Paper Citation Record · LEDGER

Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2108.02904.

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

pith.paper-citation-record.v1
2108.02904 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:06:08.959955Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:08:52.812551Z

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 5c56ec2b-b6e4-4ad9-9563-daebc6ae82c8 · inbound

The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models cites this paper.

The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:08:52.814928Z

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.

Observation 2f6685b0-4f4d-4c3f-8e43-5c91c070c9ca · inbound

ADAGE: A generic two-layer framework for adaptive agent based modelling cites this paper.

ADAGE: A generic two-layer framework for adaptive agent based modelling Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T20:06:08.959955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3efe2f5-77f7-41d5-87b8-8dc1b1aa99eb · 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 Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T15:28:46.830388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45d26ab9-c509-4860-b2ff-347535f538b6 · inbound

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game cites this paper.

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:09.370830Z

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.

Observation 083787f0-7f99-4872-bf64-92ad9d6f4eab · inbound

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game cites this paper.

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:56:15.144275Z

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.

Observation 345b7ce5-29f2-4540-bc54-062c65c820ed · inbound

EconAI: Dynamic Persona Evolution and Memory-Aware Agents in Evolving Economic Environments cites this paper.

EconAI: Dynamic Persona Evolution and Memory-Aware Agents in Evolving Economic Environments Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T17:47:32.360832Z

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.

Observation a975993b-a186-492f-9bf0-9e3c34dd226f · inbound

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction cites this paper.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T11:13:43.712685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.