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Paper Citation Record · LEDGER

Energy-Weighted Flow Matching for Offline Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2503.04975.

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

pith.paper-citation-record.v1
2503.04975 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:41.812673Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:17:36.914370Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8205e69e-8374-4dde-aea1-9753110244a2 · inbound

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning cites this paper.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 33

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no resolver link, observed 2026-08-07T14:13:13.112158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:13:13.112158Z digest=sha256:ef3c7b95de01e98c36bbbaa2975c305e722b105efc822f2c1f828ebf5a14978a

Observation 863b8cb8-2f9d-4b82-9b87-409e89188567 · inbound

Decision Flow Policy Optimization cites this paper.

Decision Flow Policy Optimization Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 93

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unresolved
no resolver link, observed 2026-08-07T14:20:41.812673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:41.812673Z digest=sha256:2c5e30fda9f2bb2060db3a0d33695ac518b729d16808352bde766149c5bf018e

Observation 6070c92e-c9cb-4651-9f72-f8d6858d621e · inbound

Steering Your Diffusion Policy with Latent Space Reinforcement Learning cites this paper.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 44

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verified exact
arxiv_id, observed 2026-05-17T21:55:46.427116Z

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.

source=pdf_text observed=2026-05-17T21:55:46.183007Z digest=sha256:162c6913d881898741a2bf1b9c2c75ea5aeb4120aa0813ff8f55ffbef669d175

Observation 1048406d-16cc-49aa-913f-5068cd742585 · inbound

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling cites this paper.

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 41

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malformed identifier
arxiv_id, observed 2026-05-18T18:46:45.407249Z

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.

source=pdf_text observed=2026-05-18T18:43:13.941495Z digest=sha256:e4325cc6c343c5fce3aecfbf67c44419c1f340a683f3fe6127042b86c18450a5

Observation 94d2adb0-a693-488f-9d59-14070dd5b872 · 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 Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 39

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unresolved
no resolver link, observed 2026-08-05T10:30:23.678531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:30:23.678531Z digest=sha256:9ee653f1b58179faab19a7f010ba2e7c32dcad0a38f1d1d219148e23e7f8b90c

Observation 4a5f37e5-1e07-4c3b-8758-2b5c9a4b57f3 · inbound

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery cites this paper.

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:20:28.586027Z

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.

source=pdf_text observed=2026-05-25T07:19:33.319408Z digest=sha256:15bb8876052a44c954cf8c312af5b4292c2cec08182c3b59c1a4b7ea004182c9

Observation 84204006-5e45-46e0-89e4-b413bdf9cc95 · inbound

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

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 62

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T23:47:45.866615Z digest=sha256:f5b5c5a68da9389677ccb2e37d315c0972cada09ab2a9db294842262560c9146

Observation a6e20c66-cabf-44a8-b02c-b6a7f6f6fbbd · inbound

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching cites this paper.

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 25

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verified exact
arxiv_id, observed 2026-05-11T09:26:00.564013Z

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.

source=pdf_text observed=2026-05-10T16:02:36.261596Z digest=sha256:2c2a0f141d891179825da015ac4d2676ca08a8e912a3d5319360d6cbb3d0676d

Observation 3f0949f7-ff61-4725-847c-30abeceb54e5 · inbound

Fisher Decorator: Refining Flow Policy via a Local Transport Map cites this paper.

Fisher Decorator: Refining Flow Policy via a Local Transport Map Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 9

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verified exact
arxiv_id, observed 2026-05-10T06:51:46.547398Z

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.

source=pdf_text observed=2026-05-10T05:28:12.298066Z digest=sha256:2c3ced9baeb36ef54062d07925624276c740145f3762eb890f5a430878a10061

Observation 51ee294b-35f5-4a7b-8e6c-82d53ee7a862 · inbound

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning cites this paper.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 74

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metadata mismatch
arxiv_id, observed 2026-05-11T08:56:00.636875Z

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.

source=arxiv_source observed=2026-05-10T16:25:25.739019Z digest=sha256:bf14b57202f7e9b5212eb7ab837b347f8c7a8129857b4a47df71f335bb61bc71

Observation 87e11243-4697-4730-8082-7d22e11a4bcd · inbound

Path-Coupled Bellman Flows for Distributional Reinforcement Learning cites this paper.

