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Paper Citation Record · LEDGER

Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion

As of 18 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2605.31170.

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

pith.paper-citation-record.v1
2605.31170 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:38:46.255942Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e4922f1-751a-46ec-8ea6-97f0d388b4b6 · outbound

This paper cites LLMs can Realize Combinatorial Creativity: Generating Creative Ideas via LLMs for Scientific Research.

Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion LLMs can Realize Combinatorial Creativity: Generating Creative Ideas via LLMs for Scientific Research

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:42:46.642818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T22:38:46.255942Z digest=sha256:2c7d9bd71ab285724ccc0d6e5553953df317b6990ef0e4b76017a590b07ff7c1

Observation 077d9ee8-7917-4b8f-ac8f-941ca805e1c2 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T22:42:46.645057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T22:38:46.255942Z digest=sha256:8815f999d5d9f60e46624ede42ac4c4937b9bdafdc1784b9aa19ff501fb087a5

Observation dc3f68dd-d98e-43f0-9cd3-5f89cd16d0e7 · outbound

This paper cites Appendix B: Examples from the oversight-evasion framing subset Table 3 provides oversight evasion examples.

Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion Appendix B: Examples from the oversight-evasion framing subset Table 3 provides oversight evasion examples

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T22:38:46.255942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T22:38:46.255942Z digest=sha256:768c8c9092ee06ab2d7c97f8a5614c7f0f6117693fc53d3224c94226e4868cdd

Pith citing papers

No inbound Pith citation observations are available.