Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1702.08887.
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 2026-06-28T01:12:42.929665Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-02T13:36:58.933034Z
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 d5dd66ee-63a0-4aba-84ed-d67e941e2135 · inbound
Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks cites this paper.
Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:55:58.931789Z
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 5a0b4d4c-e827-49fe-8a96-32395ad9d7d5 · inbound
ACE-SQL: Adaptive Co-Optimization via Empirical Credit Assignment for Text-to-SQL cites this paper.
ACE-SQL: Adaptive Co-Optimization via Empirical Credit Assignment for Text-to-SQL Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T13:36:58.934339Z
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.