Path-Coupled Bellman Flows for Distributional Reinforcement Learning Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 36

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metadata mismatch
arxiv_id, observed 2026-05-12T02:16:16.244558Z

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.

source=arxiv_source observed=2026-05-12T02:12:58.528130Z digest=sha256:35d0e9336d488b281715b7347ef2d7e901af85230177b93322b304b241c7067d

Observation f90e15fa-9a45-4f93-aa93-b9c8892a09fe · inbound

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models cites this paper.

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 73

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verified exact
arxiv_id, observed 2026-05-13T07:07:28.035467Z

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.

source=pdf_text observed=2026-05-13T07:03:00.503644Z digest=sha256:2d062fdbe6b77f5834700d8eb047fb64dbf97633c7d02c6aa15f6ce03a88656e

Observation f393a682-3814-49ab-bdcd-b63ffe42f1e6 · inbound

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models cites this paper.

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 73

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verified exact
arxiv_id, observed 2026-05-14T21:19:28.253263Z

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.

source=pdf_text observed=2026-05-14T21:06:01.667173Z digest=sha256:4b5b2e471113597145ba416605c80ecb438bb91b59a8d41c2d0af0e6f2499a2f

Observation 64f22c4e-39f9-4d5a-a369-00ac0139900b · inbound

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models cites this paper.

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 61

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verified exact
arxiv_id, observed 2026-06-29T08:53:16.403111Z

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.

source=pdf_text observed=2026-06-29T08:44:53.969301Z digest=sha256:18c21e8547d35ec0ccc9627d4364b9704e79d3e3ad96db4d228bdce653c263ae

Observation acfaa4a8-dac4-4390-b7d6-f0befc83a709 · inbound

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning cites this paper.

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 70

Resolution
malformed identifier
arxiv_id, observed 2026-07-03T04:17:36.915862Z

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.

source=pdf_text observed=2026-06-27T14:05:01.073951Z digest=sha256:71e9500f7408a743883ed5a1fdb7822047b22702207ed75b469301970b7e782e

Observation 27331144-09a4-4232-9a09-094465b2bc99 · inbound

Dual-Flow Reinforcement Learning with State-Aware Exploration cites this paper.

Dual-Flow Reinforcement Learning with State-Aware Exploration Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:24:21.817296Z

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.

source=pdf_text observed=2026-06-30T07:16:11.130271Z digest=sha256:cd68165f72de04f3e58fcb537408cc5ad3d86a5f2463c11603daddc5af3da363

Observation a37c77e0-f56c-4138-b8d7-e6e7f43221b8 · inbound

FlowAWR: Online Adaptive Flow Reinforcement via Advantage-Weighted Rectification cites this paper.

FlowAWR: Online Adaptive Flow Reinforcement via Advantage-Weighted Rectification Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:14:20.938562Z

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.

source=pdf_text observed=2026-06-30T07:10:44.244790Z digest=sha256:2e8123bd1c2529677d4d3d25ebf02bfbc55251289f0f064c28561d90f5f40f36

Observation 4ef6ed66-eda6-4fab-87fc-b290f058f51f · inbound

A Single Diffusion-Policy Controller for Multi-Task Block Pushing with Zero-Shot Sim-to-Real Transfer cites this paper.

A Single Diffusion-Policy Controller for Multi-Task Block Pushing with Zero-Shot Sim-to-Real Transfer Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 11

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unresolved
no resolver link, observed 2026-07-14T08:30:10.584105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:30:10.584105Z digest=sha256:1821a1b47d5fd18c1c31865f240c18a72fee92c2ed3c841e0c927472538ed1a3