Paper Citation Record · LEDGER

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 3 inbound Pith citation observations for arXiv:2601.08136.

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

pith.paper-citation-record.v1
2601.08136 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:58:48.872832Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T23:47:45.866615Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T03:49:31.218132Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 833d0adb-47a0-4ea0-924f-c6d48cd7f6a8 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Deep unsupervised learning using nonequilibrium thermodynamics

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:45.251938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a4c57e-f037-422a-abe4-36526df3b4e2 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:45.350199Z

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Observation 4e80d303-751b-41e2-b78b-62fafacfd02b · outbound

This paper cites an unresolved cited work.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:45.464332Z

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Observation e1fb49eb-d8af-498e-a4c3-2fb9c53c1899 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies High- resolution image synthesis with latent diffusion models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:45.603358Z

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Observation 045b5e92-9cf2-4784-9fbe-387c1a6bfcfd · outbound

This paper cites Scaling rectified flow transformers for high- resolution image synthesis.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Scaling rectified flow transformers for high- resolution image synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:45.695502Z

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Observation 93e151d7-96e4-4bbd-b3dd-d75a6ba8f06b · outbound

This paper cites Video diffusion models.Advances in neural information processing systems, 35:8633–8646, 2022.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Video diffusion models.Advances in neural information processing systems, 35:8633–8646, 2022

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:45.767045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9143424-a43b-469f-b09d-a2d026402b97 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Pyramidal flow matching for efficient video generative modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:45.946573Z

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Unavailable: canonical work link unavailable.

Observation 639113db-7e08-4421-a2d7-a8fd16c804d4 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, page 02783649241273668, 2023.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, page 02783649241273668, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:46.095599Z

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Observation e94d59a0-348d-4f41-adc4-8f0ea1afcd56 · outbound

This paper cites Fast and robust visuomotor riemannian flow matching policy.IEEE Transactions on robotics, 2025.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Fast and robust visuomotor riemannian flow matching policy.IEEE Transactions on robotics, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:46.179713Z

Source-reported events for the cited work

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Observation 68eb1f44-d696-4974-836a-e71e889d719e · outbound

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

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Diffusion policies as an expressive policy class for offline reinforcement learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:46.231464Z

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Observation feb4117f-b30c-4a73-afba-2f79c66a7dee · outbound

This paper cites Flow q-learning.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Flow q-learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:46.389886Z

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Observation d226ec83-7d80-4821-880a-5e848c1e63a7 · outbound

This paper cites Soft actor-critic: Off-policy max- imum entropy deep reinforcement learning with a stochastic actor.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Soft actor-critic: Off-policy max- imum entropy deep reinforcement learning with a stochastic actor

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:46.535345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b654983-344a-4ce0-93f1-370d431825f8 · outbound

This paper cites Efficient online reinforcement learning for diffusion policy.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Efficient online reinforcement learning for diffusion policy

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:46.670434Z

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Observation dc75b755-4b91-401d-a5e7-f4889c33db41 · outbound

This paper cites Maximum entropy reinforcement learning with diffusion policy.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Maximum entropy reinforcement learning with diffusion policy

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:46.759163Z

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Observation 456f27fe-8874-4bef-b35f-d4162c0e4045 · outbound

This paper cites Iterated denois- ing energy matching for sampling from boltzmann densities.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Iterated denois- ing energy matching for sampling from boltzmann densities

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:46.937229Z

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Observation 626e9e36-6abf-4181-b04f-328101049240 · outbound

This paper cites Sampling from energy-based policies using diffusion.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Sampling from energy-based policies using diffusion

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:47.093186Z

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Unavailable: canonical work link unavailable.

