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Paper Citation Record · LEDGER

Energy-Weighted Flow Matching for Offline Reinforcement Learning

As of 10 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 2026-08-10T06:31:04.303077+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

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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:b6ae6b9dafb6985ba45ea9bc85ad1b9274a59b77fec3e7a50976af6bcefd3dc6

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:bdc58308e3cebbf32490cb10b81ae22abf7cda079e38a45a42d2cebd028bd5fe

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T21:55:46.183007Z digest=sha256:9d83112aab7eda7d67622997b885110f98a198a35ed917d4d94753228fae3a29

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T18:43:13.941495Z digest=sha256:58e74be856f2507343e4f38921b8b4d3bf060599412cae26bc0c0b231a907655

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=sha256:65b052f7396ed3f85dfc4ad09430fa9454f4a9c02bd5c53f8160bce50eb2dcae

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T07:19:33.319408Z digest=sha256:7c6296bbf9f2a6ccea6f0f6c5e17782d679529f740813720ed2cce73bc449a7a

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=sha256:52fc8724295a7e7f443ded2b735d01715221976a8134c607fdbf4daf9df8bcb0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:02:36.261596Z digest=sha256:7ff74916383c751d8ff85299c260696f92b912f1d36c023d2907aee602500cfa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T05:28:12.298066Z digest=sha256:1ac944b58d79806946e2bab7bb2857509d8a024a00a75914a3c0551bc5da348d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T16:25:25.739019Z digest=sha256:5ddde68f442849afa1844349095d496fbb9e0bc0f4e9c772f9fb26022df6a4a0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T02:12:58.528130Z digest=sha256:15b42f1e429bf8bdb8961024c34ebcd5275cdd0479ffe94f2f8682faecb32f61

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T07:03:00.503644Z digest=sha256:8b717e49fbb4ec052cd8e5b917be76504c678e1e63245760a88902d8a67c5d58

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:06:01.667173Z digest=sha256:1d2fc659d8d802f0500c890d53b372b13cc17e1d0587b18c6e7c4e30618013af

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T08:44:53.969301Z digest=sha256:785bb340aabcd51056e971d50655f99b2b349d06f34b6e7d0a93fc112bac2e18

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T14:05:01.073951Z digest=sha256:20fe84ddd9965a1752f9d7cbec959a6781fc8fcea117a67ee851fac754543cd3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T07:16:11.130271Z digest=sha256:bb2cc8a17a5a550c1b47dc21e60e955e5567454ee2f7ef97d344f15c470eec06

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T07:10:44.244790Z digest=sha256:3674a098b6a45777f35950ad8d5ee716fee9adf0d3646b0646d8b4236a5e9a87

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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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=sha256:998a246c7662eef43ce159fbce66bdac66f6b79450ebe8130f990ffdd188fa04