{"as_of":"2026-08-09T19:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dc88dd2c28454ddbf77c71cf7e290ae66b12cc850e0049e39b652c86b70caf43","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T00:35:58.348763Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.00690/citation-record","integrity":"/paper/2608.00690/integrity","json":"/paper/2608.00690/citation-record.json","paper":"/paper/2608.00690"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T00:35:58.855714Z","title":"Diversity maximized scheduling in roadside units for traffic monitoring applications,","venue":null,"work_id":"076f9df3-49b8-475a-8832-bd1f5891ace8","year":2023},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.301373Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:f21116a3358f4aa9102eaabe491adb72301a27a7d22c5699726009fefebdd082","observation_id":"7d33cc37-e986-4698-b2e9-30fe5f90915a","resolution":{"observed_at":"2026-08-05T00:35:58.858688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T00:35:58.847437Z","title":"An approach to improve the quality of service in dtn and non-dtn based vanet,","venue":null,"work_id":"b2716e87-eb5d-4fdd-b462-3ca37d118882","year":2021},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.304472Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:7aa6aeeef29f4ae64e19b02b9357bf76d5466a2d7e4eaf78ca3aea5405b8b61a","observation_id":"3dbcefe2-05ea-4d8c-aa5c-c02df59e8634","resolution":{"observed_at":"2026-08-05T00:35:58.850584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T00:35:58.838051Z","title":"Extended visibility of autonomous vehicles via optimized cooperative perception under imperfect commu- nication,","venue":null,"work_id":"7e7e5fab-d99a-4178-a265-3c3e42ea3162","year":2025},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.307040Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:86a5373c148f9034c1b49f3e780b3dfc8ab33ff1a6bda3be16c9896c6bb912f2","observation_id":"e76a7b66-4ea1-403c-9bd3-ea738f478ad7","resolution":{"observed_at":"2026-08-05T00:35:58.841126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T00:35:58.309675Z","title":"Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.309675Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:60fbefeaad761aae83e59c1990f1ad101c4d7e7e73dee94c94e11942d319a9e7","observation_id":"e825a98e-f4e7-4cb0-9258-27b32e602228","resolution":{"observed_at":"2026-08-05T00:35:58.309675Z","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":"2026-08-05T00:35:58.824389Z","title":"Confidence- v2x: Confidence-driven sparse communication for efficient v2x coopera- tive perception,","venue":null,"work_id":"c60e39de-f6ef-40b6-90e4-3aa5a164810a","year":2026},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.312334Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:347b2ef41b40f0e48e6512c329badc4e7ee6fbf41d71e597c11d8ed1f54fef22","observation_id":"32e235bd-fdbd-420c-bc9f-ec2b6854c9ea","resolution":{"observed_at":"2026-08-05T00:35:58.827683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T00:35:58.314947Z","title":"V2v-llm: Vehicle-to-vehicle cooperative autonomous driving with multi-modal large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.314947Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:610f54e2b144769193ffdf72cb62b33f596f33c3e606c49972ef217e2363224e","observation_id":"a7452bce-214e-4a92-b00d-6d922c0b3d24","resolution":{"observed_at":"2026-08-05T00:35:58.314947Z","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":"2602.00885","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T00:35:58.563814Z","title":"Reliability-aware determinantal point processes for robust informative data selection in large language models,","venue":null,"work_id":"29073c1b-63f4-4412-af88-4074813247a0","year":2026},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.317906Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:5381d054ff11689c0806128ab936a1f104af553561655da41910f731b56773ee","observation_id":"596ff979-0ed4-4354-9bdc-d42b66dfb5b8","resolution":{"observed_at":"2026-08-05T00:35:58.570846Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T00:35:58.320245Z","title":"F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.320245Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:a3e72cddeaf4b098110cdf5620eb86d528dd4ba62553ffa1d49448486c148556","observation_id":"9863aa56-a31c-475c-98aa-a0711f0583d8","resolution":{"observed_at":"2026-08-05T00:35:58.320245Z","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":"2026-08-05T00:35:58.322641Z","title":"V2vnet: Vehicle-to-vehicle communication for joint perception and prediction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.322641Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:385e544ac3fde832d6d97374ea849270d92f4b41346b4ce26daf20ef51f996e4","observation_id":"8028c6dd-ad48-473f-ace5-3c913082e0aa","resolution":{"observed_at":"2026-08-05T00:35:58.322641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.02202","last_updated":"2022-09-25T07:19:32Z","snapshot_observed_at":"2026-07-06T13:28:05.405493Z","submitted_at":"2022-07-05T17:59:28Z","title":"CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.02202","snapshot_observed_at":"2026-08-05T00:35:58.325019Z","title":"Cobevt: Cooper- ative bird’s eye view semantic segmentation with sparse