7915394f91f736d23ce7b65815ea29d98a20c081a30210982e6e07","observation_id":"aa641369-0740-4114-8245-e008fb05fcf6","resolution":{"observed_at":"2026-08-05T12:08:57.871857Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:09:23.161604Z","title":"Federated learning in vehicular networks,","venue":null,"work_id":"dc289baa-b297-4ef1-9955-7fdac96dc849","year":2022},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:57.998130Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:dba26bc258a4afb4ed7f2ee891a4bcccee0b05e0f3606047a4df3167ed2fcc37","observation_id":"0bb54dc8-a049-40a9-b145-22a0c0fbc921","resolution":{"observed_at":"2026-08-05T12:09:23.366520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:22.865546Z","title":"Client selection for federated learning in vehicular edge computing: A deep reinforcement learning approach,","venue":null,"work_id":"870eb7d1-296a-4bbf-8408-849dae4d0932","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:58.089647Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:9ee7242ff721e723e62b7ba94d299c1fa1758f38afbd8e0a6d6e4ea2cd4b0f69","observation_id":"c883fe1c-08d0-4230-a66c-7ea425a3bebc","resolution":{"observed_at":"2026-08-05T12:09:23.006937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:22.445081Z","title":"Federated learning with non-iid data: A survey,","venue":null,"work_id":"0acae1fb-a2c2-41c3-8e05-0bf7ac2c3317","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:58.184064Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:e1e77b8a4afec24716ec01c7bf0d9f0ada8e0560f8e9504e15f10f5900db1c49","observation_id":"10d710ef-544f-43ee-a7b1-96078f3ec72c","resolution":{"observed_at":"2026-08-05T12:09:22.699333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00128","last_updated":"2024-02-29T18:58:43Z","snapshot_observed_at":"2026-08-01T23:02:36.054530Z","submitted_at":"2024-01-31T19:12:56Z","title":"Real-time Traffic Object Detection for Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2402.00128","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.00128","snapshot_observed_at":"2026-08-05T12:09:07.778701Z","title":"Real-time Traffic Object Detection for Autonomous Driving","venue":"cs.CV","work_id":"a5630700-ef87-4b1c-a4dc-a284cabd3491","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:58.313636Z"},"links":{"cited_paper":"/paper/2402.00128","citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:55e3f07b85d1076ef98f0fd484bad0f1570cf42cb43d168899a9a40688d9c8ed","observation_id":"0020ca3e-a1f6-4c88-bccf-78311929c917","resolution":{"observed_at":"2026-08-05T12:09:07.861954Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:22.039945Z","title":"Squeezedet: Unified, small, low power fully convolutional neural networks for real-time object detection for autonomous driving,","venue":null,"work_id":"8a5fc226-fb77-4844-b329-be051c6d4027","year":2017},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:58.447099Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:8ba6b0488017b9ccb3300376082187d99a5e9b695373059379fe275c010585c7","observation_id":"cb8997d6-5009-48e7-92b7-960af81b157e","resolution":{"observed_at":"2026-08-05T12:09:22.261835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:21.672504Z","title":"A review and comparative study on probabilistic object detection in autonomous driv- ing,","venue":null,"work_id":"671ef140-46b4-44a3-a392-69d2a1b7985d","year":2021},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:58.613744Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:5f08381f10e49bd109cc9fc1708c9988bed5d779fe088aec20a01deff791bd83","observation_id":"c350c5c5-bd19-4774-aedb-adb46e54863f","resolution":{"observed_at":"2026-08-05T12:09:21.813483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:21.379318Z","title":"A deep learning-based hybrid framework for object detection and recognition in autonomous driving,","venue":null,"work_id":"5ee3b020-8f25-4570-b2ea-3090a039e079","year":2020},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:58.724356Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:2a3d8a30ba78e4b6d871d36c1d8e5909ff1d6cc76567d2ce2d45d0d9dd7d9b8f","observation_id":"560011f8-f8c3-4b10-ab29-8b9e3f04b65a","resolution":{"observed_at":"2026-08-05T12:09:21.518432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:21.000907Z","title":"Toward performing image classification and object detection with convolutional neural networks in autonomous driving systems: A survey,","venue":null,"work_id":"fe3e3dd4-04f3-46d6-983c-27772ba9dbd3","year":2022},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:58.853099Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:3f99fd332f3737575e0b08597f0d1a07887b08f86bff08ae1ce09995ea0927cb","observation_id":"c695a08c-ec66-4077-805a-a4acb8aa9a03","resolution":{"observed_at":"2026-08-05T12:09:21.205452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:20.625056Z","title":"Navigating