Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.02006.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:06:27.940156Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T17:13:44.507855Z
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 c86e30ac-9043-4a40-b92c-276df6bced8f · inbound
Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective cites this paper.
Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:06:27.940156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2926790-48f9-448a-8686-a10be5b23d0c · inbound
Embedded Mean Field Reinforcement Learning for Perimeter-defense Game cites this paper.
Embedded Mean Field Reinforcement Learning for Perimeter-defense Game MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:42:42.213768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c92f0f4-9a92-4767-9530-a1e8838c2c57 · inbound
SCALE-COMM: Shared, Contrastively-Aligned Latent Embeddings for MARL Communication cites this paper.
SCALE-COMM: Shared, Contrastively-Aligned Latent Embeddings for MARL Communication MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:13:44.509383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.