{"as_of":"2026-08-13T14:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca7fcca12d6a891f4a89eacb7e0d450466308300dd21b179f158f29b987c1eeb","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:02:59.475959Z","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":"2026-07-03T16:48:39.609342Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-08-07T14:02:59.475959Z","title":"Lightemma: Lightweight end-to-end multimodal model for autonomous driving,","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":98,"source":"pdf_text","source_observed_at":"2026-08-07T14:02:59.475959Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2505.20223"},"observation_digest":"sha256:704f15ee10462b051e8db381210794645a7bdf8fc87d1adac3340c3eb783ae7f","observation_id":"054ed74c-2592-442b-a7a7-93def5e3ff10","resolution":{"observed_at":"2026-08-07T14:02:59.475959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-08-07T12:43:56.629156Z","title":"Lightemma: Lightweight end-to-end multimodal model for autonomous driving.arXiv preprint arXiv:2505.00284, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23757","last_updated":"2025-05-29T17:59:46Z","snapshot_observed_at":"2026-08-07T14:05:09.038917Z","submitted_at":"2025-05-29T17:59:46Z","title":"Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T12:43:56.629156Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2505.23757"},"observation_digest":"sha256:e24c413c4f0f1584038b0a779ba90a5aed934c838b2cb67d234935d18feb7231","observation_id":"b99bcb2a-0662-426e-b7c8-9dccab1880b7","resolution":{"observed_at":"2026-08-07T12:43:56.629156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2505.00284","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-07-03T16:48:39.609342Z","title":"Lightemma: Lightweight end-to-end multimodal model for autonomous driving.arXiv preprint arXiv:2505.00284","venue":null,"work_id":"572e691e-86b3-41bf-861d-76b2434e1070","year":2025},"citing_paper":{"arxiv_id":"2507.17596","last_updated":"2026-04-12T09:38:18Z","snapshot_observed_at":"2026-08-10T21:57:05.521393Z","submitted_at":"2025-07-23T15:28:23Z","title":"PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-19T02:53:09.830659Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2507.17596"},"observation_digest":"sha256:94bd0e58476ef892cc5ad55965ba77281380906f1edc320ee4519d2288548984","observation_id":"887eb678-91f1-416d-b3fb-c2e3adfdfd78","resolution":{"observed_at":"2026-05-19T02:57:00.728859Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2505.00284","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-07-03T16:48:39.609342Z","title":"Lightemma: Lightweight end-to-end multimodal model for autonomous driving.arXiv preprint arXiv:2505.00284","venue":null,"work_id":"572e691e-86b3-41bf-861d-76b2434e1070","year":2025},"citing_paper":{"arxiv_id":"2604.21249","last_updated":"2026-04-23T03:26:42Z","snapshot_observed_at":"2026-08-11T01:44:10.519866Z","submitted_at":"2026-04-23T03:26:42Z","title":"Reasoning About Traversability: Language-Guided Off-Road 3D Trajectory Planning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-09T22:03:57.993736Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2604.21249"},"observation_digest":"sha256:1903f22d778e36776dcfb8d79ad4e6bbf55d244c6a9a190c7d8b737bf76bb202","observation_id":"3d23d66a-e196-4175-bb50-ff22874425c5","resolution":{"observed_at":"2026-05-11T14:21:04.192359Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2505.00284","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-07-03T16:48:39.609342Z","title":"Lightemma: Lightweight end-to-end multimodal model for autonomous driving.arXiv preprint arXiv:2505.00284","venue":null,"work_id":"572e691e-86b3-41bf-861d-76b2434e1070","year":2025},"citing_paper":{"arxiv_id":"2605.23163","last_updated":"2026-05-25T07:32:46Z","snapshot_observed_at":"2026-08-12T23:58:45.349372Z","submitted_at":"2026-05-22T02:31:32Z","title":"Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T05:00:58.024124Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2605.23163"},"observation_digest":"sha256:a262ef5ae6fe21ce9a85cae20c4a03d5157c6a7f1c1978e0ab6db9e6e3015014","observation_id":"8ae3cb04-f9c6-4fe7-8153-27bcc288b06d","resolution":{"observed_at":"2026-05-25T05:06:38.516490Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2505.00284","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-07-03T16:48:39.609342Z","title":"Lightemma: Lightweight end-to-end multimodal model for autonomous driving.arXiv preprint arXiv:2505.00284","venue":null,"work_id":"572e691e-86b3-41bf-861d-76b2434e1070","year":2025},"citing_paper":{"arxiv_id":"2605.23163","last_updated":"2026-05-25T07:32:46Z","snapshot_observed_at":"2026-08-12T23:58:45.349372Z","submitted_at":"2026-05-22T02:31:32Z","title":"Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T16:34:21.422620Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2605.23163"},"observation_digest":"sha256:5de37790a12f0f2cdfdb52d2136b3b93b5a90395921df25b466e58006b0b730a","observation_id":"25bd37c1-a6d1-45c4-a5df-6e735decffb7","resolution":{"observed_at":"2026-06-30T16:35:12.312198Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2505.00284","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-07-03T16:48:39.609342Z","title":"Lightemma: Lightweight end-to-end multimodal model for autonomous driving.arXiv preprint arXiv:2505.00284","venue":null,"work_id":"572e691e-86b3-41bf-861d-76b2434e1070","year":2025},"citing_paper":{"arxiv_id":"2607.01658","last_updated":"2026-07-02T03:34:32Z","snapshot_observed_at":"2026-08-11T08:51:15.758036Z","submitted_at":"2026-07-02T03:34:32Z","title":"Teaching Vision-Language-Action Models What to See and Where to Look","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-03T16:42:13.520913Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2607.01658"},"observation_digest":"sha256:195d08b3fce16747419243ba465b5dd9bf3c562b3b69443ad2fed48762414d6a","observation_id":"265cfc24-1495-421f-8ccf-4c60729672ef","resolution":{"observed_at":"2026-07-03T16:48:39.610691Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-08-01T17:07:49.624191Z","title":"Lightemma: Lightweight end-to-end multimodal model for autonomous driving,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17767","last_updated":"2026-07-20T10:01:20Z","snapshot_observed_at":"2026-08-13T08:08:55.408505Z","submitted_at":"2026-07-20T10:01:20Z","title":"VLN-AVP: Zero-Shot Vision-Language Navigation with Hybrid Long-Short-Term Memory for Autonomous Valet Parking","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T17:07:49.624191Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2607.17767"},"observation_digest":"sha256:956be578d579e362457bcd393f177a178d199b14e3d8fbc7cbdd821f05e7211b","observation_id":"f36ea954-abc7-4ab4-8360-e7bcc7dd07a1","resolution":{"observed_at":"2026-08-01T17:07:49.624191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-08-02T08:07:08.168209Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.168209Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:090bbc4e69a2510eebecc8d7b7f9c78504f9bd13c773e50d403b5a3d610d4623","observation_id":"a3016466-9920-426b-8ac9-a75ec039bb2d","resolution":{"observed_at":"2026-08-02T08:07:08.168209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.00284/citation-record","integrity":"/paper/2505.00284/integrity","json":"/paper/2505.00284/citation-record.json","paper":"/paper/2505.00284"},"outbound":[],"paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2505.00284."}