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Paper Citation Record · LEDGER

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2405.16173.

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

pith.paper-citation-record.v1
2405.16173 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:37:52.066423Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:27:08.523168Z

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 d2d223cc-4f1c-428a-8e52-3e14cb117f46 · inbound

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement cites this paper.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 12

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unresolved
no resolver link, observed 2026-08-07T18:37:52.066423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:37:52.066423Z digest=sha256:4256f0a414fb8e6431e3adf7580b0719c16dcde71f874705dddf8f1e590db4ff

Observation de1150a3-cfae-485b-a4eb-b33f5c0b678b · inbound

Decision Flow Policy Optimization cites this paper.

Decision Flow Policy Optimization Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 18

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unresolved
no resolver link, observed 2026-08-07T14:20:37.020291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:37.020291Z digest=sha256:0832e8b36248cba5669b4763252c9339da1c815ee6ddca30c9a370c5b47d6cb3

Observation a9d0a9fb-90c6-40a4-9195-3bccadcfe764 · inbound

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

Steering Your Diffusion Policy with Latent Space Reinforcement Learning Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 45

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verified exact
arxiv_id, observed 2026-05-17T21:55:46.430819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T21:55:46.183007Z digest=sha256:14a9fc79c59f20d803d2e4270545d37c4ed69339115c6946a56b53af2a53ebcd

Observation 6d4db618-e50a-496c-8adc-0ea422b15dca · inbound

HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks cites this paper.

HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 35

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unresolved
no resolver link, observed 2026-08-06T23:50:02.662403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:02.662403Z digest=sha256:2669a112364387e17e94c9f2135a2afe9a2f29eaaf78318c10ad29f4134735cd

Observation ef07dbbb-151e-4ef5-95aa-0e3223f5e854 · inbound

EXPO: Stable Reinforcement Learning with Expressive Policies cites this paper.

EXPO: Stable Reinforcement Learning with Expressive Policies Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 5

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verified exact
arxiv_id, observed 2026-05-19T05:12:05.230120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T05:09:02.111308Z digest=sha256:c5139c7cbe12105471cf997babe4b98eb5a67749b6752e4c8d2bef5e7f49bce8

Observation 7b45f7d0-db9f-44ce-8210-96a464c428be · inbound

Diffusion-RL Based Air Traffic Conflict Detection and Resolution Method cites this paper.

Diffusion-RL Based Air Traffic Conflict Detection and Resolution Method Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T11:23:27.730238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:23:27.730238Z digest=sha256:8a981b98f548c0106d32b515a7301726f24d40204d04c1ef786fb3ec7779f0b6

Observation 6c0f4d79-0b6c-4d53-9af6-1394b11717c0 · inbound

Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces cites this paper.

Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 12

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verified exact
arxiv_id, observed 2026-05-21T21:15:38.745448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T21:14:54.053177Z digest=sha256:9101fc4aabc8829bbbc61145864f0c4a8fb31b4bb9d0d5dd709528d248f818ee

Observation d4aba522-0def-4149-9404-489511118c19 · inbound

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

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 11

Resolution
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=sha256:9367a7c653631de18d88c56b2d959269304cdd12fd83e4f5eeb24cb9bdcfa5c0

Observation 32cf8da1-700b-4dcc-ad65-cd82ad83d9b5 · 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 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 16

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verified exact
arxiv_id, observed 2026-05-13T07:07:27.828345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T07:03:00.503644Z digest=sha256:90f3bd84c5a45507c55fbce332037ace70d98c5f8f1c0836f49b9b80c881673c

Observation dcda94e4-7bdf-4dd0-9387-2e943a99952e · 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 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 16

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verified exact
arxiv_id, observed 2026-05-14T21:19:28.295188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:06:01.667173Z digest=sha256:10629b7a3dfc9be37599303c1a5798e6ae81f6d525704ae2dae73a7ad67f25d1

Observation f28d22ba-0d65-4a92-9b03-a240a67cf114 · inbound

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing cites this paper.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:18:59.809137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T20:15:44.030714Z digest=sha256:666d79502ee619bdacf277cb216b824e580728e405daffa531ab863f349eb491

Observation 1dc1b9b9-b204-4a54-aa46-3b73577ea4e0 · inbound

MoDex: A Diffusion Policy for Sequential Multi-Object Dexterous Grasping cites this paper.

MoDex: A Diffusion Policy for Sequential Multi-Object Dexterous Grasping Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:36:48.678200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T05:49:12.914089Z digest=sha256:51a600a6a74b7af065c2da684a4c4bbc0ec40828c2ff7d337a998ac8262a0d75

Observation 085e6f9d-c176-457c-a0f0-5c2ad030a9a6 · inbound

GenPO++: Generative Policy Optimization with Jacobian-free Likelihood Ratios cites this paper.

GenPO++: Generative Policy Optimization with Jacobian-free Likelihood Ratios Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:27:08.524660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T22:47:10.062975Z digest=sha256:7d01698cd1ba9407a825c2ebf679522eeba0968374b844b6891855ead60ae2e8

Observation 0fb64c41-fe28-4f03-a086-9ae8ee6e591c · 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 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 15

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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=sha256:8753143f2a38c11f2e42be3a3913710f5d10b502df53f48587540073388b80d7