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Paper Citation Record · LEDGER

GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.07969.

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

pith.paper-citation-record.v1
2305.07969 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:43:55.431434Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:05:47.128651Z

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 6236a9dc-8674-4b69-84c2-8ffe5bd6184b · inbound

GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization cites this paper.

GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:05:47.130855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T19:03:32.902797Z digest=sha256:a0dc8986ac33ba3735eda95d34da12ff938d55d348d15852fb6c95048f12b4c6

Observation c2ff0700-d1ca-4478-9bb4-0a5e3a7be138 · inbound

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications cites this paper.

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T17:43:55.431434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:43:55.431434Z digest=sha256:b17fd56da0a892392cc5eb0b4c6ae4198a39cb7998e0503b162bbfbdd639fda9

Observation bcb1f3c6-a2cf-45d7-b128-ecc895deaebd · 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 GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T11:06:07.148119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:06:07.148119Z digest=sha256:6373b761388f1c1f831fbd59669cf398bab456bb72b6155b91ec823ab2c9cb7b

Observation 278dccad-d350-472b-90e6-076c3f117fd8 · inbound

Detecting LLM-generated Code with Subtle Modification by Adversarial Training cites this paper.

Detecting LLM-generated Code with Subtle Modification by Adversarial Training GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T16:34:08.879385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:34:08.879385Z digest=sha256:d4522ce1c24791f8fe32c0733f6c067a3b12105732d2dc2513bc08e9d317a9fc

Observation 0834f784-06bf-47be-8578-0e02ae52a0a3 · inbound

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text cites this paper.

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T00:39:43.129022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:39:43.129022Z digest=sha256:dcba5f8a4d49613a60e2febf33ca285c4f03bfbed4ac92c9bd5f597f80d879dc