the yolo landscape: A comparative study of object detection models for emotion recognition,","venue":null,"work_id":"f320f4ee-7405-4970-89f3-dc9bbf6834b1","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:58.945101Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:0ad8073d6d7252f8e96c24fd15f3d4bd6ea8ec9825d53ec9392b126249bd6e9d","observation_id":"3bac2070-9920-42ed-b5f5-c447a54470da","resolution":{"observed_at":"2026-08-05T12:09:20.837156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.04159","last_updated":"2021-03-18T03:14:26Z","snapshot_observed_at":"2026-07-06T10:02:45.105181Z","submitted_at":"2020-10-08T17:59:21Z","title":"Deformable DETR: Deformable Transformers for End-to-End Object Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.04159","snapshot_observed_at":"2026-08-05T12:08:59.082076Z","title":"Deformable detr: Deformable transformers for end-to-end object detection,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:59.082076Z"},"links":{"cited_paper":"/paper/2010.04159","citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:327305abc53e7cc6559a86beebe69176a33344df3966e925f24f4f9070896ba9","observation_id":"1872a74b-8771-4553-97db-61fe9404c818","resolution":{"observed_at":"2026-08-05T12:08:59.082076Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:09:20.279410Z","title":"Hydraspace: computational data storage for autonomous vehicles,","venue":null,"work_id":"127c6801-01ec-4634-8472-e48ec52e88e4","year":2020},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:59.225581Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:fc6cae38c2242526d6a6231308ad127914bcc6eefb178372d5f68f7cd0b9d3d0","observation_id":"88941e77-81e7-4a2e-8510-f174e6fa25a9","resolution":{"observed_at":"2026-08-05T12:09:20.424300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.04517","last_updated":"2018-08-14T03:57:44Z","snapshot_observed_at":"2026-07-06T06:55:32.377337Z","submitted_at":"2018-08-14T03:57:44Z","title":"Feasibility of 5G mm-wave communication for connected autonomous vehicles","version":1},"cited_work":{"arxiv_id":"1808.04517","doi":null,"metadata_source":"pith","pith_arxiv_id":"1808.04517","snapshot_observed_at":"2026-08-05T12:09:07.542036Z","title":"Feasibility of 5G mm-wave communication for connected autonomous vehicles","venue":"cs.NI","work_id":"74531e3f-a7a8-48e1-be54-a8dd7cf4469b","year":2018},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:59.300040Z"},"links":{"cited_paper":"/paper/1808.04517","citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:9262b96668a84af46e31a6b829723f44cce69a021373bdbf6f67b2bc1d162e85","observation_id":"e0ef81a9-f220-4ca9-bde8-700042c94888","resolution":{"observed_at":"2026-08-05T12:09:07.631498Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:19.890446Z","title":"Data storage system requirement for autonomous vehicle,","venue":null,"work_id":"a878389b-02cc-4c90-aaec-67d6f611ebc6","year":2022},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:59.460049Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:e34133097861ba0e19cfb739bb10c28291ff33a666387e9c06aad2470c270002","observation_id":"4af508c0-47a6-4d40-8cdb-b009fa8968ec","resolution":{"observed_at":"2026-08-05T12:09:20.070183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00956","last_updated":"2021-12-02T03:19:21Z","snapshot_observed_at":"2026-07-06T12:14:28.455694Z","submitted_at":"2021-12-02T03:19:21Z","title":"Personalized Federated Learning of Driver Prediction Models for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2112.00956","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.00956","snapshot_observed_at":"2026-08-05T12:09:07.250222Z","title":"Personalized Federated Learning of Driver Prediction Models for Autonomous Driving","venue":"cs.LG","work_id":"f972e5df-de1d-4b4b-9927-e20f2ac5ac87","year":2021},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:59.581585Z"},"links":{"cited_paper":"/paper/2112.00956","citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:b254cb67a204d05f72a32629febb8703a71bf906557c6b499fdb227de73be827","observation_id":"09bb3f87-0a1b-4788-9a88-344db4a4df1a","resolution":{"observed_at":"2026-08-05T12:09:07.388034Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:19.565685Z","title":"Privacy-preserved federated learning for autonomous driving,","venue":null,"work_id":"c6978de2-291e-40eb-903a-b9b679526893","year":2021},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:59.692220Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:4151db921dfccbf2de0b300096425067076429850d9a1aa52b1c33adcbf94057","observation_id":"f477ac16-dc9e-4ad1-bc0c-9b8a68c84549","resolution":{"observed_at":"2026-08-05T12:09:19.746674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:19.283143Z","title":"Privacy and bias in