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Paper Citation Record · LEDGER

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.13332.

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

pith.paper-citation-record.v1
2004.13332 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:17:46.840121Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:56.400779Z

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 184152d7-7055-48b0-a7db-50860fae2eae · inbound

Balancing Profit and Fairness in Risk-Based Pricing Markets cites this paper.

Balancing Profit and Fairness in Risk-Based Pricing Markets The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:17:46.840121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:17:46.840121Z digest=sha256:6a536018a36f55589641f96346508b52d01cc1932941b1ee4936af727d259bef

Observation 82cc89ee-5aa8-4929-83a4-769380264056 · inbound

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra cites this paper.

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:47.642493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:47.642493Z digest=sha256:d061f4626c95bc3cbc8135dca559a2c02fe796295a45147b83758f1688e769e8

Observation bd678a95-e921-4ad0-a4e0-e117afd37ccb · inbound

Computable Fairness: Boltzmann-Softmax Control for AI Resource Allocation cites this paper.

Computable Fairness: Boltzmann-Softmax Control for AI Resource Allocation The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T00:35:08.445515Z

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=2026-05-25T00:34:09.076632Z digest=sha256:a453695ce585d0c672894bb05a843f978740b9fe75f6368a8b1ad473e21ba9cd

Observation 8ae48e27-e76a-4c5b-9cb9-ddd00b0f5ce3 · inbound

Solipsistic Superintelligence is Unlikely to be Cooperative cites this paper.

Solipsistic Superintelligence is Unlikely to be Cooperative The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:26:29.793063Z

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=arxiv_source observed=2026-06-28T10:00:41.374121Z digest=sha256:9f6f2accd0b04803d43e0388f1a6dcbf1024ce07c955b5477bbe28ad2a003034

Observation 40d648d9-3736-4dd4-9073-6c8466ad3a5a · inbound

Learn to Match: Two-Sided Matching with Temporally Extended Feedback cites this paper.

Learn to Match: Two-Sided Matching with Temporally Extended Feedback The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:36:56.402580Z

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=2026-06-28T02:02:59.456136Z digest=sha256:bec5c8cea77258d9e8f33ba6fbc847a1c278a0c53129062d545819f1f37c09e9