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Paper Citation Record · LEDGER

An Efficient Open World Environment for Multi-Agent Social Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2508.15679.

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

pith.paper-citation-record.v1
2508.15679 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:47:15.543531Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:57:26.476025Z

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 a3be67b6-6dcd-4c6d-a95d-4b45d9355c5e · inbound

The Liouville model in the $L^1$ phase: coupling and extreme values cites this paper.

The Liouville model in the $L^1$ phase: coupling and extreme values An Efficient Open World Environment for Multi-Agent Social Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T17:47:15.543531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:47:15.543531Z digest=sha256:c424c49184bb3a090f7862ff4dd4e7f567397aead8bf6665e44a0e46c6aa3a2e

Observation ddf573f2-442c-44d0-86d3-9496a13d9d89 · inbound

Toward Virtuous Reinforcement Learning: A Critique and Roadmap cites this paper.

Toward Virtuous Reinforcement Learning: A Critique and Roadmap An Efficient Open World Environment for Multi-Agent Social Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:58:51.912009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T01:55:22.266761Z digest=sha256:015c522e3ec1de5b3b4efa3a1e7e528c3a8a4299363b425f62de72e2bed39470

Observation 043edb4e-f88b-4561-a60c-2f835456b35f · inbound

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents cites this paper.

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents An Efficient Open World Environment for Multi-Agent Social Learning

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:26.477512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:18:56.039587Z digest=sha256:3ec4810e50dd4e6b8b5c84b804802ffeb71d669edfec7261544683181fc2e2eb