Paper Citation Record · LEDGER

ROMA: Multi-Agent Reinforcement Learning with Emergent Roles

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2003.08039.

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

pith.paper-citation-record.v1
2003.08039 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:24:23.043245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:07:22.495515Z

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 8b65ec65-844a-47a9-8bc6-95c38bc16169 · inbound

CTC: The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning cites this paper.

CTC: The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning ROMA: Multi-Agent Reinforcement Learning with Emergent Roles

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T19:24:23.043245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3209cc71-f51e-4af0-9b53-0ff260775ee8 · inbound

A Taxonomy of Hierarchical Multi-Agent Systems: Design Patterns, Coordination Mechanisms, and Industrial Applications cites this paper.

A Taxonomy of Hierarchical Multi-Agent Systems: Design Patterns, Coordination Mechanisms, and Industrial Applications ROMA: Multi-Agent Reinforcement Learning with Emergent Roles

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T19:22:37.980089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05fe2d80-29f6-4559-95ff-19ca58de854f · 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 ROMA: Multi-Agent Reinforcement Learning with Emergent Roles

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:55:58.943516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6181fb4d-f29b-4fc9-92d5-12bf4162c4ef · inbound

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution cites this paper.

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution ROMA: Multi-Agent Reinforcement Learning with Emergent Roles

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:40:20.199808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6333e1a0-2269-45fb-8351-1d4b6f9e5c9a · inbound

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

Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning ROMA: Multi-Agent Reinforcement Learning with Emergent Roles

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.497228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fcb966cb-ac13-4e18-9526-506779b35738 · inbound

Feedback Attribution and Representation Geometry: Metrics for Comparing Individual and Shared Rewards in MARL cites this paper.

Feedback Attribution and Representation Geometry: Metrics for Comparing Individual and Shared Rewards in MARL ROMA: Multi-Agent Reinforcement Learning with Emergent Roles

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T20:47:23.843945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.