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Paper Citation Record · LEDGER

Emergent Multi-Agent Communication in the Deep Learning Era

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2006.02419.

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

pith.paper-citation-record.v1
2006.02419 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:34:27.164447Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

32
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 81ac15e8-334f-49ba-baec-985bf3077637 · inbound

SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication cites this paper.

SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication Emergent Multi-Agent Communication in the Deep Learning Era

Reference 19

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arxiv_id, observed 2026-05-23T19:13:21.938418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T19:09:55.712131Z digest=sha256:5ae7f9dc3777ff6eed6c218e17e8d3d30589589a9acc3fa13b431520404b3a61

Observation be2bbb44-22e5-492f-a16e-f6fa5d3a7dc6 · inbound

Searching for Structure: Investigating Emergent Communication with Large Language Models cites this paper.

Searching for Structure: Investigating Emergent Communication with Large Language Models Emergent Multi-Agent Communication in the Deep Learning Era

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:42:47.523483Z digest=sha256:e09501c5713c68bb22d9e782fde9793caec13508f2475cd813a5babf0e4113b5

Observation e0c1c3ec-0f47-4c65-8a31-424bfcf47cc8 · inbound

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference cites this paper.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Emergent Multi-Agent Communication in the Deep Learning Era

Reference 51

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no resolver link, observed 2026-08-11T12:27:14.855190Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T12:27:14.855190Z digest=sha256:5fcf18bfe9e02c6eaef26e392c712d8b86239fda10c4e486cb2da22f6aa7885e

Observation b355d4a7-c892-4ae9-914d-4c32317d145d · inbound

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning cites this paper.

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning Emergent Multi-Agent Communication in the Deep Learning Era

Reference 20

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no resolver link, observed 2026-08-11T11:24:46.065586Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T11:24:46.065586Z digest=sha256:0e418fec0fedc62476b05a06ffcbe724bf881836807a78efe7453ec2dc724146

Observation f9f96b94-d13a-46da-8b9b-362853bb2849 · inbound

Generative Emergent Communication: Large Language Model is a Collective World Model cites this paper.

Generative Emergent Communication: Large Language Model is a Collective World Model Emergent Multi-Agent Communication in the Deep Learning Era

Reference 71

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no resolver link, observed 2026-08-10T23:01:42.970399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:01:42.970399Z digest=sha256:6c6b856e082000a035eb8eaeaeaa7b7dbeee0ff3e9913272f1ffd8e72d2543cb

Observation b6b6382c-8956-4987-a8fd-4d987370a030 · inbound

Preventing Rogue Agents Improves Multi-Agent Collaboration cites this paper.

Preventing Rogue Agents Improves Multi-Agent Collaboration Emergent Multi-Agent Communication in the Deep Learning Era

Reference 97

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no resolver link, observed 2026-08-08T17:14:25.227846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:14:25.227846Z digest=sha256:843eb3420f75c9f2088dff7e01e30a4b638b6bc3cc212820d3cadbace98bfea0

Observation 687f140a-9048-4046-8afb-4268afad199b · inbound

Decentralized Collective World Model for Emergent Communication and Coordination cites this paper.

Decentralized Collective World Model for Emergent Communication and Coordination Emergent Multi-Agent Communication in the Deep Learning Era

Reference 4

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arxiv_id, observed 2026-05-22T21:42:11.461118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T21:37:29.644513Z digest=sha256:a6b7552ac348f4fdecf1ee509d87cbb438037e194f880bfb6c691486ecd306da

Observation d3d21fd4-9860-42d3-8895-d20faf14cd9b · inbound

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence cites this paper.

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Emergent Multi-Agent Communication in the Deep Learning Era

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:53.913785Z digest=sha256:4931f0170bb5dd9ea088a38b50ea7273c72861f4fb514ed23552e920acb0f047

Observation 31eff2ff-b36e-416d-a306-6c817a2a29b7 · inbound

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning cites this paper.

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning Emergent Multi-Agent Communication in the Deep Learning Era

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:22.350849Z digest=sha256:e9ae6f510ac41f568110309f684dfd64b2b77b652f8a8255512f1cb981ede6f2

Observation 81004911-762d-4c79-bc16-99904eed66d7 · inbound

Why do AI agents communicate in human language? cites this paper.

