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Paper Citation Record · LEDGER

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models

As of 23 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2605.22896.

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

pith.paper-citation-record.v1
2605.22896 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T05:49:15.137844Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:36:25.474187Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact11
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d93db7a-c3a1-453f-9e72-c75869e00b15 · outbound

This paper cites Evolve-vla: Test-time training from environment feedback for vision- language-action models.arXiv preprint arXiv:2512.14666.

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models Evolve-vla: Test-time training from environment feedback for vision- language-action models.arXiv preprint arXiv:2512.14666

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:50:23.636896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:486527b090846504b49afceca4bfcfbfc1fe737ce95fca0a71a8f2e7878cd28f

Observation 4451ef23-73de-4bf1-ac4f-fe4c24b20d06 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:50:23.631505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:e2af0a84cc40172723c80143d59976d325bd2c83f06de3f61bf961972af7d24f

Observation 60e767ce-638a-4c77-9cec-96a4519efe07 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models RT-1: Robotics Transformer for Real-World Control at Scale

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:50:23.626860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:ad151404439c71b8be0a429cd986042c032be46725f9695a6a16f42341b4e6e8

Observation f9075c35-3d1f-47b4-b2a4-b3ca89514629 · outbound

This paper cites pi rl: Online rl fine-tuning for flow-based vision-language-action mod- els.arXiv preprint arXiv:2510.25889.

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models pi rl: Online rl fine-tuning for flow-based vision-language-action mod- els.arXiv preprint arXiv:2510.25889

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:50:23.611818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:35b92019ccd86ebd3ff93a861d1d48dfbc6d3ef290e8c1d6677c04284aa466bd

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

This paper cites Improving Vision-Language-Action Model with Online Reinforcement Learning.

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:ef8b33f8b857372214a1a0ffd598a0ac4c4f55e300e701f7bc27ae3c2c2933f4

Observation cbe743b6-77cb-4cbd-bacb-cac3fe38fc26 · outbound

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

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T05:50:23.622141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:be01e1fb923ab41b0670c1f0d24da923428c8943296c427bae7d6a447574afa1

Observation 1b262612-fb49-444e-86aa-395b41740bf5 · outbound

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

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T05:50:23.606742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:e1cf67621a15f426f35050bc21c001b19966cda2b9c6c7d9da03a40b8d0404d2

Observation 9a374585-75de-4517-8f68-e1fbf1190165 · outbound

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

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:50:23.641588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:40fa56405508a655342e64277ebfc3c41770b366683455ba3e37e35df97954da

Observation 32cfadfd-1d97-4991-9e4b-6633aab5aa82 · outbound

This paper cites What can rl bring to vla generalization? an empirical study.arXiv preprint arXiv:2505.19789.

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models What can rl bring to vla generalization? an empirical study.arXiv preprint arXiv:2505.19789

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:50:23.583206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:3d57f3bfc2b9e11ac4ba072d21d40cb3dcf0dfc6e1101a9631811a3beb1f3e87

Observation 91e39c76-f4ea-45cf-a5ee-df5d0d8dc74b · outbound

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

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:50:23.587617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:47f77ddaec6b58c9dce46bda0f5fc1178f408d5b3565f5782983347bf2c27fc3

Observation 42140423-c1cb-4d44-83f6-4d6013ad020b · outbound

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

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:50:23.578198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:4a1fad22022e80a2e13f62ddb17537ebbabea24ed6f533b35bd03c80f77386db

Observation 3107a534-7608-475d-9da6-23534a3f5191 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models Octo: An Open-Source Generalist Robot Policy

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T05:50:23.597046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:f0623d1c68bf93086fe9f5fd14f4b0b94e31bd2e61a87bd2b92f95cce7980227

Observation b2714c3a-5993-4176-ac04-158b1fa1cb87 · outbound

This paper cites Qwen3 Technical Report.

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models Qwen3 Technical Report

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:50:23.601453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:7dd07218b0a8b0c22a1fc15e3323a9c0a5cd27bfd2089cac40c4e41544eb41e5

Observation a58a6d40-6e95-475b-a9ea-4ed3936f944f · outbound

This paper cites A vision- language-action-critic model for robotic real-world rein- forcement learning.arXiv preprint arXiv:2509.15937.

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models A vision- language-action-critic model for robotic real-world rein- forcement learning.arXiv preprint arXiv:2509.15937

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:50:23.592087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T05:49:15.137844Z digest=sha256:546f0ed534eeb33854fa45381e938bde57ba5691f6db17957790b0eef8837fe1

Pith citing papers

Observation 588e9b20-3631-436a-bfd4-47658f49d517 · inbound

VistaVLA: Geometry- and Semantic-Aware 3D Gaussian-Grounded VLA for Robotic Manipulation cites this paper.

VistaVLA: Geometry- and Semantic-Aware 3D Gaussian-Grounded VLA for Robotic Manipulation Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T06:36:25.474187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:36:25.474187Z digest=sha256:438f3f0039f42a8a4bb522c31bb6643c27627d7cda77adaa90c34f5f1b51baf1