{"as_of":"2026-08-10T08:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0bd6db8c149649b87ade8b25313ddc98bad3c7faf08107d78febcc2569578cc1","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T15:51:29.526930Z","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":"2026-08-10T06:31:04.303077+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":"2026-05-11T00:52:58.790302Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T05:05:56.781894Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"cited_work":{"arxiv_id":"2512.15503","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.15503","snapshot_observed_at":"2026-06-24T02:14:47.634718Z","title":null,"venue":null,"work_id":"4d56c168-1d44-4162-a606-9ec4e06ef655","year":2025},"citing_paper":{"arxiv_id":"2605.06833","last_updated":"2026-05-07T18:38:15Z","snapshot_observed_at":"2026-07-06T23:19:15.382283Z","submitted_at":"2026-05-07T18:38:15Z","title":"PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-11T00:52:58.790302Z"},"links":{"cited_paper":"/paper/2512.15503","citing_paper":"/paper/2605.06833"},"observation_digest":"sha256:9a5af2ccfbd96079b0ec6cc563a91bc3a931e48df26406c1b1972f8b176e9c7d","observation_id":"607d94d2-d998-4ae9-b5d3-606c54f1d00f","resolution":{"observed_at":"2026-06-24T02:14:47.634718Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2512.15503/citation-record","integrity":"/paper/2512.15503/integrity","json":"/paper/2512.15503/citation-record.json","paper":"/paper/2512.15503"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:24.439542Z","title":"Secure Vehicular Communication Systems: Design and Architecture,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:24.439542Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:5c20ed5de2d70ea2762e186a9fea1c630b91747ae7cfe8c2b5f3c5bdce1f5a17","observation_id":"d2c56ee3-5a46-4178-aa51-8f0c74549157","resolution":{"observed_at":"2026-08-03T15:51:24.439542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:24.538341Z","title":"Platoon management with cooperative adaptive cruise control enabled by vanet,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:24.538341Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:f5679661e8d95c9e696276f6cfe9c79edb7daae7a8a56714883c432625587c65","observation_id":"d84c3c53-7313-4266-9f6d-0235828610a2","resolution":{"observed_at":"2026-08-03T15:51:24.538341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:24.662109Z","title":"Security Vulnerabilities of Connected Vehicle Streams and Their Impact on Cooperative Driving,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:24.662109Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:85f452d2448d713d721a3b5580c4b21a37e6748fab782605678407f1a21397c9","observation_id":"0b74daf1-034c-4988-91b4-7cff4edd8390","resolution":{"observed_at":"2026-08-03T15:51:24.662109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:24.761283Z","title":"Prime: Platoon restructuring for incident mitigation and exclusion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:24.761283Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:f5f5b71ecf9cf64d4b528e0bb1f93fefaf2fd665b969be6a64dea747edeac88d","observation_id":"4c19a1b1-b1ab-4770-9664-d981c7272c91","resolution":{"observed_at":"2026-08-03T15:51:24.761283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:24.895156Z","title":"Atten- tionGuard: Transformer-based Misbehavior Detection for Secure Vehic- ular Platoons,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:24.895156Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:71c2f2f6f4d87ee5a57e859b0169a058075e318f7c95dc9168f855f74d2a1710","observation_id":"b1f80306-7aec-4239-9628-d5ea9f8daed9","resolution":{"observed_at":"2026-08-03T15:51:24.895156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:24.991417Z","title":"Beyond the Attack: Strategies for Attack Endgame Mitigation in V ANETs,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:24.991417Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:48b48fe1767524c5cf246c4fd967a3eeb572139dc3fa80bf800f65b48e0e5575","observation_id":"8ff595bf-cb0c-4211-912b-075d0193ef99","resolution":{"observed_at":"2026-08-03T15:51:24.991417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:25.134754Z","title":"Attack impact and misbehavior detection in vehicular platoons,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:25.134754Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:005bd5a3a347cc674bc5e6fd668643f7ade9eac4ad73e721d13d17f148c68dc8","observation_id":"eb155541-60f7-44e6-832d-7fff2cd93b7c","resolution":{"observed_at":"2026-08-03T15:51:25.134754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:25.218263Z","title":"Analyzing