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Paper Citation Record · LEDGER

AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.03519.

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

pith.paper-citation-record.v1
2411.03519 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:47.386502Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:28:39.379768Z

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 f25ee928-77ca-4228-97cf-f5bf27d343fc · inbound

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs cites this paper.

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:47.386502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:47.386502Z digest=sha256:dfdaf403b0bde6019f0dcee0fd230296c95dc32721809e16c4c45bcc4bb5c270

Observation 7bd79b3c-a11c-46df-9a23-54ed11e29513 · inbound

WhatIf: Interactive Exploration of LLM-Powered Social Simulations for Policy Reasoning cites this paper.

WhatIf: Interactive Exploration of LLM-Powered Social Simulations for Policy Reasoning AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:28:39.381006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:16:14.532250Z digest=sha256:4ef04783c0eb46814305a030c4441ed3182f981b52b67fde3d5950af74dff01a