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Paper Citation Record · LEDGER

AI vs. Human -- Differentiation Analysis of Scientific Content Generation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.10416.

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

pith.paper-citation-record.v1
2301.10416 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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:14:35.215146Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:21:19.240873Z

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 8e1ecab0-7004-43dc-af29-3140d5f91b7c · inbound

Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking cites this paper.

Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking AI vs. Human -- Differentiation Analysis of Scientific Content Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T18:14:35.215146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:14:35.215146Z digest=sha256:c9739c247ae37af623f9b2398579172a9528c897545397d3a9c48dc36130f9e1

Observation f4602bd7-c295-400f-b559-e630b7a4b51f · 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 AI vs. Human -- Differentiation Analysis of Scientific Content Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:42.815164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:53:42.815164Z digest=sha256:ac0b6805c0054b90524b161c49a83dc4c81078d42e5db737dbe9b40562334780

Observation df765ffc-e4af-4af5-829a-3fc10d5b3b43 · inbound

People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text cites this paper.

People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text AI vs. Human -- Differentiation Analysis of Scientific Content Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T14:07:27.886557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:07:27.886557Z digest=sha256:87f23828c6e6f6514f1968006d90e8c14d71473587b6a24f82756b6b66475c0e

Observation 955f9f4a-1edd-4698-9fbf-dc638abc4644 · inbound

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm AI vs. Human -- Differentiation Analysis of Scientific Content Generation

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-04T22:33:26.987526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:33:26.987526Z digest=sha256:3988ef101fd772445ab4883bdfaa9ff3f9f0ac74924054e1f7715a4689356c48

Observation 112b29a3-041f-40f2-a11d-c4572257bc70 · inbound

Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI cites this paper.

Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI AI vs. Human -- Differentiation Analysis of Scientific Content Generation

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:21:19.286853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T01:50:31.124812Z digest=sha256:547de06cdf2f67b5e6bcd53ff448be5e8f582374136a53c693422743705ba528