Attacks on Cooperative Adaptive Cruise Control (CACC),","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:25.218263Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:fc361b989c5b14ed7805a62eea99b8dc7909eaa7ca09c7f50710361a4ac2f651","observation_id":"aedf65df-0ccc-4e92-9bc9-ddf8e2fb6194","resolution":{"observed_at":"2026-08-03T15:51:25.218263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:25.339096Z","title":"On the Performance of Secure Vehicular Commu- nication Systems,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:25.339096Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:8603f4528d55b53cfdd9d76bd0e07d8d1205c470bc5d4d0007659552f7d06afd","observation_id":"c5f0d619-7825-4887-a955-ff60ab23a101","resolution":{"observed_at":"2026-08-03T15:51:25.339096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:25.435069Z","title":"SECMACE: Scalable and Robust Identity and Credential Management Infrastructure in Vehicular Communication Sys- tems,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:25.435069Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:8cdbbcc314c8308e466225e09560cccf7f6a74a9994baf61faced4f719414c02","observation_id":"efdbfc79-b079-47fc-9de0-a8b178c7aa10","resolution":{"observed_at":"2026-08-03T15:51:25.435069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:25.536185Z","title":"Scalable & Resilient Vehicle-Centric Certificate Revocation List Distribution in Vehicular Communication Systems,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:25.536185Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:d5b760e710e18b767cd3273f8f7f65926bac51b382c4c123c786d4bc038d2e3b","observation_id":"cba655d8-73b7-4016-88d0-d4c802a3e2a0","resolution":{"observed_at":"2026-08-03T15:51:25.536185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:25.621396Z","title":"Machine learning approach for multiple misbehavior de- tection in vanet,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:25.621396Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:77fae6205d4cd7869d16d9d51c620cfdaa68654c2874ffd19bcb67a26759a37f","observation_id":"555c3c71-268d-4eaf-9d5b-af4f35aee0e2","resolution":{"observed_at":"2026-08-03T15:51:25.621396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:25.672738Z","title":"Advancing Intrusion Detection in V2X Networks: A Comprehensive Survey on Machine Learning, Federated Learning, and Edge AI for V2X Security,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:25.672738Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:eb6dbd988dd2291ba96f023be8d7b1ab7c094d6cf4d78e47d46ab191c2ac8668","observation_id":"0a35d77d-89c8-49e3-9d5d-f021f4b922d7","resolution":{"observed_at":"2026-08-03T15:51:25.672738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:25.829548Z","title":"Investigating attacks on vehicular platooning and cooperative adaptive cruise control,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:25.829548Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:2f4fd3f0bec4c7cba546660f7e3d8293ed653fb543ab21580da32bda47ee1612","observation_id":"b841c3c1-f52f-4d79-8634-3723c08d8be3","resolution":{"observed_at":"2026-08-03T15:51:25.829548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:25.988604Z","title":"Vulnerability analysis of vehicular coordinated maneuvers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:25.988604Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:cd71544b71954ba501bc0c0dc6eff2c9b64aaad0fd3d62b07490d84495798a77","observation_id":"a65b08c3-56ae-4484-8a80-460e0c9b1c12","resolution":{"observed_at":"2026-08-03T15:51:25.988604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:26.162124Z","title":"Replace: Real-time security assurance in vehicular platoons against v2v attacks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:26.162124Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:f791efae1e24c01fe2e9717d9d2713078a9f0178482a571da8921af7728b0562","observation_id":"d39519cf-b013-4aae-994d-084702c53e38","resolution":{"observed_at":"2026-08-03T15:51:26.162124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:26.254230Z","title":"Redem: Real-time detection and mitigation of communication attacks in connected autonomous vehicle applications,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:26.254230Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:f279619e1138dcb3b0b544e2184791e3fbd7015a941a3524ee212750f7aebeff","observation_id":"4ce4d91b-704e-4795-aa5c-c7005abd0840","resolution":{"observed_at":"2026-08-03T15:51:26.254230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:26.364046Z","title":"Secure