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Paper Citation Record · LEDGER

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2501.10116.

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

pith.paper-citation-record.v1
2501.10116 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:27:03.759298Z

measured 33 of 33 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 2026-06-28T20:44:05.838936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T20:52:37.945006Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact4
  • verified fuzzy14
  • unresolved9
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e4f3a84-8192-4087-9e90-4f5d5e0f260b · outbound

This paper cites Rashid, M.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Rashid, M

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.561146Z

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=2026-08-10T19:27:03.589349Z digest=sha256:803302379d31245acec826747ac9e451e61538ea31ef7854bd561eb65744d0b4

Observation 75b579d8-71e3-42c0-bd62-89b0aa99dafe · outbound

This paper cites Baker, I.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Baker, I

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.545888Z

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=2026-08-10T19:27:03.596152Z digest=sha256:f3c0666ad1e658c826cb134813beeff4f3f7e774f93cc7d1497769a44e5d5d83

Observation e197b4f0-f73e-4f73-810c-fb9102e64a5c · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:27:04.529534Z

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=2026-08-10T19:27:03.601874Z digest=sha256:209a1fc188fd51955e0be67d12ba8633df07a78c3b2d0c176e3e35be436ece03

Observation 4dc191ed-afd1-44b7-bcda-9014d2c093cc · outbound

This paper cites Matignon, L.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Matignon, L

Reference 4

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T19:27:04.513220Z

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=2026-08-10T19:27:03.607273Z digest=sha256:4fa40123d86f0fb97364168f93a4601b91dba1737ffa1730ea0e95ee278910c3

Observation f660e937-b537-45d9-831d-665c558c385b · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 5

Resolution
malformed identifier
no resolver link, observed 2026-08-10T19:27:03.612640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:03.612640Z digest=sha256:8d4428de459c455c23196eb15215638b45234b5aea7c490b14d9840c80926041

Observation 9fc5e42b-f433-416e-9c54-ebe6bbd6cd91 · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 6

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T19:27:04.123679Z

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=2026-08-10T19:27:03.618031Z digest=sha256:d9de83d956236da74ef50c49d507cb1132a86d0644048f764459332edf3d8ae2

Observation b974db50-b5ce-4c01-8981-49075cbaabab · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 7

Resolution
verified exact
doi, observed 2026-08-10T19:27:03.864446Z

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=2026-08-10T19:27:03.623678Z digest=sha256:e4a4c167781edf854e1e5312cb5a44e2fad9613b0ea4a91c64095638a2b55db9

Observation b74e0356-97d4-4e71-8926-be8d4369cf0c · outbound

This paper cites Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:03.628530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:03.628530Z digest=sha256:e544c4c10d585dd3a81fa0a5da62141876af9817f69d8c44f492c17e07289a3e

Observation 3ad4222d-a4ca-49a1-a912-f81b8b45b844 · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 9

Resolution
malformed identifier
no resolver link, observed 2026-08-10T19:27:03.634068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:03.634068Z digest=sha256:0503090352b129afb7b66122b8d8bf6f046170049dfe9b33b55bf15d93f71ba9

Observation c2f9df91-78ca-4835-8a7d-7b889d7db97c · outbound

This paper cites Hafner, T.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Hafner, T

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.491052Z

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=2026-08-10T19:27:03.639007Z digest=sha256:996eeba061a537d9a2fb32dce515ba64bf6746626e63134f1c2887ad5cdb97e8

Observation e27f064c-8082-4918-b8e5-1bbdeaff465d · outbound

This paper cites J ¨anner, J.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning J ¨anner, J

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.474721Z

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=2026-08-10T19:27:03.644898Z digest=sha256:f1fc59e0652dbb7291e8ec65c6eb854fdb637d91fa22086a43726251f7d148cf

Observation 4c1e1790-3e45-4938-9643-9410be5bade0 · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:27:04.458356Z

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=2026-08-10T19:27:03.650289Z digest=sha256:b95db3b8c74fe93d6823d23d637e060c0f02556bed0b8622a551c22e1214a1e2

Observation cc847927-1452-4c6a-ad87-a8205eb5138f · outbound

This paper cites Malekzadeh, M.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Malekzadeh, M

Reference 13

Resolution
verified exact
doi, observed 2026-08-10T19:27:03.846988Z

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=2026-08-10T19:27:03.655396Z digest=sha256:5f0d171a27e6fd4f82de2de7245ae6246a21b79fdd34d1df0b69dababd117a11

Observation 938ddf40-28c9-4cfd-8c9a-bae8119d9ed4 · outbound

This paper cites Krupnik, I.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Krupnik, I

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.441554Z

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=2026-08-10T19:27:03.661108Z digest=sha256:a36baf12086d6ba855c26a5624f1151cd0f510e1878ac2cf40255b18742f3473

Observation 77090bea-5d87-43cb-9ea6-2256ce5d2c18 · outbound

This paper cites Egorov, A.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Egorov, A

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.423339Z

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=2026-08-10T19:27:03.666398Z digest=sha256:3fb9840b07e7cba31b7d1cfe123ccce561d7c3cd91be188cff0b0329f062124b

Observation 5641dc86-2952-467f-8dba-928ceab843b4 · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 16

Resolution
verified exact
doi, observed 2026-08-10T19:27:03.829568Z

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=2026-08-10T19:27:03.672131Z digest=sha256:87e6b3f7e63d0fba31041cf71b3a2696b2135d0ddc8abfb982b7d01f112a1a1b

Observation 9c1310c5-a626-4255-901f-53abba85429c · outbound

This paper cites Venugopal, S.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Venugopal, S

