Paper Citation Record · LEDGER

Variational OOD State Correction for Offline Reinforcement Learning

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.00503.

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

pith.paper-citation-record.v1
2505.00503 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:08.077256Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact2
verified fuzzy16
unresolved16
parse uncertain0
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External citation measurements

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Outbound references

Observation 9ef48b7a-14cd-479f-ab2e-d0d3145028b2 · outbound

This paper cites GPT-4 Technical Report.

Variational OOD State Correction for Offline Reinforcement Learning GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:07.965220Z

Source-reported events for the cited work

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Observation 99096310-b63b-46a7-a373-48b63db62b94 · outbound

This paper cites Learning markov state abstractions for deep reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning Learning markov state abstractions for deep reinforcement learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.400482Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31367436-eaa5-4c53-b449-1d95c54811b9 · outbound

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

Variational OOD State Correction for Offline Reinforcement Learning Uncertainty-based offline reinforcement learning with diversified q-ensemble

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.391492Z

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Observation dd567200-1253-42c1-9a0c-313ef739d610 · outbound

This paper cites Pessimistic bootstrapping for uncertainty-driven offline reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning Pessimistic bootstrapping for uncertainty-driven offline reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.382105Z

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Observation bc4da37b-efec-4f24-8847-de23489ccacf · outbound

This paper cites Label-noise robust logistic regression and its applications.

Variational OOD State Correction for Offline Reinforcement Learning Label-noise robust logistic regression and its applications

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.372433Z

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Observation 644e8d65-2e9b-424a-9f37-13d8059d9c18 · outbound

This paper cites Importance Weighted Autoencoders.

Variational OOD State Correction for Offline Reinforcement Learning Importance Weighted Autoencoders

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:07.983646Z

Source-reported events for the cited work

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Observation c74fccd9-e3bd-4b09-a8ff-dffe82f11d8f · outbound

This paper cites Tutorial on Variational Autoencoders.

Variational OOD State Correction for Offline Reinforcement Learning Tutorial on Variational Autoencoders

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:07.987957Z

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Observation 77265d7d-19f6-4a15-a776-b59715b6960a · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Variational OOD State Correction for Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:07.991451Z

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Observation e17f339a-c7d0-449b-8255-1e612dc0fda8 · outbound

This paper cites Off-policy deep reinforcement learning without exploration.

Variational OOD State Correction for Offline Reinforcement Learning Off-policy deep reinforcement learning without exploration

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.362697Z

Source-reported events for the cited work

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Observation aee7d1f4-b677-4eb2-892e-53ce6e4efd57 · outbound

This paper cites A comprehensive survey on safe reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning A comprehensive survey on safe reinforcement learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:07.998083Z

Source-reported events for the cited work

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Observation 05514fed-c6af-47bf-bfc3-e0f6155478a2 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

Variational OOD State Correction for Offline Reinforcement Learning Estimation of non-normalized statistical models by score matching

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:08.001245Z

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Observation fc48874b-b5b7-4575-aec1-3c9f4866fadb · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Variational OOD State Correction for Offline Reinforcement Learning Planning with Diffusion for Flexible Behavior Synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:08.008559Z

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Observation d3e7bd93-c663-4fc8-8a28-9a4b8ed1cabb · outbound

This paper cites Recovering from out-of-sample states via inverse dynamics in offline reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning Recovering from out-of-sample states via inverse dynamics in offline reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.342922Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a0d9678-f707-4c44-ba55-1a10b9a9fca4 · outbound

This paper cites an unresolved cited work.

Variational OOD State Correction for Offline Reinforcement Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:46:08.332759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc2807a4-8eb1-4fe9-9019-3ca614338c95 · outbound

This paper cites Scalable deep reinforcement learning for vision-based robotic manipulation.

Variational OOD State Correction for Offline Reinforcement Learning Scalable deep reinforcement learning for vision-based robotic manipulation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.323263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8fd905cf-c544-4936-8ada-8068da5e5e3c · outbound

This paper cites Lyapunov density models: Constraining distribution shift in learning-based control.

