Paper Citation Record · LEDGER

Domain Adversarial Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.07097.

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

pith.paper-citation-record.v1
2102.07097 v1

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 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:02:31.118042Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:26:26.924666Z

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 3e7c429f-d017-47cc-9447-be38af92da83 · inbound

Scaling Robot Learning with Semantically Imagined Experience cites this paper.

Scaling Robot Learning with Semantically Imagined Experience Domain Adversarial Reinforcement Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T18:59:10.594115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8dc583ee-e407-4d9b-9f6e-641e5e30e96b · inbound

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen) cites this paper.

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen) Domain Adversarial Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T00:02:31.118042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944eb4d9-f698-47df-a00b-58cf88a6af1f · inbound

State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning cites this paper.

State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning Domain Adversarial Reinforcement Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:24:18.218648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c2705f6c-34e2-4ec9-89f9-3f6d20094304 · inbound

State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning cites this paper.

State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning Domain Adversarial Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T18:30:48.426006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13dc72bf-aea7-480a-9314-984820262187 · inbound

Reinforcement Learning from Cross-domain Videos with Video Prediction Model cites this paper.

Reinforcement Learning from Cross-domain Videos with Video Prediction Model Domain Adversarial Reinforcement Learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:26:26.926500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.