Paper Citation Record · LEDGER

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model

As of 5 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 8 inbound Pith citation observations for arXiv:2604.19710.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.19710 v1

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:34:29.624029Z

measured 94 of 94 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:54:29.399091Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-02T17:47:17.865392Z

Reference resolution

86 of 86 outbound references displayed

verified exact10
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch48

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 789398ea-4407-4e81-b4ef-b317ddef3e01 · outbound

This paper cites In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vi- sion (WACV).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vi- sion (WACV)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.179614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cbc4f6c3-e733-471c-b152-eaf38b648d3a · outbound

This paper cites Qwen2.5-VL Technical Report.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Qwen2.5-VL Technical Report

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:10.738850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e479331-ffba-4eae-b931-d325871d7b6c · outbound

This paper cites Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval-augmented reasoning via llm.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval-augmented reasoning via llm

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.706956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc8a0520-4cbb-4e4f-b344-aa984dbeda0f · outbound

This paper cites Pseudo-simulation for autonomous driving.arXiv preprint arXiv:2506.04218.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Pseudo-simulation for autonomous driving.arXiv preprint arXiv:2506.04218

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:10.729379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5a8e84ed-0384-4fd7-b32c-508873b52ff5 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Ma- chine Intelligence (2024).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model IEEE Transactions on Pattern Analysis and Ma- chine Intelligence (2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.175827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f49c1443-1bfa-44ae-9213-0bee36b0c78f · outbound

This paper cites IEEE trans- actions on pattern analysis and machine intelligence45(11), 12878–12895 (2022).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model IEEE trans- actions on pattern analysis and machine intelligence45(11), 12878–12895 (2022)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.183332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 289b8899-96da-47e1-993d-7c00852d117b · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:10.751419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89ee3a02-d762-4f89-937a-37a5998987dd · outbound

This paper cites an unresolved cited work.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-22T20:47:07.171782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cbba3a54-e677-4402-a559-7451aed0083c · outbound

This paper cites DriveFine : Refining-augmented masked diffusion VLA for precise and robust driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model DriveFine : Refining-augmented masked diffusion VLA for precise and robust driving

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.721678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2321aac8-52af-4aa9-98f0-2e7122084dc9 · outbound

This paper cites Advances in Neural Information Processing Systems37, 28706–28719 (2024).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Advances in Neural Information Processing Systems37, 28706–28719 (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.160633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4acb4a9f-d201-4976-acea-c20c85512471 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.167972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 856126b4-5cd5-4b6c-831a-772b071ec61d · outbound

This paper cites CoReVLA: A dual-stage end-to-end autonomous driving framework for long-tail scenarios via collect-and-refine.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model CoReVLA: A dual-stage end-to-end autonomous driving framework for long-tail scenarios via collect-and-refine

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.958930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cec85f50-4106-4d0c-b030-38b9e84652fa · outbound

This paper cites Rap: 3d rasterization augmented end-to-end planning.arXiv preprint arXiv:2510.04333.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Rap: 3d rasterization augmented end-to-end planning.arXiv preprint arXiv:2510.04333

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:10.764247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a475b150-a1c0-4450-9233-eedcab4fb1c7 · outbound

This paper cites IEEE Robotics and Automation Letters11(1), 226–233 (2025) 16 Z.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model IEEE Robotics and Automation Letters11(1), 226–233 (2025) 16 Z

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.144822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 80e69c95-99c8-4587-aca5-8e8d33e6c619 · outbound

This paper cites ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T08:10:39.718006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ec26a4d-135b-46f5-9b0d-9f0d725407cd · outbound

This paper cites MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-20T02:18:22.862599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 116077ee-3c71-4342-a926-c29d0e82146b · outbound

This paper cites In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.152501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4bfe1ae-3561-4969-a465-2a9a2764651d · outbound

This paper cites an unresolved cited work.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-22T20:47:07.136569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 922be08b-97a7-4738-ae7a-3dbc7e45a22a · outbound

This paper cites an unresolved cited work.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-22T20:47:07.129638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fd476fc0-c472-463d-b185-cb2ef6da8760 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:11.039336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 54179dc3-eb96-42bf-bd46-b452ecb0cd54 · outbound

