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Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.589349Z digest=sha256:2b4c0e102ae729e1491607046545cb8f58e3d1b648cb99a3f9c997e5af58bf66

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.596152Z digest=sha256:256715f12f2266bd5cd82de89c2fefded41dfdcabff8dc6e5aefb566e7c1f2e6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.601874Z digest=sha256:0aee39d3962171f2f25d4f1f6675843acd7604c462b73fa6e8f227787304df67

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.607273Z digest=sha256:f448124c0753fafab524e9bd2a2d09c038f042eca0bc3374ee6633f5f0a6b4e9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.618031Z digest=sha256:d6c43c7da0bbfd09cf4cf6b60a1eb30318b4a4446474984af81f77c74308e7a7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.623678Z digest=sha256:b54997f4ad542be4b4b893a51b6b68b54a28b7721dd9470f080c67b66abce146

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.639007Z digest=sha256:d55e6a550c3fae5c63cad2ac3c811dd685c0284bfa010c7958ee9b5926d4dae1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.644898Z digest=sha256:d425cdacf778c6d4e38059ee7cb316d43fd64b319fdbbce53f98fd6f1e4ff10a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.650289Z digest=sha256:59c6ec06410aaf89d9c848ef33bdd25c2cc2b1c12e7ea74a59c48c2c9f5b821c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.655396Z digest=sha256:7b73a82bd3fc962a8fe0dbab828ad951ccda5fe5154e86dc8c209cfa678d0314

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.661108Z digest=sha256:2f358d9288faf7996b53ca84b88cd98cc3f0e93dd6b2f72ba13eb5731ea80a33

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.666398Z digest=sha256:a3807a2079dd1760eb759f547f116fabdc28ff66a3b0e70170b94f176740bfbd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.672131Z digest=sha256:76cf444fc1dd4e1c36fad4b7aa934a9e4378409da4ca5fdcc80ea65c4c0bdb8f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.677114Z digest=sha256:6954ad5c67d4644497f85e1ad981daefb5cda073fa846c6863387955e539072d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.683094Z digest=sha256:078ec2938840a5b2ef8ad2f3be961163e8356d60f5a50b75a3f7600d31a5064c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.688401Z digest=sha256:6daf2fd443f19b58e0278ba4c70ccc768680a36308584730e31ef3643aaf7c06

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.700219Z digest=sha256:22773a45a684b7d0119fd637d4971d06d5466b664bd563a1961aa1e2ef1e2e6e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.705455Z digest=sha256:244396ccc03314142353b9b5f05a611bfdb074a0162dca8957cb7ca58c3832e8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.718408Z digest=sha256:aa0af281de6983b87e7b115b48bc15e01d2e97df54c89773ddf9ab6393743953

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.723313Z digest=sha256:4acde27dff1da55c2e3495f83598939e3cc9cb7325d172b777a103032637aa45

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.728425Z digest=sha256:04fc4e3d92e8f4a05a33b44dfa33c0ada0b2c48e6500f3173c0ab82e0ffb46f4

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.733570Z digest=sha256:5e7d3b83e8406c9fa6f1ac95cf057610638b17146c04dec4a5403f996c176885

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.749516Z digest=sha256:d510f50d2373880fd3c844ebff9eaa24efad8a6359a6daa587d0c45dca13b411

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.754528Z digest=sha256:8b8e256385123beb0e42bdd5819f0ff90ed033143603f60a5770bc5d15dafece

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T19:27:03.759298Z digest=sha256:fbba79bbd0a33dfe310b95c82805c080ed4ae9b96addaeced5f25f588afa5a05

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T20:44:05.838936Z digest=sha256:8dd2c6cf799870c7dc5e3bf4ce47ea47d9d1b92e234cb70d0099a9e3fd05f534