Paper Citation Record · LEDGER

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

As of 22 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 9 inbound Pith citation observations for arXiv:2502.02316.

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

pith.paper-citation-record.v1
2502.02316 v2

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:38:14.369887Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:28:41.716079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:43.293825Z

Reference resolution

79 of 79 outbound references displayed

verified exact0
verified fuzzy32
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 203afd33-f713-4722-bd17-58eab248641f · outbound

This paper cites write newline.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning write newline

Reference 1

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Source-reported events for the cited work

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Observation 0b88acfd-b643-49d0-81f6-9cd71d0fb879 · outbound

This paper cites an unresolved cited work.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work

Reference 2

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Source-reported events for the cited work

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Observation ee4f3bbf-ae68-44f5-bb53-dff5915592a1 · outbound

This paper cites S., Courville, A.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning S., Courville, A

Reference 3

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Source-reported events for the cited work

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Observation 3a48d042-edd4-4ae0-9f7f-5076055408ed · outbound

This paper cites Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Iterated Denoising Energy Matching for Sampling from Boltzmann Densities

Reference 4

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Observation 1ec41a2f-6a9f-44b1-9967-682e6019bcb6 · outbound

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work

Reference 5

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Observation acf952e3-931d-467a-b8c5-3b34a8ce8f42 · outbound

This paper cites Efficient gradient-free variational inference using policy search.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Efficient gradient-free variational inference using policy search

Reference 6

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Observation 0a0eb642-e926-44f4-b258-70818517bb84 · outbound

This paper cites G., Dabney, W., and Munos, R.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning G., Dabney, W., and Munos, R

Reference 7

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Source-reported events for the cited work

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Observation 1e46971f-fe93-4dee-908a-e3e3943f2acc · outbound

This paper cites An optimal control perspective on diffusion-based generative modeling.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning An optimal control perspective on diffusion-based generative modeling

Reference 8

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Observation c8944175-5d6f-43dd-9944-97d74e1ce9ff · outbound

This paper cites Crossq: Batch normalization in deep reinforcement learning for greater sample efficiency and simplicity.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Crossq: Batch normalization in deep reinforcement learning for greater sample efficiency and simplicity

Reference 9

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Observation 24adc66f-f8fd-4d60-9a19-b4e0607a3011 · outbound

This paper cites Underdamped diffusion bridges with applications to sampling.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Underdamped diffusion bridges with applications to sampling

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:15.111698Z

Source-reported events for the cited work

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Observation 33f623d8-5a90-49f1-b532-dcf9af660a1f · outbound

This paper cites End-to-end learning of gaussian mixture priors for diffusion sampler.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning End-to-end learning of gaussian mixture priors for diffusion sampler

Reference 11

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Observation 6df01a18-2c97-49ef-bbbd-a2ed5019a634 · outbound

This paper cites Openai gym, 2016.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Openai gym, 2016

Reference 12

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Source-reported events for the cited work

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Observation ce76b231-caf9-4a2b-8ba3-cd28ad1c8ff1 · outbound

This paper cites Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities

Reference 13

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Observation af2db694-a77b-4c8a-be46-091df0cbb3a6 · outbound

This paper cites Offline reinforcement learning via high-fidelity generative behavior modeling.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Offline reinforcement learning via high-fidelity generative behavior modeling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:15.075686Z

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Observation 463b306f-e696-4d5d-a00e-8141d85cd41a · outbound

This paper cites Sequential Controlled Langevin Diffusions.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Sequential Controlled Langevin Diffusions

Reference 15

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Observation 656a7fcb-641d-49db-a591-b4ae7eeadf75 · outbound

This paper cites Sequential controlled langevin diffusions.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Sequential controlled langevin diffusions

Reference 16

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Source-reported events for the cited work

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Observation af58e749-21bc-44d5-9cb4-7d66cd8c2d97 · outbound

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

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion policy: Visuomotor policy learning via action diffusion

