Paper Citation Record · LEDGER

Generative OOD-regularized Model-based Policy Optimization

As of 20 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2605.24405.

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

pith.paper-citation-record.v1
2605.24405 v1

Coverage vector

measured 50 of 50 reference resolution

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measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5da9fbb1-23a1-4d1c-9df8-67cd4e55fdf5 · outbound

This paper cites Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows.

Generative OOD-regularized Model-based Policy Optimization Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Reference 1

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Observation 815bfa80-503a-4d90-b418-f8c8140a4d57 · outbound

This paper cites Uncertainty-based offline reinforcement learning with diversified q-ensemble.

Generative OOD-regularized Model-based Policy Optimization Uncertainty-based offline reinforcement learning with diversified q-ensemble

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.473542Z

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Observation 1ae7f9f9-2fec-4e66-a50a-ab00a8ea0a59 · outbound

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Generative OOD-regularized Model-based Policy Optimization Unresolved cited work

Reference 3

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Observation 409da6ff-7cb4-4d19-b73b-a914f7ad825d · outbound

This paper cites Offline RL without off-policy evaluation.

Generative OOD-regularized Model-based Policy Optimization Offline RL without off-policy evaluation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.452180Z

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Observation 110cdc87-56f5-4778-8bb2-e376dc65e117 · outbound

This paper cites Schoellig.

Generative OOD-regularized Model-based Policy Optimization Schoellig

Reference 5

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Observation 36bda10e-673c-45d9-8f79-c5a040e5eb4e · outbound

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Generative OOD-regularized Model-based Policy Optimization Unresolved cited work

Reference 6

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Observation 8480ee01-8411-4721-bfdf-227ad0f7c446 · outbound

This paper cites Importance weighted autoencoders.

Generative OOD-regularized Model-based Policy Optimization Importance weighted autoencoders

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.448541Z

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Observation 87b23479-b65d-424f-9e2a-99d2e938b07a · outbound

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Generative OOD-regularized Model-based Policy Optimization Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation a1463f6a-0ca5-4bd2-bfc1-c1dde5bb7794 · outbound

This paper cites Mag- netic control of tokamak plasmas through deep reinforcement learning.Nature, 602(7897):414– 419, 2022.

Generative OOD-regularized Model-based Policy Optimization Mag- netic control of tokamak plasmas through deep reinforcement learning.Nature, 602(7897):414– 419, 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.403179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 24d483c9-3e2f-470c-8e1b-b7d5c0efe65b · outbound

This paper cites Density estimation using real nvp.

Generative OOD-regularized Model-based Policy Optimization Density estimation using real nvp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.398420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af786078-ac63-4022-af98-4786245712e4 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Generative OOD-regularized Model-based Policy Optimization An image is worth 16x16 words: Transformers for image recognition at scale

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.392577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78686516-463e-48b4-a6d9-67d11bd44adf · outbound

This paper cites Reinforce- ment learning for precision oncology.Cancers, 13(18):4624, 2021.

Generative OOD-regularized Model-based Policy Optimization Reinforce- ment learning for precision oncology.Cancers, 13(18):4624, 2021

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.394525Z

Source-reported events for the cited work

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Observation 39d684e0-5431-4793-a4a7-9971d538a42d · outbound

This paper cites D4RL: Datasets for deep data-driven reinforcement learning.

Generative OOD-regularized Model-based Policy Optimization D4RL: Datasets for deep data-driven reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.396450Z

Source-reported events for the cited work

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Observation b980eb7d-833c-46b2-bd15-e9963f6a5b42 · outbound

This paper cites Benchmarking Batch Deep Reinforcement Learning Algorithms.

Generative OOD-regularized Model-based Policy Optimization Benchmarking Batch Deep Reinforcement Learning Algorithms

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-30T14:44:45.094477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f649f1c9-e03e-426e-a981-2f38c120a5da · outbound

This paper cites Mean flows for one-step generative modeling.

Generative OOD-regularized Model-based Policy Optimization Mean flows for one-step generative modeling

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.441162Z

Source-reported events for the cited work

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Observation 5625a248-8d3e-493e-b7af-c87c40eac2ac · outbound

This paper cites Denoising diffusion probabilistic models.

Generative OOD-regularized Model-based Policy Optimization Denoising diffusion probabilistic models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.461258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbd8e80c-1fd8-4bc3-bb6b-72085d9702d9 · outbound

This paper cites Planning with diffusion for flexible behavior synthesis.

Generative OOD-regularized Model-based Policy Optimization Planning with diffusion for flexible behavior synthesis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.469656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 732dfd34-08c6-44bc-bf88-33d46d64abad · outbound

This paper cites When to trust your model: Model- based policy optimization.

