Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.08991.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:06:20.434468Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T05:15:22.121888Z
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 0626df87-5020-44cd-bd9e-b2b1614a23c1 · inbound
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards cites this paper.
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:06:20.434468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa497f66-b52f-40e8-8104-456c0e0f2c84 · inbound
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning cites this paper.
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:25:20.379734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e74cc6e4-52dc-4c3e-a0c0-15929519946c · inbound
Daunce: Data Attribution through Uncertainty Estimation cites this paper.
Daunce: Data Attribution through Uncertainty Estimation Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:56:15.372995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 942f13a5-48d8-4637-8b4e-3dcb9e0b5a7a · 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 Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:55:53.920438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8781399e-2423-4c63-8019-f91cee7f77d3 · inbound
WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents cites this paper.
WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:15:22.128253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.