{"as_of":"2026-08-13T05:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f149f5ae52638f2fe02a1fea8a82a1887e46ee6dedbec40ffd483eaac795e02d","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:02:59.697040Z","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":"2026-07-02T15:07:04.030431Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.14917","last_updated":"2025-02-19T09:50:44Z","snapshot_observed_at":"2026-08-12T00:26:31.299959Z","submitted_at":"2025-02-19T09:50:44Z","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","version":1},"cited_work":{"arxiv_id":"2502.14917","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14917","snapshot_observed_at":"2026-07-02T15:07:04.030431Z","title":"Sce2drivex: A generalized mllm framework for scene-to-drive learn- ing,","venue":null,"work_id":"e8421539-fbdf-4cd8-a992-d1ae8de33efb","year":2025},"citing_paper":{"arxiv_id":"2503.12605","last_updated":"2025-03-23T13:47:43Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-16T18:39:13Z","title":"Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey","version":2},"reference_index":148,"source":"pdf_text","source_observed_at":"2026-05-15T17:18:52.996467Z"},"links":{"cited_paper":"/paper/2502.14917","citing_paper":"/paper/2503.12605"},"observation_digest":"sha256:db47ad2ccc0fa856789c197f1c77c4ed34c1c9560ed331b1687c6b33c39fdc91","observation_id":"7b5efd11-9b1c-4117-b021-69dfa03fc221","resolution":{"observed_at":"2026-05-15T17:18:53.248546Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14917","last_updated":"2025-02-19T09:50:44Z","snapshot_observed_at":"2026-08-12T00:26:31.299959Z","submitted_at":"2025-02-19T09:50:44Z","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14917","snapshot_observed_at":"2026-08-07T14:02:59.697040Z","title":"Sce2drivex: A generalized mllm framework for scene-to-drive learn- ing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20223","last_updated":"2025-05-26T17:06:00Z","snapshot_observed_at":"2026-08-09T21:06:33.120007Z","submitted_at":"2025-05-26T17:06:00Z","title":"Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects","version":1},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-08-07T14:02:59.697040Z"},"links":{"cited_paper":"/paper/2502.14917","citing_paper":"/paper/2505.20223"},"observation_digest":"sha256:35d3c0a8541fd6f13d8d80e98d201daeb2e0c16f5b0468f12e26c859e890c327","observation_id":"c61f6775-56e9-4bcb-a934-453ab960b3a5","resolution":{"observed_at":"2026-08-07T14:02:59.697040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14917","last_updated":"2025-02-19T09:50:44Z","snapshot_observed_at":"2026-08-12T00:26:31.299959Z","submitted_at":"2025-02-19T09:50:44Z","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14917","snapshot_observed_at":"2026-08-06T21:31:04.891588Z","title":"Sce2drivex: A generalized mllm framework for scene-to-drive learning.arXiv preprint arXiv:2502.14917, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.24044","last_updated":"2025-06-30T16:50:02Z","snapshot_observed_at":"2026-08-12T19:26:12.850812Z","submitted_at":"2025-06-30T16:50:02Z","title":"A Survey on Vision-Language-Action Models for Autonomous Driving","version":1},"reference_index":159,"source":"pdf_text","source_observed_at":"2026-08-06T21:31:04.891588Z"},"links":{"cited_paper":"/paper/2502.14917","citing_paper":"/paper/2506.24044"},"observation_digest":"sha256:30543967de67cd777ac6016feb2f714b38e9eb49be901718b00e2db5bf8b915e","observation_id":"05488b1e-e701-4211-bf31-ee99f3c3e86d","resolution":{"observed_at":"2026-08-06T21:31:04.891588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14917","last_updated":"2025-02-19T09:50:44Z","snapshot_observed_at":"2026-08-12T00:26:31.299959Z","submitted_at":"2025-02-19T09:50:44Z","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","version":1},"cited_work":{"arxiv_id":"2502.14917","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14917","snapshot_observed_at":"2026-07-02T15:07:04.030431Z","title":"Sce2drivex: A generalized mllm framework for scene-to-drive learn- ing,","venue":null,"work_id":"e8421539-fbdf-4cd8-a992-d1ae8de33efb","year":2025},"citing_paper":{"arxiv_id":"2511.01594","last_updated":"2026-04-07T16:40:59Z","snapshot_observed_at":"2026-07-06T22:34:48.431368Z","submitted_at":"2025-11-03T13:58:37Z","title":"MARS: Multi-Agent Robotic System with Multimodal Large Language Models for Assistive