{"as_of":"2026-08-14T18:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:44774d2cf750c6d0825fcfec2f7d56f7e7249a78abf38888ac9590b67d5e762c","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:01:37.129316Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T23:36:38.867280Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06142","snapshot_observed_at":"2026-07-31T23:36:38.867280Z","title":"AgentAlign: Misalignment-adapted multi-agent perception for resilient inter-agent sensor correlations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23910","last_updated":"2026-07-27T00:55:44Z","snapshot_observed_at":"2026-08-14T03:30:54.545536Z","submitted_at":"2026-07-27T00:55:44Z","title":"SimBEV2X: A Large-Scale Dataset and Data Generation Tool for Multi-Task Vehicle-to-Everything Cooperative Perception","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-07-31T23:36:38.867280Z"},"links":{"cited_paper":"/paper/2412.06142","citing_paper":"/paper/2607.23910"},"observation_digest":"sha256:f22461633420672c75dd528d8aa0b1b7d43ac092ef69fc31ebd3d9da7f710bc3","observation_id":"0b80b614-a376-4393-875a-8dc9a9b41d78","resolution":{"observed_at":"2026-07-31T23:36:38.867280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.06142/citation-record","integrity":"/paper/2412.06142/integrity","json":"/paper/2412.06142/citation-record.json","paper":"/paper/2412.06142"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:01:37.933897Z","title":"Online extrinsic calibration on lidar- camera system with lidar intensity attention and struc- tural consistency loss","venue":null,"work_id":"a539e966-c061-4732-a7d0-8cbab409b380","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.905252Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:690671205090fb0700082cd978b2a859a782c9ec196e7d0d6f3d7792f9a732d0","observation_id":"635c23ab-b002-4648-b614-2b5c562866a9","resolution":{"observed_at":"2026-08-11T20:01:37.938785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.917424Z","title":"Parallel driving os: A ubiquitous operating system for autonomous driv- ing in cpss","venue":null,"work_id":"5d22ffc7-334f-4185-8269-43e4a29fd6b0","year":2022},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.910435Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:d56e75dbedee3789fa7995b40e08b5e13c191b856f821a820df0dfcee9ee8617","observation_id":"c977513b-3464-4e38-bc14-f3a4e73bd067","resolution":{"observed_at":"2026-08-11T20:01:37.922305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.900198Z","title":"F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds","venue":null,"work_id":"07d02f20-7c02-45e8-8ab4-c13bb2f36474","year":2019},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.915279Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:49a0f463f8bcf09f4ca9493b43db350e1e84ece3e65a0c18c00de563478d9b99","observation_id":"84b7a085-2570-4ebf-b1b4-d8b8f25ce631","resolution":{"observed_at":"2026-08-11T20:01:37.905783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.883489Z","title":"Wind- induced self-excited loads on bridges","venue":null,"work_id":"0eb19f78-4688-48d0-85da-303fe5960605","year":2005},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.921102Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:d7157d56bc2245b9f8ffb590353245f9c9981a19c225f0d740646bf8362980b3","observation_id":"76c874d8-61f8-4c51-9f12-e8b1c4a833c6","resolution":{"observed_at":"2026-08-11T20:01:37.888675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.868322Z","title":"Lidar with velocity: Correcting moving ob- jects point cloud distortion from oscillating scanning lidars by fusion with camera","venue":null,"work_id":"9c4fbc90-28b7-425a-81a9-e8de6829b817","year":2022},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.926736Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:6fffe0df90b778526fd51db838cd9e4945f28b4406b8a4b4ce0063b8e447373a","observation_id":"d083a94d-f518-47fd-80e4-2efa53308ce5","resolution":{"observed_at":"2026-08-11T20:01:37.873185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.852140Z","title":"Where2comm: Communication- efficient collaborative perception via spatial confi- dence maps","venue":null,"work_id":"2a09c95d-5574-4261-b181-8740383b405b","year":2022},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.931515Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:1ca59ad6df576824f6993b1054503ae4b0fdc9b2cadcaf4206e46f959c2c0f79","observation_id":"33009bc3-5abb-4663-829f-5a281379bc3a","resolution":{"observed_at":"2026-08-11T20:01:37.857006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.838121Z","title":"Where2comm: Communication- efficient collaborative perception via spatial confi- dence