edge computing,","venue":null,"work_id":"6db05975-5fd6-4bf1-b1f9-25ad50414c39","year":2025},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:59.824405Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:040111c12a0f7e377e25c3651cff31cd917f64e0d6ed1eae8a6ca157ea1a60b1","observation_id":"53e1ee0f-6763-47da-bbc7-dc8377b8a0d6","resolution":{"observed_at":"2026-08-05T12:09:19.412874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:19.007118Z","title":"An incentive mechanism of incorporating supervision game for federated learning in autonomous driving,","venue":null,"work_id":"3ae5cf60-3f2e-41ad-be82-253810dc56f2","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T12:08:59.922158Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:e7b25c72603b3e12d86409a99ba721a22f94b9f6fc0797f517c994d675757de6","observation_id":"57cf37cf-222c-4ae2-812e-fef3a7e0b7c6","resolution":{"observed_at":"2026-08-05T12:09:19.166298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:18.813026Z","title":"Adaptive segmentation enhanced asynchronous federated learning for sustainable intelligent transportation systems,","venue":null,"work_id":"117f68c2-1441-4078-8d2b-431923c3c5ae","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:00.053318Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:1d897b4ee6299b6ccc89f79473272b519538413ce0f248168b0892219f345f2f","observation_id":"fc69624c-c68c-42ec-a9fc-eacee9cf030b","resolution":{"observed_at":"2026-08-05T12:09:18.898122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:18.596875Z","title":"Federated and asynchronized learning for autonomous and intelligent things,","venue":null,"work_id":"c080f8a0-f0a3-401d-8ea3-5145c0fdadc5","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:00.203354Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:38a1a68034bf6eb22a1a00653c0de690079cde3d7df7082d5916912f3c710022","observation_id":"c0253e9e-249c-442f-9ac9-8255f809c17e","resolution":{"observed_at":"2026-08-05T12:09:18.709711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:18.430557Z","title":"Large model- assisted federated learning for object detection of autonomous vehicles in edge,","venue":null,"work_id":"fa2d112f-9f14-4f26-8abe-e4f9b2053aac","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:00.294380Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:b3c9e952f8d274b79694c2a4f48d890b5d1d643b43b25a424a43c99a582326a8","observation_id":"cbd3b0cb-e56a-4bda-933d-05c1be2b01b7","resolution":{"observed_at":"2026-08-05T12:09:18.494445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:18.208975Z","title":"Parameter-efficient federated cooperative learning for 3d object detection in autonomous driving,","venue":null,"work_id":"bb811c15-6734-413d-a9a6-ae32af788feb","year":2025},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:00.380268Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:4a09a19c570c7d0c63d469e4ba63c0ebd57fd21ac3e27d6beafdaa7662b6410c","observation_id":"d2e585fc-ff3d-4f9c-a397-6a59121841d7","resolution":{"observed_at":"2026-08-05T12:09:18.338182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:17.936644Z","title":"Toward efficient and secure object detection with sparse federated training over internet of vehicles,","venue":null,"work_id":"9a29feba-0539-4b51-9ec2-c751af470c77","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:00.496448Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:7b02a0b43fca8b454f8536f52243cbc932b4561aa1075156acf63610881fca5a","observation_id":"7be9dd25-5438-4c99-be9d-563608ce19bb","resolution":{"observed_at":"2026-08-05T12:09:18.033409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:17.653113Z","title":"Vehicular federated learning for pedestrian detection under adverse image conditions,","venue":null,"work_id":"885b37e3-765d-46d3-9ae5-c6a5ee986336","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:00.628024Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:dc0383e8fe8a424c900a9e4c94f27f216f38d3a4052b4b3730457875f6c054ba","observation_id":"e079dbf3-1b3d-4a78-a975-5e0a38efd952","resolution":{"observed_at":"2026-08-05T12:09:17.771185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:17.338610Z","title":"Federated semi-supervised learning for object detection in autonomous