platooning control of automated vehicles under cyber attacks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:26.364046Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:c56785461675b329f7daeb6dbbed727e750405689b6e45325291b9cad5403a24","observation_id":"13cbf962-d69e-46b6-a4ef-86ad736846bf","resolution":{"observed_at":"2026-08-03T15:51:26.364046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:26.474249Z","title":"Deep-learning-based intrusion detection for autonomous vehicle-following systems,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:26.474249Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:9768110d0e9c49bd1a7e553e6008413f644ed1c4b5f1adca40fa3d0081adb07b","observation_id":"07c81bc6-fc13-447d-9410-eb9f43c836be","resolution":{"observed_at":"2026-08-03T15:51:26.474249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:26.624050Z","title":"An approach to detecting malicious information attacks for platoon safety,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:26.624050Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:f25f5a1ca5a903eb61cf8c12ab31842df84d8700578c94cb928b7f6e8af9f834","observation_id":"bb971aed-1ed2-4187-be0f-12f4bfc6b063","resolution":{"observed_at":"2026-08-03T15:51:26.624050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:26.733775Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:26.733775Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:5b9a846de3071997506389c80b5f33d0eea4250e0815fc1ca540c8e485d6d123","observation_id":"d68f35e4-71d6-498c-a252-1abb1f60df4a","resolution":{"observed_at":"2026-08-03T15:51:26.733775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:26.888952Z","title":"The architectural implications of autonomous driving: Constraints and acceleration,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:26.888952Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:319fd5f6bb11ed3c69eebb7732d4639d80d1e730e6db2ac777b5742aaecdfb14","observation_id":"8f32b79a-a27a-4eb1-bb23-b648239069c1","resolution":{"observed_at":"2026-08-03T15:51:26.888952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:27.063459Z","title":"Mobile edge intelligence and computing for the Internet of Vehicles,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:27.063459Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:077fe49d3b8d3b64319073e1a2cd3d2670a2b5313bb60ab08d17505d52f6eee7","observation_id":"90608654-9ac3-4a37-aa69-6059647ae721","resolution":{"observed_at":"2026-08-03T15:51:27.063459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:27.232167Z","title":"Platoon vulnerability due to network topology and targeted vehicle,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:27.232167Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:bd7cae51bfa19340ad82baadd887fc3c70d9cb26a9089a973b1e26e86fe447e1","observation_id":"faf6ae6b-1255-4276-8cc4-b1072043d0a7","resolution":{"observed_at":"2026-08-03T15:51:27.232167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:27.439332Z","title":"A systematic literature review on distributed machine learning in edge computing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:27.439332Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:e330920ed612586a5f542702210ce87b581a043a32345e5b71518a177b44f9e3","observation_id":"5130574e-243d-4eab-8590-ebcc4f09770f","resolution":{"observed_at":"2026-08-03T15:51:27.439332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:27.654473Z","title":"Machine learning at the network edge: A survey,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:27.654473Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:462a8767abd773272052fbf32f70cd0e1ee29a26119d64fe50e69b374cc2c752","observation_id":"87e6575e-82ca-47a6-89d7-afae3b4a8b91","resolution":{"observed_at":"2026-08-03T15:51:27.654473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:27.825975Z","title":"Jamming Detection in IoT Wireless Networks: An Edge-AI based Approach,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:27.825975Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:4d0718aad051e02b6949cc5684b285eb2e7fbc9f5c6deddb111995dcf989e6c1","observation_id":"9830d178-dc16-4661-8753-52b85d80a9bf","resolution":{"observed_at":"2026-08-03T15:51:27.825975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.10553","last_updated":"2024-12-13T20:55:10Z","snapshot_observed_at":"2026-08-07T02:47:26.246802Z","submitted_at":"2024-12-13T20:55:10Z","title":"Edge