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Paper Citation Record · LEDGER

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2506.05236.

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

pith.paper-citation-record.v1
2506.05236 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation e6a74be6-d57a-4458-83ee-2c35883e27ea · outbound

This paper cites In:Science378.6624 (2022), pp.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Science378.6624 (2022), pp

Reference 1

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This paper cites In:Proceedings of the 2018 Conference on Empiri- cal Methods in Natural Language Processing.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 2018 Conference on Empiri- cal Methods in Natural Language Processing

Reference 2

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This paper cites In:Proceedings of Machine Learning Research.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of Machine Learning Research

Reference 3

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This paper cites In:Advances in Neural Information Process- ing Systems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Advances in Neural Information Process- ing Systems

Reference 4

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This paper cites In:Proceedings of the 58th Annual Meeting of the Association for Computational Lin- guistics.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 58th Annual Meeting of the Association for Computational Lin- guistics

Reference 5

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This paper cites In:Advances in Neu- ral Information Processing Systems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Advances in Neu- ral Information Processing Systems

Reference 6

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This paper cites In:Proceedings of the 36th International Con- ference on Machine Learning.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 36th International Con- ference on Machine Learning

Reference 7

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Observation 7ec1adf0-a4d6-400a-97ef-748242e68ec2 · outbound

This paper cites Ferry, Susan J.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Ferry, Susan J

Reference 8

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This paper cites Foerster et al.Learning to Communicate with Deep Multi-Agent Reinforcement Learning.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Foerster et al.Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Reference 9

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Unresolved cited work

Reference 10

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This paper cites Greene and B.R.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Greene and B.R

Reference 11

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This paper cites In:33rd International Joint Conference on Artificial Intelligence (IJCAI 2024).

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)

Reference 12

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This paper cites In:Advances in Neural Information Processing Systems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Advances in Neural Information Processing Systems

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This paper cites In:Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems

Reference 14

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This paper cites Hanjie, Victor Y Zhong, and Karthik Narasimhan.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Hanjie, Victor Y Zhong, and Karthik Narasimhan

Reference 15

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This paper cites In:Proceedings of the 31st Interna- tional Conference on Neural Information Processing Sys- tems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 31st Interna- tional Conference on Neural Information Processing Sys- tems

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Advances in Neural Information Pro- cessing Systems

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:International Conference on Learning Representations

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Ad- vances in Neural Information Processing Systems

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceed- ings of The 6th Conference on Robot Learning

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceed- ings of the 36th International Conference on Machine Learn- ing

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 2023 Inter- national Conference on Autonomous Agents and Multiagent Systems

Reference 22

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This paper cites In:International Con- ference on Learning Representations.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:International Con- ference on Learning Representations

Reference 23

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Cognition141 (2015), pp

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Multi-agent Communication meets Natural Language: Syn- ergies between Functional and Structural Language Learn- ing

Reference 26

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:The Thirty-eighth Annual Conference on Neural Informa- tion Processing Systems

Reference 27

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Learning to Model the World with Language

Reference 28

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Advances in Neural Information Processing Systems

Reference 29

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Davison.End-To- End Multi-Task Learning With Attention

Reference 30

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Advances in Neural Information Processing Systems

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:International Con- ference on Learning Representations

Reference 32

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems

Reference 33

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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:The Psychology of Learn- ing and Motivation

Reference 34

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Observation 670d5bbb-ce2a-4ce2-8d96-2e36652fb462 · outbound

This paper cites In:Journal of Machine Learning Research 9 (2008), pp.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Journal of Machine Learning Research 9 (2008), pp

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:07.975393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:01.493520Z digest=sha256:423140358df69a1d22b6c1e3620b5531f10c34e396321dd8b99486bd45843b48

Observation 803c3da8-b2fc-4cb5-99d9-bb4f2e52959f · outbound

This paper cites Springer, 2016.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Springer, 2016