maps","venue":null,"work_id":"78c2a1dd-f78c-4c0c-9ede-d78e9596bfea","year":2022},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.936022Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:3869221d88e3ec00a15e71913cc7bf3b795631c05395aeacbcb2b5f5fde690e4","observation_id":"acf89a3c-7ca0-4a12-81fc-5d1cdd5963d0","resolution":{"observed_at":"2026-08-11T20:01:37.842364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.823549Z","title":"General, single-shot, target-less, and automatic lidar-camera extrinsic calibration toolbox","venue":null,"work_id":"183bd7b3-4a57-4d8c-ac13-40e7a11779e2","year":2023},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.940989Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:7cd655e6f80b67ceddb8b7966e4ef09625a65b7e27ccae22f65a00bfc77b8b42","observation_id":"cd44557b-f630-4ffd-98df-7b9caa88b1e0","resolution":{"observed_at":"2026-08-11T20:01:37.828040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.809363Z","title":"Pointpillars: Fast encoders for object detection from point clouds","venue":null,"work_id":"5b314fc3-c496-42d2-b4ee-e733557bf9ba","year":2019},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.945530Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:c311fcbd192cfc621e656a011bf119f7760c1235206a098be0176bc92bce9a63","observation_id":"fe2db3cc-8b6f-49e2-99c4-38171e092cbe","resolution":{"observed_at":"2026-08-11T20:01:37.813678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.794226Z","title":"Learning distilled collaboration graph for multi-agent perception","venue":null,"work_id":"11e2bbc5-d635-42d7-b5e3-873ade9383c8","year":2021},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.949838Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:1628a12bd7e9f7bb9373783a257b4ca9904e5bf34880ec7f2d4055bc78e27465","observation_id":"7cfb2bd7-435f-4d04-80d9-a642af115356","resolution":{"observed_at":"2026-08-11T20:01:37.799155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.779944Z","title":"V2x- sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving","venue":null,"work_id":"cec42ee2-7d4c-454b-b797-2cec94e55969","year":2022},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.954426Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:4903ab814bff89b5640686d9cee162f463e6dfbefa53d7ffb296ae38bb601533","observation_id":"761e2a07-7fb7-4252-9640-2ff0f7270b4f","resolution":{"observed_at":"2026-08-11T20:01:37.784241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.764734Z","title":"A systematic survey of con- trol techniques and applications in connected and au- tomated vehicles","venue":null,"work_id":"1b418250-09c4-4b45-a481-609a7e50efa8","year":2023},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.958788Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:792dcb64fdd205342a51d6b08f6c7d492061e8f59bf286236acdf24d2c705db3","observation_id":"d7a8533a-5cf2-4409-b4e7-b73b8cd5ff54","resolution":{"observed_at":"2026-08-11T20:01:37.770221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.749464Z","title":"When2com: Multi-agent perception via communication graph grouping","venue":null,"work_id":"c4c1fb00-c5a7-4be4-b8ff-1825a12ed9ba","year":2020},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.963500Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:0aa06acfa5b289e9a4ab154bd0e7b9d6eda0191056530e4becfec5a678c1886d","observation_id":"d8c8a65d-3b22-4413-be11-90765d0e7859","resolution":{"observed_at":"2026-08-11T20:01:37.754554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.731947Z","title":"Bev- fusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation","venue":null,"work_id":"48f0ad69-c85e-4108-acf0-69219c56ffad","year":2023},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.968495Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:b8ee62e00094a0cbc4a4ac330e667540091e9d29101206a8a8afda46815e9909","observation_id":"48d83f50-095d-45db-add8-71615fb1ace6","resolution":{"observed_at":"2026-08-11T20:01:37.737263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.715778Z","title":"Hydro-3d: Hybrid object detection and tracking for cooperative perception using 3d lidar","venue":null,"work_id":"dfaa1685-dd57-4a2e-8580-26d602c1f186","year":2023},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.973052Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:a082483ae10b0796a3f81bb8fd9afff0e2e55d703cbd535f2900b4abd7964662","observation_id":"dfa2c973-1c75-416c-9b93-cc0100b05aa0","resolution":{"observed_at":"2026-08-11T20:01:37.720547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.698636Z","title":"To- ward foundation models for inclusive object detec- tion: Geometry-and category-aware feature extraction across road user