Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.00023.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:12:43.528421Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T15:36:34.382460Z
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 49c94a51-ef4b-451c-bad9-b55be04c99ea · inbound
What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models cites this paper.
What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:12:43.528421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b8fb649-0c0d-4c54-92db-5f9375cb86e2 · inbound
Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling cites this paper.
Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T15:36:34.385153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation df7dff94-96a7-424c-8e54-e7f8c789e3fd · inbound
Assessing the Business Process Modeling Competences of Large Language Models cites this paper.
Assessing the Business Process Modeling Competences of Large Language Models Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:54:51.776563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5706375a-4bd6-4b3d-a8f9-e4dab9a359b4 · inbound
Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution cites this paper.
Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:06:26.421551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.