Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.08123.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:15:09.551073Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:31:00.424105Z
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 4f059239-91eb-41ac-83a9-c479b0dc4172 · inbound
Stylometry recognizes human and LLM-generated texts in short samples cites this paper.
Stylometry recognizes human and LLM-generated texts in short samples Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:15:09.551073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b72ff93-504a-43b9-8ed4-115d0d25ec49 · inbound
Learning Text Styles: A Study on Transfer, Attribution, and Verification cites this paper.
Learning Text Styles: A Study on Transfer, Attribution, and Verification Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:13:26.432205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46b5c6a0-7b31-4d39-8cf1-152844587d40 · inbound
Connecting online criminal behavior with machine learning: Using authorship attribution to analyze and link potential online traffickers cites this paper.
Connecting online criminal behavior with machine learning: Using authorship attribution to analyze and link potential online traffickers Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification
Reference 3
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T10:31:00.428628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.