Paper Citation Record · LEDGER

Emergent Language: A Survey and Taxonomy

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.02645.

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

pith.paper-citation-record.v1
2409.02645 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:43.119852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:13:21.930630Z

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 1c11ab82-09de-422a-b504-83365f4ef4d9 · 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 Language: A Survey and Taxonomy

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:13:21.933375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 432c9a4f-b81c-42f0-8993-c19d0b6db132 · 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 Language: A Survey and Taxonomy

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-10T23:01:43.119852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39427626-96cd-45f7-b29e-4926c68eb168 · inbound

Forbidden Science: Dual-Use AI Challenge Benchmark and Scientific Refusal Tests cites this paper.

Forbidden Science: Dual-Use AI Challenge Benchmark and Scientific Refusal Tests Emergent Language: A Survey and Taxonomy

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T19:21:19.103143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e69d7fdb-f292-4db7-acf7-933146ef6bec · inbound

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

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning Emergent Language: A Survey and Taxonomy

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:23.101998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.