AI-based Radio Frequency Fingerprinting for IoT Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.10553","snapshot_observed_at":"2026-08-03T15:51:27.995607Z","title":"Edge AI- based Radio Frequency Fingerprinting for IoT Networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:27.995607Z"},"links":{"cited_paper":"/paper/2412.10553","citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:34f6d8425acaac585ca244bd0e3c790f361b497394c1feffbbaa7d6e3d289f8d","observation_id":"3e3b672f-9a18-4de1-984f-08bb6d61ff44","resolution":{"observed_at":"2026-08-03T15:51:27.995607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:28.228762Z","title":"Towards a Lightweight Edge AI-based Radio Frequency Fingerprinting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:28.228762Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:fd980f933af990fc76d9429cb5dd61aca261b52a275e7540a7dcea6b35e32e30","observation_id":"6d52e217-9254-495f-8589-9d7b676a58e2","resolution":{"observed_at":"2026-08-03T15:51:28.228762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:28.396965Z","title":"Vehicular Communication Systems: Enabling Technologies, Applications, and Future Outlook on Intelligent Trans- portation,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:28.396965Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:c1cc3c4e53b605f741196313d021c7235b36c9dce0994d419d969803780444d0","observation_id":"cbc8d596-756b-4c32-933d-96a0e754fc1e","resolution":{"observed_at":"2026-08-03T15:51:28.396965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:28.503379Z","title":"Ieee standard for wireless access in vehicular environments–security services for application and management messages,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:28.503379Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:ab98c1bf84e1eef278b9b7a85869600ec39fc9c235bfe108a13c8afffa059076","observation_id":"d1c08190-07e2-4dc0-bdeb-53cbf815860f","resolution":{"observed_at":"2026-08-03T15:51:28.503379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:28.615701Z","title":"Secmace+: Upscaling pseudonymous authentication for large mobile systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:28.615701Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:028267fc65878f5fa60bafe0654e7a6ae7873c92d19de9b66fa27d7fb5bcb023","observation_id":"03c20bde-f33d-41ad-8c0b-3a90f7dde7d4","resolution":{"observed_at":"2026-08-03T15:51:28.615701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:28.769869Z","title":"Securing Vehicular Communications-Assumptions, Requirements, and Principles,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:28.769869Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:da81c693946b7ed6860275dcdfc5b2d2f12815cebf45d599d003c0c06d4f4a11","observation_id":"90f1261a-958c-4759-925c-6e5c2b333618","resolution":{"observed_at":"2026-08-03T15:51:28.769869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:28.883632Z","title":"A Formal Security Assessment Framework for Cooperative Adaptive Cruise Control,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:28.883632Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:cc7388f164a01256d7202e97e98bf09a5814d4c0a889452d887db7c0d572f5a1","observation_id":"9635ca0b-cd9d-4e60-969d-15ca30f04973","resolution":{"observed_at":"2026-08-03T15:51:28.883632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:28.979999Z","title":"IEEE 802.11 p and Visible Light Hybrid Communication Based Secure Autonomous Platoon,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:28.979999Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:782f0db7ebb2afa8985b71303584a1ff9bbfb6fbf3131ea467776dbdd02dc4ea","observation_id":"1d6d3b94-9aee-4255-b9d1-eb5d836f8d98","resolution":{"observed_at":"2026-08-03T15:51:28.979999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.136405Z","title":"Hyperband: A novel bandit-based approach to hyperparameter optimization,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.136405Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:6e59a317e49ede850de937d02061c03d9009edc5bef137585a3ba05e019dc1c1","observation_id":"5c807658-f38f-435f-9191-006681c88b0e","resolution":{"observed_at":"2026-08-03T15:51:29.136405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.246074Z","title":"Reevaluating the potential of a vanilla transformer encoder for unsupervised time series anomaly detection in sensor