Why do AI agents communicate in human language? Emergent Multi-Agent Communication in the Deep Learning Era

Reference 42

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no resolver link, observed 2026-08-07T11:21:51.365792Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:21:51.365792Z digest=sha256:b336c905e342eac55b91c8abe697116ff479f76f034a39bd2588e12d6cfce0f9

Observation e19aec67-0049-42c3-b1c7-3dbccdff1935 · inbound

Wanting to Be Understood Explains the Meta-Problem of Consciousness cites this paper.

Wanting to Be Understood Explains the Meta-Problem of Consciousness Emergent Multi-Agent Communication in the Deep Learning Era

Reference 94

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:11:34.220597Z digest=sha256:2fce34208faab3722b3dd22817ffa9b3c5939bd97c340e748d0c1932ad2acdab

Observation 05934056-4a2e-4fa2-8361-3e26646b53f5 · inbound

Why Are Parsing Actions for Understanding Message Hierarchies Not Random? cites this paper.

Why Are Parsing Actions for Understanding Message Hierarchies Not Random? Emergent Multi-Agent Communication in the Deep Learning Era

Reference 1

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no resolver link, observed 2026-08-06T22:10:18.713635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:10:18.713635Z digest=sha256:981c52d4ea7b0d89fc2d6ee580d23208d667029d6e4b6811b1dad59c7e35db58

Observation 62497cf0-8f7a-4ddd-a086-3649b66723b3 · inbound

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Emergent Multi-Agent Communication in the Deep Learning Era

Reference 80

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no resolver link, observed 2026-08-06T17:57:08.435353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:57:08.435353Z digest=sha256:b0c685f45d4600277f22d6c08e1160eb9fbb037f1c81c434e540d2f0ee6598cc

Observation 82171446-4b61-437b-94c9-376c614bad3f · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Emergent Multi-Agent Communication in the Deep Learning Era

Reference 190

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:21:00.058267Z digest=sha256:250c38330ba6663e2a19ec1c1f4b25bdca19dbe628b2dde2fffa4c2b87dc8bf7

Observation aea67cf3-0f10-486a-8004-d9df651f2555 · inbound

Framing Effects in Independent-Agent Large Language Models: A Cross-Family Behavioral Analysis cites this paper.

Framing Effects in Independent-Agent Large Language Models: A Cross-Family Behavioral Analysis Emergent Multi-Agent Communication in the Deep Learning Era

Reference 12

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arxiv_id, observed 2026-05-15T18:01:25.258505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T18:01:02.298383Z digest=sha256:aba0b46089309e461e46c9273507c785d6a76c9639bc5a3a3d53e5a96ba141d5

Observation b54702f8-08eb-430a-a804-03fb100fff4a · inbound

Emergent Compositional Communication for Latent World Properties cites this paper.

Emergent Compositional Communication for Latent World Properties Emergent Multi-Agent Communication in the Deep Learning Era

Reference 19

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arxiv_id, observed 2026-05-15T08:29:52.168583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T08:28:10.971822Z digest=sha256:6da71d16a5c3249de76cac7a11637657f85ca230744e82bc3a79f547855cff2f

Observation ff69a2cb-8ca6-4eb8-8879-620a4f8c1f1b · inbound

Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems cites this paper.

Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems Emergent Multi-Agent Communication in the Deep Learning Era

Reference 44

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arxiv_id, observed 2026-05-11T05:10:54.453017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:17:49.091192Z digest=sha256:2dc50d37e1c99c43b19381e27ebfe873987939d195dbfaf630b3a6e0bd58d7f9

Observation 4652a84f-5b36-4dab-8a05-081f89b96a19 · inbound

AgentComm: Semantic Communication for Embodied Agents cites this paper.

AgentComm: Semantic Communication for Embodied Agents Emergent Multi-Agent Communication in the Deep Learning Era

Reference 7

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arxiv_id, observed 2026-05-10T13:35:26.342590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T13:34:25.561961Z digest=sha256:fe53963b416c65a9e5cd63101960f27f27db4a631be9f465e22e7ed32ce565e5

Observation 9a8f8ce0-0f5d-453a-987f-013a85576638 · inbound

AI-Gram: When Visual Agents Interact in a Social Network cites this paper.

