Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T12:37:17.646552Z
Paper Citation Record · LEDGER
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset
As of 4 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2604.22260.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-09T20:11:02.051543Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T20:16:29.476620Z
Reference resolution
16 of 16 outbound references displayed
- verified exact15
- verified fuzzy1
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8163b6ea-b56b-444b-9e33-4eaf9dcc8587 · outbound
This paper cites 1 Mohamed Elassy, Mohammed Al-Hattab, Maen Takruri, and Sufian Badawi.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset 1 Mohamed Elassy, Mohammed Al-Hattab, Maen Takruri, and Sufian Badawi
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T21:34:16.359384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 12a8626d-6c30-4333-b444-d11c772e6fee · outbound
This paper cites doi:https://doi.org/10.1016/j.treng.2024.100252.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset doi:https://doi.org/10.1016/j.treng.2024.100252
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T21:34:16.371062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fa59d216-d96b-464a-bf43-989fb4fb21fd · outbound
This paper cites doi:10.3390/s22207861.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset doi:10.3390/s22207861
Reference 3
- Resolution
- verified exact
- doi, observed 2026-05-08T21:34:16.353246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2610e8d3-8c58-4b8d-a0e6-be013b6bc949 · outbound
This paper cites Openread: Reinforced open-ended reasoning for end-to-end autonomous driving with llm-as-critic.arXiv preprint arXiv:2512.01830.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset Openread: Reinforced open-ended reasoning for end-to-end autonomous driving with llm-as-critic.arXiv preprint arXiv:2512.01830
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:06:11.163079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fd0f7f4b-61bf-422c-8c3e-cf4230979b7b · outbound
This paper cites Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T02:35:13.510586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation de5a29e1-cf29-43cf-b8c4-359fe97df4ed · outbound
This paper cites Gpt-driver: Learning to drive with gpt.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset Gpt-driver: Learning to drive with gpt
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:12:23.476744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 61a9744a-d148-4bb7-9016-03dea96db96a · outbound
This paper cites AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:46:44.401546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 34e3ca1a-6f95-474f-958a-b532c8577caf · outbound
This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:06:11.147234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ea2eba7c-9bcd-4442-b903-d76aadb9e573 · outbound
This paper cites RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:06:11.151993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36c03653-965c-4a89-a906-a25b01c5ca4a · outbound
This paper cites Traffic-Domain Video Question Answering with Automatic Captioning.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset Traffic-Domain Video Question Answering with Automatic Captioning
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:06:11.157911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c632a77-76f9-4485-87bc-7dedec688474 · outbound
This paper cites TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:06:11.224242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e4f6f1e1-92e1-44be-a264-1bcec0cf7f75 · outbound
This paper cites Qwen2.5-VL Technical Report.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset Qwen2.5-VL Technical Report
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:06:11.218214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d5e6cdf6-8bf2-4cd1-b6e5-03b2702722d8 · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset LLaVA-OneVision: Easy Visual Task Transfer
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:06:11.231919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7779b53b-36ad-4293-b7f5-8eb64b3cf54c · outbound
This paper cites Qwen3-VL Technical Report.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset Qwen3-VL Technical Report
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:06:11.175285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 665c548c-f329-45b4-a727-abbe34529c3d · outbound
This paper cites WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:06:11.211754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 97cda9c0-41bf-4a8d-a0f2-8d69eccd8019 · outbound
This paper cites ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving.
Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T07:36:24.555133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation dda71600-07c4-46fe-8cc8-57b0c9bd90de · inbound
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving cites this paper.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T20:16:29.477932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.