Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2105.00579.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:12:11.666549Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T13:58:21.621045Z
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 1bc72a2b-19d4-4a31-a159-eccf557b87ea · inbound
Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning cites this paper.
Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:12:11.666549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91c4db19-c7b7-4a7c-b828-4184bf1993eb · inbound
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies cites this paper.
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Reference 184
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:05:35.083962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c748fc02-93b7-42d3-bc99-3714c2db734b · inbound
Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning cites this paper.
Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:47:32.531262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4af959bc-14b5-41cc-93ac-cd6eeb747e52 · inbound
State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space cites this paper.
State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:18:23.824751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9358b655-da2a-4972-b1a2-1450f8d23b30 · inbound
BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learning cites this paper.
BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learning BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:56:07.110465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 08d70c12-4a67-4180-b83b-b190e4cde2ca · inbound
Auditing Near-Optimal Policies Can Be Exponentially Hard: Conditional Query Lower Bounds via Occupancy Rashomon Capacity cites this paper.
Auditing Near-Optimal Policies Can Be Exponentially Hard: Conditional Query Lower Bounds via Occupancy Rashomon Capacity BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:16:00.608902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2d928352-459f-4fb4-b298-e185799caffd · inbound
PolicyGuard: Towards Test-time and Step-level Adversary (Backdoor) Defense for Reinforcement Learning Agent cites this paper.
PolicyGuard: Towards Test-time and Step-level Adversary (Backdoor) Defense for Reinforcement Learning Agent BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T13:58:21.622584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.