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Paper Citation Record · LEDGER

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.16090.

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

pith.paper-citation-record.v1
2607.16090 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:28:15.475264Z

measured 36 of 36 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 13e9cff9-cc29-4f1d-93ed-ecb8239ceaf9 · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: a survey,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Sim-to-real transfer in deep reinforcement learning for robotics: a survey,

Reference 1

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Observation fab31d8e-7175-45bd-af90-2706d3f1784d · outbound

This paper cites A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models

Reference 2

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Observation 7e7f6796-6be9-46c2-8694-d8d3763fe008 · outbound

This paper cites Cross-domain policy adaptation via value-guided data filtering,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Cross-domain policy adaptation via value-guided data filtering,

Reference 3

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Observation 2cfc9c8d-43dc-45d3-831b-729f463753eb · outbound

This paper cites Cross-Domain Policy Adaptation by Capturing Representation Mismatch.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Reference 4

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Observation 50ff98de-e947-4a68-a42d-94ae7e3e4413 · outbound

This paper cites Sim-to- real transfer of robotic control with dynamics randomization,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Sim-to- real transfer of robotic control with dynamics randomization,

Reference 5

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Observation 42bd4a18-288b-403c-bc35-f0cc644cebc3 · outbound

This paper cites Active domain randomization,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Active domain randomization,

Reference 6

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Observation 86ae8323-bfa1-4ee1-aeb1-4126fb4aec47 · outbound

This paper cites Flow-based domain randomization for learning and sequencing robotic skills,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Flow-based domain randomization for learning and sequencing robotic skills,

Reference 7

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Observation 05179d9e-a730-49fd-95cb-ca610be47ad7 · outbound

This paper cites Closing the sim-to-real loop: Adapting simula- tion randomization with real world experience,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Closing the sim-to-real loop: Adapting simula- tion randomization with real world experience,

Reference 8

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Observation 81679cff-648a-4f15-821a-0d5323e044cf · outbound

This paper cites Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 9

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source=pdf_text observed=2026-08-01T21:28:12.466094Z digest=sha256:172a5842cb92da2971688012d4fa0fe7c1c8be341dd568d5955834d6d942d27a

Observation c5dffb96-94ba-4fec-9642-e4cea986d45a · outbound

This paper cites Cross-domain policy adaptation by capturing representation mismatch,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Cross-domain policy adaptation by capturing representation mismatch,

Reference 10

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Observation 70a1383a-6958-4460-acda-42b8062bde88 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 11

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Observation 6ae36b03-ae7d-4ca2-9f8e-184bb1d745c4 · outbound

This paper cites Denoising diffusion probabilistic models,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Denoising diffusion probabilistic models,

Reference 12

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Observation d96018b7-c9d8-4db1-a0b9-c485c7fd7749 · outbound

This paper cites State regularized policy optimization on data with dynamics shift,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning State regularized policy optimization on data with dynamics shift,

Reference 13

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Observation b210eddf-bae2-4a70-85f0-1bf579aa0b5b · outbound

This paper cites Policy adaptation from foundation model feedback,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Policy adaptation from foundation model feedback,

Reference 14

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Observation 46aba1f9-7ad6-4d8d-a0b3-2dffc0f49207 · outbound

This paper cites Cross- domain reinforcement learning under distinct state-action spaces via hybrid q functions.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Cross- domain reinforcement learning under distinct state-action spaces via hybrid q functions

Reference 15

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Observation 2b5cd315-ee7d-4e0f-a8fc-3a4cc7c89521 · outbound

This paper cites Robust Visual Domain Randomization for Reinforcement Learning.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Robust Visual Domain Randomization for Reinforcement Learning

Reference 16

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Observation 29540d56-3d6e-4e2b-814d-73c850e838bf · outbound

This paper cites Variance reduced domain randomization for reinforcement learning with policy gradi- ent,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Variance reduced domain randomization for reinforcement learning with policy gradi- ent,

Reference 17

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Observation 7439fc17-c5ab-4736-86cd-bca1dd95c8b0 · outbound

This paper cites Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

Reference 18

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Observation 0380270d-a53e-4c38-a3f4-9e8e33d0166a · outbound

This paper cites Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning

Reference 19

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Observation d53f31fb-cf00-4511-a0dd-5f2313d10432 · outbound

This paper cites Cross-domain imitation from observations,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Cross-domain imitation from observations,

Reference 20

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Observation 6b362640-a724-42a3-a407-843f3a6d3053 · outbound

This paper cites Cross- domain imitation learning via optimal transport,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Cross- domain imitation learning via optimal transport,

Reference 21

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Observation 67647228-1e1d-4f09-8a92-ebc16229d47d · outbound

This paper cites Off-dynamics reinforce- ment learning via domain adaptation and reward augmented imitation,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Off-dynamics reinforce- ment learning via domain adaptation and reward augmented imitation,

Reference 22

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Observation 8019d70a-5651-43c9-ad82-224dee2c0b2e · outbound

This paper cites Policy Learning for Off-Dynamics RL with Deficient Support.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Policy Learning for Off-Dynamics RL with Deficient Support

Reference 23

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Observation a4535ce1-c27e-494c-bd81-208c3e88a284 · outbound

This paper cites Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning

Reference 24

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Observation dbf63394-979c-4e62-8a27-1e15494b9d66 · outbound

This paper cites Efficient diffusion policies for offline reinforcement learning,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Efficient diffusion policies for offline reinforcement learning,

Reference 25

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Observation a68fc35b-7b83-46c8-936a-6d6124469278 · outbound

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

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 26

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Observation 43f281fb-eda3-4d4e-9cb6-9aa444d12aea · outbound

This paper cites Synthetic experience replay,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Synthetic experience replay,

Reference 27

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Observation 27007d8b-332b-490c-9204-4ec514cc0fbd · outbound

This paper cites Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning,

Reference 28

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Observation 356b4e43-e4d4-4c26-acc5-4208647eba43 · outbound

This paper cites Diffusion actor-critic with entropy reg- ulator,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Diffusion actor-critic with entropy reg- ulator,

Reference 29

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Observation 5c31cf64-3ff8-4e26-a5ba-f4149b4bc0d3 · outbound

This paper cites Madiff: Offline multi-agent learning with diffusion models,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Madiff: Offline multi-agent learning with diffusion models,

Reference 30

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Observation 2757a530-bcbb-4643-8c50-4128015baaaa · outbound

This paper cites Dmc: Nearest neighbor guidance diffusion model for offline cross- domain reinforcement learning,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Dmc: Nearest neighbor guidance diffusion model for offline cross- domain reinforcement learning,

Reference 31

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Observation 0b793111-8f69-4b03-9f23-ccb2032c7b35 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Soft Actor-Critic Algorithms and Applications

Reference 32

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Observation 90530fc7-9249-4445-954b-2708076c0b9e · outbound

This paper cites Mujoco: A physics engine for model-based control,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Mujoco: A physics engine for model-based control,

Reference 33

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Observation 83d20bc9-9bfb-4856-82e0-87f2d275face · outbound

This paper cites OpenAI Gym.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning OpenAI Gym

Reference 34

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Observation 694a93c6-e7c4-4117-8ae2-8028d5a3a2cb · outbound

This paper cites Odrl: A benchmark for off-dynamics reinforcement learning,.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Odrl: A benchmark for off-dynamics reinforcement learning,

Reference 35

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Observation 52c40649-af1c-4ab9-9e9f-74619d1c96a5 · outbound

This paper cites Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Reference 36

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