This paper cites ICLR1(2), 3 (2022).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model ICLR1(2), 3 (2022)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.133164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c063b8f-0f0c-47d6-ac6e-0605a35f6635 · outbound

This paper cites Vision-language-action models for autonomous driving: Past, present, and future.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Vision-language-action models for autonomous driving: Past, present, and future

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.091572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aff97c9c-ede8-4070-9933-7d1546fe5ef9 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.156454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd8ff382-551f-42cd-bf22-a676d4f38691 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:08:55.028561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d2ef1d48-631d-4ff8-8db6-427455325208 · outbound

This paper cites $\pi^{*}_{0.6}$: a VLA That Learns From Experience.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.899312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3dacb700-c033-451c-88f5-d16226ba78c6 · outbound

This paper cites OpenAI o1 System Card.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model OpenAI o1 System Card

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:11.197451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ff2626a3-d474-4991-949a-bc70e9459721 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.122395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9083110d-fff3-4749-be24-c6e6aa644eb3 · outbound

This paper cites Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:10.713483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 906c2d25-f002-4967-b119-fad978051e4b · outbound

This paper cites IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.808364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 73b032d2-7d4c-4969-a84b-a67c75d77e4a · outbound

This paper cites Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:24:24.181007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 25bcf15e-6a75-444d-bbc8-3543e8bc65e9 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.164488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 67439781-50b9-4660-9c6a-72229284d062 · outbound

This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:06:27.342141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 243b9d87-8b36-4e60-b3b1-226a4ad1dd17 · outbound

This paper cites In: 2024 IEEE International Conference on Robotics and Automation (ICRA).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: 2024 IEEE International Conference on Robotics and Automation (ICRA)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.105040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b119b163-23b1-4cea-8451-0ffdeb22476c · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-11T12:56:10.790534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aadd2585-2afb-465e-a3b2-74be790aba1d · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model OpenVLA: An Open-Source Vision-Language-Action Model

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:10.984545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b0934dcd-c868-4358-8fe9-710d6489fcb8 · outbound

This paper cites Driving on registers.arXiv preprint arXiv:2601.05083.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Driving on registers.arXiv preprint arXiv:2601.05083

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:10.779476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 402fcf9d-1d7a-406a-966a-aff245fb90c7 · outbound

This paper cites IEEE Robotics and Automation Letters11(1), 818–825 (2025).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model IEEE Robotics and Automation Letters11(1), 818–825 (2025)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.109089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 67ce3d4b-f8fc-4da2-8b08-97242304ce2a · outbound

This paper cites Finetuning generative trajectory model with reinforcement learning from human feedback.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Finetuning generative trajectory model with reinforcement learning from human feedback

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.063948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cef67672-b465-45d0-a2a1-0c2cd5aa5587 · outbound

This paper cites DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T06:48:01.146010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 994b2fa1-d4f3-4bea-b29c-15121cabefd4 · outbound

This paper cites an unresolved cited work.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-22T20:47:07.118301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ac3b8d6-ae16-48d9-aca3-c305fb4cf60d · outbound

This paper cites ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

Reference 41

Resolution: metadata mismatch; 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 2026-08-05T06:32:48.257954+00:00.

Observation e9a16a66-9161-443f-8d86-999c15aa24b6 · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T23:13:55.802367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3ac94b84-a80e-4539-baec-6773ea47e4ce · outbound

This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.005780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f7cfea96-37af-4f31-b990-76a538b6951a · outbound

This paper cites CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.864714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2a7f40bc-d70f-4d48-a88e-0ad264187f7a · outbound

This paper cites Flow Matching for Generative Modeling.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Flow Matching for Generative Modeling

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:11.115086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e7c9fae6-6369-47d5-848f-0b27ee2f4d2f · outbound

This paper cites IEEE Robotics and Automation Letters11(2), 1738–1745 (2025).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model IEEE Robotics and Automation Letters11(2), 1738–1745 (2025)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.113128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 12e3d1ff-5f74-4d25-b0e0-c1c8742dffb8 · outbound

This paper cites Driveworld-vla: Unified latent-space world modeling with vision-language-action for au- tonomous driving.ArXiv, abs/2602.06521.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Driveworld-vla: Unified latent-space world modeling with vision-language-action for au- tonomous driving.ArXiv, abs/2602.06521