AI-Gram: When Visual Agents Interact in a Social Network Emergent Multi-Agent Communication in the Deep Learning Era

Reference 15

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arxiv_id, observed 2026-05-11T14:26:03.563462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T21:51:11.985931Z digest=sha256:8662799b9b92d6be905bbca8bc849bf54494ee254d55de0403279b8817170574

Observation 51eb3d40-b50d-4321-8041-1e7e30e3cff6 · inbound

SANEmerg: An Emergent Communication Framework for Semantic-aware Agentic AI Networking cites this paper.

SANEmerg: An Emergent Communication Framework for Semantic-aware Agentic AI Networking Emergent Multi-Agent Communication in the Deep Learning Era

Reference 11

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arxiv_id, observed 2026-05-11T19:41:10.646396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T11:11:42.553754Z digest=sha256:c192390b3c07d5b638199bc3a566c6594e7f027cecd9d8525ed1c11a4a4db474

Observation 1d23bf40-64a8-46eb-9c18-156c02cf5eda · inbound

Generalization Bounds of Emergent Communications for Agentic AI Networking cites this paper.

Generalization Bounds of Emergent Communications for Agentic AI Networking Emergent Multi-Agent Communication in the Deep Learning Era

Reference 11

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arxiv_id, observed 2026-05-12T08:26:24.635889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T01:09:07.953111Z digest=sha256:d0da5f602aa5637ca6ebc0c73c432a8692320964ae63da50239ce0737ee65d7e

Observation 5e608b86-d19e-4e19-b8af-9c87c84ba5da · inbound

Emergent Communication between Heterogeneous Visual Agents through Decentralized Learning cites this paper.

Emergent Communication between Heterogeneous Visual Agents through Decentralized Learning Emergent Multi-Agent Communication in the Deep Learning Era

Reference 15

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arxiv_id, observed 2026-05-13T06:42:25.635015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T06:38:48.402207Z digest=sha256:766a15ef1e730b3ec9209a21db474206bb09a7d770dbc66505c1d9ec481d7d1f

Observation 2e207f97-a079-4282-ab25-899e9312ed83 · inbound

HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol cites this paper.

HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol Emergent Multi-Agent Communication in the Deep Learning Era

Reference 12

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arxiv_id, observed 2026-06-29T22:34:01.674360Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T22:29:52.450436Z digest=sha256:484bfc9b81e1f59fd9d3b44d852dad14dd54dfd3f4548d5ccaeacbb6beff97e4

Observation 7dd6c334-f642-494d-accb-f5327b162cc0 · inbound

Emergent Semantic Representations in World Models through Physical Interaction without Linguistic Supervision cites this paper.

Emergent Semantic Representations in World Models through Physical Interaction without Linguistic Supervision Emergent Multi-Agent Communication in the Deep Learning Era

Reference 13

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arxiv_id, observed 2026-06-30T15:44:48.254412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T15:42:56.314557Z digest=sha256:c769c6ebc7862018f2f01d3ca6dfdca4450010788abb713fb04571a341f7fb41

Observation 7914adfa-2e5d-43b2-b29f-cfd72d82133e · inbound

Self-Regulation through Communication in Evolved Neural Agents cites this paper.

Self-Regulation through Communication in Evolved Neural Agents Emergent Multi-Agent Communication in the Deep Learning Era

Reference 5

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arxiv_id, observed 2026-07-02T01:46:26.948435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T11:30:45.959367Z digest=sha256:8b9b81b6ea20e1e255eb0c0a1069c9e4c283ae2c3309c992bd7b66bfcf44a06a

Observation da3d4cf7-c4a9-4581-8024-03a1a73b8690 · inbound

Aligned but Not Partner-Specific: Distinguishing How Multimodal LLM Agents Succeed in Reference Games Without Human-Like Conventions cites this paper.

Aligned but Not Partner-Specific: Distinguishing How Multimodal LLM Agents Succeed in Reference Games Without Human-Like Conventions Emergent Multi-Agent Communication in the Deep Learning Era

Reference 30

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arxiv_id, observed 2026-07-02T20:57:23.279803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T20:03:09.357988Z digest=sha256:fc7af5551a50b8233da8365d117b4bf46b4029bf068c3587f40a2e0d86892e24

Observation d7b9418d-b049-4e0b-a91e-732226aa0afa · inbound

Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching cites this paper.

Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching Emergent Multi-Agent Communication in the Deep Learning Era

Reference 57

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arxiv_id, observed 2026-07-03T04:07:36.686415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T14:14:27.967249Z digest=sha256:12fad58f9f4a2520cc30f6901f616d237216a9635287981d577f5308f5b4790e

Observation 16378634-25ff-4ee3-b43d-66994b28078c · inbound

Agent-based models for the evolution of morphological alternation patterns cites this paper.

Agent-based models for the evolution of morphological alternation patterns Emergent Multi-Agent Communication in the Deep Learning Era

Reference 104

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arxiv_id, observed 2026-07-03T11:38:04.999553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T09:28:13.001163Z digest=sha256:4105bcde05b2d8b4a235b8429c2bd154c7ad88771ffbca79d8c60f94b1400e79

Observation e9857524-e802-4993-b5e3-1577c06a80c0 · inbound

When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning cites this paper.

When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning Emergent Multi-Agent Communication in the Deep Learning Era

Reference 26

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arxiv_id, observed 2026-06-30T07:24:21.096610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-30T07:21:47.292292Z digest=sha256:b89b90a07f94c4accaf847fb6ef1b2a22c4923570fccc2d1a89b0927883b4757

Observation ba6b7f07-1378-4c7a-9f8c-8363026e9a14 · inbound

EmCom-Diffusion: Probing Visual Reflection in Emergent Languages via Image Generation cites this paper.

EmCom-Diffusion: Probing Visual Reflection in Emergent Languages via Image Generation Emergent Multi-Agent Communication in the Deep Learning Era

Reference 15

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no resolver link, observed 2026-07-12T00:12:10.542116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:12:10.542116Z digest=sha256:8493c9bc47fd4aed08dd4df3c6861b5a22f3e7a3b8fac1fee541210b6e47bd29

Observation eeed42ea-9491-41e7-bd7c-528e71fe7a3d · inbound

Provably Optimal Learning Algorithms for Assistance Games cites this paper.

Provably Optimal Learning Algorithms for Assistance Games Emergent Multi-Agent Communication in the Deep Learning Era

Reference 38

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local_arxiv, observed 2026-07-10T13:47:05.758235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-10T13:46:04.338440Z digest=sha256:be05be149b897ee1cf8dad7fd8dec19f3aaddedb7ac9278bc4ccfe42e4c67135

Observation 9ae4a8ec-b7b8-4bed-97ab-5f5463366d6e · inbound

Early to Share, Late to Save: Synchronisation-Driven Communication Gating in Bandwidth-Constrained Cooperative VLN cites this paper.

Early to Share, Late to Save: Synchronisation-Driven Communication Gating in Bandwidth-Constrained Cooperative VLN Emergent Multi-Agent Communication in the Deep Learning Era

Reference 9

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local_arxiv, observed 2026-07-10T06:26:51.248172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T06:21:25.767839Z digest=sha256:f6c7811e32f78692014c173bdd0805c2d30907f3182118b449234ce4d62d0e6d

Observation 5e63681a-65df-4389-8b45-307d7d4066f8 · inbound

Mixture-of-Translators: Translating KV Caches Across Heterogeneous Large Language Models cites this paper.

Mixture-of-Translators: Translating KV Caches Across Heterogeneous Large Language Models Emergent Multi-Agent Communication in the Deep Learning Era

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:13:25.880074Z digest=sha256:46c97761842587ecf28daf238435fa0a00b5f65485d90260c66a7392b384f4b0

Observation 74148915-977f-4dc5-9b38-b73e850792fc · inbound

A Dynamic-Semantics Framework for Grounding Human Referring Expressions in Visual Perceptual Data cites this paper.

A Dynamic-Semantics Framework for Grounding Human Referring Expressions in Visual Perceptual Data Emergent Multi-Agent Communication in the Deep Learning Era

Reference 6

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source=pdf_text observed=2026-08-14T04:34:27.164447Z digest=sha256:00029056dfb68a7a200c87d4ab742f195623ee3c73d4b89c8e4c8a7c8511d867