{"as_of":"2026-08-21T21:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:833a2d2949fdc3c89ec98a3da1863453c619f50060d50d2a2df5f38983d70f49","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T16:37:13.609652Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:28:47.754368Z","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":"2026-05-18T03:00:48.106708Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.13340","snapshot_observed_at":"2026-08-16T12:28:47.754368Z","title":"Whales: A multi-agent schedul- ing dataset for enhanced cooperation in autonomous driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12696","last_updated":"2025-06-20T13:01:16Z","snapshot_observed_at":"2026-08-20T22:31:38.012556Z","submitted_at":"2025-04-17T06:49:21Z","title":"Collaborative Perception Datasets for Autonomous Driving: A Review","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-16T12:28:47.754368Z"},"links":{"cited_paper":"/paper/2411.13340","citing_paper":"/paper/2504.12696"},"observation_digest":"sha256:6557bc2893885224bffd2ce7554c8fd307588f8eac332a6ae63e873d4726830d","observation_id":"48e2100c-2d05-4877-8f68-ef8e78adea97","resolution":{"observed_at":"2026-08-16T12:28:47.754368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.13340","snapshot_observed_at":"2026-08-05T22:06:55.851344Z","title":"arXiv preprint arXiv:2411.13340 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07560","last_updated":"2025-08-11T02:40:46Z","snapshot_observed_at":"2026-08-20T15:15:25.638779Z","submitted_at":"2025-08-11T02:40:46Z","title":"Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey","version":1},"reference_index":291,"source":"pdf_text","source_observed_at":"2026-08-05T22:06:55.851344Z"},"links":{"cited_paper":"/paper/2411.13340","citing_paper":"/paper/2508.07560"},"observation_digest":"sha256:2983b31e0c0bb706fea5637374cb311ffcac992aac3550958f197353f0dadd9a","observation_id":"cd9e1d45-9bdd-4919-a761-9babc8541184","resolution":{"observed_at":"2026-08-05T22:06:55.851344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"cited_work":{"arxiv_id":"2411.13340","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.13340","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"35df3c1f-09c7-4a91-a4c1-b23d385521a2","year":2024},"citing_paper":{"arxiv_id":"2510.26641","last_updated":"2026-04-09T21:40:47Z","snapshot_observed_at":"2026-08-15T22:09:41.056120Z","submitted_at":"2025-10-30T16:08:25Z","title":"All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles","version":4},"reference_index":114,"source":"pdf_text","source_observed_at":"2026-05-18T02:59:09.920153Z"},"links":{"cited_paper":"/paper/2411.13340","citing_paper":"/paper/2510.26641"},"observation_digest":"sha256:028788d27bd9d1b57732400a5a641512853ec30f6f243c2d4c75cbbe4e9603bf","observation_id":"d68f1a7e-9a24-4c1f-bfef-d3ad7e1b30e6","resolution":{"observed_at":"2026-05-18T03:00:48.109764Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.13340/citation-record","integrity":"/paper/2411.13340/integrity","json":"/paper/2411.13340/citation-record.json","paper":"/paper/2411.13340"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:37:14.190314Z","title":"A survey of autonomous driving: Common practices and emerging technologies,","venue":null,"work_id":"3251878b-55f2-423b-ba89-6aac9bee45ca","year":2020},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.448499Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:db9fa51de6e703ba226a6a5d2903056f1f07aea104cca153d175d626c1b6d4b2","observation_id":"2644cd8a-2eca-4e2a-ad8d-dbf2a9bd862f","resolution":{"observed_at":"2026-08-12T16:37:14.195098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.176352Z","title":"Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,","venue":null,"work_id":"e524361c-9704-413b-b819-e7d822e627f1","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.454070Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:c67081968dfeee34478538eea509237deb641789037f963c0f082aa9e258499c","observation_id":"52e9d48c-d3e1-40ca-b7c8-c3a6bcea070c","resolution":{"observed_at":"2026-08-12T16:37:14.180843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.161454Z","title":"Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving,","venue":null,"work_id":"ca0d1587-ec2d-4103-8e25-99b5cdbdfa57","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.459009Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:5f5c0a36932dde8b0238d640f28d63950e73de7b54e4aa530ea610aea5fd7b16","observation_id":"3dd309b5-b2c5-4801-87a2-4c878c4c990b","resolution":{"observed_at":"2026-08-12T16:37:14.166510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.146470Z","title":"Track- former: