Paper Citation Record · LEDGER

ReFPO: Reflow Regularization for Flow Matching Policy Gradients

As of 13 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2606.21086.

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

pith.paper-citation-record.v1
2606.21086 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:38:54.754049Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

51 of 51 outbound references displayed

verified exact24
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 153dedf5-c742-467b-a315-b743ca2163c5 · outbound

This paper cites Training diffusion models with reinforcement learning.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Training diffusion models with reinforcement learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation 50b65e5b-237d-4e95-858c-e5905dd97445 · outbound

This paper cites OpenAI Gym.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients OpenAI Gym

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.814921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 13b18639-4339-4ad4-b65f-1a2260f77754 · outbound

This paper cites One-step flow policy mirror descent.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients One-step flow policy mirror descent

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.789323Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f6dda6d-cb91-486e-8a89-5e681b876bd8 · outbound

This paper cites arXiv preprint arXiv:2512.05150 (2025).

ReFPO: Reflow Regularization for Flow Matching Policy Gradients arXiv preprint arXiv:2512.05150 (2025)

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.836061Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 76f3c65b-336b-406c-89a9-57cbd144d746 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Diffusion policy: Visuomotor policy learning via action diffusion

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Observation a7df2820-a089-4f37-a6fa-2b6f2b1f943c · outbound

This paper cites Online reward-weighted fine-tuning of flow matching with wasserstein regularization.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Online reward-weighted fine-tuning of flow matching with wasserstein regularization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation 64e3e799-4485-47e5-bbfe-e7b450331418 · outbound

This paper cites One step diffusion via shortcut models.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients One step diffusion via shortcut models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation 038c8539-6fd7-4983-8f25-58b9ac8897eb · outbound

This paper cites Mean Flows for One-step Generative Modeling.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Mean Flows for One-step Generative Modeling

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.832763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9e4ae72e-23fc-45dc-8b06-5b8452332065 · outbound

This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.817797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a91c4516-3590-4eed-83d4-eccf89f30088 · outbound

This paper cites Planning with diffusion for flexible behavior synthesis.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Planning with diffusion for flexible behavior synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation 75b20caf-2993-4279-a207-d4861cb1a408 · outbound

This paper cites Understanding diffusion objectives as the ELBO with simple data augmentation.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Understanding diffusion objectives as the ELBO with simple data augmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Observation fefffa0b-e388-4dd8-9e8d-9650edeabf4a · outbound

This paper cites Optimal flow matching: Learning straight trajectories in just one step.Advances in Neural Information Processing Systems, 37:104180–104204, 2024.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Optimal flow matching: Learning straight trajectories in just one step.Advances in Neural Information Processing Systems, 37:104180–104204, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Observation 5062f946-8457-42e9-ae6b-1b72b58035e6 · outbound

This paper cites MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.820856Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5a345ec3-ef2b-426b-9ec2-7d32e2d34a80 · outbound

This paper cites Reinforcement learning with action chunking.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Reinforcement learning with action chunking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation 01b8764c-c800-46be-8e57-6579413d1435 · outbound

This paper cites Adversarial Flow Models.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Adversarial Flow Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.823630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1e2b05a6-1344-4f61-aa40-ca72085df262 · outbound

This paper cites Flashaudio: Rectified flow for fast and high-fidelity text-to-audio generation.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Flashaudio: Rectified flow for fast and high-fidelity text-to-audio generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Observation 375f5fa7-4237-4839-8ba4-d9718f353a55 · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Flow-GRPO: Training Flow Matching Models via Online RL

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.826561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ad47ff5-8d6e-4b39-a634-d060b0b7616f · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Unavailable: canonical work link unavailable.

Observation e2f51742-7901-4ad7-8e80-21c9e1c7ce59 · outbound

This paper cites Soflow: Solution flow models for one-step generative modeling.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Soflow: Solution flow models for one-step generative modeling

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.829853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d04b7211-6ada-409b-9bc8-1a1bc6a01716 · outbound

This paper cites Perpetual humanoid control for real-time simulated avatars.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Perpetual humanoid control for real-time simulated avatars

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation 53d83936-0ddb-46c2-85f7-48147fa6f40b · outbound

This paper cites Flow-Based Policy for Online Reinforcement Learning.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Flow-Based Policy for Online Reinforcement Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.803584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fbf5823d-74e8-4739-bad8-630af31506bc · outbound

This paper cites Amass: Archive of motion capture as surface shapes.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Amass: Archive of motion capture as surface shapes

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Observation 4b749de0-ba94-4e36-aacc-f50da342d70b · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.777231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ec13d94-630e-4ff1-9b03-e26a0bba8df9 · outbound

This paper cites Flow Matching Policy Gradients.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Flow Matching Policy Gradients

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.773920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4c8f06f3-ed7a-4deb-a9b5-30df5f880f35 · outbound

This paper cites Revisiting diffusion q-learning: From iterative denoising to one-step action generation.arXiv preprint arXiv:2508.13904, 2025.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Revisiting diffusion q-learning: From iterative denoising to one-step action generation.arXiv preprint arXiv:2508.13904, 2025

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.812060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 08613148-0952-4708-9915-2ae2cbae0c21 · outbound

This paper cites Flow Q-Learning.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Flow Q-Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.783136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a1de6f13-1dc8-45fc-8ad5-d42af1c431f4 · outbound

