Paper Citation Record · LEDGER

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2101.08452.

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

pith.paper-citation-record.v1
2101.08452 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:19:07.271250Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:55:00.845659Z

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 bfd34c65-561e-4b53-b2ea-562122a737f2 · inbound

Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning cites this paper.

Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T16:55:50.748765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b23fe12-f4b0-4877-b4f3-e0d6bae2dc9b · inbound

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning cites this paper.

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:25:20.324410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b9ecdb87-ee50-4795-8257-fb15e3942fd9 · inbound

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning cites this paper.

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:54.213230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d01ebd-d99f-4d4e-b4d6-7d08a6ec9c91 · inbound

Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning cites this paper.

Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:53.084260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8952cc36-4664-419b-a62e-42b2c9d42444 · inbound

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments cites this paper.

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T18:19:07.271250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a1e4bdd-335c-4b95-8e03-7a2c428acd87 · inbound

RobustVLA: On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations cites this paper.

RobustVLA: On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T14:58:38.134753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a8d32b-811c-4d43-9ab9-ed55a9dda75d · inbound

Robust Adversarial Policy Optimization Under Dynamics Uncertainty cites this paper.

Robust Adversarial Policy Optimization Under Dynamics Uncertainty Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:26:03.531757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f875dc7b-e0c2-40bf-9ae6-e4c9958a0a17 · inbound

Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation cites this paper.

Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:00:36.007148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bffd33db-e0ce-4be6-9bbd-c7b382486855 · inbound

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning cites this paper.

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:23:16.766540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0bb7cb45-3bbb-4d9e-acfe-0be439c24d9b · inbound

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning cites this paper.

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.847104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48e46889-b402-4026-ac6f-8a7378aa9857 · inbound

The Game Changer Problem: Controlling Equilibria with Discrete Rewards cites this paper.

The Game Changer Problem: Controlling Equilibria with Discrete Rewards Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 141

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:24:26.391786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5eef3f71-1cac-4d0a-8b11-3c865d973471 · inbound

Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions cites this paper.

Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Reference 141

Resolution: unresolved; no resolver link, observed 2026-08-15T14:39:15.768751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.