Reference 17

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Observation 8be1a765-d9d0-4d70-8b05-ad06f40602ae · outbound

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7279a3d-3df2-4438-bbbe-ad2886b1b3e9 · outbound

This paper cites A stochastic control approach to reciprocal diffusion processes.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning A stochastic control approach to reciprocal diffusion processes

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:15.038657Z

Source-reported events for the cited work

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Observation e5e22f54-b8a5-40ec-8f10-5b7533763a68 · outbound

This paper cites Sequential monte carlo samplers.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Sequential monte carlo samplers

Reference 20

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Observation 44b83fed-ed29-42bb-9776-08a3c386a602 · outbound

This paper cites Diffusion-based reinforcement learning via q-weighted variational policy optimization.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion-based reinforcement learning via q-weighted variational policy optimization

Reference 21

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Observation 38113b63-1b87-44a1-9ff4-3a91fb5f4048 · outbound

This paper cites and Jin, C.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Jin, C

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:15.000021Z

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Observation 4e73b97f-d16e-44bc-8199-27bacc96820a · outbound

This paper cites G., and Strathmann, H.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning G., and Strathmann, H

Reference 23

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Source-reported events for the cited work

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Observation 7c606447-b7d7-4c41-a6fb-043a47e367a8 · outbound

This paper cites Diffusion actor-critic: Formulating constrained policy iteration as diffusion noise regression for offline reinforcement learning.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion actor-critic: Formulating constrained policy iteration as diffusion noise regression for offline reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.977582Z

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Observation 9513d163-9d7d-4f26-9adf-765f629775ab · outbound

This paper cites and Domke, J.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Domke, J

Reference 25

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Observation f0559be9-0003-4eec-ac08-c22b2a65e4e7 · outbound

This paper cites Reinforcement learning with deep energy-based policies.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Reinforcement learning with deep energy-based policies

Reference 26

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Observation 27bf4433-5563-4170-8138-df713dab2298 · outbound

This paper cites Latent space policies for hierarchical reinforcement learning.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Latent space policies for hierarchical reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.953089Z

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Observation 9d579252-3905-44b2-9baa-656604c177a0 · outbound

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

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.942335Z

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Observation e8e530f3-f95b-423b-9935-697a180111ae · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Soft Actor-Critic Algorithms and Applications

Reference 29

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Observation 99b2ad79-7c1e-41aa-bb7f-361477653df9 · outbound

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

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 30

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work

Reference 31

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Observation b813972e-5a86-417c-8a3a-17c3f56d04a9 · outbound

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Denoising diffusion probabilistic models

Reference 32

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Schr{\"o}dinger-F{\"o}llmer Sampler: Sampling without Ergodicity

Reference 33

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Dayan, P

Reference 34

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning N., and Precup, D

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.906381Z

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Observation e7811df2-12a0-49fb-85f8-da4e426314a7 · outbound

This paper cites Planning with diffusion for flexible behavior synthesis.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Planning with diffusion for flexible behavior synthesis

Reference 36

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Efficient diffusion policies for offline reinforcement learning

Reference 37

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Observation 4a3676ed-ea1c-434d-bd8f-eb1b1a52240f · outbound

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Elucidating the design space of diffusion-based generative models

Reference 38

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Auto-Encoding Variational Bayes

Reference 39

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Batch reinforcement learning

Reference 40

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Observation a4f75e3d-f77f-496d-b070-bb2927c87969 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 41

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning TOP - ERL : Transformer-based off-policy episodic reinforcement learning

Reference 42

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Observation 4809b0cd-c429-4c4f-b974-d3063e183d79 · outbound

This paper cites Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient

Reference 43

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Observation 87c1541d-f4e7-4906-affb-894f06ebfd19 · outbound

This paper cites Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning

Reference 44

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Observation dadef05a-23ca-40c2-a96b-e75e2feae13f · outbound

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning K., S nderby, S

Reference 45

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Observation 3e71aaa3-867c-479a-87cb-e80a15e5436f · outbound