categories","venue":null,"work_id":"694343a3-0494-4931-9ba3-a6055d87f13a","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.977265Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:3e95dcdd2f58d60e01da60e0aa86331a6d6b916c48d7184f1fa9eea8b055ce82","observation_id":"8add20cb-083c-4672-8375-89ad2b18562f","resolution":{"observed_at":"2026-08-11T20:01:37.703989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.682175Z","title":"Urban flood mapping with residual patch similarity learning","venue":null,"work_id":"8320c98d-382d-4042-8173-c3f8130804cc","year":2019},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.981513Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:cda7d4b8f73f6bef8fea44839269f36cf71b3bf09b987e4d90d4c544f1fb9e94","observation_id":"d90aca23-1101-405f-a16f-b8b60501abf7","resolution":{"observed_at":"2026-08-11T20:01:37.686903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.665641Z","title":"Patch similarity convolutional neural network for urban flood extent mapping using bi-temporal 9 satellite multispectral imagery","venue":null,"work_id":"3f84a58b-8026-49b1-b6f9-398b9905bcfc","year":2019},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.986130Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:94fafba4c8152b6a11d94fddcd93f260ce084b1ee0ac1e2f471ddb3f9bbed6ae","observation_id":"7950277b-62e0-4f27-ad79-21594234b5db","resolution":{"observed_at":"2026-08-11T20:01:37.671278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.649119Z","title":"Lift, splat, shoot: En- coding images from arbitrary camera rigs by implic- itly unprojecting to 3d","venue":null,"work_id":"b70b1fa1-8ae2-4e45-8be0-b5ac4f7286a3","year":2020},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.990714Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:cec791fe1edaba577dda9710845db85fa232c2db115ab64258b1350ed7167ff5","observation_id":"ddc4259d-41a3-4799-8b8e-a54279ba8953","resolution":{"observed_at":"2026-08-11T20:01:37.654878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.634953Z","title":"Position determines perspective: Investigating perspective distortion for image foren- sics of faces","venue":null,"work_id":"07c188f8-bd37-412f-99a5-bad46c4e2f9f","year":2017},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:36.996101Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:2055f6b69a560d90101363bfc868572cb54f65fc4a474618a96803ad913e5a01","observation_id":"fd0a1f8d-6329-417e-95fb-bba865418ce5","resolution":{"observed_at":"2026-08-11T20:01:37.639281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.621031Z","title":"Efficientnet: Rethinking model scaling for convolutional neural networks","venue":null,"work_id":"5d194d1c-f79d-48d3-aead-cba14c6d78fc","year":2019},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.001487Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:d8b43986c69b4a0ee0d18809fe2cb21a33281cfe44ed6b9efd21e19b9aaaad25","observation_id":"ebcc0115-b108-4fdb-ab35-fa2645447af6","resolution":{"observed_at":"2026-08-11T20:01:37.625264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.604943Z","title":"Perspective dis- tortion modeling, learning and compensation","venue":null,"work_id":"836e8786-c1b2-4e88-ad45-fc90c34bf092","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.006906Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:d4145ec35194717c5f000b8fb1349c03fe7598a854b453a1237451b198d5235e","observation_id":"b5affd45-5828-4c00-bc7d-5492899656ad","resolution":{"observed_at":"2026-08-11T20:01:37.610640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.588909Z","title":"Smart mobility digital twin based automated vehicle naviga- tion system: A proof of concept","venue":null,"work_id":"8a534421-171f-447a-85bc-decebac90441","year":2024},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.012084Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:112d4f90765bf24e445c23f96ea125190bcfe40b4306af712216b70c35ea4773","observation_id":"55f96906-eaeb-4bc6-92df-839040fbe925","resolution":{"observed_at":"2026-08-11T20:01:37.594325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.572942Z","title":"V2vnet: Vehicle-to-vehicle communication for joint perception and prediction","venue":null,"work_id":"0fd743eb-8625-4955-b314-fb0aef5e991f","year":2020},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.016296Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:6e3b2fac3aab1f0e1414125a06fa4d71de86498a1bc12860be948ead5598120c","observation_id":"19080735-56a5-42aa-92b0-7bfffe6fffa5","resolution":{"observed_at":"2026-08-11T20:01:37.578124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.543714Z","title":"An automated driving systems data ac- quisition and analytics