applications,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.246074Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:594db1e35862339779e20064b2a3e99fa1b1d9779bfd6a981a201d29ed0940ef","observation_id":"1f6907cd-fe16-4cbf-9b19-05786f87ec34","resolution":{"observed_at":"2026-08-03T15:51:29.246074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.387308Z","title":"Hyperparameter tuning for trans- former models [online],","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.387308Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:5722bbac400c8ba10825eca5f11549cf6cf42d6a7d06938b473ea6620bf77f06","observation_id":"a618b533-c1c5-4f2f-94f6-156d4fb2e631","resolution":{"observed_at":"2026-08-03T15:51:29.387308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.433570Z","title":"A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.433570Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:94a8615a0d161b6bcf916c8e3172e81ceb34cdc9debd7d1741f1353702f372c5","observation_id":"be9332dd-a5ce-472f-af69-62e5908c64ba","resolution":{"observed_at":"2026-08-03T15:51:29.433570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.435928Z","title":"Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.435928Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:4ab87c63979cc2af5e84339c7a199178438095cb89d974b083131a7006c9d6e4","observation_id":"0a3582ac-8ec2-4d7c-95dd-61d8b5eeef0c","resolution":{"observed_at":"2026-08-03T15:51:29.435928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.438019Z","title":"Veremi: A dataset for comparable evaluation of mis- behavior detection in vanets,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.438019Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:907289218b9b2a748555c20268b8f56b37d3d2a2699c14d183260d42c7f06b3a","observation_id":"5ecd921e-8d38-483a-99de-456484e182a2","resolution":{"observed_at":"2026-08-03T15:51:29.438019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.440388Z","title":"Securing the internet of vehicles: A deep learning-based classification framework,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.440388Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:f158bed9b996eaa1ee52b804da3058920cf0acf3eeef5f402fcdce331838595d","observation_id":"4014afb6-39ca-41c3-b2cd-9695edfe787e","resolution":{"observed_at":"2026-08-03T15:51:29.440388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.442573Z","title":"Simulation framework for misbehavior detection in vehicular networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.442573Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:dccc5c87bb5bde69064d1f65a1bb45138583964485c3bc2523f691cb70edd4c4","observation_id":"168d8333-a51b-4ed1-a86a-ed1178428b96","resolution":{"observed_at":"2026-08-03T15:51:29.442573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.445201Z","title":"A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.445201Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:0f59830b29bfc636e1a40393e02e8d1543c611f9d11dae3b0ac78237b485beaa","observation_id":"0b713e48-81e2-4c80-9ff4-60de7d18c3cc","resolution":{"observed_at":"2026-08-03T15:51:29.445201Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.447517Z","title":"Physical layer plausibility checks for misbehavior detection in V2X networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.447517Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:6fddd92ce17bdf11d42d5d1a4d2ac189f677bb36fd351d84aa5c5a77a188f677","observation_id":"ee6e703c-3324-40ef-b6e9-5557cfea7be4","resolution":{"observed_at":"2026-08-03T15:51:29.447517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.450079Z","title":"A deep learning-based integrated algorithm for misbehavior detection system in V ANETs,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.450079Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:9a84cc498f80341257dacda253e675f4049b5c210e3f5cd1c70a27f68f79b3a0","observation_id":"80c0edf8-7eaf-4b6a-9f36-9bc1ac19c6f1","resolution":{"observed_at":"2026-08-03T15:51:29.450079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.452474Z","title":"Misbehavior Detection for Position Falsification Attacks in V ANETs Using Machine Learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.452474Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:1b1889070d47ce3a1fff1251318e6c9f64febbfde46ed70ce45a4f81c890549e","observation_id":"fe44a761-1a26-40a3-baa6-c62b9d0f80fd","resolution":{"observed_at":"2026-08-03T15:51:29.452474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.455467Z","title":"Federated learning-based mis- behavior classification system for V ANET intrusion detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.455467Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:1fc350c65c1b0565d56318fb844c88c8f2ef18562a061cfc426da4ed30c72e97","observation_id":"6cd41e1b-4e6e-4604-bb6d-5b575f64cd28","resolution":{"observed_at":"2026-08-03T15:51:29.455467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.458299Z","title":"Machine learning and reputation based misbehavior detection in vehicular communication networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.458299Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:7c565ed4bb95f1574c061e7f4d152e65998a6cf0df2514641bfd6642bd45f555","observation_id":"b2146079-134e-4448-b7fa-cad03f01b0ec","resolution":{"observed_at":"2026-08-03T15:51:29.458299Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.460724Z","title":"Intrusion detection system using deep neural network for in-vehicle network security,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.460724Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:bcbfc620a51c4b2b0e09b67bdbe519040fa721c3a7f67ba85883f63d2aa94364","observation_id":"1685e85d-8863-4240-9095-3523384d46a7","resolution":{"observed_at":"2026-08-03T15:51:29.460724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.463625Z","title":"Privacy preserving misbehavior detection in IoV using federated machine learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.463625Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:5176ecf141c32961a3daa794480e8233abf42f4fdecd7818110a69981df7b954","observation_id":"1425f74d-9ecd-403a-aaf1-27b965e7a809","resolution":{"observed_at":"2026-08-03T15:51:29.463625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.466410Z","title":"In-vehicle network intrusion detection using deep convolutional neural network,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.466410Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:03071238345a5b7ec5555d7a8e095d940ea9a6f63aeb88698c6f16e8b9ef7996","observation_id":"a5db0efe-86ff-42f3-93ea-7318f38b8f7d","resolution":{"observed_at":"2026-08-03T15:51:29.466410Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.468876Z","title":"Deep neural networks for securing iot enabled vehicular ad-hoc networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.468876Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:4c831ca0ba02f23b073758fd48be79a69a5a93a4806ff8d2f1c63f387f01d704","observation_id":"98e3688a-3d00-4e3d-ae39-1bcf1c21fef7","resolution":{"observed_at":"2026-08-03T15:51:29.468876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.471338Z","title":"CANnolo: An anomaly detection system based on LSTM autoencoders for controller area network,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.471338Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:d8dd0063b92f568a31a3a8dbfcbc7f4972d230f648f7c4ac8ca6b1cf4293c7d5","observation_id":"2dd493a0-2478-4dd7-bf07-0e5da7d695d9","resolution":{"observed_at":"2026-08-03T15:51:29.471338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.473973Z","title":"Misbehavior Detection using Machine Learn- ing in Vehicular Communication Networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.473973Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:70a9006226a57157ede5fa5a25ab2682517959d763602c8fc1b2d481ee99e10d","observation_id":"96aab2ee-4fbf-4634-a24b-0e1d44e93a24","resolution":{"observed_at":"2026-08-03T15:51:29.473973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.476686Z","title":"CANintelliIDS: Detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.476686Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:084610e04ac370a980294ade1c92b53f9dcf2a13ebbceff4d7961ff69b7bf896","observation_id":"ca1b3955-d15d-4f88-8d17-62824f9f47da","resolution":{"observed_at":"2026-08-03T15:51:29.476686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.479554Z","title":"2-step prediction for detecting attacker in vehicle to vehicle communication,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.479554Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:16a588ec305793b3c8de7008fa7eb10ae41d6c2cc5b3cd04c59eda28fe7c45d6","observation_id":"d92c924d-8751-4e19-888a-25f80210fd0e","resolution":{"observed_at":"2026-08-03T15:51:29.479554Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.482569Z","title":"Anomaly detection for in-vehicle network using CNN-LSTM with attention mechanism,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.482569Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:5c14f868f4eacf5a99dd6fefab12a7f16fb1206a01417abc8a1cf4f8841f750e","observation_id":"23164835-c4fb-4f50-b559-66265159a74c","resolution":{"observed_at":"2026-08-03T15:51:29.482569Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.485126Z","title":"Mobile