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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:42:28.199222Z

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

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  • verified fuzzy0
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  • malformed identifier0
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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 6eb6318d-1818-47b9-8b8a-758f95e86eb9 · inbound

Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization cites this paper.

Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 42

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unresolved
no resolver link, observed 2026-08-14T14:42:28.199222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:42:28.199222Z digest=sha256:9bc33d81f038f631e8001041fb78c1fa4abdfb80e09fc86b6cdebad578b0c11d

Observation 517df901-7ab0-48f5-88e5-606244310063 · inbound

A Review of Cooperative Multi-Agent Deep Reinforcement Learning cites this paper.

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

Reference 221

Resolution
unresolved
no resolver link, observed 2026-08-14T13:59:09.714113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:59:09.714113Z digest=sha256:8f15eaf4764b04ca2f22f63741e21806b9df1bbe728c608915811257979c2889

Observation b104da63-e063-4565-8a43-fbb44c8287df · inbound

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization cites this paper.

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T18:46:17.577423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:46:17.577423Z digest=sha256:0217f897f31fdee4af83735f38f0086c050cdf4f6e7c4e4f68dfc3c493fc8d2f

Observation e4a9a22d-6d13-465f-9a49-564d6681719c · inbound

Position: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms cites this paper.

Position: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T04:16:44.683629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:16:44.683629Z digest=sha256:d73a8439364b16fb0b3fa5545b430f095f365263701a9fa9b1e707d18e59a67a

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.

source=pdf_text observed=2026-08-07T14:37:49.906712Z digest=sha256:6bd8d067e4b7083b6913b6b0f90b4e78401487a6529e817e3fe6658a77e81d7e

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.

source=pdf_text observed=2026-08-07T12:38:15.814299Z digest=sha256:11123c6b1f5d7fd744b39bc7dd90cea0a5fc27f19825d65c57a9daa82a95085a

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.

source=pdf_text observed=2026-08-05T23:01:13.122644Z digest=sha256:4f5fb3a8bc1b3655df2868b8e71498361bf478f21f7b4fb66faabd896780d70e

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.

source=arxiv_source observed=2026-08-05T23:04:42.495007Z digest=sha256:f4f02a9ed4cba585c72ef6d4e7440d861e02db7fba4339bd4ec51baaecc9b947

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.

source=pdf_text observed=2026-08-04T11:42:03.984192Z digest=sha256:ce7a649756291c10dc2978d46a3ef6e3ca9fc8d41b040e95e4f2b5ba784ed888

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:33:09.731253Z digest=sha256:37ad26ee7c166f569e84d810650dd030bdf005e64fcef0d105a255964793137b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T06:42:57.319962Z digest=sha256:b05f89d4fd861da9b10f8bb403383566dadaf39e8f398e7d11870a7257f61d0a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T13:30:52.951561Z digest=sha256:33f930f3f0caec13d5447a87787d0109218aa2f61916f7850d42c08044148e68

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T01:47:50.831972Z digest=sha256:041c6f3267e3f6e7a5fba63d71a9e806b0d110b39f8d5de9fabd6c6b250fee09

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T17:05:44.372648Z digest=sha256:6a98bd2f28d88c478af1fe13b6cff5ba8322d75df42f2357ae100df722a67883

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T02:30:22.787158Z digest=sha256:7d4ee89795cd4098c373ab91fd2e8d163b1ffd0ea65dbc131867a36f17207a1c

Observation 4030d70c-3abb-4b8a-b322-5ecb71e54a5d · inbound

ResidencyRL: Reinforcement Learning in Simulated Clinical Environments cites this paper.

ResidencyRL: Reinforcement Learning in Simulated Clinical Environments Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-10T04:59:12.962786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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