Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.03803.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T18:47:09.501908Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T18:55:00.844445Z
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 f38b92b3-b832-4312-9dc3-9972eddd23ec · inbound
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning cites this paper.
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:25:20.363674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 499d4071-8170-44e6-8e83-ec5c34619cd9 · 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 Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:23:16.746918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0429e8a7-d200-4d33-8897-4b1247cad5e2 · 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 Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.846266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.