Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:03.946380Z
Paper Citation Record · LEDGER
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
As of 18 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.
Coverage vector
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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
No source-named external measurement is stored.
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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Observation ee570574-8e36-4427-b5e8-431b95218427 · outbound
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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Observation 0d5ae7e0-ea1a-4088-b81d-f721f6cbabaa · outbound
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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Observation fac30dc4-a2d2-469b-a8d5-48ebbe0dede4 · 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 4
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Observation 3d840b91-2744-45b5-8f98-6a79918a9b5b · outbound
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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Source-reported events for the cited work
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Observation 6d1c7521-481d-454a-801f-5d15036e961b · outbound
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e3f7db12-35b0-42ef-aae9-0ef744d65db2 · outbound
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5be60389-5622-4501-b508-ed418ca05759 · outbound
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 23076566-2b62-4097-a5a2-5a8e16326915 · outbound
This paper cites an unresolved cited work.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Unresolved cited work
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b17d8649-ef5a-4647-b5a0-b4cdc47cdff1 · outbound
This paper cites Greene and B.R.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Greene and B.R
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation e2df700d-a149-45a2-a412-545dc287a9b5 · outbound
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
- Resolution
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Observation ff916495-e339-4c50-a3d8-ddd77146fafc · 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 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8c698bc5-e4f2-4a58-bd0a-b9d008544bff · outbound
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b28bb646-8c89-4eb6-b132-8cdb3fb7441f · outbound
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
- Resolution
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Source-reported events for the cited work
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Observation 161ffa3b-e76c-4e3c-8213-c7633f3c9f62 · outbound
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
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b280ff62-7b64-4171-bf10-0b9c9e66cf95 · outbound
This paper cites In:Advances in Neural Information Pro- cessing Systems.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Advances in Neural Information Pro- cessing Systems
Reference 17
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Source-reported events for the cited work
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Observation 0a401bb1-3e52-4887-a12f-95ceb7d528bf · outbound
This paper cites In:International Conference on Learning Representations.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:International Conference on Learning Representations
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation 3820d5a8-4a92-4589-aa87-c7770d166022 · outbound
This paper cites In:Ad- vances in Neural Information Processing Systems.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Ad- vances in Neural Information Processing Systems
Reference 19
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Observation 2740de91-258c-491d-9b43-391e85e902b3 · outbound
This paper cites In:Proceed- ings of The 6th Conference on Robot Learning.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceed- ings of The 6th Conference on Robot Learning
Reference 20
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Observation 74da7bc9-1feb-451a-a382-0233e5bd6f78 · outbound
This paper cites In:Proceed- ings of the 36th International Conference on Machine Learn- ing.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceed- ings of the 36th International Conference on Machine Learn- ing
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 08764fea-b7a4-44f0-a776-17e5d50eb0c9 · outbound
This paper cites In:Proceedings of the 2023 Inter- national Conference on Autonomous Agents and Multiagent Systems.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 2023 Inter- national Conference on Autonomous Agents and Multiagent Systems
Reference 22
- Resolution
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cfd88127-9230-4d52-82c8-6bcb2ed72768 · outbound
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9598c46d-fe07-48f0-b7cb-a566859661ed · outbound
This paper cites In:Cognition141 (2015), pp.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Cognition141 (2015), pp
Reference 24
- Resolution
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Observation efd0a60f-23cf-4e6f-b7f9-7d240c615ff5 · outbound
This paper cites an unresolved cited work.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Unresolved cited work
Reference 25
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Source-reported events for the cited work
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Observation 465f66a6-c4cc-470e-bbaf-5ad38232bdf4 · outbound
This paper cites Multi-agent Communication meets Natural Language: Syn- ergies between Functional and Structural Language Learn- ing.
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
- Resolution
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 24f9445a-2b72-4249-8297-86f133d97666 · outbound
This paper cites In:The Thirty-eighth Annual Conference on Neural Informa- tion Processing Systems.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:The Thirty-eighth Annual Conference on Neural Informa- tion Processing Systems
Reference 27
- Resolution
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Observation a92788d6-98fe-4a46-97ca-24923ef332c0 · outbound
This paper cites Learning to Model the World with Language.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Learning to Model the World with Language
Reference 28
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Observation 6b098908-80c6-4716-96dd-c8b9c29c5d1f · 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 29
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Observation 1be9bb23-9dbb-4836-985d-53c0700e7831 · outbound
This paper cites Davison.End-To- End Multi-Task Learning With Attention.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Davison.End-To- End Multi-Task Learning With Attention
Reference 30
- Resolution
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 294062fb-2df3-4ddb-a383-be27d970e6b9 · 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 31
- Resolution
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 01d7cbb0-9c77-4c86-a5e1-9aa30a5535f7 · outbound
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 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 78cea2ec-b0ff-41f1-80ac-f4ab032264d0 · outbound
This paper cites In:Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems.
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning In:Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
Reference 33
- Resolution
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9346dfa3-10fc-43cb-81d4-b392e530627d · outbound
This paper cites In:The Psychology of Learn- ing and Motivation.
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
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.