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Paper Citation Record · LEDGER

The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.02755.

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

pith.paper-citation-record.v1
2108.02755 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:16:21.614612Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:34:09.337186Z

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 67ee1de3-2208-419c-a311-c9bb537f2229 · inbound

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma cites this paper.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T20:16:21.614612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:16:21.614612Z digest=sha256:0e0bf40bcf0338d1a5a38c7d92b521616aab87913bd82a23d5b07bf9e42bd767

Observation 34c4f3d1-8cc1-40b0-bf5a-e335ffff6bea · inbound

Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies cites this paper.

Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-10T05:34:09.344977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T05:34:09.289542Z digest=sha256:46b67e29cd92e6e68439022fac436bacb4f449a92098a52f5888c32e26cded1f