Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From ChatGPT to DeepSeek: Can LLMs Simulate Humanity?
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.18210.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:28:06.244599Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T18:17:35.423273Z
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 75a09147-173a-4587-a39b-af8a57a77e7b · inbound
Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise cites this paper.
Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise From ChatGPT to DeepSeek: Can LLMs Simulate Humanity?
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:13:20.879625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1fc0e30-f748-463c-ba3b-38d6f81fdbf8 · inbound
LLM-Based Social Simulations Require a Boundary cites this paper.
LLM-Based Social Simulations Require a Boundary From ChatGPT to DeepSeek: Can LLMs Simulate Humanity?
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:28:06.244599Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0b77e9d-6c7c-4b2c-8be6-9838294d0071 · inbound
ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles cites this paper.
ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles From ChatGPT to DeepSeek: Can LLMs Simulate Humanity?
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T18:17:35.427608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.