Paper Citation Record · LEDGER

Improving Vision-Language-Action Model with Online Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2501.16664.

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

pith.paper-citation-record.v1
2501.16664 v1

Coverage vector

measured 0 of 0 reference resolution

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measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:11.693083Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:44.548397Z

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Outbound references

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Pith citing papers

Observation a4dcedf2-a314-48ff-a734-3fb524645888 · inbound

Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations cites this paper.

Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-12T18:38:11.188770Z

Source-reported events for the cited work

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Observation b0f97b08-27e5-4fcf-a420-409b0c1ef202 · inbound

DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control cites this paper.

DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:48:48.815167Z

Source-reported events for the cited work

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Observation 7108ed8c-d69a-4c54-b1fd-20506952726b · inbound

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning cites this paper.

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:55:40.499761Z

Source-reported events for the cited work

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Observation a27cf8f7-cea0-43b4-b7c8-1ec0799ea99a · inbound

RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback cites this paper.

RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 12

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Observation 7c594d43-1aa7-4147-8322-d05287c928d0 · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:21.447558Z

Source-reported events for the cited work

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Observation 65301ea4-71ca-451a-a691-056ceb3600ae · inbound

RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models cites this paper.

RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 18

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Observation 689c3033-cf16-4782-a3a7-eb31f2b0ae21 · inbound

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training cites this paper.

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 33

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Observation 2634ff7d-e50f-4d87-b330-b96d3689fa0c · inbound

Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach cites this paper.

Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 23

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Observation cd37d08d-cc3e-430e-9226-c59979728f02 · inbound

Leveraging OS-Level Primitives for Robotic Action Management cites this paper.

Leveraging OS-Level Primitives for Robotic Action Management Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 23

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Observation 35ba3196-ca77-4c1e-8e83-1549cb75e2ac · inbound

Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models cites this paper.

Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 16

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Observation 2725aca8-5c7c-48f3-8fbf-57cd903c3e8f · inbound

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization cites this paper.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 19

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Observation 0bfe0573-d8ee-4686-9445-2942dda656c4 · inbound

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning cites this paper.

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 41

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Source-reported events for the cited work

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Observation 1ab1b8f3-bc2c-4628-bbb2-d0007fb19793 · inbound

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models cites this paper.

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 7

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Observation 98b2c27e-2eaa-4d5d-bc6d-f8c540b37840 · inbound

Ctrl-World: A Controllable Generative World Model for Robot Manipulation cites this paper.

Ctrl-World: A Controllable Generative World Model for Robot Manipulation Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T01:14:10.368029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90b52234-e401-4d30-be29-95df048fed96 · inbound

Reflection-Based Task Adaptation for Self-Improving VLA cites this paper.

Reflection-Based Task Adaptation for Self-Improving VLA Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:31:02.913540Z

Source-reported events for the cited work

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Observation 96f1fb71-e18f-481e-972d-a1fafab88cf6 · inbound

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

$\pi^{*}_{0.6}$: a VLA That Learns From Experience Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:34:59.347237Z

Source-reported events for the cited work

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Observation 1ab87388-22a1-49df-b0e9-e41fa555e3f4 · inbound

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models cites this paper.

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 11

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Observation 50f1e294-9b47-479e-a108-da46695ada15 · inbound

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models cites this paper.

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 10

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Observation 58ea4866-2491-401c-8be1-2517f1eb356e · inbound

VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation cites this paper.

VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:00:25.994640Z

Source-reported events for the cited work

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Observation a8596dfc-c014-4905-aa7b-adc13a2adb55 · inbound

TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation cites this paper.

TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:14:10.897478Z

Source-reported events for the cited work

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Observation 0d17fbb1-bf9e-414c-b44b-a41290644b48 · inbound

Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning cites this paper.

Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:10:13.288701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 694260c5-fe28-4f0e-baf9-87fcd39c434c · inbound

PhySe-RPO: Physics and Semantics Guided Relative Policy Optimization for Diffusion-Based Surgical Smoke Removal cites this paper.

PhySe-RPO: Physics and Semantics Guided Relative Policy Optimization for Diffusion-Based Surgical Smoke Removal Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:23:26.867422Z

Source-reported events for the cited work

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Observation bbc803a6-8cfe-467b-9d40-981a1f8da0fa · inbound

Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation? cites this paper.

Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation? Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 16

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Source-reported events for the cited work

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Observation f1ace14f-8eea-428c-b697-830e5a049e2a · inbound

E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes cites this paper.

E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:00:48.347579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44d8d85a-3225-42b0-bb30-1eb410e04121 · inbound

Learn Where Outcomes Diverge: Efficient VLA RL via Probabilistic Chunk Masking cites this paper.

Learn Where Outcomes Diverge: Efficient VLA RL via Probabilistic Chunk Masking Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:09:02.659480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 56c18ea0-13ad-4965-98ff-870fb0e1512d · inbound

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization cites this paper.

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 133

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:43:17.257279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 510528f5-e4b1-4196-8011-37b2e07639e6 · inbound

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models cites this paper.

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:50:23.617278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bbde08bf-32e7-433b-9ce7-afe9dc3ef770 · inbound

AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning cites this paper.

AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:07:39.001497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69d21ad9-a07a-4301-af0e-5d08773fa56a · inbound

Learning Process Rewards via Success Visitation Matching for Efficient RL cites this paper.

Learning Process Rewards via Success Visitation Matching for Efficient RL Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:44.550081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5a0155eb-bdf8-4494-bf6d-5b47aabf7ef9 · inbound

Adapting Generalist Robot Policies with Semantic Reinforcement Learning cites this paper.

Adapting Generalist Robot Policies with Semantic Reinforcement Learning Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:45:42.654679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 844fe8d3-167e-4ef6-a8df-f31242600c73 · inbound

RL Bootstrapping of OpenVLA-OFT for a Novel Robot Embodiment cites this paper.

RL Bootstrapping of OpenVLA-OFT for a Novel Robot Embodiment Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 8

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