Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1809.10658.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:42.246990Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-18T06:54:31.345307Z
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 9291505e-7564-4642-b4e7-ca12ac1c89ee · inbound
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System cites this paper.
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:46:42.246990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75ea77f2-3efe-470a-bfb8-bce5a2ae31fc · inbound
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering cites this paper.
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:50:52.487764Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 630c5bfb-0a63-4576-887c-525a11451807 · inbound
The False Promise of Imitating Proprietary LLMs cites this paper.
The False Promise of Imitating Proprietary LLMs Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
Reference 268
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T06:54:31.347760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.