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Paper Citation Record · LEDGER

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:40.091630Z

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 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.

source=arxiv_source observed=2026-08-06T23:34:40.091630Z digest=sha256:1eb01569f9d591c84c71ea70edb96df23cb0862a8d5db7663338998de22116de

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:16:28.522716Z digest=sha256:ef64c4324f348c0e9400297af0500b47a7adca45f7b8b14dfaea8b5d81ab3dae