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.161045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3d207bd-1ca4-4b4a-a881-ab9a7b62cc5a · outbound

This paper cites CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:10.907671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d44220b4-38c2-4da7-b318-8f7e100feedb · outbound

This paper cites arXiv preprint arXiv:2510.00154 (2025).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model arXiv preprint arXiv:2510.00154 (2025)

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:10.848353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5e02696-7de5-472e-b78b-822b89ce4d87 · outbound

This paper cites an unresolved cited work.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-05-22T20:47:07.097758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b28be657-c50a-4c2c-b846-b9b1334f1884 · outbound

This paper cites GPT-Driver: Learning to Drive with GPT.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model GPT-Driver: Learning to Drive with GPT

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:05:32.082062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c6c723d-5219-4c1d-b985-81b3fc001b13 · outbound

This paper cites an unresolved cited work.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-05-22T20:47:07.101818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e77d69b-2e51-484c-b826-7730e603d26e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.089684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 911d829a-d7de-4a33-a7f6-5cdc442c59c9 · outbound

This paper cites NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.915896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 734970c3-7ecc-4b3b-8b3e-5930f1714247 · outbound

This paper cites Counterfactual vla: Self-reflective vision-language-action model with adaptive reasoning.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Counterfactual vla: Self-reflective vision-language-action model with adaptive reasoning

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.190366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d295fb3d-1215-4a3f-a2c1-a23f59236b56 · outbound

This paper cites In: Pro- ceedings of the AAAI Conference on Artificial Intelligence.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: Pro- ceedings of the AAAI Conference on Artificial Intelligence

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.126040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18cf2ffe-5d59-45b9-bdad-8382cf1b637e · outbound

This paper cites Advances in Neural Information Processing Systems36, 53728–53741 (2023).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Advances in Neural Information Processing Systems36, 53728–53741 (2023)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.094106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5efc8c15-2d00-44ba-8f16-df24253f203d · outbound

This paper cites NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-06-09T02:05:24.494922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8ac09f2-fafa-4cf2-b364-655a0e44dafb · outbound

This paper cites Poutine: Vision-language-trajectory pre-training and reinforcement learning post-training enable robust end-to-end autonomous driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Poutine: Vision-language-trajectory pre-training and reinforcement learning post-training enable robust end-to-end autonomous driving

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.021377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 930a61e7-1b1a-47b2-9c55-253b3e8f96ff · outbound

This paper cites Drivedpo: Policy learning via safety dpo for end-to-end autonomous driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Drivedpo: Policy learning via safety dpo for end-to-end autonomous driving

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.946744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ea6011a-9580-4077-bd54-9b65ca4d06b8 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 61

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:11.032544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b9ac469b-d464-420d-9c82-87cb1c65c138 · outbound

This paper cites In: European Conference on Computer Vision.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: European Conference on Computer Vision

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.148635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2ca4ee44-680b-4b1b-b209-8ba7bc973848 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.140609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 397e8714-1c2c-403a-92e9-e0a47aca483a · outbound

This paper cites Latent Chain-of-Thought World Modeling for End-to-End Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Latent Chain-of-Thought World Modeling for End-to-End Driving

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:11.168497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 46bccbfa-dead-4420-ad64-d4e9140fd750 · outbound

This paper cites arXiv preprint arXiv:2510.11083 (2025).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model arXiv preprint arXiv:2510.11083 (2025)

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:11.288310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f4225296-d5dd-4f1b-80c9-917db4c7c6a4 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T19:22:35.820214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a149a689-1aa9-4f62-9159-2f6e36b7fadf · outbound

This paper cites Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.106795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bfa2d2b0-f6b4-44b8-b279-3558c244c9cb · outbound

This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.966885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ad12b233-e5e3-4877-9739-c8cc44b57026 · outbound

This paper cites Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail

Reference 69

Resolution: metadata mismatch; 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 2026-08-05T06:32:48.257954+00:00.

