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Paper Citation Record · LEDGER

Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2006.12862.

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

pith.paper-citation-record.v1
2006.12862 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:29:32.001966Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:06:25.309529Z

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 e732fcac-960b-42b0-9ff8-34a8dfdfebb3 · inbound

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation cites this paper.

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T23:29:32.001966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:29:32.001966Z digest=sha256:c133f72b138f9eff4c9e714ed468b2596272c00f31e95ad742f808a143179427

Observation c8dfa70e-67b0-4ca3-9f74-5b5217a8ddc4 · inbound

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors cites this paper.

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T21:03:11.563232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:11.563232Z digest=sha256:7302880dab2aef419f91871156b85415e726945c052e25bd12c46fd4488d8d50

Observation 55abfbbe-c184-4cb9-8ee9-edf199a201e8 · inbound

Zero-Shot Reinforcement Learning Under Partial Observability cites this paper.

Zero-Shot Reinforcement Learning Under Partial Observability Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T19:37:29.829176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:37:29.829176Z digest=sha256:4c8f1e492656457520be901e9bf5d05a68e65eb35c78d02e709cc5127ba9d4fe

Observation 4e94b1d1-de6c-483e-96ce-2734cdd769c1 · inbound

rQdia: Regularizing Q-Value Distributions With Image Augmentation cites this paper.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:30:08.286297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:08.286297Z digest=sha256:c8a9bc172453d96ea638f9fe64108110e07765b516f82f0eb639e3143fc02a45

Observation 76b965cb-11ee-4261-ad4c-0e4ac6aa5711 · inbound

Reinforcing Multimodal Reasoning Against Visual Degradation cites this paper.

Reinforcing Multimodal Reasoning Against Visual Degradation Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:06:25.315695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T04:37:21.451146Z digest=sha256:9a8940e4f82b725c2e5c16e1fca7f73a609bafe8ae2a4335bb606ab07aefb9fc