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Paper Citation Record · LEDGER

Multi-Agent Cooperation and the Emergence of (Natural) Language

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1612.07182.

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

pith.paper-citation-record.v1
1612.07182 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:54:44.128708Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:47:05.759420Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 62416596-1eb8-4359-8097-1aa993049d47 · inbound

Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning cites this paper.

Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning Multi-Agent Cooperation and the Emergence of (Natural) Language

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T14:54:44.128708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:44.128708Z digest=sha256:31fd88d099a510a528312e382dd5d8d4f79a76d99f37df08818d102667cd6ccd

Observation 168556bb-0485-4a9f-ab78-cda971ac78f6 · inbound

Effective Reward Specification in Deep Reinforcement Learning cites this paper.

Effective Reward Specification in Deep Reinforcement Learning Multi-Agent Cooperation and the Emergence of (Natural) Language

Reference 183

Resolution
unresolved
no resolver link, observed 2026-08-11T19:09:54.706018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:09:54.706018Z digest=sha256:a6340b9df431744234e71d9479b9e42a3a48a5b405210edb775e66ca686423cc

Observation 8ad8f962-e4ac-47e5-92d7-422a14c55437 · inbound

AI-AI Esthetic Collaboration with Explicit Semiotic Awareness and Emergent Grammar Development cites this paper.

AI-AI Esthetic Collaboration with Explicit Semiotic Awareness and Emergent Grammar Development Multi-Agent Cooperation and the Emergence of (Natural) Language

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T15:17:16.433499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:17:16.433499Z digest=sha256:088ce893b8214d86e771f1f8b84f4e66f61ab18b01b87415237de16908f99d61

Observation a3915739-0a92-4ed0-b2bc-4fb99f699c47 · inbound

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

Agent-based models for the evolution of morphological alternation patterns Multi-Agent Cooperation and the Emergence of (Natural) Language

Reference 100

Resolution
verified exact
local_arxiv, observed 2026-07-03T11:38:05.007711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T09:28:13.001163Z digest=sha256:7a1d545066b3e918e17a76d635745f5dd6861b28c122b22c90a78af62293fae7

Observation e49d094d-3a26-4bab-af74-441d52f5537d · inbound

Provably Optimal Learning Algorithms for Assistance Games cites this paper.

Provably Optimal Learning Algorithms for Assistance Games Multi-Agent Cooperation and the Emergence of (Natural) Language

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-10T13:47:05.760816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-10T13:46:04.338440Z digest=sha256:14370a43adc596b9c62fceaecb85a9794996ad411098e2bd2ece3a4e41ecfcb6