Multi-object tracking with transformers,","venue":null,"work_id":"1746faad-2dfc-406e-8d92-bc565f65fccb","year":2022},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.463882Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:60b90900b2a610020c618b6e3229572ef59ee2b3545a77ac48cc00cd68545a87","observation_id":"77f9ac35-475d-44cd-b49a-76f7f8e3d191","resolution":{"observed_at":"2026-08-12T16:37:14.151431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.129140Z","title":"Planning-oriented autonomous driving,","venue":null,"work_id":"702506cc-e13a-404a-b594-8274a992101c","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.469170Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:035664ee5df070739c1577e0fe44f2a28989adaa1deb4fde23e1961acdb51f90","observation_id":"aa17506c-b27a-4701-be6a-5978753895d9","resolution":{"observed_at":"2026-08-12T16:37:14.134780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.114135Z","title":"V2x- vit: Vehicle-to-everything cooperative perception with vision trans- former,","venue":null,"work_id":"58cb0bcc-ea51-4174-8c31-3711dc0cadd8","year":2022},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.474251Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:6945de401f47409e9a8092e46b14030533d15cdbb8f7d5f1f2b6aea067524b19","observation_id":"2f73e18d-e9b7-45bb-8785-d00c6db98b42","resolution":{"observed_at":"2026-08-12T16:37:14.118915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.098708Z","title":"Where2comm: Communication-efficient collaborative perception via spatial confi- dence maps,","venue":null,"work_id":"d0cd57f4-a590-4f05-beff-7ee009af7440","year":2022},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.479585Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:8b61d44aea1eec8de35becf6b623d73cd391393ffab23cf714ec0d2405fbec67","observation_id":"fe6684ca-12d7-463d-8b09-3c94df729af2","resolution":{"observed_at":"2026-08-12T16:37:14.104187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.082500Z","title":"Latency-aware collaborative perception,","venue":null,"work_id":"44614cea-7ae6-4cdd-8ec1-ef6444862788","year":2022},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.483985Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:125021ec36f2f926170152198739e70e4aeb26de5106474b7f337c9555127b39","observation_id":"ce818328-3c36-4d98-b0d8-5e5e2879efdc","resolution":{"observed_at":"2026-08-12T16:37:14.088078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.066050Z","title":"Learning for vehicle-to-vehicle cooperative perception under lossy communication,","venue":null,"work_id":"7cb5fe53-021a-46f2-98e4-9951b6e2d558","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.488245Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:bac35f568125e7df84e402c7bf6deb3bd7aa8ccb83dbc6466cb1110eb0555372","observation_id":"fa47a29e-8d00-48db-86f4-e4b5117840ef","resolution":{"observed_at":"2026-08-12T16:37:14.071311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.050133Z","title":"Collaboration helps camera overtake lidar in 3d detection,","venue":null,"work_id":"5278623e-3dde-4d77-b91d-0f1642d46b81","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.492488Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:fc9758fe4f3f2cfdca7680a36d13b7f222923ed8a9e6feed3eeceb51f561a09c","observation_id":"d90ef2c3-6f29-45c2-8168-c930ee676665","resolution":{"observed_at":"2026-08-12T16:37:14.055052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.032469Z","title":"Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection,","venue":null,"work_id":"d83bef57-df8d-40aa-8950-36bca71fbf5e","year":2022},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.497026Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:48a51c15bca243751eb14b15f19a3b752301a26f2a2e9c6b3e4f015cc956b00f","observation_id":"98e3a266-6e9f-4fdb-bdeb-8a122354211d","resolution":{"observed_at":"2026-08-12T16:37:14.038286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:14.010393Z","title":"Dolphins: Dataset for collaborative perception enabled harmonious and interconnected self-driving,","venue":null,"work_id":"8ca2f7d8-90d8-45b3-a2d3-7e05f739a380","year":2022},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.501716Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:8315a00095a6bb22338cb4d26d42eb176dba73993990bbbf4a8f754e55adcbb6","observation_id":"82d4f7af-4297-4392-9263-ebe1f3554981","resolution":{"observed_at":"2026-08-12T16:37:14.021714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.995214Z","title":"Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to- vehicle communication,","venue":null,"work_id":"64244b22-5c9f-4371-84fa-7611fed7f0fd","year":2022},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.506316Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:fa4c8c163cbe9ead2eebaca2e5bcdd9f60a4a306c35ca5a5b0cf4a59a1adae18","observation_id":"efebc6b6-1ffb-4f05-a5bc-650a28ba3be6","resolution":{"observed_at":"2026-08-12T16:37:14.000242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.980324Z","title":"Robust collaborative 3d object detection in presence of pose errors,","venue":null,"work_id":"cfcf3ebf-c760-46d1-bdd5-97f2a43ebb8a","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.510956Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:6e7d7f0357c96baf3600e65d819064881266c8b414d83a6c8d6bd2d5e95b9e4e","observation_id":"50ffc938-ded4-4941-9cc3-a7afab5d5c9e","resolution":{"observed_at":"2026-08-12T16:37:13.985065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.966260Z","title":"Vision meets robotics: The kitti dataset,","venue":null,"work_id":"0e40ea45-c6c8-4704-84c7-fe1a397a1170","year":2013},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.515306Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:8d61b23766799bbee3547399dc815e9fb934181fe417d5efe69d97629181cdaf","observation_id":"5a22c5eb-1ecd-4c60-a8f4-d805e749e01e","resolution":{"observed_at":"2026-08-12T16:37:13.970957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.951111Z","title":"nuscenes: A multimodal dataset for autonomous driving,","venue":null,"work_id":"ea585569-75a7-42af-b0f1-acc29cfc701e","year":2020},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.519737Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:090f34b06381f773f6d0bb638dbae56dc85afe88fa7e2b8ee006467a3d9b664a","observation_id":"455f74c0-e366-45d4-bccb-81a0409027c0","resolution":{"observed_at":"2026-08-12T16:37:13.956247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.936793Z","title":"Scalability in perception for autonomous driving: Waymo open dataset,","venue":null,"work_id":"958699b4-f05b-4749-aab5-b266edcb4070","year":2020},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.524013Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:a32fa44eea8c1b83e6b5176bbeb5dc4ce59fbb2467d54b3e3dff6a4e1b2eb6fe","observation_id":"e2af0fd7-2009-4a42-b550-bb0a5c0c1e7c","resolution":{"observed_at":"2026-08-12T16:37:13.941449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.921887Z","title":"Argoverse: 3d tracking and forecasting with rich maps,","venue":null,"work_id":"c089460e-a6ba-405e-87f2-bc743019e466","year":2019},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.528426Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:d465da27aa93bad522c83f0e7205a22a08650465ed8cb7fc7585d37233f7db12","observation_id":"4dba4abb-e907-48f1-b6b9-b5beea64033e","resolution":{"observed_at":"2026-08-12T16:37:13.926831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-12T16:37:13.532691Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.532691Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:bc5b30ecfb67049a6e3db30ad6f8f64d429a670b46bfa95169fc044f2390480b","observation_id":"157ee1a3-215b-4345-82d3-ef79cfd55b94","resolution":{"observed_at":"2026-08-12T16:37:13.532691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.11810","last_updated":"2022-02-04T02:50:02Z","snapshot_observed_at":"2026-08-13T09:27:32.843417Z","submitted_at":"2021-06-22T14:24:55Z","title":"NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.11810","snapshot_observed_at":"2026-08-12T16:37:13.537854Z","title":"Nuplan: A closed-loop ml- based planning benchmark for autonomous