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Paper Citation Record · LEDGER

CORD: Generalizable Cooperation via Role Diversity

As of 12 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2501.02221.

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

pith.paper-citation-record.v1
2501.02221 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:30.080663Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:21:01.325978Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact4
  • verified fuzzy5
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 810b1ff2-0ba1-468b-8218-d99a1276dc27 · outbound

This paper cites MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning.

CORD: Generalizable Cooperation via Role Diversity MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:19:30.160363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:19:30.044696Z digest=sha256:9fbbc34f1193193a6271aee044b8bd09d91dcfaddebc9444b3a8ecd7b7a79a2c

Observation 9cb168e9-99ea-4093-9f0d-154014464ad7 · outbound

This paper cites Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning.

CORD: Generalizable Cooperation via Role Diversity Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:19:30.139488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:19:30.050520Z digest=sha256:8577c1d3df289b110a983018eb5b3fccf8326a9306f0674c40dae290833257f0

Observation 1348d30c-61be-4b98-8b0a-1e5c37dd4bb7 · outbound

This paper cites First, given the definitions of mutual information and entropy, the equation (4) is valid.

CORD: Generalizable Cooperation via Role Diversity First, given the definitions of mutual information and entropy, the equation (4) is valid

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:30.291338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:19:30.070932Z digest=sha256:576453ba3733c5e64684768289901e3a5664c0f9b1406264a57bcaf0cdb29702

Observation 40b6943b-4267-4022-a5fb-af293784ac97 · outbound

This paper cites We use the original code of COPA (Liu et al.

CORD: Generalizable Cooperation via Role Diversity We use the original code of COPA (Liu et al

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:30.265377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:19:30.080663Z digest=sha256:4834a7e209262957394c68fa6b7755f30db69df7728f9eceb72aec949839b8f7

Observation cc65e072-6f1e-48ea-8faf-3a6f93765eb4 · outbound

This paper cites Three fully connected layers are used to encode observation, action, and entity information into three 128-dimensional vectors respectively.

CORD: Generalizable Cooperation via Role Diversity Three fully connected layers are used to encode observation, action, and entity information into three 128-dimensional vectors respectively

Reference 256

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:30.278491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:19:30.075844Z digest=sha256:8576fe8437f9f96888d94091c8731b37d44f2e895943fae3f6f21bb35e409225

Observation d7015781-ac4e-4e0e-8618-b2790a3e1118 · outbound

This paper cites Decentralized Policy Optimization.

CORD: Generalizable Cooperation via Role Diversity Decentralized Policy Optimization

Reference 2010

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:19:30.179724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:19:30.039631Z digest=sha256:fbdcb1424a27709c60ca0c41b8eca3d1966a6a48525bbe06a49b59870a3155e3

Observation 942e7eff-05ef-4a87-938e-2ff4d0879f5b · outbound

This paper cites Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management.

CORD: Generalizable Cooperation via Role Diversity Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:30.025327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:30.025327Z digest=sha256:6cb8803563653f68d99d1ab6eb3fe3bc9ccac7d2ceb0ec8cf9db08780cc04891

Observation a617f303-bd5b-4b31-b431-6447f2fe5ad8 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

CORD: Generalizable Cooperation via Role Diversity Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:30.020670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:30.020670Z digest=sha256:09de615c777debeaa244122604e0806469331d1fdc581faaf6f1aef30b8ef168

Observation bc3bfbec-738f-4eff-928c-e98f9fd07050 · outbound

This paper cites Reinforcement learning with task decomposition for cooperative multiagent systems.IEEE transactions on neural networks and learning systems, 32(5): 2054–2065,.

CORD: Generalizable Cooperation via Role Diversity Reinforcement learning with task decomposition for cooperative multiagent systems.IEEE transactions on neural networks and learning systems, 32(5): 2054–2065,

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:30.320694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:19:30.056178Z digest=sha256:361edd9020aa912b31b574fe5e79ca16bb44aed6bd7611f890ee04272cb1f53a

Observation 04d3d52b-6e22-4fea-9d38-5d4c96186056 · outbound

This paper cites M., Zam- baldi, V ., Jaderberg, M., Lanctot, M., Sonnerat, N., Leibo, J.

CORD: Generalizable Cooperation via Role Diversity M., Zam- baldi, V ., Jaderberg, M., Lanctot, M., Sonnerat, N., Leibo, J

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:30.305292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:19:30.060503Z digest=sha256:1728cfce34dc79142ee494dde9aed68d2c3c6b0eb4bdf14938b789d9afff9e91

Observation 1c34f5dc-42a1-449a-b3b4-09a4664926e3 · outbound

This paper cites Generalization in Cooperative Multi-Agent Systems.

CORD: Generalizable Cooperation via Role Diversity Generalization in Cooperative Multi-Agent Systems

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:30.034277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:30.034277Z digest=sha256:254ce6505fe61c330351c63dee48021c55214cfa5bf4eef913c554d1b9ce3f74

Observation e8002316-f45a-43a7-a274-53e49a208825 · outbound

This paper cites Hierarchical Policy Learning is Sensitive to Goal Space Design.

CORD: Generalizable Cooperation via Role Diversity Hierarchical Policy Learning is Sensitive to Goal Space Design

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:19:30.217032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:19:30.029463Z digest=sha256:96be365bee393b0c93fd91576d8e75e7aa84515f60ff07e1e73a14cfe46d899b

Observation 96f0ed38-e319-4bbb-a0df-5594482f36c9 · outbound

This paper cites Multi-Agent Collaboration via Reward Attribution Decomposition.

CORD: Generalizable Cooperation via Role Diversity Multi-Agent Collaboration via Reward Attribution Decomposition

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:30.064957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:30.064957Z digest=sha256:dfa86fe27c5ccd868f50f9e259720c52a250efbe422c07882b56eec7ed3ce7c8

Pith citing papers

Observation 3a788cd1-2e60-4c50-9d64-da01800262a3 · inbound

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning cites this paper.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning CORD: Generalizable Cooperation via Role Diversity

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T00:21:01.325978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:21:01.325978Z digest=sha256:11f6de3e6f56e7a723e21468e30cdbb1d13def7337cc507cf3002e7f06d702f7