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Paper Citation Record · LEDGER

Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.01761.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2306.01761 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:17:36.539308Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-24T02:03:43.887184Z

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 f54de16f-e5f3-4d8a-990a-f9135f6597ca · inbound

Topic-Based Watermarks for Large Language Models cites this paper.

Topic-Based Watermarks for Large Language Models Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:03:43.890375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-24T02:03:15.833131Z digest=sha256:a3f2c9504ab2b8dec16eaed4e5c6438843f6654b3a9a605c72bf9c3cfc54afa3

Observation c3f68092-daf4-4d06-b88e-ea67ca04c2ad · inbound

Using Machine Learning to Distinguish Human-written from Machine-generated Creative Fiction cites this paper.

Using Machine Learning to Distinguish Human-written from Machine-generated Creative Fiction Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T15:17:36.539308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:17:36.539308Z digest=sha256:36502ebe606526ae909c906cd8266544e3b13331db736b0373f991c3e128872a

Observation 2bca76f8-f470-45d9-a223-c79e6ac17b1f · inbound

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity cites this paper.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T21:57:16.084870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:57:16.084870Z digest=sha256:0dcd25ab37501a3c9c10572a59ae5fa294e3f789f1a455109ef95110ea636f47