vehicles,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.537854Z"},"links":{"cited_paper":"/paper/2106.11810","citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:207ac2dca58cad9c3f6da696ab28c6c0a1c47dff6141ca9d28ecce4ac23126b5","observation_id":"5a81f294-6e67-441b-b213-bd1208cc5aed","resolution":{"observed_at":"2026-08-12T16:37:13.537854Z","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":"2026-08-12T16:37:13.907285Z","title":"V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,","venue":null,"work_id":"105c6cbd-70f4-4956-82f3-7b0ef0922301","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.542620Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:a35d60f722776383e1f46010434f35f3019144f710fa2fc13ecf2cb05efc09de","observation_id":"088d09b5-6a45-4a18-8947-31f162ff45f5","resolution":{"observed_at":"2026-08-12T16:37:13.911960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.892590Z","title":"V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting,","venue":null,"work_id":"f79346d5-4d24-479d-a35b-9ef49d8335ee","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.547007Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:e9946f3167af460ff59c7d4d85856044acdd6772db6f1eba8baeb3e4c5432b34","observation_id":"45d17908-4865-40f0-a857-afd635d87f26","resolution":{"observed_at":"2026-08-12T16:37:13.897545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.877159Z","title":"Tumtraf v2x cooperative perception dataset,","venue":null,"work_id":"355b2a38-22a1-4cda-9665-005ac49eb529","year":2024},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.551306Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:48df2b69f2c5d663417fb320259214c46725c6e18db140af22ccbfb346408d92","observation_id":"9ebd0bc9-85b2-4b84-b036-be3b1ff63d9d","resolution":{"observed_at":"2026-08-12T16:37:13.882596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16034","last_updated":"2024-12-16T19:00:47Z","snapshot_observed_at":"2026-08-18T02:44:24.487826Z","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":"2026-08-12T16:37:13.555967Z","title":"V2x-real: a large-scale dataset for vehicle-to- everything cooperative perception,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.555967Z"},"links":{"cited_paper":"/paper/2403.16034","citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:df66e13a33958e0117c0366d2d11ff3e14566ca58f9b66a7d7c0cb302134e8ae","observation_id":"49382711-91bf-4c88-9a7d-ab1bb526f76b","resolution":{"observed_at":"2026-08-12T16:37:13.555967Z","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":"2026-08-12T16:37:13.861316Z","title":"Carla: An open urban driving simulator,","venue":null,"work_id":"2417674c-051c-4a56-a3e6-5f70b04e454a","year":2017},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.561061Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:83af5e82aabcf301d64a99c175984bb0e22113d7034f2afc5ab8493c1963e356","observation_id":"3b0f0e7b-0ce5-4144-86eb-0c0b7183161f","resolution":{"observed_at":"2026-08-12T16:37:13.866217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.845342Z","title":"V2x- sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving,","venue":null,"work_id":"a9666ac6-238f-4a31-a8cf-1796a089794e","year":2022},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.565330Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:e3a3cfa0c5dcd80f011a99d9a477837b04d9debc3547ea0246c9238597e13e86","observation_id":"8dc22ab3-c368-4991-97e5-6ba2902fb63d","resolution":{"observed_at":"2026-08-12T16:37:13.850998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.828994Z","title":"Mass: Mobility-aware sensor scheduling of cooperative perception for connected automated driving,","venue":null,"work_id":"ede2033f-be7e-49ef-a0d2-8b9cace7103f","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.569741Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:f23dcf396e2b62aff17f729d607954f3c4409fadbbea6dcbdeb81544cbf903ac","observation_id":"33e79ef9-0c83-4f95-a4c2-812b40b02a7a","resolution":{"observed_at":"2026-08-12T16:37:13.834760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.813429Z","title":"Online v2x schedul- ing for raw-level cooperative perception,","venue":null,"work_id":"38f801a8-d37a-4f4f-943c-0d4ba3cfae03","year":2022},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.573997Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:e57f196f4c422f0b95c78764c8570b93d3e5211e75f1f8adcd08fcd0c50d42cc","observation_id":"5cc7ab98-5cfb-408f-86da-9b19e7f7a8a6","resolution":{"observed_at":"2026-08-12T16:37:13.818580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.798859Z","title":"End-to- end