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Paper Citation Record · LEDGER

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2102.03479.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2102.03479 v19

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:57:08.380659Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T06:04:21.499798Z

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 3e19c696-c2af-43c6-bd84-71d64f848b02 · inbound

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T17:57:08.380659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:57:08.380659Z digest=sha256:d2f034b9da84e0906cc146829aa8a3c6cf072176f36574e770f70738b2fc8b2e

Observation 4450c4f5-0d6f-4ae3-9786-d399473c0f29 · inbound

Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning cites this paper.

Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:41:01.328463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:01:35.037646Z digest=sha256:f33e7019a503ac69b317b55af701f77d8aac48988aa8ef802c5fc83c9369ca1b

Observation 87be9471-c38e-4377-927f-6f74d868d945 · inbound

Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning cites this paper.

Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:07:22.491175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T06:02:43.375474Z digest=sha256:61298d0caf2334c13514f64b8605d506b24c60812484d6bfd956dcd419a537e7

Observation 0d50e6c6-d3db-4d39-a98d-e0802776f926 · inbound

Hierarchical Reinforcement Learning in StarCraft Micromanagement with Influence Maps and Cluster-based Scripts cites this paper.

Hierarchical Reinforcement Learning in StarCraft Micromanagement with Influence Maps and Cluster-based Scripts Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:04:21.501560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T06:00:05.471833Z digest=sha256:7649987828b8a601b22106cc89e0c1a89d493f4b111b43a8f1ed7e5337b73995