This paper cites Diffusion-dice: In-sample diffusion guidance for offline reinforcement learning.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion-dice: In-sample diffusion guidance for offline reinforcement learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.827504Z

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Observation ee81219c-e089-40aa-86c3-9eda621f0f89 · outbound

This paper cites S 2 ac: Energy-based reinforcement learning with stein soft actor critic.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning S 2 ac: Energy-based reinforcement learning with stein soft actor critic

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.817002Z

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Observation ec591d77-e5aa-410d-9103-9717ef832ab5 · outbound

This paper cites and Cygan, M.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Cygan, M

Reference 48

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Observation 21ce8d20-963b-4570-b0b2-b1edcab3dbad · outbound

This paper cites Bigger, regularized, optimistic: scaling for compute and sample efficient continuous control.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Bigger, regularized, optimistic: scaling for compute and sample efficient continuous control

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.799394Z

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Observation 0d0cf4b9-2ca5-4469-9217-ad12a71951db · outbound

This paper cites Dynamical theories of Brownian motion, volume 101.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Dynamical theories of Brownian motion, volume 101

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.788288Z

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Observation 3e64df8a-1914-47a3-ae76-c34cd0f92849 · outbound

This paper cites A unified view of entropy-regularized Markov decision processes.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning A unified view of entropy-regularized Markov decision processes

Reference 51

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Observation faf27320-67d3-4d0b-9d64-e93315eb1116 · outbound

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning The primacy bias in deep reinforcement learning

Reference 52

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Observation 36c8d1e6-630b-49e8-904c-4fd4f53c5b79 · outbound

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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Learned Reference-based Diffusion Sampling for multi-modal distributions

Reference 53

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Observation 79dc8dc3-bef3-450e-8809-6ebb33be4dd1 · outbound

This paper cites Transport meets variational inference: Controlled monte carlo diffusions.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Transport meets variational inference: Controlled monte carlo diffusions

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.278880Z

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Observation 65b5d15c-9889-4cad-a67d-59fb089fc7c4 · outbound

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

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Learning a diffusion model policy from rewards via q-score matching

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.761370Z

Source-reported events for the cited work

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Observation a09c9356-1294-41c0-aced-32c735fcf081 · outbound

This paper cites Hierarchical variational models.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Hierarchical variational models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.748420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 48824140-2a73-4abc-8ac3-5b49f513846a · outbound

This paper cites Goal conditioned imitation learning using score-based diffusion policies.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Goal conditioned imitation learning using score-based diffusion policies

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.736983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf533dbe-5035-4d60-95d8-7fc5f0b1272a · outbound

This paper cites and Berner, J.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Berner, J

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.725710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8066ba5f-6ffb-4f13-aae4-5d5bfa5373fd · outbound

This paper cites and Solin, A.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Solin, A

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.296976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49810f60-65f7-42f6-be15-4089eae599a3 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Deep unsupervised learning using nonequilibrium thermodynamics

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.301800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a897596-edc0-4c6f-a83a-80b65c8d7af8 · outbound

This paper cites P., Kumar, A., Ermon, S., and Poole, B.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning P., Kumar, A., Ermon, S., and Poole, B

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.305552Z

Source-reported events for the cited work

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Observation 8a635f3c-89eb-4d7e-8911-58e4c8084279 · outbound

This paper cites an unresolved cited work.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.309171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 185596b5-8064-407d-b48a-2920076db62b · outbound

This paper cites Robot trajectory optimization using approximate inference.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Robot trajectory optimization using approximate inference

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.312599Z

Source-reported events for the cited work

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Observation 9763709c-6b80-4d9c-8840-3b43a1535995 · outbound

This paper cites The Variational Gaussian Process.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning The Variational Gaussian Process

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.316160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff43e272-9320-469a-8ee0-6c9e1396a6f4 · outbound

