Paper Citation Record · LEDGER

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.04561.

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

pith.paper-citation-record.v1
2210.04561 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:48:43.611443Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:16:28.960890Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d9ecccd5-be49-4958-a438-f42c4c0fc920 · inbound

Latent Action Learning Requires Supervision in the Presence of Distractors cites this paper.

Latent Action Learning Requires Supervision in the Presence of Distractors A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.030415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51bcdc9a-5394-4412-932f-b6e6ec3ea9ff · inbound

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

A Survey of State Representation Learning for Deep Reinforcement Learning A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:40.091630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4489d9e6-4c8d-45d0-8dff-b0fe0dc6837e · inbound

Taming Data Challenges in ML-based Security Tasks Using Generative AI cites this paper.

Taming Data Challenges in ML-based Security Tasks Using Generative AI A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:16:28.969961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 11ba5a13-27d9-4a8a-9098-e9b6fbb2c8b6 · inbound

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.611443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.