platform","venue":null,"work_id":"16c4fe41-9e08-41d1-89dc-0542f7267252","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.025569Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:f92db37ad16518bed888972bb415d8892c6f949dd1732cfe86e3df349d0844b7","observation_id":"d20d57e8-dbc0-417b-a0b9-5650bd2347cf","resolution":{"observed_at":"2026-08-11T20:01:37.548186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.528912Z","title":"Hm-vit: Hetero-modal vehicle-to-vehicle cooperative percep- tion with vision transformer","venue":null,"work_id":"580aa513-7a10-49b7-a2d2-adb967432e7c","year":2023},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.029884Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:e50122d8cad52b978576c0698eea63d67b7fb8ede6e39c0c3cf9b3d5603c5b66","observation_id":"8b5dfb84-e6bd-4750-b58e-918117f6f3c0","resolution":{"observed_at":"2026-08-11T20:01:37.533300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16034","last_updated":"2024-12-16T19:00:47Z","snapshot_observed_at":"2026-08-13T03:00:10.249912Z","submitted_at":"2024-03-24T06:30:02Z","title":"V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.16034","snapshot_observed_at":"2026-08-11T20:01:37.035176Z","title":"V2x-real: a largs-scale dataset for vehicle-to-everything cooperative percep- tion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.035176Z"},"links":{"cited_paper":"/paper/2403.16034","citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:78d9a6c1b07abbb7bf8ed0b5f50ea2c6bb5d25efd149242d790b7207bf8e7d1f","observation_id":"0354f4fe-dfb7-4fd0-af08-f9eeebf2119f","resolution":{"observed_at":"2026-08-11T20:01:37.035176Z","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":"2026-08-11T20:01:37.513116Z","title":"Opencda: an open cooperative driving automation framework integrated with co-simulation","venue":null,"work_id":"41b2586b-8713-4697-88fb-6786a3936c88","year":2021},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.040154Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:1f4ce761a36a1466f69a249a92ee69954cce6541fa71d867eb326231391ddf9e","observation_id":"75c57227-eb3e-4e1a-8f65-a02ebf9c2b23","resolution":{"observed_at":"2026-08-11T20:01:37.518079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.07644","last_updated":"2022-06-20T07:27:01Z","snapshot_observed_at":"2026-08-13T13:36:57.017555Z","submitted_at":"2021-09-16T00:52:41Z","title":"OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07644","snapshot_observed_at":"2026-08-11T20:01:37.044089Z","title":"Opv2v: An open bench- mark dataset and fusion pipeline for perception with vehicle-to-vehicle communication","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.044089Z"},"links":{"cited_paper":"/paper/2109.07644","citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:43b4db7d54aef7c10560db472c5015c1076afec6bbaee268e3726486afc013f5","observation_id":"9aaa273e-6e61-41e3-9ae1-85f3616443e8","resolution":{"observed_at":"2026-08-11T20:01:37.044089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.10638","last_updated":"2022-08-08T14:52:03Z","snapshot_observed_at":"2026-08-13T16:19:12.941058Z","submitted_at":"2022-03-20T20:18:25Z","title":"V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.10638","snapshot_observed_at":"2026-08-11T20:01:37.048462Z","title":"V2x-vit: Vehicle-to- everything cooperative perception with vision trans- former","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.048462Z"},"links":{"cited_paper":"/paper/2203.10638","citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:5092410623ded46f8405f06500b493aff875d894f120f49abef7900a15b03ef7","observation_id":"580d73f6-eea7-426e-964d-57b6021e9f33","resolution":{"observed_at":"2026-08-11T20:01:37.048462Z","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":"2026-08-11T20:01:37.496958Z","title":"Bridging the domain gap for multi-agent perception","venue":null,"work_id":"3525aba9-8d9c-4aac-a7ae-c96a5d078fb5","year":2023},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.052892Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:5bf546e91675f5621810a9d872d68903c86c4457751976e23a0093eb223d1d93","observation_id":"b87ab72c-dbf7-4c6c-a212-794aa4857d02","resolution":{"observed_at":"2026-08-11T20:01:37.502113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.07325","last_updated":"2023-01-26T16:40:25Z","snapshot_observed_at":"2026-08-13T13:02:45.270308Z","submitted_at":"2023-01-18T06:15:22Z","title":"The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research","version":3},"cited_work":{"arxiv_id":"2301.07325","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.07325","snapshot_observed_at":"2026-08-11T20:01:37.168608Z","title":"The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research","venue":"cs.RO","work_id":"00764d98-070d-47c7-b8f7-b972cbe9b731","year":2023},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.057059Z"},"links":{"cited_paper":"/paper/2301.07325","citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:a100c6b046f2cb4ee4cd7cb1c56a52095653108aea841ab6265577c68b3d9231","observation_id":"f2fa62f2-532b-4f23-845c-53920231db44","resolution":{"observed_at":"2026-08-11T20:01:37.176201Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.480247Z","title":"Dair-v2x: A large- scale dataset for vehicle-infrastructure cooperative 3d object detection","venue":null,"work_id":"ad89434f-d9af-489e-aa24-f867c3a2d4b6","year":2022},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.062085Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:a88e148f310aa8f810bd7a45f23556a36ff918983eb562af368bd38ad26c26f5","observation_id":"b06e53ba-d946-4957-8f0b-463b93cbdf49","resolution":{"observed_at":"2026-08-11T20:01:37.486067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.464497Z","title":"Systematic error mod- eling and bias estimation","venue":null,"work_id":"e98f2eaa-0dd2-4584-b710-ab92f0cdf5fe","year":2016},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.066144Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:46211e6b42ece5a710cbbb2273efcbc3e3e57ba4a4399fc4ba83b5b380348fca","observation_id":"3514f4a1-168d-497b-9341-fac9a6827d46","resolution":{"observed_at":"2026-08-11T20:01:37.469668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.447450Z","title":"Numerical simulation study of vibra- tion characteristics of cantilever traffic signal support structure under wind environment","venue":null,"work_id":"cb9633ef-fab7-4956-9990-fa43e1928c72","year":2022},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.070523Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:fa9d493be70ed02cf05f1796ef41ad61aa884fa7d45e9a71aaee94ab8248ead1","observation_id":"e77b7b3f-b04f-4381-a06a-14fc5837f184","resolution":{"observed_at":"2026-08-11T20:01:37.453087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.432317Z","title":null,"venue":null,"work_id":"49b9135d-9708-4d62-ae7c-754b1c3e9421","year":2000},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.074727Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:c195292745260746c9ee931ff9b64e14c7b56f78f61c02f5c6478269e85b7fe7","observation_id":"25451565-4bf5-473d-a191-ed178bafe429","resolution":{"observed_at":"2026-08-11T20:01:37.436869Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.417261Z","title":"Cooperfuse: A real-time cooperative perception fusion framework","venue":null,"work_id":"08678acf-dcc9-4111-a47a-bf4714e93b66","year":2024},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.078947Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:b194f2cc7f2c03e64ac4492f6b0ca29d83c76c3746c5c41b760a7e12896099fe","observation_id":"572f0dbd-c84d-4b46-9fe9-c68329e0b295","resolution":{"observed_at":"2026-08-11T20:01:37.422180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.401036Z","title":"Miscalibration in the extrinsic parameters can lead to misaligned sensor data, negatively impacting the performance of perception algorithms","venue":null,"work_id":"7f2bdc80-d271-4e67-b103-28bc3187447e","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.082960Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:fee927118128529f14cefa9d80b88a5b7f47386ce1ffa20c944beb4ac3dc8398","observation_id":"97ac71b1-5c46-47b7-9165-c2fb60e248b8","resolution":{"observed_at":"2026-08-11T20:01:37.406091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.385438Z","title":"To emulate these real-world impacts on LiDAR and camera sensors, we introduce rotational and positional noise into our multi-agent system","venue":null,"work_id":"d5af03f3-6d02-4594-84d8-fcaa392f9378","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.088120Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:6a16b03824add65bc472eedfad7a730cbf6e08d65f75b87dc68d1824a6379b21","observation_id":"59b132a1-d1f0-4f8c-acb5-b0102c30821f","resolution":{"observed_at":"2026-08-11T20:01:37.390589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.369900Z","title":null,"venue":null,"work_id":"8c18c770-92c3-4472-9620-4115e0115925","year":2017},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.092581Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:221f8348be5486b6c11f8b970391d062d295531daf5ff10d7e99d7dc3b357a4b","observation_id":"deeb5445-1e9e-4a64-964c-7629efbcfac0","resolution":{"observed_at":"2026-08-11T20:01:37.374620Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.353153Z","title":null,"venue":null,"work_id":"ae0d8d3b-8065-4a66-aa68-51252bb10f06","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