driving,","venue":null,"work_id":"115730ea-4aa8-41a9-9a60-ca343f43a06e","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:00.805191Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:ce3521ec7748f365942133ba2be4906c9e56012c70961afbb680329a1300e8e1","observation_id":"bc4c09c7-ca6f-45aa-98ef-989ae106a014","resolution":{"observed_at":"2026-08-05T12:09:17.470970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01108","last_updated":"2024-05-02T09:14:59Z","snapshot_observed_at":"2026-08-02T15:58:39.236327Z","submitted_at":"2024-05-02T09:14:59Z","title":"Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection","version":1},"cited_work":{"arxiv_id":"2405.01108","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.01108","snapshot_observed_at":"2026-08-05T12:09:07.004333Z","title":"Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection","venue":"cs.CV","work_id":"bc50b141-b046-42aa-ace3-294d8596c00a","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:00.913396Z"},"links":{"cited_paper":"/paper/2405.01108","citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:ee4c11cdbad8facda697447ca6f4b517a006cf1e8d575e2390d6b5bada72379a","observation_id":"2f18399d-365e-44e3-9f26-344ca4b7eec1","resolution":{"observed_at":"2026-08-05T12:09:07.134272Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03611","last_updated":"2024-06-05T20:06:59Z","snapshot_observed_at":"2026-07-06T18:26:10.408035Z","submitted_at":"2024-06-05T20:06:59Z","title":"FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles","version":1},"cited_work":{"arxiv_id":"2406.03611","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.03611","snapshot_observed_at":"2026-08-05T12:09:06.765398Z","title":"FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles","venue":"cs.LG","work_id":"e7f4fe16-6896-47d1-bc82-f01feb05af54","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:01.050689Z"},"links":{"cited_paper":"/paper/2406.03611","citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:61061a93acb1dc3b74ca5917d0e3003ab2686adc70c036b6481fe58dac8fd3c5","observation_id":"2d6f11be-6abc-46a1-b3d8-5cc38c2d03a8","resolution":{"observed_at":"2026-08-05T12:09:06.841707Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:17.079745Z","title":"Towards continual federated learning of monocular depth for autonomous vehicles,","venue":null,"work_id":"19b5ca50-3d5b-4a33-b8a3-49254a935916","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:01.188256Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:a0fd7bb6c623caf0520179a6268cffdd01eafe44bdd345bc7fe4d08ec26965b9","observation_id":"dede3c01-f7db-45d6-b34f-fbd658907d28","resolution":{"observed_at":"2026-08-05T12:09:17.218982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:16.840159Z","title":"Federated learning for object detection in autonomous vehi- cles,","venue":null,"work_id":"74ea11a8-c568-42bb-b8c9-e253735dcf58","year":2021},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:01.302945Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:ea7112cc8412bc76f9a55d864b001c5e3efd09b7b7015fd3e6fb9e29d8cccd9e","observation_id":"0699ad29-4c81-46da-8655-6621589aca4b","resolution":{"observed_at":"2026-08-05T12:09:16.986441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:16.637137Z","title":"Explainable federated learning based secure and transparent object detection model for autonomous vehicles,","venue":null,"work_id":"85e8c287-4269-4b04-a411-da631f027fe1","year":2025},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:01.399468Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:42c41f20eb5dee7e49bb357b3f3939f0dc65ad2f1187e747301d2a956eec363a","observation_id":"fe777ee3-dbc2-4b2e-a14d-e4420cab54ee","resolution":{"observed_at":"2026-08-05T12:09:16.719109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:16.378946Z","title":"Autofed: Heterogeneity- aware federated multimodal learning for robust autonomous driving,","venue":null,"work_id":"49377be3-3e02-4300-ab4e-e59ec2ce3185","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:01.542401Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:140ef28b585cef99fd4deca149595afa714250691fcdea68e6d0524320004a49","observation_id":"b4852f6a-e4d1-4143-ab07-72002171d9e6","resolution":{"observed_at":"2026-08-05T12:09:16.499835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:16.140780Z","title":"Federated coopera- tive 3d object detection for autonomous driving,","venue":null,"work_id":"e1805b0b-14be-4ee2-b239-d0f38ec98bca","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:01.649115Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:4be1f4f48a61ff049a8f844c9330b9fdf61b69ee22bde1792e13172016cddb58","observation_id":"5f431acc-883f-4307-bc8f-5469ff8fc68b","resolution":{"observed_at":"2026-08-05T12:09:16.302654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:15.833144Z","title":"Fedbevt: Federated learning bird’s eye view perception transformer in road traffic systems,","venue":null,"work_id":"b6b2af72-986a-47bd-9eff-676fb94c309c","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:01.726937Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:f80c762acabdf95f4805fbe7869a0320e868d2c416277ad36e2b3934f8569f1f","observation_id":"d19b4564-56d5-4880-ab53-8d1dae0a9c4e","resolution":{"observed_at":"2026-08-05T12:09:16.003909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:15.558423Z","title":"On the federated learning framework