Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.16307.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-14T17:44:19.274990Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T17:47:32.373711Z
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 5011bf3b-4212-408e-af31-e1338601e07e · inbound
Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game cites this paper.
Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T18:21:09.361951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7e9fbb27-8af3-44b0-bc27-6d257fd1b1bd · inbound
Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game cites this paper.
Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T01:56:15.150417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 68033622-8cfb-4ca0-ac89-ad4797afff71 · 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 TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:47:32.375919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.