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Paper Citation Record · LEDGER

RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.09001.

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

pith.paper-citation-record.v1
2006.09001 v1

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 2026-08-08T00:03:16.685912Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:16:16.768632Z

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 94bd57ac-4eb5-4499-9d6e-345c6ccb8731 · inbound

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards cites this paper.

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:16.685912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:16.685912Z digest=sha256:674e4223f44980dee35e931321724977118ec247445854ef16b8fa8f32f148f7

Observation 6a302aa6-e3fd-41c2-aa0d-3958746e6e60 · inbound

Case Studies of Generative Machine Learning Models for Dynamical Systems cites this paper.

Case Studies of Generative Machine Learning Models for Dynamical Systems RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:01:47.577078Z

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=2026-08-06T00:01:46.874688Z digest=sha256:43a3cbf6ebd718a25cd3cf07319e2d3dc21e29152f7e48f13766013f643f5116