for cooperative perception,","venue":null,"work_id":"4e1a1dd5-6874-45e7-abb6-b2acd03ff207","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:01.858336Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:02a9bad4f318fdd9d75bb7dbf5bec056f132a9c54d2a8199e9451f427cf1c6c4","observation_id":"b96f1d1b-ffe5-481b-9be1-9e5303f25783","resolution":{"observed_at":"2026-08-05T12:09:15.683363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:15.278510Z","title":"Federated deep learning meets autonomous vehicle perception: Design and verification,","venue":null,"work_id":"ef21fe22-95bb-4c2f-8f27-75509100a251","year":2022},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:01.970866Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:5ba1ddee8f0fa26d04699f8dcedf69b05cbe3f1e4023d4c30fe0613facd3c892","observation_id":"ff2e5e25-8468-4ff2-9449-dee7bd3457b0","resolution":{"observed_at":"2026-08-05T12:09:15.457073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:15.019563Z","title":"A secure object detection technique for intelligent transportation systems,","venue":null,"work_id":"d5c61b31-ef32-428d-a163-eb78ea6e19b7","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:02.101617Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:30d1bc31c42c4a4c520cf8a3687e913ec626d75513b1042f0bd370fb6f4fd5bb","observation_id":"f2ae4392-f7f2-4867-b42a-bd6e8f63d853","resolution":{"observed_at":"2026-08-05T12:09:15.131402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:14.706225Z","title":"Cooperative driving of connected autonomous vehicles in heterogeneous mixed traffic: A game theoretic approach,","venue":null,"work_id":"cacf3005-c228-427e-9291-3cb630582b1a","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:02.265106Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:fad4477eb32d3e21a9eff495551a04c66501ceffcfe2b2d3e4a974b8336db7c8","observation_id":"15fbcd3d-5232-4c62-be0e-f7e43cca7f67","resolution":{"observed_at":"2026-08-05T12:09:14.795322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15932","last_updated":"2023-08-11T04:17:11Z","snapshot_observed_at":"2026-07-06T15:47:38.256580Z","submitted_at":"2023-06-28T05:33:11Z","title":"NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data","version":2},"cited_work":{"arxiv_id":"2306.15932","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.15932","snapshot_observed_at":"2026-08-05T12:09:06.481151Z","title":"NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data","venue":"cs.CV","work_id":"733d5119-b83f-48a3-87fd-572cf323b65a","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:02.346563Z"},"links":{"cited_paper":"/paper/2306.15932","citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:df0544e385ba548e907b2bd783148445fb1bf2419ba1a69eef91ede5a1698104","observation_id":"8e9ffc49-6183-4e1a-9dd1-096815ed1fe4","resolution":{"observed_at":"2026-08-05T12:09:06.625157Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:14.415982Z","title":"Enhancing federated learning in heterogeneous internet of vehicles: A collaborative training approach,","venue":null,"work_id":"fdd76954-39d1-490d-8c85-a5af81c4caeb","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:02.441284Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:c0df84709efa08e3fb693e47b5f5bdb9a7baf14dadfca88505d2782698cc834e","observation_id":"98e1eb1a-ecd7-4ead-80e4-264f9505f656","resolution":{"observed_at":"2026-08-05T12:09:14.551534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:14.083416Z","title":"On addressing heterogeneity in federated learning for autonomous vehicles connected to a drone orchestrator,","venue":null,"work_id":"dcbbe2b1-326c-4274-be47-4cca84c83e89","year":2021},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:02.566199Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:285ade504afdb339dde00b6614457536a7c700e0db270f72ad03c6e9b5e7f267","observation_id":"b6f09444-5e47-4c37-b49b-65bcf19faf8f","resolution":{"observed_at":"2026-08-05T12:09:14.245160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:13.790840Z","title":"Hierarchical cooperative control of connected vehicles: From hetero- geneous parameters to heterogeneous structures,","venue":null,"work_id":"7a7af51a-a34d-4a32-b81a-f821614282b2","year":2022},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:02.659027Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:3787ff766cb6c1b40f339ec18b53cd2d9bd36acf2fc6579cbd5146bdbf5dee90","observation_id":"f216e8a3-a2c2-4f17-8e59-f6601dd6fcd0","resolution":{"observed_at":"2026-08-05T12:09:13.965920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:13.533371Z","title":"Reliable and efficient autonomous driving: the need for heterogeneous vehicular