Paper Citation Record · LEDGER

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 19 inbound Pith citation observations for arXiv:2508.06571.

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

pith.paper-citation-record.v1
2508.06571 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:41:31.838029Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:31:52.520769Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:36:59.779636Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy12
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19a43edb-9e70-49d0-8bd3-e205ac0bd3a0 · outbound

This paper cites GPT-4 Technical Report.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.725595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b426f7-a4dc-4022-a6de-0d63445c8c70 · outbound

This paper cites Training diffusion models with reinforcement learning, 2024.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Training diffusion models with reinforcement learning, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.349252Z

Source-reported events for the cited work

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Observation 10117937-04c5-4fdc-a9e3-327b56b8ff8a · outbound

This paper cites Pseudo- simulation for autonomous driving.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Pseudo- simulation for autonomous driving

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.736375Z

Source-reported events for the cited work

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Observation 12831453-a6e2-4209-8fce-de07c480d253 · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for au- tonomous driving.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Transfuser: Imitation with transformer-based sensor fusion for au- tonomous driving

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.339969Z

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Observation 1c3578b4-b05c-4f19-97c9-5a75c2cb28ba · outbound

This paper cites Parting with misconceptions about learning-based vehicle motion planning.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Parting with misconceptions about learning-based vehicle motion planning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.330769Z

Source-reported events for the cited work

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Observation e3db77b6-c139-4555-9b31-0fb3986738a0 · outbound

This paper cites Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.321930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6bc197cc-12e3-47c6-bc39-60c10520e2c1 · outbound

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

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.751498Z

Source-reported events for the cited work

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Observation be38b2d6-bcb0-4ed9-94cd-b5159061e992 · outbound

This paper cites Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.755666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f5bac0-284e-4315-9f00-8a476dcdee68 · outbound

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

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.759015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb25938f-71dc-4de2-8767-58b5d5feba6a · outbound

This paper cites Planning-oriented autonomous driving.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Planning-oriented autonomous driving

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.312110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a9efb1e-292e-48fb-8693-635745dd3494 · outbound

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

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.766176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9227cc0-15a1-4ff1-b4f9-4abff732a5c1 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Planning with Diffusion for Flexible Behavior Synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.769794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 539c03c9-b0de-49b4-acd6-2035043bae97 · outbound

This paper cites DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.774080Z

Source-reported events for the cited work

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Observation 213b3c2c-5e5c-4467-bafe-94ad9546f0c9 · outbound

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

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.777980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff95cbe-0d21-43ac-b262-001535e5e840 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Vad: Vectorized scene representation for efficient autonomous driving

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.303150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 230a0b04-8927-41b3-9e69-ca7de315e0e4 · outbound

This paper cites End-to-End Driving with Online Trajectory Evaluation via BEV World Model.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.785006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d1c1f7-27d1-4edd-ae28-ea730f060092 · outbound

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

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.788746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc7543c-7e1d-4d01-898f-e197281976e8 · outbound

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

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.792633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71701eec-44e2-461e-9382-3e4e5b9274f0 · outbound

This paper cites Generalized Trajectory Scoring for End-to-end Multimodal Planning.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Generalized Trajectory Scoring for End-to-end Multimodal Planning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.796375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be68a7b-7bbd-49c4-9637-7eca3de7b726 · outbound

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

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.799889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46338617-f4df-429c-b157-1ed26c088973 · outbound

This paper cites Diffusiondrive: Trun- cated diffusion model for end-to-end autonomous driv- ing.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Diffusiondrive: Trun- cated diffusion model for end-to-end autonomous driv- ing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.293240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c3cab5c8-2364-4ba4-b226-026b9df6c532 · outbound

This paper cites Diffusion Policy Policy Optimization.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Diffusion Policy Policy Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.807052Z

Source-reported events for the cited work

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Observation a7fe2bb6-be6c-4f05-bd13-76e76d5c13a4 · outbound

This paper cites Simlingo: Vision-only closed-loop au- tonomous driving with language-action alignment.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Simlingo: Vision-only closed-loop au- tonomous driving with language-action alignment

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.283875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd531091-cd19-4492-8439-a8e50e69d93c · outbound

This paper cites High-dimensional continuous control using generalized advantage estima- tion, 2018.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model High-dimensional continuous control using generalized advantage estima- tion, 2018

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.274253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39ef19ad-c823-45e8-a107-2e31eae148bc · outbound

This paper cites an unresolved cited work.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.817547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bfb75c9-dc1a-4684-9f11-68baacb63df7 · outbound

