Paper Citation Record · LEDGER

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy

As of 9 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.27782.

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

pith.paper-citation-record.v1
2607.27782 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:32:29.257711Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e72429ad-42f0-4072-9f0a-da71a7148146 · outbound

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

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:23.601264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 149e7607-976a-4929-b062-b505d443b47c · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:23.677487Z

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Observation 88cfc586-1c62-47d9-bd75-66a42b2e4fa9 · outbound

This paper cites Sanketi, Grecia Salazar, Michael S.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Sanketi, Grecia Salazar, Michael S

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:23.766592Z

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Unavailable: canonical work link unavailable.

Observation 20efdf95-28dc-4cd8-ae9c-609f45287d71 · outbound

This paper cites Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:24.016278Z

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Observation 61fec517-7092-4679-88c5-267c8056e2b1 · outbound

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

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:24.247944Z

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Observation 01bf5c1e-2ec4-4feb-ab87-83801cc30ddb · outbound

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

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:24.481776Z

Source-reported events for the cited work

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Observation bef5b326-f5d2-497a-be70-338404c16ffc · outbound

This paper cites Reinflow: Fine-tuning flow matching policy with online reinforcement learning.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Reinflow: Fine-tuning flow matching policy with online reinforcement learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:24.640811Z

Source-reported events for the cited work

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Observation 7cbb76f7-2b2f-4998-ba1e-706ad2cfd9e9 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:24.807759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce3a0085-771e-4f88-8e61-3e6e77c6cc9a · outbound

This paper cites Reinforcement learning by reward-weighted regression for operational space control.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Reinforcement learning by reward-weighted regression for operational space control

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:24.985831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1d9edde-1026-4ae6-934f-10b1f556a7ee · outbound

This paper cites Lundell, and Dongdong Chen.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Lundell, and Dongdong Chen

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:25.109246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a95f753a-b662-479e-bbb8-80748f72cebb · outbound

This paper cites GRAPE: Generalizing Robot Policy via Preference Alignment.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:25.304633Z

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Unavailable: canonical work link unavailable.

Observation 558f1cde-f69a-4d52-9e9b-afa14f0aad0e · outbound

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

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:25.499227Z

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Observation a88983dc-5cf6-430d-b913-d3493a4a3ca8 · outbound

This paper cites Hg- dagger: Interactive imitation learning with human experts.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Hg- dagger: Interactive imitation learning with human experts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:25.692967Z

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Unavailable: canonical work link unavailable.

Observation 6f363d81-147e-4705-bc25-db47dfb0eb44 · outbound

This paper cites Precise and dexterous robotic manip- ulation via human-in-the-loop reinforcement learning.Science Robotics, 10(105):eads5033, 2025.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Precise and dexterous robotic manip- ulation via human-in-the-loop reinforcement learning.Science Robotics, 10(105):eads5033, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:25.855282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18048a30-1ca7-4f61-b3c9-73d16cf214be · outbound

This paper cites Human-assisted robotic policy refinement via action preference optimization.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Human-assisted robotic policy refinement via action preference optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:26.017594Z

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Observation 5a65a549-f032-4208-89e2-a3a0240fe082 · outbound

This paper cites Openvla: An open-source vision-language-action model.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Openvla: An open-source vision-language-action model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:26.146487Z

Source-reported events for the cited work

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Observation e3c343a5-1d07-4c15-8de6-d7b3edff416f · outbound

This paper cites Open x- embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Open x- embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:26.258691Z

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Observation ac7c9196-943b-41dc-8e24-a60ea0e5df51 · outbound

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

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Octo: An Open-Source Generalist Robot Policy

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:26.432497Z

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Unavailable: canonical work link unavailable.