networks,","venue":null,"work_id":"d17b0426-9834-48c8-884f-a680898c7dbf","year":2015},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:02.782964Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:74b6240be6053a6fabb3d509d154924b0c06103e19346d94f451c1b48851acaa","observation_id":"51f3f33f-8b41-4996-8a77-36e91c1cfa96","resolution":{"observed_at":"2026-08-05T12:09:13.657495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.01264","last_updated":"2021-12-14T04:20:42Z","snapshot_observed_at":"2026-08-07T10:05:43.970632Z","submitted_at":"2020-10-03T02:55:33Z","title":"HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.01264","snapshot_observed_at":"2026-08-05T12:09:02.916367Z","title":"Heterofl: Computation and commu- nication efficient federated learning for heterogeneous clients,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:02.916367Z"},"links":{"cited_paper":"/paper/2010.01264","citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:5172ce12909afc23f8c8cc0f154208ff15dda503224353bfb03b38dc9fd36153","observation_id":"ee65289c-37a3-4928-948b-30c5c0118d43","resolution":{"observed_at":"2026-08-05T12:09:02.916367Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:09:13.282861Z","title":"Fedadapt: Adaptive offloading for iot devices in federated learning,","venue":null,"work_id":"1f98cdc3-55d2-457b-b793-fffff73d4a72","year":2022},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:03.022590Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:015b06af54c07ce86e4901a25cfe3d4f016fefe581f3cf3f77679e91a0d69495","observation_id":"a41878e5-7c48-4ab9-a513-ee9c2de805a0","resolution":{"observed_at":"2026-08-05T12:09:13.408384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:13.000712Z","title":"Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges,","venue":null,"work_id":"636b3aea-65f2-49e1-ae78-8fa5a768182d","year":2020},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:03.167181Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:01484e50cb275e3cc13fa62090d2cd7e62560610930cd48bdec712d66b3f817b","observation_id":"bbe34de6-53c7-41df-8600-7eab0829f136","resolution":{"observed_at":"2026-08-05T12:09:13.121485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:12.779567Z","title":"Communication and computing resource optimization for connected au- tonomous driving,","venue":null,"work_id":"7066817f-1cf5-47f3-b56b-6e2b54da871e","year":2020},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:03.319059Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:0e0ed5d9aaa32005249543eebfb5c6016eb6f1125b8f52215c524b5b7b40585d","observation_id":"ae9702e8-6d64-48db-9485-477437afab83","resolution":{"observed_at":"2026-08-05T12:09:12.874465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:12.492315Z","title":"Performance evaluation of image processing algorithms on the gpu,","venue":null,"work_id":"6e6150cb-faeb-4b4d-b527-ed518aee7d50","year":2008},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:03.466009Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:4ebdb3218273f3a29fd4b64c73415cb16ed22d6a67634e3465ca873e1a38ca94","observation_id":"3a2efc93-2e2d-406c-91c7-28da65cb7f51","resolution":{"observed_at":"2026-08-05T12:09:12.620633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:12.215161Z","title":"Advanced op- timization techniques for federated learning on non-iid data,","venue":null,"work_id":"01602b23-0db7-4f2d-a6d9-5b70c4a2f7ce","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:03.612795Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:d0abfd765911f001206a9c2b464a6c5e840072beb9f4a94b23eccabaa5670f26","observation_id":"afa9ac9a-acfa-4f6c-a60c-f5d2d27fb8f0","resolution":{"observed_at":"2026-08-05T12:09:12.332314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:11.911476Z","title":"A deep learning framework performance evaluation to use yolo in nvidia jetson platform,","venue":null,"work_id":"52d1e508-6d10-4706-ac23-03aa69686f8c","year":2022},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:03.739603Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:fc33875898e5614df618c7ff3cdf832fb57ffa5dace08e6d7dc7a78d52e91cf3","observation_id":"a6bef9e9-a85c-4b6d-b47d-b7abbfd1000a","resolution":{"observed_at":"2026-08-05T12:09:12.062324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:11.731607Z","title":"Deep learning with gpus,","venue":null,"work_id":"29765a1e-1997-4c18-8037-9fe88de1e725","year":2021},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:03.887702Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:a27d19b3c6c8e126adfc67000a189cf306b647cb889765f118a5e9e64f0fd706","observation_id":"b3fe9b15-392d-4cb7-8534-9d0f1bfd90b6","resolution":{"observed_at":"2026-08-05T12:09:11.817952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:11.527631Z","title":"Lopecs: A low-power edge computing system for real-time autonomous driving