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:07.843815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:01.645399Z digest=sha256:df7c503622c62a7f885c249e629f87123785250fedac89ec5cf8c4cf30b95456

Observation 91cb63d4-4239-44d3-a120-3c84bfde2211 · outbound

This paper cites In:Proceedings of the 36th An- nual ACM Symposium on User Interface Software and Tech- nology.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 36th An- nual ACM Symposium on User Interface Software and Tech- nology

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:07.695163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:01.776858Z digest=sha256:96a6cf581a6a26f1c6ab11922adfea6b83df5c5193abbf1099bbb8d20a5c5eb0

Observation 93da0248-de5e-4f6d-bd00-b0b0150744c4 · outbound

This paper cites Cultural evolution in populations of Large Language Models.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Cultural evolution in populations of Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:01.889372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:01.889372Z digest=sha256:ce3c93280cfee39c3dd5daa245b65492c408fed57b7f47510a2a1c57e88bed56

Observation 969702b9-01c9-4e99-81b2-8a3526bdadd3 · outbound

This paper cites Piaget.La formation du symbole chez l’enfant: Imitation, jeu et rêve, image et représentation.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Piaget.La formation du symbole chez l’enfant: Imitation, jeu et rêve, image et représentation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:07.536349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:02.048088Z digest=sha256:c5d7988b7f82075827c43ed24902b1beb4d64ac71bc1434d090fc076f141865c

Observation 78e613ab-4937-46ee-831f-27588ef54a1e · outbound

This paper cites In:Behavioral and Brain Sciences13.4 (1990), pp.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Behavioral and Brain Sciences13.4 (1990), pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:07.225849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:02.275830Z digest=sha256:c5175593b521c86849e236d989563650caa659c2fce9018f1239d27b0588476e

Observation d2695356-8091-4c8a-87d0-48fcaa073733 · outbound

This paper cites In:Proceedings of the 38th International Conference on Machine Learn- ing.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 38th International Conference on Machine Learn- ing

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:07.068829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:02.403543Z digest=sha256:0eb01c9d0403449a89ee7420998f8298b598bcc585431849ba4d48f2f8ab2943

Observation e13e2886-3ca9-4a4d-947d-63c802ecfa49 · outbound

This paper cites In: (2016).

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In: (2016)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:06.910251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:02.483042Z digest=sha256:e009f0eb2e64014ffa203fed9c0751cc0a0ab69e9f2b5ca7af6d3a3f47026454

Observation 190270e9-097f-4c00-ac29-eb8910c0c8e4 · outbound

This paper cites In: (2017).

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In: (2017)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:06.746882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:02.578416Z digest=sha256:53ca4e80a5235bb3cd131760620d369e102045286832cb8fe4c9d9c9fadd36ab

Observation ac4b5648-e37f-4720-b3e9-8fcdcaaef70b · outbound

This paper cites Searcy and Stephen Nowicki.The Evolution of Animal Communication: Reliability and Deception in Sig- naling Systems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Searcy and Stephen Nowicki.The Evolution of Animal Communication: Reliability and Deception in Sig- naling Systems

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:06.552288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:02.746626Z digest=sha256:c5a62445c4360778777f12d17ca680587cb17e9ae725874e5d5b7327568fbf4a

Observation fb223774-1063-4f15-9ab8-6743f80fae3e · outbound

This paper cites Learning when to Communicate at Scale in Multiagent Coop- erative and Competitive Tasks.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Learning when to Communicate at Scale in Multiagent Coop- erative and Competitive Tasks

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:06.392874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:02.863521Z digest=sha256:e7fbca2d1f9f9d745f4914832bb8bbe9c46bcc131cf04c81fbf05f5ae102e83f

Observation f11ea457-cb97-4aee-8e7c-532351491e54 · outbound

This paper cites Smith and D.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Smith and D

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:06.229015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:02.980427Z digest=sha256:eb2f142a0f03030e201ad4301e5a879518a08fb7bcae21a22652e341bcf2020d