edge assisted literal multi-dimensional anomaly detection of in-vehicle network using LSTM,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.485126Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:9575e80fba1b4ea16680a28f13c3ba96a0c5290f20e2132d2bd3ecdd7cf2ad28","observation_id":"ff350cf8-f493-4eba-8780-b9b4b7a2e279","resolution":{"observed_at":"2026-08-03T15:51:29.485126Z","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":"10.1145/3287065","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A data-driven misbehavior detection system for connected autonomous vehicles,","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","work_id":"3ce02037-ece9-4879-b95f-0c6f072d1adf","year":2018},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.488081Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:218ba915fad206f34d3a4fcdf8ab24600541529935f39f70d6620e90be1d0503","observation_id":"f7eef875-e92a-43e7-876d-49f384feab18","resolution":{"observed_at":"2026-08-03T15:53:29.231765Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-03T15:51:29.490453Z","title":"Survey on misbehavior detection in cooperative in- telligent transportation systems,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.490453Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:eb7fc20fd8293241d6f588bd712e57d7d258b8dfd415c1f205fdccce6b4daaf6","observation_id":"12860138-0df9-454b-b5a1-4c5fb42a0184","resolution":{"observed_at":"2026-08-03T15:51:29.490453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.492801Z","title":"VeReMi extension: A dataset for comparable evaluation of misbehavior detection in V ANETs,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.492801Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:2cf4a1fb9d4d51387c41dbcd744a03b9d7f7a160cafd9a19cde60b18dc89fade","observation_id":"b64a2f25-adaa-46ff-96ae-72268ee43e89","resolution":{"observed_at":"2026-08-03T15:51:29.492801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.495781Z","title":"A machine-learning-based data-centric misbe- havior detection model for Internet of Vehicles,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.495781Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:dda0bdfc35d838b586ff346d93dc1d9bd9376c40f486459b4c9627abafd06dda","observation_id":"413cec81-c859-41db-8df3-2f0fbd68ab98","resolution":{"observed_at":"2026-08-03T15:51:29.495781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.02642","last_updated":"2022-06-29T13:21:52Z","snapshot_observed_at":"2026-08-10T03:00:12.138387Z","submitted_at":"2021-10-06T10:33:55Z","title":"Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.02642","snapshot_observed_at":"2026-08-03T15:51:29.498633Z","title":"Anomaly transformer: Time series anomaly detection with association discrepancy,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.498633Z"},"links":{"cited_paper":"/paper/2110.02642","citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:20e40c5e0d7b354751c7901698a7223e09119dc2aeea3bd7ad5879b99380f14d","observation_id":"93bd3dfc-81f8-489d-9a68-81865a00c334","resolution":{"observed_at":"2026-08-03T15:51:29.498633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07284","last_updated":"2022-05-14T15:21:54Z","snapshot_observed_at":"2026-08-08T20:08:10.186773Z","submitted_at":"2022-01-18T19:41:29Z","title":"TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07284","snapshot_observed_at":"2026-08-03T15:51:29.501430Z","title":"TranAD: Deep transformer networks for anomaly detection in multivariate time series data,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.501430Z"},"links":{"cited_paper":"/paper/2201.07284","citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:0baad284c4124479bb3657dc43322873353dcd34c4d2ff51bf29afbfd413e2ab","observation_id":"d56e99e7-5fa4-4566-be74-3dd33f8f0db0","resolution":{"observed_at":"2026-08-03T15:51:29.501430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.04468","last_updated":"2023-05-08T05:42:24Z","snapshot_observed_at":"2026-08-09T02:46:59.159622Z","submitted_at":"2023-05-08T05:42:24Z","title":"AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.04468","snapshot_observed_at":"2026-08-03T15:51:29.504155Z","title":"AnomalyBERT: Self-supervised transformer for time series anomaly detection using data degradation