This paper cites dm\_control: Software and tasks for continuous control.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning dm\_control: Software and tasks for continuous control

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.320118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69b67f08-7650-40ed-a1b9-5f1687fedf9b · outbound

This paper cites and Raginsky, M.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Raginsky, M

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.323715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e46bd896-c502-4a9e-abb2-6eaf23ffb790 · outbound

This paper cites S., and Doucet, A.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning S., and Doucet, A

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.665066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c194d97-1288-425b-aac3-d239516cb03e · outbound

This paper cites u sken, N. Bayesian learning via neural schr \.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning u sken, N. Bayesian learning via neural schr \

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.653971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f4c3ba9-d9a9-40e2-a540-ad9028288e9b · outbound

This paper cites A connection between score matching and denoising autoencoders.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning A connection between score matching and denoising autoencoders

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.334714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a017ff77-6f1f-454f-b3f9-96bd28d87566 · outbound

This paper cites Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.338402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d88d61d6-91e0-4f62-bfc3-e70fa9569d23 · outbound

This paper cites an unresolved cited work.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-09T12:38:14.634493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9a98b497-f72f-4c08-a67e-62799cf7fc74 · outbound

This paper cites J., and Zhou, M.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning J., and Zhou, M

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.623216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27df332f-43c7-4b99-b0d4-4a8734bb82af · outbound

This paper cites and Teh, Y.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Teh, Y

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.349023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3a774b-37f9-490d-853f-abe83da17fb7 · outbound

This paper cites Policy Representation via Diffusion Probability Model for Reinforcement Learning.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Policy Representation via Diffusion Probability Model for Reinforcement Learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.352435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c586b889-f9f7-41f2-bae9-420dbd3113fb · outbound

This paper cites Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization

Reference 75

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T12:38:14.419170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d08cbb27-c32e-473a-908d-8bf8a07390c5 · outbound

This paper cites Path Integral Sampler: a stochastic control approach for sampling.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Path Integral Sampler: a stochastic control approach for sampling

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.360227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b879a459-e67a-4782-b1f2-ca061de9297b · outbound

This paper cites Variational distillation of diffusion policies into mixture of experts.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Variational distillation of diffusion policies into mixture of experts

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:38:14.604750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f801739-e362-4d39-832d-213bf9037dcb · outbound

This paper cites an unresolved cited work.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.366824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8be11c-3caf-4f86-8891-52385aa1d29e · outbound

This paper cites D., Maas, A.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning D., Maas, A

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.369887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 716b42f4-aae2-4756-8cff-99c54aa377b6 · inbound

Efficient Online Reinforcement Learning for Diffusion Policy cites this paper.

Efficient Online Reinforcement Learning for Diffusion Policy DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T19:28:41.716079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f41f3bf-524c-4d7d-b5ec-4ce13f26c927 · inbound

Exploratory Diffusion Model for Unsupervised Reinforcement Learning cites this paper.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T13:21:18.155791Z

Source-reported events for the cited work

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Observation 196e2f66-e015-4103-afdd-e02e0063ebff · inbound

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework cites this paper.

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T19:28:32.623166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1c6be2-7ef3-4375-abe0-0e9490bfdf28 · inbound

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

Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:15:38.660604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 05f10b2f-7194-469d-bc18-beb18aa47576 · inbound

Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning cites this paper.

Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T19:12:08.549060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 381c37d3-3f20-4a73-ad9e-f78ea0c83536 · inbound

What Does Flow Matching Bring To TD Learning? cites this paper.

What Does Flow Matching Bring To TD Learning? DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:36:17.860115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7cac92bc-43fa-43a4-be54-8d13bcb37acb · inbound

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

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced346c7-6915-4d10-92b2-1a7f1e1466dc · inbound

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

GenPO++: Generative Policy Optimization with Jacobian-free Likelihood Ratios DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:08.518956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7de4cdf8-7b7b-45db-a400-1f8dc992d368 · inbound

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching cites this paper.

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.295757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.