Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMs Can Simulate Standardized Patients via Agent Coevolution
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.11716.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:41:11.091609Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T02:57:38.586575Z
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 e59682c6-3b48-4ce3-8252-4b0ed007aafb · inbound
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review LLMs Can Simulate Standardized Patients via Agent Coevolution
Reference 166
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:57:38.588154Z
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.
Observation 8c0f131c-f739-4fdf-9d22-728136fdf9ea · inbound
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence LLMs Can Simulate Standardized Patients via Agent Coevolution
Reference 214
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.120894Z
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.
Observation 3a30233f-dc47-4ab7-af8c-1e9a6ae38f25 · inbound
Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies cites this paper.
Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies LLMs Can Simulate Standardized Patients via Agent Coevolution
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:41:11.091609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.