Paper Citation Record · LEDGER

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1911.10635.

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

pith.paper-citation-record.v1
1911.10635 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:49.906712Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:19:34.389419Z

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 e648a3ec-1229-4580-afbe-43ba7f807f37 · inbound

An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems cites this paper.

An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:49.906712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc99008a-bbf6-47f9-bb6c-dd8c29471662 · inbound

Hold My Beer: Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control cites this paper.

Hold My Beer: Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:15.814299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e7552fe-9ec1-4779-9add-e152652ee752 · inbound

InstantEdit: Text-Guided Few-Step Image Editing with Piecewise Rectified Flow cites this paper.

InstantEdit: Text-Guided Few-Step Image Editing with Piecewise Rectified Flow Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T23:01:13.122644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed5db4b2-7bf0-4c88-844a-4bcb4289c5f3 · inbound

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning cites this paper.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T23:04:42.495007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db43a0be-af36-4926-af6c-6f45fb180eb1 · inbound

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents cites this paper.

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:42:03.984192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e64f6ae8-c530-42ed-af8f-c119fab24c5a · inbound

Stability and Sensitivity Analysis for Objective Misspecifications Among Model Predictive Game Controllers cites this paper.

Stability and Sensitivity Analysis for Objective Misspecifications Among Model Predictive Game Controllers Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:40:58.618306Z

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.

Observation 87cc5a13-3c72-480a-8ccb-cb0f7985bf53 · inbound

Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI cites this paper.

Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:46:37.336629Z

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.

Observation ecf8cea1-68d7-40f8-9922-bd515730c543 · inbound

Dynamic Hypergame for Task Assignment in Multi-platform Mobile Crowdsensing Under Incomplete Information cites this paper.

Dynamic Hypergame for Task Assignment in Multi-platform Mobile Crowdsensing Under Incomplete Information Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:30.551804Z

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.

Observation bdc457d2-6957-49a8-a7e6-136ab003b6ca · inbound

Quantum Advantage in Multi Agent Reinforcement Learning cites this paper.

Quantum Advantage in Multi Agent Reinforcement Learning Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:48:28.085323Z

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.

Observation 77dc2281-2e8d-4a2b-be15-f7b0750dd93b · inbound

Deep-Unfolded Coordination cites this paper.

Deep-Unfolded Coordination Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:19:34.391301Z

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.

Observation 736fa159-84d0-474f-8589-f2b3cd0688ca · inbound

Machine-Coached Policy Revision in Adaptive Agent-Based Regulatory Simulation: A Controller-Level Contestability Layer cites this paper.

Machine-Coached Policy Revision in Adaptive Agent-Based Regulatory Simulation: A Controller-Level Contestability Layer Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:38:49.901733Z

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.