Observation b0a7956f-96fb-43da-9c6c-6c3efdaced85 · outbound

This paper cites Vla-adapter: An effective paradigm 10 for tiny-scale vision-language-action model.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Vla-adapter: An effective paradigm 10 for tiny-scale vision-language-action model

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.361358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 92a82417-efa6-4e06-8e02-9a7fdf6d3632 · outbound

This paper cites Latentvla: Efficient vision-language models for autonomous driving via latent action prediction.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Latentvla: Efficient vision-language models for autonomous driving via latent action prediction

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.097603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 47ec9c99-1e16-44d9-b7ac-0a255e4be840 · outbound

This paper cites In: Proceed- ings of the Winter Conference on Applications of Computer Vision.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: Proceed- ings of the Winter Conference on Applications of Computer Vision

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.085879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3ce2027-81cf-4301-990d-2fea4c23e3e7 · outbound

This paper cites Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:10.858255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8d6b859-adbf-420a-867f-45858349138a · outbound

This paper cites VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.153361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ec1ea336-e583-40ee-8be8-7585446c0117 · outbound

This paper cites Drivesuprim: Towards precise trajectory selection for end-to-end planning.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Drivesuprim: Towards precise trajectory selection for end-to-end planning

Reference 75

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.999420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a134ea83-0c2b-4736-953e-2f6542913f65 · outbound

This paper cites arXiv preprint arXiv:2510.24795 (2025).

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model arXiv preprint arXiv:2510.24795 (2025)

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:11.057291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a3acc55-cd9b-4139-9212-7ddade05540e · outbound

This paper cites DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba

Reference 77

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.977796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 43f42b3c-74a1-45b1-8d97-5614c1188767 · outbound

This paper cites FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:19:43.280111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a85a730a-fd9f-4ac4-a119-6fec83122ead · outbound

This paper cites MindDriver: Introducing progressive multimodal reasoning for autonomous driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model MindDriver: Introducing progressive multimodal reasoning for autonomous driving

Reference 79

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.177945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a1329af0-46e8-4135-8e8c-edd6fa9eda46 · outbound

This paper cites BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving

Reference 80

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T12:56:11.074634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e0d2726-03ad-4906-8718-399a6d3b0dd8 · outbound

This paper cites Opendrivevla: Towards end-to-end au- tonomous driving with large vision language action model.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Opendrivevla: Towards end-to-end au- tonomous driving with large vision language action model

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.216355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 05f19485-0318-47ca-ab14-8f962ce62610 · outbound

This paper cites AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

Reference 82

Resolution: metadata mismatch; 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 2026-08-05T06:32:48.257954+00:00.

Observation e812c12a-e386-493e-ae40-b47bc47c2131 · outbound

This paper cites V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:11.390402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4374d39a-230d-4b72-8ea4-f71c7c001518 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.078586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 36c630fb-b576-4419-bad0-885883c974ec · outbound

This paper cites re- gions important for driving.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model re- gions important for driving

Reference 85

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:10.937138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0cacf345-c3ff-4e02-86a9-03f4ce68cdc4 · outbound

This paper cites straight.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model straight

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T20:47:07.081988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 0c579be4-6cff-491e-8117-1933288d9e8d · inbound

DriveFuture: Future-Aware Latent World Models for Autonomous Driving cites this paper.

DriveFuture: Future-Aware Latent World Models for Autonomous Driving SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model

Reference 59

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T03:01:17.924954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bc8e20cc-cea2-438f-9e1c-7a88f9235c20 · inbound

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems cites this paper.

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:51:27.467727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18c8c3cc-ad33-47e7-bb70-0d1551ae8292 · inbound

SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving cites this paper.

SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:23:21.578496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0f6cf288-19ef-4041-83e2-750958b6d929 · inbound

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models cites this paper.

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-25T04:40:23.805146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e86d1a60-ec57-4be8-b664-53c0368ac863 · inbound

nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving cites this paper.

nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model

Reference 86

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T19:26:00.329145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de44b9ce-2320-4e50-8bc8-7c836f09cd74 · inbound

Test-Time Trajectory Optimization for Autonomous Driving cites this paper.

Test-Time Trajectory Optimization for Autonomous Driving SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:47:17.866802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd774d08-b97c-4ca7-be25-d7c0e2c6d6e2 · inbound

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving cites this paper.

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T06:54:21.281852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4d1f125-0986-4924-9361-f61d324d2a19 · inbound

LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving cites this paper.

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T06:55:28.890652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.