Intelligence","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-18T01:05:47.657235Z"},"links":{"cited_paper":"/paper/2502.14917","citing_paper":"/paper/2511.01594"},"observation_digest":"sha256:2a7f6da8047a898a314f1ef87fd67c8c167882d042c072a3d7d72b5d47bc7e05","observation_id":"b1217562-d526-4587-935d-c618f91100c8","resolution":{"observed_at":"2026-05-18T01:10:34.253654Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14917","last_updated":"2025-02-19T09:50:44Z","snapshot_observed_at":"2026-08-12T00:26:31.299959Z","submitted_at":"2025-02-19T09:50:44Z","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14917","snapshot_observed_at":"2026-08-04T06:07:10.218338Z","title":"Sce2drivex: A generalized mllm framework for scene-to-drive learning.arXiv preprint arXiv:2502.14917,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.10719","last_updated":"2026-08-01T13:11:04Z","snapshot_observed_at":"2026-08-12T12:27:34.087622Z","submitted_at":"2026-02-11T10:25:05Z","title":"From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T06:07:10.218338Z"},"links":{"cited_paper":"/paper/2502.14917","citing_paper":"/paper/2602.10719"},"observation_digest":"sha256:7f3ec481bf654e1a92f064e19358d77cebec7fdee7e72d00d3839e66c31103fa","observation_id":"f99483ac-4145-48d8-81c4-5621eb0c1358","resolution":{"observed_at":"2026-08-04T06:07:10.218338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14917","last_updated":"2025-02-19T09:50:44Z","snapshot_observed_at":"2026-08-12T00:26:31.299959Z","submitted_at":"2025-02-19T09:50:44Z","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","version":1},"cited_work":{"arxiv_id":"2502.14917","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14917","snapshot_observed_at":"2026-07-02T15:07:04.030431Z","title":"Sce2drivex: A generalized mllm framework for scene-to-drive learn- ing,","venue":null,"work_id":"e8421539-fbdf-4cd8-a992-d1ae8de33efb","year":2025},"citing_paper":{"arxiv_id":"2607.00399","last_updated":"2026-07-01T03:50:45Z","snapshot_observed_at":"2026-08-04T06:35:09.194548Z","submitted_at":"2026-07-01T03:50:45Z","title":"DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-02T14:59:35.226245Z"},"links":{"cited_paper":"/paper/2502.14917","citing_paper":"/paper/2607.00399"},"observation_digest":"sha256:2e1d9e07499222eeb12d4ef16fd5acdb53304ef21ccfdfe985a487bbcab7a89f","observation_id":"2d31ac2c-77cc-4512-a873-6f6708c11b0a","resolution":{"observed_at":"2026-07-02T15:07:04.031838Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14917","last_updated":"2025-02-19T09:50:44Z","snapshot_observed_at":"2026-08-12T00:26:31.299959Z","submitted_at":"2025-02-19T09:50:44Z","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14917","snapshot_observed_at":"2026-08-01T10:59:19.107920Z","title":"Sce2drivex: A generalized mllm framework for scene-to-drive learning.arXiv preprint arXiv:2502.14917, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.20057","last_updated":"2026-07-22T11:59:38Z","snapshot_observed_at":"2026-08-11T15:45:03.346275Z","submitted_at":"2026-07-22T11:59:38Z","title":"Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:19.107920Z"},"links":{"cited_paper":"/paper/2502.14917","citing_paper":"/paper/2607.20057"},"observation_digest":"sha256:0fed29ae653052220b6fe1b9d9f07bb6484b5cc23942e8bb22124b7849748908","observation_id":"d78af9dc-a587-4a64-bcd0-dea31c0459a2","resolution":{"observed_at":"2026-08-01T10:59:19.107920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14917","last_updated":"2025-02-19T09:50:44Z","snapshot_observed_at":"2026-08-12T00:26:31.299959Z","submitted_at":"2025-02-19T09:50:44Z","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14917","snapshot_observed_at":"2026-07-31T21:13:06.877301Z","title":"org/abs/2502.14917","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24199","last_updated":"2026-07-27T09:24:41Z","snapshot_observed_at":"2026-08-07T18:43:26.314228Z","submitted_at":"2026-07-27T09:24:41Z","title":"Reasoning to Regulate: Chain-of-Thought for Traffic Rule Understanding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-31T21:13:06.877301Z"},"links":{"cited_paper":"/paper/2502.14917","citing_paper":"/paper/2607.24199"},"observation_digest":"sha256:2e0328aee68aeb1a5b2fc397e6a8837dcff50c78a5a76925961535ad57483712","observation_id":"e3c32119-3bfd-43a3-a976-fbabd962e99f","resolution":{"observed_at":"2026-07-31T21:13:06.877301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.14917/citation-record","integrity":"/paper/2502.14917/integrity","json":"/paper/2502.14917/citation-record.json","paper":"/paper/2502.14917"},"outbound":[],"paper":{"arxiv_id":"2502.14917","last_updated":"2025-02-19T09:50:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T00:26:31.299959Z","submitted_at":"2025-02-19T09:50:44Z","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.14917."}