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Paper Citation Record · LEDGER

Emergence of Grounded Compositional Language in Multi-Agent Populations

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1703.04908.

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

pith.paper-citation-record.v1
1703.04908 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:01:46.035582Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

214
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2f215000-c7d9-4791-bffa-7215023bd8b5 · inbound

Arena: a toolkit for Multi-Agent Reinforcement Learning cites this paper.

Arena: a toolkit for Multi-Agent Reinforcement Learning Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-24T18:36:19.045399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-24T18:35:31.633881Z digest=sha256:df455c6459ef2afebf4761c231b2eef459c7288284d642bfba69a1d41579267f

Observation a65a3daa-f5dd-430e-9325-d121766b2c46 · inbound

Mastering emergent language: learning to guide in simulated navigation cites this paper.

Mastering emergent language: learning to guide in simulated navigation Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T13:26:30.478643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:26:30.478643Z digest=sha256:34b3c1d0819927ec9ed1c1d85bfe590d607ae5e52f95d62e18487ef6b9c99ef0

Observation 3cfb1c0b-28bb-4d84-87da-879472406a06 · inbound

Universal Policies to Learn Them All cites this paper.

Universal Policies to Learn Them All Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T11:23:43.110390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:23:43.110390Z digest=sha256:0495a27d7e42d58fc70df684cebb1fc7f09b9093591e72cd2011982c05753965

Observation f1271412-a02b-444b-a592-1f1e39f34381 · inbound

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft cites this paper.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.234782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.234782Z digest=sha256:f9be595d474cd5352996dee9f68ba1f7f2b69a3024a5308f5b19b6d23e5f4d22

Observation fc4fd33d-aa2c-4140-81c8-d98bab10d1f8 · inbound

Interpretable Emergent Language Using Inter-Agent Transformers cites this paper.

Interpretable Emergent Language Using Inter-Agent Transformers Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:46.035582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:46.035582Z digest=sha256:6dce673c8892ff9549241eed8df7f6b35ec2ae18c514f12297d5e57d919156cf

Observation 9ec82759-c4d1-4e63-b425-8c4b5d2cb23e · inbound

Application of LLMs to Multi-Robot Path Planning and Task Allocation cites this paper.

Application of LLMs to Multi-Robot Path Planning and Task Allocation Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:17.848779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:48:17.848779Z digest=sha256:31ef73fdc39e0b1ea03ae3adf04044b7a3d1ebb04f81fb139a220fac21344285

Observation 3833da55-f7f1-454f-88c5-71f01979d641 · inbound

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control cites this paper.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T15:55:16.484863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:55:16.484863Z digest=sha256:8a4ddbcc7ca6196f599b62b5a871fe36f156233f82941f8994c5424f337a829c

Observation 2d802fed-bdba-4328-9d24-7745d7c4447b · inbound

Do LLM-derived graph priors improve multi-agent coordination? cites this paper.

Do LLM-derived graph priors improve multi-agent coordination? Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:11:20.216082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T06:09:08.100187Z digest=sha256:ba73c92f9e22490226a90cec17c94e51cc376d1d6bc27efde4d7af32b8a847fd

Observation 7f43e6d8-5af4-4897-9270-1f649b8eeadb · inbound

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning cites this paper.

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:16:09.212611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-09T20:22:58.061772Z digest=sha256:cb96d83b971703b3df9e52c85570824f352bd0b6403d2187a7a84db7db5cd100

Observation 1fb780b3-f850-48a3-b366-e616605d49ab · inbound

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-06-30T22:15:05.765399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-30T22:11:35.277901Z digest=sha256:6a890caf146eca512075a60bbee99aac39c4f813d6a34b2a852f9935177ff1e4

Observation d6fef239-4932-4cca-8bf9-a3b7d6da6ed6 · inbound

ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning cites this paper.

ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-04T17:20:00.535292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-25T23:46:50.183064Z digest=sha256:7948828220f7a927a890ddc02a7180930edb72cf08ebcd279c4ed03ea4eabe8c

Observation db784c32-020b-4344-bf48-9492e234f8e6 · inbound

Explaining Reinforcement Learning Agents via Inductive Logic Programming cites this paper.

Explaining Reinforcement Learning Agents via Inductive Logic Programming Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T04:37:28.114581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:37:28.114581Z digest=sha256:25df85a9768628891880fc30825bbc964f1fe6d656e91cbf8bdabe0fccdd0af8

Observation b04f1d3a-804b-40f2-b24f-871723b01686 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 238

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:40.435426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:40.435426Z digest=sha256:2acc131bed251b2435a995dfaea8ed16c32f53fe4de3772c52e2a1f4534e1c15

Observation c783cef6-1bb3-42c1-acbf-b3149e517db9 · inbound

Multi-Agent Reinforcement Learning via Agent-Specific Preference cites this paper.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T04:36:17.671891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:36:17.671891Z digest=sha256:fedbecfe52d142fa78fe653fc25751d7d6ddc59d0f7a8647da5f3a60ab0ca8d7