urban driving by imitating a reinforcement learning coach,","venue":null,"work_id":"ee587357-eecd-4d23-b89e-8b63f3365cb7","year":2021},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.578460Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:d8f45467d590a20d681b564a5b28fe757c2be458d32ad95101bfb0f1139b395e","observation_id":"7b690625-7434-4568-ab72-493fad549e7a","resolution":{"observed_at":"2026-08-12T16:37:13.803709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.781950Z","title":"Opencda: An open cooperative driving automation framework integrated with co-simulation,","venue":null,"work_id":"8c34aeaa-2e9b-4b98-81cb-5dcb079ff154","year":2021},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.583059Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:b9ef5ceb56de815439821710ed0ff0b601c2e868110210bbc6b9e1dd77c4169c","observation_id":"49d01e54-908a-454e-8b34-b8c7e0ab558e","resolution":{"observed_at":"2026-08-12T16:37:13.786901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.766298Z","title":"Pointpillars: Fast encoders for object detection from point clouds,","venue":null,"work_id":"866fa4cc-e963-46eb-83c2-f78c370797d9","year":2019},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.587718Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:b5f3c9ea30fddd1368ffc10a1702d29ac58347dbe729ca1bc08ffcd689d61f69","observation_id":"6ef595f4-0d5f-4f49-8007-afd3cfe58734","resolution":{"observed_at":"2026-08-12T16:37:13.771689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.592224Z","title":"Second: Sparsely embedded convolutional detection,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.592224Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:28117cbeda979ebc9bb580b67a0da9e30883cbfee635cec59c1d788a970e0c25","observation_id":"4df0a715-ca13-4f9e-862d-053345359e9c","resolution":{"observed_at":"2026-08-12T16:37:13.592224Z","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":"2026-08-12T16:37:13.740572Z","title":"Designing network design spaces,","venue":null,"work_id":"e9be4620-e764-46ea-9d11-147828ee3a3b","year":2020},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.596387Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:46c6cc2c4d09bf84e1461c94ec1ddd6a6cf825fbe3084e3e192216030c35c661","observation_id":"72c7500d-c520-4918-86ea-de19b5551887","resolution":{"observed_at":"2026-08-12T16:37:13.745556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.724805Z","title":"V oxelnext: Fully sparse voxelnet for 3d object detection and tracking,","venue":null,"work_id":"6225f03c-dee4-419a-a231-bc0bb0248ed1","year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.600831Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:852f6e4d77f5b192c4ffa2b87c4707b1d4ad795e3e341486bafc97bd8a67b259","observation_id":"ce5f0d24-3cf3-4906-a201-c90d1cf9e377","resolution":{"observed_at":"2026-08-12T16:37:13.730042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.707654Z","title":"Mmdetection3d: Openmmlab next-generation plat- form for general 3d object detection,","venue":null,"work_id":"f9f187b0-aba1-4655-a9a9-220e5831bca5","year":2020},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.605249Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:07839b566279e1e410d543dd073531ba291bd74e5f1022cfdba57ed7ff2a4c5a","observation_id":"2da5360d-f4b0-4c16-916c-6b29c6d64550","resolution":{"observed_at":"2026-08-12T16:37:13.712503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T16:37:13.690074Z","title":"F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds,","venue":null,"work_id":"3421baa7-f6e2-487b-b5ac-557eabbb2e2e","year":2019},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.609652Z"},"links":{"citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:a1f1c6b63a4fa13aafde61d59f4251b4a33802f9d2f9a3e429ae1ab60196b8e6","observation_id":"db92e83c-8ea9-4be5-a8fb-cd968028caf3","resolution":{"observed_at":"2026-08-12T16:37:13.697140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":32},"total_outbound_references":36},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2411.13340."}