services,","venue":null,"work_id":"93f9225a-0db5-4f34-948e-4709a9a5bc9d","year":2020},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:03.993781Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:30e43a3f112232214350832b65eb9c2ae462e4050c76b1aeae0766667b6d65de","observation_id":"faf3ca3f-989a-417f-97dd-4956367d5464","resolution":{"observed_at":"2026-08-05T12:09:11.617323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:11.338768Z","title":"The architectural implications of autonomous driving: Constraints and acceleration,","venue":null,"work_id":"339a344e-acf0-415b-bacb-5e537d484c9e","year":2018},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:04.120129Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:9f0896239d4b0db727ba145dc26b1864d43edbacec64dcba1e98389d3cca5ac8","observation_id":"8ef98b9f-2b8c-4c9c-bde8-64dd609eb2d7","resolution":{"observed_at":"2026-08-05T12:09:11.417891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:11.058690Z","title":"Deep learning based approaches to enhance energy efficiency in autonomous driving systems,","venue":null,"work_id":"693abff4-9ca8-4d3e-9ffb-7c4b588d1458","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:04.236978Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:925416ee60e95a083e74d6af354be2fdad79f67392034407b9e1f81daced19b0","observation_id":"0970693b-edcc-4be5-a5f3-684a12a45b65","resolution":{"observed_at":"2026-08-05T12:09:11.173872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:10.819549Z","title":"Reducing power consumption and latency of autonomous vehicles with efficient task and path assignment in the v2x-mec based on nash equilibrium,","venue":null,"work_id":"38ac76a9-c391-4e46-8e88-b11ec54a36d3","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:04.331334Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:3659d5be821ce99fe36874694ef51dc5e5995b50462ce3ca52e32579e938b978","observation_id":"26dd187a-6f3d-4e81-b019-9ba15d8f4ce6","resolution":{"observed_at":"2026-08-05T12:09:10.931831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:10.556621Z","title":"Object detection in autonomous vehicles under adverse weather: A review of traditional and deep learning approaches,","venue":null,"work_id":"6ffaaf54-d50e-4a37-a1af-c73a2c7922c2","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:04.487410Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:02563e45a152bb3eede1cb5633c986ce87e04220ab787ef78d4e8d93808d6478","observation_id":"86177c3e-04ab-43b9-9539-e0a2e6e4d2a7","resolution":{"observed_at":"2026-08-05T12:09:10.646883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:10.293514Z","title":"Watch tesla autopilot go through a snowstorm,","venue":null,"work_id":"da3ced84-fa14-4bbe-b55c-2eca80ddbafa","year":2019},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:04.632744Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:f1c0d58e78ee5d03ac23fc4a3b2865234e54af6d5a8aeb23c0603943dcec4ecf","observation_id":"86eda7ef-7427-4d62-a622-7f09dd7099ca","resolution":{"observed_at":"2026-08-05T12:09:10.408475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:10.051071Z","title":"Super Cruise: Hands-Free Driving, Cutting Edge Technology,","venue":null,"work_id":"aba4ee1f-e4e0-496d-b5ba-240b726f7579","year":2018},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:04.785174Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:06188a401d0d21d68f512cff7ba971abd801650e0e76c4d9ecd746c36362cc7a","observation_id":"5140dd2c-b83d-4776-a524-84da5b6b5321","resolution":{"observed_at":"2026-08-05T12:09:10.146437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:09.822060Z","title":"On the roles of circulation and aerosols in the decline of mist and dense fog in europe over the last 30 years,","venue":null,"work_id":"be15d359-d0da-41ce-b113-3b9f2b31f65c","year":2010},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:04.910629Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:7fdbef9de1dd6e469bc35d44cdf6858241c98b1433c65f2a9c81ee4d55c7e829","observation_id":"3a261754-349c-4b24-8ba2-4cc66b05d8ce","resolution":{"observed_at":"2026-08-05T12:09:09.895922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:09.476897Z","title":"Seeing through fog without seeing fog: Deep multi- modal sensor fusion in unseen adverse weather,","venue":null,"work_id":"6e26821e-ae49-42d3-9350-e88b79b10d50","year":2020},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:05.038112Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:9bb50074ca8041793368a05450601db1ef234658fc74e8f21fc6eb29c9caf813","observation_id":"13331b3e-6cf9-4610-b444-f7d50c861a6f","resolution":{"observed_at":"2026-08-05T12:09:09.648999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:09:05.204799Z","title":"Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:05.204799Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:3f2ee924535419dc9be2d10b26f27886d61f585a8b9b31c731c811ec9ba615bf","observation_id":"90d0b9dc-7e9e-49c6-96f8-447280d382d5","resolution":{"observed_at":"2026-08-05T12:09:05.204799Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:09:09.236937Z","title":"Vision