Variational OOD State Correction for Offline Reinforcement Learning Lyapunov density models: Constraining distribution shift in learning-based control

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.313028Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23404f0f-5c81-45da-8c2f-ba52a23a7863 · outbound

This paper cites Kingma and Max Welling.

Variational OOD State Correction for Offline Reinforcement Learning Kingma and Max Welling

Reference 17

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Observation 85b7faeb-8dbe-47b5-8987-fdfc68a02a9c · outbound

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

Variational OOD State Correction for Offline Reinforcement Learning Conservative q-learning for offline reinforcement learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.297346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 397c65bb-9786-48bd-899d-038cbc8dda7c · outbound

This paper cites Batch reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning Batch reinforcement learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:08.030931Z

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Observation c9ada6e4-f5ef-48db-9be9-6964eee85dc7 · outbound

This paper cites Supported value regularization for offline reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning Supported value regularization for offline reinforcement learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.280727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0aae39b5-9e6a-454d-94cf-706f7adb7df4 · outbound

This paper cites Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression.

Variational OOD State Correction for Offline Reinforcement Learning Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:46:08.144011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e559b6e-9885-4097-9294-ffad781c7a30 · outbound

This paper cites Human-level control through deep reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning Human-level control through deep reinforcement learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:08.040956Z

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Observation 092274a0-d39b-42ab-a467-a2bc360b27fc · outbound

This paper cites Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.265226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e98c70ba-ad82-4ed3-b7b0-01ac023280e3 · outbound

This paper cites Mastering the game of go without human knowledge.

Variational OOD State Correction for Offline Reinforcement Learning Mastering the game of go without human knowledge

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:08.046845Z

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Observation 34534397-3fd8-466f-b144-d77d96c76e07 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Variational OOD State Correction for Offline Reinforcement Learning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:08.049612Z

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Observation 0d1d9d1b-7911-43d5-bc75-7ddcca1d3607 · outbound

This paper cites Robust distance metric learning in the presence of label noise.

Variational OOD State Correction for Offline Reinforcement Learning Robust distance metric learning in the presence of label noise

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.249511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83c57b72-b982-4f67-bfa2-35f8d884eb2f · outbound

This paper cites an unresolved cited work.

Variational OOD State Correction for Offline Reinforcement Learning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:46:08.238963Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43b9d0b8-28e4-46c7-aa6e-fba8f1034228 · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

Variational OOD State Correction for Offline Reinforcement Learning Behavior Regularized Offline Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:08.058685Z

Source-reported events for the cited work

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Observation 13475ed8-4071-40a5-bbb8-dbfd4fe2687d · outbound

This paper cites Supported policy optimization for offline reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning Supported policy optimization for offline reinforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.229077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1999d70c-3f12-4a5c-b282-7d01cecce048 · outbound

This paper cites RORL: Robust Offline Reinforcement Learning via Conservative Smoothing.

Variational OOD State Correction for Offline Reinforcement Learning RORL: Robust Offline Reinforcement Learning via Conservative Smoothing

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:46:08.113098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a879cd6a-38f7-4ccf-a223-a454c0989d89 · outbound

This paper cites An implicit trust region approach to behavior regularized offline reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning An implicit trust region approach to behavior regularized offline reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.218677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ea89976-a352-4dfa-b40c-aba3d976a6fe · outbound

This paper cites State deviation correction for offline reinforcement learning.

Variational OOD State Correction for Offline Reinforcement Learning State deviation correction for offline reinforcement learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.208816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9840f7b5-c279-4ecf-aa8d-79d284f69b90 · outbound

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

Variational OOD State Correction for Offline Reinforcement Learning Constrained policy optimization with explicit behavior density for offline reinforcement learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:46:08.199344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85c0bc90-d052-4f8d-b25f-85ed27f8bca7 · outbound

This paper cites write newline.

Variational OOD State Correction for Offline Reinforcement Learning write newline

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:08.077256Z

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Pith citing papers

No inbound Pith citation observations are available.