This paper cites Deepmimic: Example- guided deep reinforcement learning of physics-based character skills.ACM Transactions On Graphics (TOG), 37(4):1–14, 2018.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Deepmimic: Example- guided deep reinforcement learning of physics-based character skills.ACM Transactions On Graphics (TOG), 37(4):1–14, 2018

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Observation ceeaffb4-fd4c-4e40-8877-de716c09f116 · outbound

This paper cites Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, and Max Simchowitz.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, and Max Simchowitz

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Observation 91f4000c-f1a2-4591-95d1-e960fe721cd7 · outbound

This paper cites Proximal Policy Optimization Algorithms.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Proximal Policy Optimization Algorithms

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.841977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 06805b5e-9603-4903-a27a-f86b69aa352e · outbound

This paper cites FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.839390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 91988b64-05fa-4a21-b708-911437f6aa37 · outbound

This paper cites LEARNING STRAIGHT FLOWS BY LEARNING CURVED INTERPOLANTS.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients LEARNING STRAIGHT FLOWS BY LEARNING CURVED INTERPOLANTS

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation 4b31069c-dad3-4663-9237-947231ecf390 · outbound

This paper cites Consistency Models.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Consistency Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.780060Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3441e47d-6b81-4f8f-8e82-d5cafed42ffd · outbound

This paper cites DeepMind Control Suite.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients DeepMind Control Suite

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.809089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a4ab1a5d-53da-4e13-a3d7-f9830461ec07 · outbound

This paper cites Mujoco: A physics engine for model-based control.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Mujoco: A physics engine for model-based control

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Observation 4110262f-de45-4b89-9d81-b6a91697ebee · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.Transactions on Machine Learning Research, pages 1–34, 2024.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Improving and generalizing flow-based generative models with minibatch optimal transport.Transactions on Machine Learning Research, pages 1–34, 2024

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Observation 97204582-c02b-4657-9f5a-8b6a64881615 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.844684Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f003ed34-9a26-4ed8-9be8-fc989ef3e2ce · outbound

This paper cites dm_control: Software and tasks for continuous control.Software Impacts, 6:100022, 2020.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients dm_control: Software and tasks for continuous control.Software Impacts, 6:100022, 2020

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17316771-bf50-4577-89d3-77c6a5def3e4 · outbound

This paper cites One-step generative policies with q-learning: A reformulation of meanflow.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients One-step generative policies with q-learning: A reformulation of meanflow

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.794249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3ab7fbd-6e3c-42c2-aa25-81289099659f · outbound

This paper cites Diffusion policies as an expressive policy class for offline reinforcement learning.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Diffusion policies as an expressive policy class for offline reinforcement learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation 9df66385-a10d-4731-8448-f5b819c8d069 · outbound

This paper cites Consistency flow matching: Defining straight flows with velocity consistency.CoRR, 2024.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Consistency flow matching: Defining straight flows with velocity consistency.CoRR, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation 10587744-e089-4d59-bc9c-4d857a1bb446 · outbound

This paper cites One-step diffusion with distribution matching distillation.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients One-step diffusion with distribution matching distillation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

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Observation f8da729b-4043-4834-9878-f75dc173af1d · outbound

This paper cites MuJoCo Playground.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients MuJoCo Playground

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.785912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8703a874-13a4-4644-80db-2f2bb3f3a6e9 · outbound

This paper cites Energy-weighted flow matching for offline reinforcement learning.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Energy-weighted flow matching for offline reinforcement learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5688efb-3667-4f62-932a-30f6ea6cea5a · outbound

This paper cites an unresolved cited work.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 588fc1cb-01a5-45c2-9b97-4d51497f61f8 · outbound

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

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Reinflow: Fine-tuning flow matching policy with online reinforcement learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319d7846-9c17-4f61-88f1-347c22b9293d · outbound

This paper cites Flow straighter and faster: Efficient one- step generative modeling via meanflow on rectified trajecto- ries.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Flow straighter and faster: Efficient one- step generative modeling via meanflow on rectified trajecto- ries

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.797579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8fec7bfe-0b14-4603-b969-d73f80255e56 · outbound

This paper cites SCot: Unifying consistency models and rectified flows via straight-consistent trajectories.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients SCot: Unifying consistency models and rectified flows via straight-consistent trajectories

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27bffc43-d898-42e9-9516-2d977efbc142 · outbound

This paper cites Terminal velocity matching.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Terminal velocity matching

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.806531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b90716fe-637f-40f1-899d-41108441a417 · outbound

This paper cites Analyzing and Mitigating Model Collapse in Rectified Flow Models.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Analyzing and Mitigating Model Collapse in Rectified Flow Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.800693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f5c04604-e67b-4952-a9a6-65d555ed667f · outbound

This paper cites Slimflow: Training smaller one-step diffusion models with rectified flow.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Slimflow: Training smaller one-step diffusion models with rectified flow

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Unavailable: canonical work link unavailable.

Observation d7028486-6b0c-453b-9fc7-c7d9984c1857 · outbound

This paper cites Di [m] o: Distilling masked diffusion models into one-step generator.

ReFPO: Reflow Regularization for Flow Matching Policy Gradients Di [m] o: Distilling masked diffusion models into one-step generator

Reference 51

Resolution: malformed identifier; no resolver link, observed 2026-06-26T14:38:54.754049Z

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Pith citing papers

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