Observation 13f272dc-4a2c-4485-89db-d1bb8cba49d2 · outbound

This paper cites In:Evolution of Communication1.1 (1997), pp.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Evolution of Communication1.1 (1997), pp

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:06.014322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.116783Z digest=sha256:ea706634dbf8db461e8cd73b5d53508a46c07f03e5bd74266bd64469372c510e

Observation 53519074-f331-4d47-8f81-b86b8043a168 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In: Advances in Neural Information Processing Systems

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:05.823880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.202524Z digest=sha256:26ea428da160a5f8cc947854c153b993867eefbc6551411f107f47a29e79167c

Observation e621030f-14f3-4e8a-bcd4-6c9d2aaad46a · outbound

This paper cites Harvard university press, 2009.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Harvard university press, 2009

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:05.661318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.264277Z digest=sha256:8fded281206ccb023d49187971f83421ec481a2a8031ccf130f4793fac3e5046

Observation 5f2cd3e0-450c-4a01-8bcc-717944a955b9 · outbound

This paper cites In:Advances in Neural Information Process- ing Systems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Advances in Neural Information Process- ing Systems

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:05.506618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.369285Z digest=sha256:92e1a0d54b8871ccfb3ff0533f4424e4a6e6c3042b8e6477df700eeb91221016

Observation 5990ed58-e3b6-44a9-aa53-7be50e33765b · outbound

This paper cites In:IEEE Transactions on Pattern Analysis and Machine Intelligence(2021).ISSN: 1939-3539.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:IEEE Transactions on Pattern Analysis and Machine Intelligence(2021).ISSN: 1939-3539

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:05.342457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.474916Z digest=sha256:02f3f7a50a23f37a117a029fe3da0df383c5e7672cbc85697588119ce8f17046

Observation 58ea74eb-c8b3-4e8d-ae60-b1386b32a99e · outbound

This paper cites Vygotsky.Thought and Language.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Vygotsky.Thought and Language

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:05.135516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.527490Z digest=sha256:0d1dd1b8aded944fa7f4843b76671341eebd8dc008862a36306d8df8699d7b02

Observation f1282b8f-4816-42b6-a677-ba13548576cf · outbound

This paper cites In:Proceed- ings of the 2023 International Conference on Autonomous Agents and Multiagent Systems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceed- ings of the 2023 International Conference on Autonomous Agents and Multiagent Systems

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:04.957847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.614225Z digest=sha256:5a2ed47c3afb8b5159e2645f96cf83e98421b3e540116e9e726d1dacdf404ffe

Observation 7815c05e-adcc-4e62-97a8-c5fcb6c93ad2 · outbound

This paper cites In: 35 (2021).

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In: 35 (2021)

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:04.746199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.704226Z digest=sha256:a67ae0c21ce6015370d9ce01a36692aacf660dea7e764e62f48ccf4fa2a8ce6c

Observation e7d7872c-2120-4a2d-af9b-220752ad964c · outbound

This paper cites In:Advances in Neural Information Process- ing Systems.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Advances in Neural Information Process- ing Systems

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:29:04.503346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.818790Z digest=sha256:6db4fabeb397882837d1a277a57d4a7305fc3f47f2c17c7b1d0370db478ec804

Observation 898a6d5e-4f73-4432-ba61-127733d115fb · outbound

This paper cites predator.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning predator

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T10:29:04.235458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:03.946380Z digest=sha256:a015644d13b1aac19def2edc9ea87be19f14a83e7e1555ac18f280eb5b3f8bcf

Observation 76650e97-3186-4ae0-8c4a-c1bdf71eacc3 · outbound

This paper cites an unresolved cited work.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Unresolved cited work

Reference 1945

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:29:07.373881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:02.181118Z digest=sha256:f7718b17d28310b7b47f3cbdbaa547a583f622091f8371456324844463a6cf01

Pith citing papers

No inbound Pith citation observations are available.