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Paper Citation Record · LEDGER

EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.06904.

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

pith.paper-citation-record.v1
2505.06904 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:22:46.175025Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:34:01.603767Z

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 83486196-b3dd-44ec-b314-2d6f8f1acebb · inbound

Linguistics and Human Brain: A Perspective of Computational Neuroscience cites this paper.

Linguistics and Human Brain: A Perspective of Computational Neuroscience EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation

Reference 169

Resolution
unresolved
no resolver link, observed 2026-08-03T03:22:46.175025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:22:46.175025Z digest=sha256:cc3998b9b58d098763bad24915e67c19eeb76c5c54b6aa64065822e6e0306d8f

Observation bb20ba41-68e9-4448-a3f7-ef14cd282f08 · inbound

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

HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:01.607055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T22:29:52.450436Z digest=sha256:ce8a1819967d6455734ed9a2bbf9f721ecc541cfd62eff9d99f71baa952cef92

Observation facf3953-88c1-4ffe-87bb-c367a4a38c44 · inbound

Step-Level Preference Learning for Generative Agents in Social Simulations cites this paper.

Step-Level Preference Learning for Generative Agents in Social Simulations EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T02:00:26.009420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:00:26.009420Z digest=sha256:a1092477a7c9bf2d54cc16d6391af84ac31a5b066b19ed89419d99516329b563