Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Investigation of Supervised Learning Methods for Authorship Attribution in Short Hinglish Texts using Char & Word N-grams
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1812.10281.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:44:36.730977Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T22:53:43.446151Z
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 7cae4409-f9d0-4d64-83ac-10001bfdfd0c · inbound
AIDBench: A benchmark for evaluating the authorship identification capability of large language models cites this paper.
AIDBench: A benchmark for evaluating the authorship identification capability of large language models An Investigation of Supervised Learning Methods for Authorship Attribution in Short Hinglish Texts using Char & Word N-grams
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:44:36.730977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4582f5ab-027f-4c3b-9668-9867f1dbfa8f · inbound
Human Variability vs. Machine Consistency: A Linguistic Analysis of Texts Generated by Humans and Large Language Models cites this paper.
Human Variability vs. Machine Consistency: A Linguistic Analysis of Texts Generated by Humans and Large Language Models An Investigation of Supervised Learning Methods for Authorship Attribution in Short Hinglish Texts using Char & Word N-grams
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T22:53:43.481657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.