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Paper Citation Record · LEDGER

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2004.13649.

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

pith.paper-citation-record.v1
2004.13649 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:56:45.380784Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:19:57.605299Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a5d6b5d5-3e71-4353-93bc-0735f2e60e55 · inbound

Mastering Atari with Discrete World Models cites this paper.

Mastering Atari with Discrete World Models Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 33

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verified exact
arxiv_id, observed 2026-05-15T01:27:31.974072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a074b433-0ce0-462a-a854-db05dcc77bb2 · inbound

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation cites this paper.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 85

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verified exact
arxiv_id, observed 2026-05-13T08:51:56.033573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T08:51:55.826747Z digest=sha256:dac21f4effe33d764b6430904edd1d1e533f93b3dc6d265d8a97b98c8e18e627

Observation b66a7d6e-d9fe-48d0-a999-f7ce926a3a94 · inbound

R3M: A Universal Visual Representation for Robot Manipulation cites this paper.

R3M: A Universal Visual Representation for Robot Manipulation Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 27

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arxiv_id, observed 2026-05-15T13:26:54.026852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T13:26:53.843613Z digest=sha256:67238570b5c101eb5df8d49363d3467a9ae5db86522cbff4a9ee170c9bfbd0bf

Observation 7aa0f3ea-8642-4b66-85c3-9d78891a0421 · inbound

Scaling Robot Learning with Semantically Imagined Experience cites this paper.

Scaling Robot Learning with Semantically Imagined Experience Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 37

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verified exact
arxiv_id, observed 2026-05-17T18:59:10.566167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T18:59:10.352342Z digest=sha256:6a314200dec73f76aff16ecc0030de14c6fd8a9c9ed177fea1f44144528b83f7

Observation 3f4dd20e-870c-4fc0-8140-5ce6b30ed88f · inbound

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations cites this paper.

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-17T09:47:55.194938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T09:47:54.977716Z digest=sha256:b9cfdce10416aa9897f5e54a5849d6c8133c0aca94060df7bc1ba53bd295d9df

Observation 0556c2e6-7675-44f0-9a6d-b50a7998992a · inbound

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder cites this paper.

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 32

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unresolved
no resolver link, observed 2026-08-08T18:56:45.380784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:56:45.380784Z digest=sha256:57475b6560adc08fc87131785b4262fe6364d6c920745df5d41b6a3a2aa4aa83

Observation 0b377d3d-6be3-4aa6-b19d-e7f2245a7783 · inbound

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners cites this paper.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 55

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unresolved
no resolver link, observed 2026-08-07T12:58:49.816226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:58:49.816226Z digest=sha256:20902ea5e7ea105d2032ffcf5ed47219c360248d51277c78689e0ab7f2976e7a

Observation 23313871-29ad-4bee-902d-52e01891d8c7 · inbound

Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning cites this paper.

Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 12

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unresolved
no resolver link, observed 2026-08-07T10:47:32.879690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:47:32.879690Z digest=sha256:e714e14c59090724f30521dc4bcdb1173fd571da784ab02e8475746d7ca61d7e

Observation ca15b58e-d58a-4a32-aa83-847b42d67ad9 · inbound

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions cites this paper.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 24

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no resolver link, observed 2026-08-07T10:46:33.386425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:46:33.386425Z digest=sha256:b72b28a53c3b7c844893f666e28629eeb188f8c59e5796a64ad24a9a73bdb09d

Observation 8fe5094d-cd03-427a-a807-38d940521959 · inbound

A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.

A Survey of State Representation Learning for Deep Reinforcement Learning Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:39.216865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:34:39.216865Z digest=sha256:4faafdc154957c8587e5e3d6fd5946def6a2f353e3d02b131cf332be0d867471

Observation 85a4cff6-1ff4-4f37-870b-ba146cb08f52 · inbound

DeGuV: Depth-Guided Visual Reinforcement Learning for Generalization and Interpretability in Manipulation cites this paper.

DeGuV: Depth-Guided Visual Reinforcement Learning for Generalization and Interpretability in Manipulation Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T05:47:31.799324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:31.799324Z digest=sha256:a5820305c7ae70bf03a5d967cb4da3e4e6c018cbc06ef4e4cbc15850eaae6dbf

Observation fb75d86e-0878-4fe4-afb1-3eba75194c76 · inbound

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation cites this paper.

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:10:57.851295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T06:10:47.309028Z digest=sha256:2b46eef4258ec83a411b44431cf2c71abbe6b405c18a1a5637adbe4eee1cb7c6

Observation 50e030c6-0756-425a-9b08-3a9101d296d6 · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:21:47.386273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T02:53:39.060764Z digest=sha256:6444ae494108b056c67b2e3cdb93aa9b89fb7c59afbd4053c92848f663a8b52c

Observation 20e3d31d-9519-4465-99e0-61f169c56f3b · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.816695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:e371de87f24b7ba1b2176290f50f50e193dd2b044bf980f9f99d1bd564c52ed6

Observation a351f6e8-8563-4851-9abc-d0f3212719d3 · inbound

Trading Human Curation for Synthetic Augmentation in RLVR cites this paper.

Trading Human Curation for Synthetic Augmentation in RLVR Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:16:26.237481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T11:10:06.685591Z digest=sha256:c0f3b574a883177fdf427ad46fc77ef848b68050217981fa1a3bb97b8faf20c7

Observation e72fd577-6a60-47e0-b730-5d8848deae4d · inbound

Trading Human Curation for Synthetic Augmentation in RLVR cites this paper.

Trading Human Curation for Synthetic Augmentation in RLVR Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 24

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unresolved
no resolver link, observed 2026-07-12T15:15:09.675778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:15:09.675778Z digest=sha256:2fbac73b0b5e70a75e6c2d8f2f633ec9fc01613e0e85008800600ed637008443

Observation fd54d076-d0ae-4d1e-90af-3b63e0153422 · inbound

Sensorimotor World Models: Perception for Action via Inverse Dynamics cites this paper.

Sensorimotor World Models: Perception for Action via Inverse Dynamics Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:09:30.300414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T18:21:51.580903Z digest=sha256:523a43ba3ee11945f69cdff787ffb67200c42c523fe128293044da2071823b55

Observation eaa4eb27-00b7-4c0f-b82f-df82a11b5953 · inbound

MinInter: Minimizing Trajectory Interpolation During Data Augmentation for Imitation Learning cites this paper.

MinInter: Minimizing Trajectory Interpolation During Data Augmentation for Imitation Learning Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 9

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verified exact
arxiv_id, observed 2026-07-04T16:19:57.606865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c70d9a06-7b90-4fe6-88af-40398c4dac2b · inbound

SymmGrid: Super-Scaling On-Robot Learning with Parallelized Symmetries and Egocentric-Exocentric Visual Perception cites this paper.

SymmGrid: Super-Scaling On-Robot Learning with Parallelized Symmetries and Egocentric-Exocentric Visual Perception Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 6

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unresolved
no resolver link, observed 2026-07-30T14:59:22.311262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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