meets robotics: The kitti dataset,","venue":null,"work_id":"2410ca18-9c78-473b-a4fd-b7e7b9a33c27","year":2013},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:05.353345Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:ca8909dcb41fe3f295da4c17881ff73b6b2f2848eb631278fcbba257aa791426","observation_id":"d3fe11ed-7a63-4e13-938a-9e0ac2d1cf4a","resolution":{"observed_at":"2026-08-05T12:09:09.321631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:08.942133Z","title":"Bdd100k: A diverse driving dataset for heterogeneous multitask learning,","venue":null,"work_id":"1694a14e-d0aa-4403-9704-93b6d03f7df0","year":2020},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:05.476713Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:5444225e9500e61ecf4e033d2bac8df65151dd91978a9bd7ee2df9bac52d5607","observation_id":"73fe5ed4-6cd6-4521-a479-6aee11702142","resolution":{"observed_at":"2026-08-05T12:09:09.116050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:09:05.645243Z","title":"nuscenes: A multimodal dataset for autonomous driving,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:05.645243Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:7180eb2e0e2e15246c6f62fa57a45f6a894d78b0414620c76462619262414acc","observation_id":"4a25cd09-d75c-45df-ab1e-add280c5cf0a","resolution":{"observed_at":"2026-08-05T12:09:05.645243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.14390","last_updated":"2022-03-05T20:30:32Z","snapshot_observed_at":"2026-07-06T09:42:35.058716Z","submitted_at":"2020-07-28T17:59:07Z","title":"Flower: A Friendly Federated Learning Research Framework","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.14390","snapshot_observed_at":"2026-08-05T12:09:05.777452Z","title":"Flower: A friendly federated learning research framework,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:05.777452Z"},"links":{"cited_paper":"/paper/2007.14390","citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:fe89190db6a345ef770228e712da07668160dd0020677722ded71b607ae9b42e","observation_id":"114129d1-db1e-4eb7-afcf-81af46071f79","resolution":{"observed_at":"2026-08-05T12:09:05.777452Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:09:08.699550Z","title":"Ars-detr: Aspect ratio- sensitive detection transformer for aerial oriented object detection,","venue":null,"work_id":"e124beab-be67-4c62-aa54-13cf0f94d88f","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:05.917119Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:2c0da17ab6efd90d13b43547e8373e7b2516d482dd92f48175d195ddb558e404","observation_id":"1e82de72-0693-432d-975f-b1ede5bf10e4","resolution":{"observed_at":"2026-08-05T12:09:08.826961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:08.442835Z","title":"Enabling federated learning for object detection in connected autonomous driving using yolo with the flower framework,","venue":null,"work_id":"75e5b101-d835-402b-a553-25ac595832a5","year":2025},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:06.035306Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:bf934f69af057372c910a6e22277fc015107e6ef230561f7741706facc6a5f08","observation_id":"d312b485-b11e-4597-8465-11045d828e63","resolution":{"observed_at":"2026-08-05T12:09:08.545724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:08.187406Z","title":"Vehicle computing: Vision and challenges,","venue":null,"work_id":"e54abfcb-a74d-44e5-8385-cb10d69d214b","year":2023},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:06.157165Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:d454e3d773c0ce28b7c51867acb822cf82479950a4aff47965487e47e13b7043","observation_id":"894a23b2-0e27-4af0-8441-980ec824d4db","resolution":{"observed_at":"2026-08-05T12:09:08.329489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T12:09:07.968424Z","title":"A survey on federated unlearning: Challenges, methods, and future directions,","venue":null,"work_id":"1ec0f51b-b25a-4f27-b256-fc194878c522","year":2024},"citing_paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T12:09:06.286231Z"},"links":{"citing_paper":"/paper/2509.01868"},"observation_digest":"sha256:04a917ca740c896bdd73741cfa995785a262133fa6146816ad3461c08a96fa3a","observation_id":"590f386d-c256-43fc-8cd5-a67c495ffb42","resolution":{"observed_at":"2026-08-05T12:09:08.090914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.01868","last_updated":"2025-09-02T01:23:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T12:08:55.887851Z","submitted_at":"2025-09-02T01:23:50Z","title":"Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":6,"verified_fuzzy":64},"total_outbound_references":76},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2509.01868."}