scheme,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.504155Z"},"links":{"cited_paper":"/paper/2305.04468","citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:da9a2a2753778eea4eb284b5bec58b05ce18bff8e5d946ae822b6db2c772ad2c","observation_id":"8e9426dc-f682-4817-8dc3-04a913632bff","resolution":{"observed_at":"2026-08-03T15:51:29.504155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.506826Z","title":"A transformer-based network intrusion detection approach for cloud security,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.506826Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:fab3bb70a76aceea8aeb75f9205537f2659939a061fdcadd3661caf6c4b37a0e","observation_id":"e0e3882c-6cd4-4f1f-bb54-a228a0ce28e9","resolution":{"observed_at":"2026-08-03T15:51:29.506826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.509238Z","title":"Edge intelligence in intelligent transportation systems: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.509238Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:eb886b02ba6117e043edfe57bfdf84b588031e4d2d1ab311a3ac16e90022af3e","observation_id":"f9e397a5-c94d-4920-979c-af2822ebbdc7","resolution":{"observed_at":"2026-08-03T15:51:29.509238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.511430Z","title":"Robustifying the deployment of tinyML models for autonomous mini-vehicles,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.511430Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:5c505e888e05e7f60eb0c65d4be35e82f90187331e8d1d7b38f57fd9b9e0ac0d","observation_id":"eda2256b-3480-461a-bce9-71eec0d93dca","resolution":{"observed_at":"2026-08-03T15:51:29.511430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.513691Z","title":"TinyML: Enabling of inference deep learning models on ultra-low-power IoT edge devices for AI applications,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.513691Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:e2b48e72fe186e4508dfbbe42bf8c2e220a35b87b96797cc94aa625975dde8cd","observation_id":"5e8496fb-dcdf-4d71-9289-125023ab1664","resolution":{"observed_at":"2026-08-03T15:51:29.513691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.516270Z","title":"Accelerating DNN inference with reliability guarantee in vehicular edge computing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.516270Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:29f27aefca58a5e160dfbffb5b7a28f8d6e56ad99832c99da825b9f7f51401e5","observation_id":"9953b4f0-6668-42ec-b62e-97c07c7749ae","resolution":{"observed_at":"2026-08-03T15:51:29.516270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.518805Z","title":"DNN inference acceleration based on adaptive task partitioning and offloading in embedded VEC,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.518805Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:3fe5372f1e192a47d3ef998a012e9bb7d59c3c8afa3ce1f933d857a591edca4f","observation_id":"9cb4540b-a72f-413d-ab7a-266289a5964d","resolution":{"observed_at":"2026-08-03T15:51:29.518805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.521518Z","title":"Embedded federated learning for V ANET environments,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.521518Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:2526163898178b06403369d4a0d1ec7f4ffd5af7a2bba512e74866f79f21cbe1","observation_id":"29e6b6b8-5845-48b9-8055-2219b8d4bd24","resolution":{"observed_at":"2026-08-03T15:51:29.521518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.524539Z","title":"Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.524539Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:4c2f731256d637dd0954658be1d24b6155337807470bd17a3ffd751f5590716d","observation_id":"0f4ecbcd-1471-40f9-b90c-081ccb73dd9e","resolution":{"observed_at":"2026-08-03T15:51:29.524539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T15:51:29.526930Z","title":"Resource constrained vehicular edge federated learning with highly mobile connected vehicles,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-03T15:51:29.526930Z"},"links":{"citing_paper":"/paper/2512.15503"},"observation_digest":"sha256:d4927b16f55963167b33dee2170042cc386909d2cc541ad8fac13972b2530460","observation_id":"86d6aa0c-7b31-41c5-b334-d4440168090a","resolution":{"observed_at":"2026-08-03T15:51:29.526930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2512.15503","last_updated":"2026-06-23T16:32:29Z","latest_version":3,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-09T02:46:54.413041Z","submitted_at":"2025-12-17T14:45:33Z","title":"Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":74,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":75},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2512.15503."}