Generative OOD-regularized Model-based Policy Optimization When to trust your model: Model- based policy optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.471440Z

Source-reported events for the cited work

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Observation aaf15b7c-15b5-4e62-9ac6-55f255c4574f · outbound

This paper cites Billion-scale similarity search with gpus.IEEE Transactions on Big Data, 7(3):535–547.

Generative OOD-regularized Model-based Policy Optimization Billion-scale similarity search with gpus.IEEE Transactions on Big Data, 7(3):535–547

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.476215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e23226c3-83a3-4261-b7f0-c109214678f1 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Generative OOD-regularized Model-based Policy Optimization Elucidating the design space of diffusion-based generative models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.484594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 485d9e79-6ca2-472c-8fbd-b2133e0efdc9 · outbound

This paper cites Kingma and Max Welling.

Generative OOD-regularized Model-based Policy Optimization Kingma and Max Welling

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.464840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 031648cf-0cc8-42f7-b7ae-4295c46a05e6 · outbound

This paper cites Celi, Omar Badawi, Anthony C.

Generative OOD-regularized Model-based Policy Optimization Celi, Omar Badawi, Anthony C

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.456771Z

Source-reported events for the cited work

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Observation 415afcb8-c957-426d-89dc-0aee7ba50b2a · outbound

This paper cites Stabilizing off-policy q-learning via bootstrapping error reduction.

Generative OOD-regularized Model-based Policy Optimization Stabilizing off-policy q-learning via bootstrapping error reduction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.458472Z

Source-reported events for the cited work

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Observation 6e63e8b0-fa8d-42e9-ad6f-f610a13b490d · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

Generative OOD-regularized Model-based Policy Optimization Conservative q-learning for offline reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.467787Z

Source-reported events for the cited work

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Observation 9e9c12a0-3b45-43a9-b4ed-33279d2f0698 · outbound

This paper cites Showing your offline reinforcement learning work: Online evaluation budget matters.

Generative OOD-regularized Model-based Policy Optimization Showing your offline reinforcement learning work: Online evaluation budget matters

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.450402Z

Source-reported events for the cited work

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Observation d89c11cb-c5f3-4f10-93a1-63a1a7538f8e · outbound

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Generative OOD-regularized Model-based Policy Optimization Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-07-08T22:05:43.454974Z

Source-reported events for the cited work

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Observation b9d4efb0-dea8-4f77-b433-90cf08fa6671 · outbound

This paper cites Mitigating distribution shift in model-based offline RL via shifts-aware reward learning, 2024.

Generative OOD-regularized Model-based Policy Optimization Mitigating distribution shift in model-based offline RL via shifts-aware reward learning, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.436942Z

Source-reported events for the cited work

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Observation d8b49539-b33a-4b06-ad1e-650a06a351cb · outbound

This paper cites Supported value regular- ization for offline reinforcement learning.

Generative OOD-regularized Model-based Policy Optimization Supported value regular- ization for offline reinforcement learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.432925Z

Source-reported events for the cited work

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Observation 278b5253-d003-4191-ad0f-1e872e034493 · outbound

This paper cites Normalizing flows for inter- ventional density estimation.

Generative OOD-regularized Model-based Policy Optimization Normalizing flows for inter- ventional density estimation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.434732Z

Source-reported events for the cited work

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Observation dc2076db-7f1a-44f6-a670-a27b753b92ac · outbound

This paper cites Model-based offline reinforcement learning with lower expectile q-learning.

Generative OOD-regularized Model-based Policy Optimization Model-based offline reinforcement learning with lower expectile q-learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.427151Z

Source-reported events for the cited work

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Observation 1838f28c-ecc1-4ec2-b313-2b9ab54d917e · outbound

This paper cites Scalable diffusion models with transformers.

Generative OOD-regularized Model-based Policy Optimization Scalable diffusion models with transformers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.425844Z

Source-reported events for the cited work

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Observation b0eb3366-c4a0-4426-8eed-e6f0d08e6f09 · outbound

This paper cites Continuous state-space models for optimal sepsis treatment: A deep reinforcement learning approach.

Generative OOD-regularized Model-based Policy Optimization Continuous state-space models for optimal sepsis treatment: A deep reinforcement learning approach

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.419696Z

Source-reported events for the cited work

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Observation 01996bc2-7e99-43ad-91f5-baade0ce607b · outbound

This paper cites Variational inference with normalizing flows.

Generative OOD-regularized Model-based Policy Optimization Variational inference with normalizing flows

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.414161Z

Source-reported events for the cited work

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Observation f8c537de-953a-4ad5-9b81-7cf661a90b40 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Generative OOD-regularized Model-based Policy Optimization High- resolution image synthesis with latent diffusion models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.416060Z

Source-reported events for the cited work

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Observation a0edb121-1f3f-4cfe-b5c4-6b04e730150b · outbound

This paper cites Kauffmann, Robert A.