Observation 25560d67-5566-4907-a189-f95aee1c0017 · outbound

This paper cites Halo: A unified vision-language-action model for embodied multimodal chain-of-thought reasoning, 2026.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Halo: A unified vision-language-action model for embodied multimodal chain-of-thought reasoning, 2026

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:26.576523Z

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Observation 8bbdc617-4fa0-48b5-97b5-170a633430d5 · outbound

This paper cites Wmpo: World model-based policy optimization for vision-language-action models.arXiv preprint arXiv:2511.09515, 2025.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Wmpo: World model-based policy optimization for vision-language-action models.arXiv preprint arXiv:2511.09515, 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:26.746368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a8139bc-0c1b-4c01-8e96-857964a96757 · outbound

This paper cites Rlinf: Flexible and efficient large-scale reinforcement learning via macro-to-micro flow transformation.arXiv preprint arXiv:2509.15965, 2025.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Rlinf: Flexible and efficient large-scale reinforcement learning via macro-to-micro flow transformation.arXiv preprint arXiv:2509.15965, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:26.943507Z

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Observation 734a8d37-c8f0-4800-aedc-394c6387aa0d · outbound

This paper cites CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:27.131743Z

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Unavailable: canonical work link unavailable.

Observation 4bf198d9-adaf-45cc-87fa-d87f755dfa2e · outbound

This paper cites Rl-100: Performant robotic manipulation with real-world reinforcement learning.arXiv preprint arXiv:2510.14830, 2025.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Rl-100: Performant robotic manipulation with real-world reinforcement learning.arXiv preprint arXiv:2510.14830, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:27.252963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08ee7e7-79ca-4e0b-ac81-af9759d37e18 · outbound

This paper cites Diffusion Guidance Is a Controllable Policy Improvement Operator.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Diffusion Guidance Is a Controllable Policy Improvement Operator

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:27.374609Z

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Unavailable: canonical work link unavailable.

Observation 7e1f1fa3-d458-4fc4-827b-3f161ef6b7f0 · outbound

This paper cites Roboreward: General-purpose vision-language reward models for robotics, 2026.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Roboreward: General-purpose vision-language reward models for robotics, 2026

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:27.463145Z

Source-reported events for the cited work

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Observation c2352e95-8445-450d-b44e-25497fe26e6d · outbound

This paper cites Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:27.671364Z

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Observation 12f6b819-2464-4816-92de-260ae5e4a463 · outbound

This paper cites Robo-dopamine: General process reward modeling for high- precision robotic manipulation, 2025.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Robo-dopamine: General process reward modeling for high- precision robotic manipulation, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:27.796337Z

Source-reported events for the cited work

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Observation 42e9925c-90ea-490f-b5ff-4ce284d18d14 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy KTO: Model Alignment as Prospect Theoretic Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:27.996711Z

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Observation 132e29d9-285f-47eb-9223-d7171980306a · outbound

This paper cites Flow match- ing for generative modeling.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Flow match- ing for generative modeling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:28.156356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81821e9c-cb5a-44c5-8e24-3d3912ee4e22 · outbound

This paper cites Accelerated hierarchical density based clustering.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Accelerated hierarchical density based clustering

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:28.372431Z

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Observation 9879ed17-1783-474f-80b3-696e11f41b1b · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Libero: Benchmarking knowledge transfer for lifelong robot learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:28.535770Z

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Observation a523d63f-1fac-4ffd-a16f-b8e9507a3ecc · outbound

This paper cites URL https://arxiv.org/ abs/2510.25889.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy URL https://arxiv.org/ abs/2510.25889

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:28.662504Z

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Observation bd52779b-0d90-4467-9c05-ed618d54296d · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Direct preference optimization: Your language model is secretly a reward model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:28.840631Z

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Observation 47e095a4-d001-4326-afc8-46603a1986fa · outbound

This paper cites Proximal Policy Optimization Algorithms.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Proximal Policy Optimization Algorithms

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:28.948209Z

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Unavailable: canonical work link unavailable.

Observation 69e58c6a-8ca7-4a6f-b72a-7cd138ffd8bf · outbound

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

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T01:32:29.097678Z

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Unavailable: canonical work link unavailable.

Observation 42f5953c-f3e1-4996-ac5b-32e9c9c9dfbc · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy Training Diffusion Models with Reinforcement Learning

Reference 36

Resolution: malformed identifier; no resolver link, observed 2026-08-01T01:32:29.257711Z

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Pith citing papers

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