Observation 64495332-ef8c-4b65-a517-7c9423aebd2a · outbound

This paper cites Diffusion actor-critic with entropy regulator.Advances in Neural Information Processing Systems, 37:54183–54204, 2024.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Diffusion actor-critic with entropy regulator.Advances in Neural Information Processing Systems, 37:54183–54204, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:47.233661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef793eed-2799-4051-a587-48d3570bd33f · outbound

This paper cites Flow-based policy for online reinforcement learning.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Flow-based policy for online reinforcement learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:47.312614Z

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Unavailable: canonical work link unavailable.

Observation 91e5720d-a937-45ef-ac06-4cd058a0da86 · outbound

This paper cites Learning a diffusion model policy from rewards via q-score matching.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Learning a diffusion model policy from rewards via q-score matching

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:47.438409Z

Source-reported events for the cited work

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Observation 30f9cc1d-de0a-4856-91b4-f44db276e851 · outbound

This paper cites Langevin soft actor-critic: Effi- cient exploration through uncertainty-driven critic learning.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Langevin soft actor-critic: Effi- cient exploration through uncertainty-driven critic learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:47.553359Z

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Unavailable: canonical work link unavailable.

Observation e275e09e-ad33-4679-9fde-a5f33f4f7c5e · outbound

This paper cites Diffusion-based reinforcement learning via q-weighted variational policy optimization.Advances in Neural Information Processing Systems, 37:53945–53968, 2024.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Diffusion-based reinforcement learning via q-weighted variational policy optimization.Advances in Neural Information Processing Systems, 37:53945–53968, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:47.725924Z

Source-reported events for the cited work

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Observation 3cec7a6d-f65b-436b-8d96-691b3fb1cba3 · outbound

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

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Online reward- weighted fine-tuning of flow matching with wasserstein regularization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:47.874754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d534975d-0181-4ed3-9c0d-a36e8abd9cbb · outbound

This paper cites Control functionals for monte carlo integration.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Control functionals for monte carlo integration

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:48.038292Z

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Observation 08f3acb7-afed-46a5-8bd2-ed26d3c9b98e · outbound

This paper cites Measuringsamplequalitywithkernels.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Measuringsamplequalitywithkernels

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:48.137246Z

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Observation 90a25998-d82a-45f7-90cc-0976f53cd262 · outbound

This paper cites Importance sampling: a review.Wiley Interdisciplinary Reviews: Computational Statistics, 2(1):54–60, 2010.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Importance sampling: a review.Wiley Interdisciplinary Reviews: Computational Statistics, 2(1):54–60, 2010

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:48.308114Z

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Observation 4fc221bb-0438-461a-bc41-e29dbabe7eda · outbound

This paper cites Model-based diffusion for trajectory optimization.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Model-based diffusion for trajectory optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:48.440171Z

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Observation 33272ca3-4f45-4821-bffb-ca03d67b300f · outbound

This paper cites Reverse diffusion monte carlo.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Reverse diffusion monte carlo

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:48.632743Z

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Observation 55fc4954-db14-4fb9-a5f1-10e968e96066 · outbound

This paper cites Stochastic localization via iterative posterior sampling.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies Stochastic localization via iterative posterior sampling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:48.771946Z

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Observation 93896640-bd77-4dff-b79b-bed03ad9d493 · outbound

This paper cites DeepMind Control Suite.

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies DeepMind Control Suite

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T10:58:48.872832Z

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Pith citing papers

Observation bc753560-b09f-462f-b993-e381b25043a7 · inbound

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning cites this paper.

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T23:47:45.866615Z

Source-reported events for the cited work

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Observation 241656fa-c536-466f-ac90-5aee52c75cf7 · inbound

Mean Flow Policy Optimization cites this paper.

Mean Flow Policy Optimization Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T20:04:29.261622Z

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Unavailable: canonical work link unavailable.

Observation 5b1319b1-dc1b-40a1-94fd-5966b4c23068 · inbound

Start Right, Arrive Right: Asynchronous Execution via Initial Noise Selection cites this paper.

Start Right, Arrive Right: Asynchronous Execution via Initial Noise Selection Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:49:31.220478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.