transformers,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.325019Z"},"links":{"cited_paper":"/paper/2207.02202","citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:34f27406a421780aa34e814a71942e983510f6638a468cbb875a08864df8b8c6","observation_id":"c9f02a19-b2b9-4181-9dcd-4e5ebb748d85","resolution":{"observed_at":"2026-08-05T00:35:58.325019Z","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":"2026-08-05T00:35:58.327739Z","title":"V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.327739Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:cc4c961013739e4d2d059c7dc08c8c702decfbe80891f56e984c807bf3f0b931","observation_id":"a20394a3-a70b-4d29-b43f-01167712cf2b","resolution":{"observed_at":"2026-08-05T00:35:58.327739Z","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":"2026-08-05T00:35:58.330432Z","title":"Where2comm: Communication-efficient collaborative perception via spatial confidence maps,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.330432Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:e6a8a93110535c61b091177673a95745f2b34c3344b99ed4bd4a9d776026772a","observation_id":"3e454b9f-a014-4986-8e83-d2488d3bf55e","resolution":{"observed_at":"2026-08-05T00:35:58.330432Z","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":"2026-08-05T00:35:58.332759Z","title":"Drivegpt4: Interpretable end-to-end autonomous driving via large language model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.332759Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:087256b3717d4062b00d0bb7f1de7ff192fdc4b4f2bb3ec7ebefb1935b3ed5d0","observation_id":"0016775a-68de-4a82-ac00-0f3fbe8358a3","resolution":{"observed_at":"2026-08-05T00:35:58.332759Z","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":"2026-08-05T00:35:58.335518Z","title":"Lmdrive: Closed-loop end-to-end driving with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.335518Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:de3c02c249fadcb8df7727054871a934a0066bc5c80cad6b5551dda6566f07dc","observation_id":"d9f22cb0-cd8a-4c44-94c0-42c3e0c41b03","resolution":{"observed_at":"2026-08-05T00:35:58.335518Z","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":"2026-08-05T00:35:58.337808Z","title":"Drivelm: Driving with graph visual ques- tion answering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.337808Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:22fd525905986051c8891470591b0131b598da97b369fe0eb42d0dd69172f824","observation_id":"ad44ac87-6b52-4e39-853c-e21b9c7df344","resolution":{"observed_at":"2026-08-05T00:35:58.337808Z","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":"2026-08-05T00:35:58.780839Z","title":"Drivegpt4-v2: Harnessing large language model capabilities for enhanced closed-loop autonomous driving,","venue":null,"work_id":"9fc8c65b-a298-412b-8121-efe682ee9f3b","year":2025},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.340233Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:c1c0248b86219c8e50baa1fda588b12b03baa7e102d15ab030052248df3cfc63","observation_id":"a70c13ce-8178-46c9-a72c-a155da16be2d","resolution":{"observed_at":"2026-08-05T00:35:58.785196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23262","last_updated":"2025-09-23T04:19:59Z","snapshot_observed_at":"2026-08-05T06:31:46.069300Z","submitted_at":"2024-10-30T17:46:31Z","title":"EMMA: End-to-End Multimodal Model for Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23262","snapshot_observed_at":"2026-08-05T00:35:58.343581Z","title":"Emma: End-to-end multimodal model for autonomous driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.343581Z"},"links":{"cited_paper":"/paper/2410.23262","citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:6ae75a2ce2054f3354c0bcb17ae99b6766d502993118f9b76f1e031005aea57e","observation_id":"5eac50f2-db6d-4e7d-832d-e4aec3ec9b00","resolution":{"observed_at":"2026-08-05T00:35:58.343581Z","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":"2026-08-05T00:35:58.346281Z","title":"Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to- vehicle communication,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.346281Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:ef5f44b69fe8e1bb89ff89f54d24d9b92dde6f4533aa0ebb18e754d1bfa44cd9","observation_id":"c694e92b-96f3-4153-903f-3f65e6bb4d64","resolution":{"observed_at":"2026-08-05T00:35:58.346281Z","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":"2026-08-05T00:35:58.768789Z","title":"V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,","venue":null,"work_id":"8be59d18-3ca1-473f-abd0-2498ba66b7b1","year":2023},"citing_paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T00:35:58.348763Z"},"links":{"citing_paper":"/paper/2608.00690"},"observation_digest":"sha256:efadb1ea287f73809cf12946932267878bfc85bf41049fc558b12fa292b51b27","observation_id":"795f3c4c-e30c-416f-89fd-afdf706fff49","resolution":{"observed_at":"2026-08-05T00:35:58.772027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.00690","last_updated":"2026-08-01T14:31:39Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-08T07:11:47.856276Z","submitted_at":"2026-08-01T14:31:39Z","title":"LLM-Assisted Coalition Formation for Cooperative Perception in Autonomous Driving"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":1,"verified_fuzzy":6},"total_outbound_references":19},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.00690."}