This paper cites SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.820894Z

Source-reported events for the cited work

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Observation be67406b-29b3-46b7-8ea6-1bf9730e4512 · outbound

This paper cites Diffsemanticfusion: Semantic raster bev fusion for autonomous driving via online hd map diffusion, 2025.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Diffsemanticfusion: Semantic raster bev fusion for autonomous driving via online hd map diffusion, 2025

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.256924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 64093467-0a56-4ce8-aa72-b159878d7a16 · outbound

This paper cites Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.827833Z

Source-reported events for the cited work

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Observation 6a08dcfb-c46b-421c-951d-930a25083ecc · outbound

This paper cites Carplanner: Consistent auto-regressive trajectory plan- ning for large-scale reinforcement learning in au- tonomous driving.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Carplanner: Consistent auto-regressive trajectory plan- ning for large-scale reinforcement learning in au- tonomous driving

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.246657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 915dc76c-a89d-4f05-af92-afa619e7bb84 · outbound

This paper cites Accelerating reinforcement learning for autonomous driving using task-agnostic and ego- centric motion skills.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Accelerating reinforcement learning for autonomous driving using task-agnostic and ego- centric motion skills

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:41:32.236597Z

Source-reported events for the cited work

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Observation 02553d1d-7218-4414-8240-7aa7760f6556 · outbound

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

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Opendrivevla: Towards end-to-end autonomous driving with large vision language action model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T23:41:31.838029Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4848bd7e-6216-41b8-aad0-b6e52484b1f2 · inbound

A Survey of World Models for Autonomous Driving cites this paper.

A Survey of World Models for Autonomous Driving IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:52.520769Z

Source-reported events for the cited work

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Observation 0bf917a1-ce2c-4b1c-9be6-5d5b4f46a41b · inbound

World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training cites this paper.

World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:51:23.519299Z

Source-reported events for the cited work

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Observation b8797e64-ab29-46c2-9fbb-9996a361131f · inbound

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

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:35:13.275712Z

Source-reported events for the cited work

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Observation b1fde534-10ca-400a-bfb6-388f62c45197 · inbound

AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention cites this paper.

AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:29:09.833895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bba8b92a-e0e6-496f-b302-b97ab1d846c4 · inbound

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

Latent Chain-of-Thought World Modeling for End-to-End Driving IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:18:39.859691Z

Source-reported events for the cited work

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Observation 78427e88-2f27-4152-ac07-e3e37463355d · inbound

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

MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 24

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Source-reported events for the cited work

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Observation cc3c1ee7-953f-4aaa-a642-ed20e715d474 · inbound

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap cites this paper.

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 169

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.734642Z

Source-reported events for the cited work

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Observation 726b3100-d940-45dd-bc8e-612e43ff0621 · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:12:26.263488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

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

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

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Observation 6140c01f-3951-42f6-806c-f72b4e4d7bb9 · inbound

Latency Analysis and Optimization of Alpamayo 1 via Efficient Trajectory Generation cites this paper.

Latency Analysis and Optimization of Alpamayo 1 via Efficient Trajectory Generation IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:50.857406Z

Source-reported events for the cited work

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Observation a9519e4e-7fde-4811-a07e-b7089c25c52e · inbound

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving cites this paper.

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:49:35.792564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b49abf41-3de4-495c-973f-050d5cf5a7f8 · inbound

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving cites this paper.

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:55:24.815699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e8534ad-08b3-4702-9e8b-cbba6dfdff07 · inbound

NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving cites this paper.

NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.926168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b00599c5-6f3f-430f-bbc2-6a4f40027e71 · inbound

IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving cites this paper.

IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:36:08.476569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ceaf1399-6b15-4a6f-9991-67721a9a07c6 · inbound

World Models for Robotic Manipulation: A Survey cites this paper.

World Models for Robotic Manipulation: A Survey IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 106

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:33:25.078010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 860069f4-8aa2-41d2-9a69-2b774bdb3957 · inbound

Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning cites this paper.

Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:57.089281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 673c745e-6bdb-452c-9c15-9afbabf66cdb · inbound

World Engine: Towards the Era of Post-Training for Autonomous Driving cites this paper.

World Engine: Towards the Era of Post-Training for Autonomous Driving IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:59:33.870818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a592479-c7e2-440b-bb5b-c89a8e3a29bf · inbound

Post-Training in End-to-End Autonomous Driving cites this paper.

Post-Training in End-to-End Autonomous Driving IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T00:46:40.298575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29aca45e-edf5-4daa-8fdf-06915c8773ba · inbound

WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving cites this paper.

WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T08:36:59.781035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.