Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:56:45.380784Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:19:57.605299Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation a5d6b5d5-3e71-4353-93bc-0735f2e60e55 · inbound
Mastering Atari with Discrete World Models Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 33
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.
Observation a074b433-0ce0-462a-a854-db05dcc77bb2 · inbound
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
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.
Observation b66a7d6e-d9fe-48d0-a999-f7ce926a3a94 · inbound
R3M: A Universal Visual Representation for Robot Manipulation Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 27
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.
Observation 7aa0f3ea-8642-4b66-85c3-9d78891a0421 · inbound
Scaling Robot Learning with Semantically Imagined Experience Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 37
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.
Observation 3f4dd20e-870c-4fc0-8140-5ce6b30ed88f · inbound
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
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.
Observation 0556c2e6-7675-44f0-9a6d-b50a7998992a · inbound
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b377d3d-6be3-4aa6-b19d-e7f2245a7783 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23313871-29ad-4bee-902d-52e01891d8c7 · inbound
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca15b58e-d58a-4a32-aa83-847b42d67ad9 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fe5094d-cd03-427a-a807-38d940521959 · inbound
A Survey of State Representation Learning for Deep Reinforcement Learning Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 78
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85a4cff6-1ff4-4f37-870b-ba146cb08f52 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb75d86e-0878-4fe4-afb1-3eba75194c76 · inbound
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
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.
Observation 50e030c6-0756-425a-9b08-3a9101d296d6 · inbound
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
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.
Observation 20e3d31d-9519-4465-99e0-61f169c56f3b · inbound
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
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.
Observation a351f6e8-8563-4851-9abc-d0f3212719d3 · inbound
Trading Human Curation for Synthetic Augmentation in RLVR Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 24
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.
Observation e72fd577-6a60-47e0-b730-5d8848deae4d · inbound
Trading Human Curation for Synthetic Augmentation in RLVR Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd54d076-d0ae-4d1e-90af-3b63e0153422 · inbound
Sensorimotor World Models: Perception for Action via Inverse Dynamics Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 42
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.
Observation eaa4eb27-00b7-4c0f-b82f-df82a11b5953 · inbound
MinInter: Minimizing Trajectory Interpolation During Data Augmentation for Imitation Learning Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Reference 9
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.
Observation c70d9a06-7b90-4fe6-88af-40398c4dac2b · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.