.097264Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:df327371f2643138278b434fcba93fe451b0df7c289d2861414ba2607b3710d5","observation_id":"a64b8548-caad-44bd-9538-6b2395cb8907","resolution":{"observed_at":"2026-08-11T20:01:37.357388Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.338215Z","title":null,"venue":null,"work_id":"c9e907ed-3458-4505-b130-7a10a43bec9c","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.101414Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:0e92b04e59e145aea9d0f249117c4a6426bbb1d02a89f38a1f78eba0b996686d","observation_id":"c1f5b0a2-b047-42fc-9d03-7d5f182fc0f0","resolution":{"observed_at":"2026-08-11T20:01:37.342722Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.320259Z","title":null,"venue":null,"work_id":"4a262c91-a630-4ad4-a558-eac587762555","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.106203Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:341ea8fdd0da59ff5aec7bace5e6c864a4f42facc2c08b019a18b1c81fb2f4f4","observation_id":"d1a36b25-5c4a-41ee-a252-5df8ac309b4a","resolution":{"observed_at":"2026-08-11T20:01:37.326321Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.303454Z","title":"• Low Distortion (1/2): α = 0.014: Represents a moderate horizontal shift, introducing noticeable skew","venue":null,"work_id":"9ec1b015-932c-4acd-b4a2-2e33d86a30e7","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.110436Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:046717cd69171e822c6a6083a6d105d5abad4f30005028ad3caddd3815dff160","observation_id":"163be2fd-2409-45a9-9f90-825ed850fcaf","resolution":{"observed_at":"2026-08-11T20:01:37.307932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.287400Z","title":"These distortions arise from changes in the ego vehicle’s position 3 Figure 6","venue":null,"work_id":"2e90a174-2ae6-4170-941f-d87ec807dd5f","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.116290Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:976ee5f934402d56545464a56e4a288f398a76a9d2b6a4db9347a5748769f476","observation_id":"562dce7c-6060-4060-b98b-af8e93b785f1","resolution":{"observed_at":"2026-08-11T20:01:37.292187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.271230Z","title":"Visual representation of detection results using both camera and LiDAR data","venue":null,"work_id":"b06cba94-e5a9-4607-8847-f10d42bbabe4","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.120552Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:fe4c6d083dc4bdf37d62bf538caa80d889524e4d96e9f9dc39e10462152ba545","observation_id":"668ce80c-61d2-4772-b1e7-8a49202bd8f0","resolution":{"observed_at":"2026-08-11T20:01:37.275750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.254182Z","title":"Factors such as temperature changes, moisture, and corrosion can cause sensors to shift to incorrect posi- tions, resulting in persistent offsets that affect detection ac- curacy","venue":null,"work_id":"b6ce72e5-714a-496b-9292-82817705647d","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.124886Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:6b25bf53e313bdfa39f4b5f44b93059b7952c2fa51fe842646cc1e080f46f019","observation_id":"95df4669-45a3-4f51-9cae-88616b028376","resolution":{"observed_at":"2026-08-11T20:01:37.260001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.237125Z","title":"8 and Fig","venue":null,"work_id":"0273cd2c-a868-43bb-94a5-4f5f37313e32","year":null},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.129316Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:f6d9d78610c6b905d8df7e116b909e270470c7046d9fae80f125ec06e3bd2a85","observation_id":"2f5d52f8-d495-4af3-8333-92a8d3d49768","resolution":{"observed_at":"2026-08-11T20:01:37.242369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:01:37.558418Z","title":null,"venue":null,"work_id":"14e03623-a6cc-4a30-8fd3-51dd9987ecec","year":2020},"citing_paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations","version":1},"reference_index":621,"source":"pdf_text","source_observed_at":"2026-08-11T20:01:37.021181Z"},"links":{"citing_paper":"/paper/2412.06142"},"observation_digest":"sha256:51deb9da058f2652d8b2ebb5757de718748303fb8508d0e3518955fa6a2e3fb1","observation_id":"7db3d6bf-4ceb-40ed-a085-d2f6c0fb63f3","resolution":{"observed_at":"2026-08-11T20:01:37.563037Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.06142","last_updated":"2024-12-09T01:51:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T18:42:48.708294Z","submitted_at":"2024-12-09T01:51:18Z","title":"AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":8,"verified_exact":1,"verified_fuzzy":39},"total_outbound_references":49},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2412.06142."}