Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.07666.
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 2026-08-07T11:06:07.085089Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T19:05:47.009943Z
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 fa4c75aa-5704-438a-a89e-d432553f7329 · inbound
GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization cites this paper.
GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T19:05:47.012974Z
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 1cffd695-ba69-4735-a1d5-b7eaa88dcf4a · inbound
Measuring Human Involvement in AI-Generated Text: A Case Study on Academic Writing cites this paper.
Measuring Human Involvement in AI-Generated Text: A Case Study on Academic Writing ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:06:07.085089Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53fd23dd-2844-4032-b98c-2c0f0ece1a9d · inbound
Stylometry recognizes human and LLM-generated texts in short samples cites this paper.
Stylometry recognizes human and LLM-generated texts in short samples ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:15:09.935507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e32592a-65e8-4916-8b41-0602af6668ab · inbound
Relativistic Quantum Thermal Machine: Harnessing Relativistic Effects to Surpass Carnot Efficiency cites this paper.
Relativistic Quantum Thermal Machine: Harnessing Relativistic Effects to Surpass Carnot Efficiency ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:45:34.660461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d6c68f2-c158-4819-9bee-fad010255130 · inbound
MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval cites this paper.
MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:57:05.159712Z
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 a00573d7-a75f-4bb8-897c-417232591d91 · inbound
Show Me How You Reason and I'll Tell You Who You Are: Reasoning Graphs for Robust LLM Authorship Attribution cites this paper.
Show Me How You Reason and I'll Tell You Who You Are: Reasoning Graphs for Robust LLM Authorship Attribution ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:48:27.305070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.