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.405243Z

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=2026-08-10T19:27:03.677114Z digest=sha256:6ec1598944d9c0848067952a29d2225867a3adf549ee7356d25895edc38c8f3f

Observation 45c01360-7d04-49c6-9fab-4e75205b2da9 · outbound

This paper cites Samvelyan, T.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Samvelyan, T

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.385128Z

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=2026-08-10T19:27:03.683094Z digest=sha256:70012121c44fc61a31f64c38ba5c17f51ca540405e928c208da060512cbe9c4b

Observation 4c8e33f5-7610-4304-8ac8-dc93617d9164 · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 19

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T19:27:04.367560Z

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=2026-08-10T19:27:03.688401Z digest=sha256:42b83c73c54ac89e6f654a8e4224c653c17488755941168c096705f367354b1f

Observation 7f7d327b-294f-42d8-aaa5-deb248478ff8 · outbound

This paper cites Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:03.694247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:03.694247Z digest=sha256:621356973f50bf0ca656df054e996006809376aacb855dd01c4de568b2e594e6

Observation f5029c30-8cb3-43b4-aa18-281070f93641 · outbound

This paper cites Ayoub, Z.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Ayoub, Z

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.348713Z

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=2026-08-10T19:27:03.700219Z digest=sha256:009911e873878a442983e3430ecbc468bdb2d538a2af38e71b8ef712b6347462

Observation 2f5a7af8-3120-44b9-9d2b-a0b1c2fe2d39 · outbound

This paper cites Hafner, T.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Hafner, T

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.330898Z

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=2026-08-10T19:27:03.705455Z digest=sha256:892516a7cd7030f463f6bb025e393d1bef05591387bca4f19f3ffb504f79d7ac

Observation b137cec9-255a-4a95-85c7-ba6d45db026f · outbound

This paper cites Mastering Diverse Domains through World Models.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Mastering Diverse Domains through World Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:03.712587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:03.712587Z digest=sha256:ab1c228b202b4ae4a048411cfdfdc84ee9e1b9040c7e41e5e2237fa9f3f5f183

Observation ddeca41b-8f39-483a-9ed9-c647bab7eed4 · outbound

This paper cites Micheli, E.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Micheli, E

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.313469Z

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=2026-08-10T19:27:03.718408Z digest=sha256:4cfcc8f1986ea7a86fdc9973dfdaa0ff59d6fca46df5aaac99546c2429b483f0

Observation a937f5d2-772c-4ab8-9a52-3e65403564ce · outbound

This paper cites Zhang, G.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Zhang, G

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.293434Z

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=2026-08-10T19:27:03.723313Z digest=sha256:4716a0ac5de397649c6869f9094dee60953875ad76db5d8bb17e9d4d927aef64

Observation 7800396e-938f-4937-b976-355c8a5b2b19 · outbound

This paper cites Robine, M.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Robine, M

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.273313Z

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=2026-08-10T19:27:03.728425Z digest=sha256:ad5ad3dfbb676fdc7874d86abfde244bbef38518769175c650568f8e721e0d2d

Observation bf9546a4-8a65-4609-a38e-074581a419ed · outbound

This paper cites Vaswani, N.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Vaswani, N

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:04.255725Z

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=2026-08-10T19:27:03.733570Z digest=sha256:41b199c7aca2d7756719f8107b9dfc2e96a81d879131600ec2918b3a76d11feb

Observation ab71944f-9036-4a8a-8025-c798117e66ca · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:03.739014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:03.739014Z digest=sha256:b9e40be7af7219c0917e6ba9ead258fa993bb029d9302cb7cb473aa9387ca605

Observation 54c331a9-e5e1-4d47-9b6c-9860237fb7a7 · outbound

This paper cites Auto-Encoding Variational Bayes.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Auto-Encoding Variational Bayes

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:03.744147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:03.744147Z digest=sha256:f404a4c1d55f7edc215eb5bd1f4d9d98bb13112698bf389dd2b7663cf55f882e

Observation 97eeb83b-4e44-4451-bcae-61b878aea8d5 · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:27:04.238340Z

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=2026-08-10T19:27:03.749516Z digest=sha256:5d4763d17c950a2d88e6781e5334ce6423401ffd0bdc52ae6420c0a5c2428a60

Observation 637036ff-0eb9-4f37-bd32-6343fdd5e916 · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:27:04.220967Z

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=2026-08-10T19:27:03.754528Z digest=sha256:da697ebba67c0aa22745e0c9f77a9a7c85d30afc951bef2e25cf7ff498c383aa

Observation 1c3ff2ea-f7f4-40e5-83f0-550de22b333c · outbound

This paper cites an unresolved cited work.

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning Unresolved cited work

Reference 32

Resolution
verified exact
doi, observed 2026-08-10T19:27:03.800337Z

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=2026-08-10T19:27:03.759298Z digest=sha256:8d7e9b1221ecf0b719ec5332c9a50bf97609dc303e477becb055bd656d2d0493

Pith citing papers

Observation 04a2ca90-ee92-441b-84a5-701aa45f2b52 · inbound

Dreaming Of Others: Latent Teammate Modeling In World Models For Multi-Agent Reinforcement Learning cites this paper.

Dreaming Of Others: Latent Teammate Modeling In World Models For Multi-Agent Reinforcement Learning GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:52:37.946728Z

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=2026-06-28T20:44:05.838936Z digest=sha256:c3b066722ad6fd737e20ffde100b65e2568dbf5c8b195367c20d485dd90409e7