Generative OOD-regularized Model-based Policy Optimization Kauffmann, Robert A

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.417902Z

Source-reported events for the cited work

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Observation c9558b8b-3788-4163-ae5c-510a90d68115 · outbound

This paper cites Denoising diffusion implicit models.

Generative OOD-regularized Model-based Policy Optimization Denoising diffusion implicit models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.421560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 79ee89e0-5f82-4ed6-bf67-f95fce87043e · outbound

This paper cites Model-Bellman inconsistency for model-based offline reinforcement learning.

Generative OOD-regularized Model-based Policy Optimization Model-Bellman inconsistency for model-based offline reinforcement learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.410460Z

Source-reported events for the cited work

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Observation db7f256e-795c-47f0-9337-c553b3206a24 · outbound

This paper cites Machine learning and imaging informatics in oncology.Oncology, 98(6):344–362, 2020.

Generative OOD-regularized Model-based Policy Optimization Machine learning and imaging informatics in oncology.Oncology, 98(6):344–362, 2020

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.408728Z

Source-reported events for the cited work

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Observation 30f492f5-f168-425f-98c9-20c7bda894ca · outbound

This paper cites Guardian-regularized safe offline reinforcement learning for smart weaning of mechanical circulatory devices, 2025.

Generative OOD-regularized Model-based Policy Optimization Guardian-regularized safe offline reinforcement learning for smart weaning of mechanical circulatory devices, 2025

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.412241Z

Source-reported events for the cited work

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Observation 3e14cfd4-70a9-452f-bc51-638be52211bd · outbound

This paper cites Cardiogenic shock.Journal of the American Heart Association, 8(8):e011991, 2019.

Generative OOD-regularized Model-based Policy Optimization Cardiogenic shock.Journal of the American Heart Association, 8(8):e011991, 2019

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.422528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 862ca1ce-18b3-47ad-8dd7-b1ccb990482e · outbound

This paper cites Diffusion policies as an expressive policy class for offline reinforcement learning.

Generative OOD-regularized Model-based Policy Optimization Diffusion policies as an expressive policy class for offline reinforcement learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.439568Z

Source-reported events for the cited work

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Observation 63ae57bb-51c3-4a55-9b85-2078c624801c · outbound

This paper cites Supported policy optimization for offline reinforcement learning.

Generative OOD-regularized Model-based Policy Optimization Supported policy optimization for offline reinforcement learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.463214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9cb0c757-26ed-42f2-8b43-f52cf478019d · outbound

This paper cites Behavior regularized offline reinforcement learning.

Generative OOD-regularized Model-based Policy Optimization Behavior regularized offline reinforcement learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.482074Z

Source-reported events for the cited work

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Observation 370656b6-dd92-43e4-b3af-3251b060d561 · outbound

This paper cites an unresolved cited work.

Generative OOD-regularized Model-based Policy Optimization Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-07-08T22:05:43.405105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 55939b37-5cc0-4ea5-babb-00f5eedb4fdd · outbound

This paper cites Offline guarded safe reinforcement learning for medical treatment optimization strategies.

Generative OOD-regularized Model-based Policy Optimization Offline guarded safe reinforcement learning for medical treatment optimization strategies

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.400971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1719358a-f680-4cff-a2dc-f916963b39a2 · outbound

This paper cites Zou, Sergey Levine, Chelsea Finn, and Tengyu Ma.

Generative OOD-regularized Model-based Policy Optimization Zou, Sergey Levine, Chelsea Finn, and Tengyu Ma

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.406902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7dd0404-017f-4725-b0b3-0ed8cbc57aea · outbound

This paper cites Deep structured energy based models for anomaly detection.

Generative OOD-regularized Model-based Policy Optimization Deep structured energy based models for anomaly detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.388823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f27471e-6c22-443b-9015-3e998df676bf · outbound

This paper cites Constrained policy optimization with explicit behavior density for offline reinforcement learning.

Generative OOD-regularized Model-based Policy Optimization Constrained policy optimization with explicit behavior density for offline reinforcement learning

Reference 48

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T22:05:43.430939Z

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Observation 524f01bc-e6fe-4e20-afa5-c28fba37b466 · outbound

This paper cites OOD datasets.

Generative OOD-regularized Model-based Policy Optimization OOD datasets

Reference 49

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T22:05:43.443307Z

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Observation 9230c225-c12b-4c11-9565-d51d1a1fb477 · outbound

This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.

Generative OOD-regularized Model-based Policy Optimization Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:05:43.390670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.