Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.03864.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:15:55.806777Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T04:30:55.887222Z
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 ca28481f-ea6f-4056-a8eb-ceb292e1a3a8 · inbound
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration cites this paper.
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:15:55.806777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3adbce4-4076-4f1e-955b-18df50d0ebc7 · inbound
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation cites this paper.
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:24:23.330371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a1c16e3-eb97-4086-95d3-ee4c0d76066c · inbound
SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model cites this paper.
SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:30:55.892897Z
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.