Paper Citation Record · LEDGER

Large Language Models Penetration in Scholarly Writing and Peer Review

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.11193.

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

pith.paper-citation-record.v1
2502.11193 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:49.778561Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:34.557235Z

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 11321aa7-c759-419b-a338-722074189818 · inbound

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 cites this paper.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Large Language Models Penetration in Scholarly Writing and Peer Review

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:49.778561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44bf175c-40e0-4baf-b2cc-df3b24654e37 · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? Large Language Models Penetration in Scholarly Writing and Peer Review

Reference 210

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:15.195013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 282ed34e-96da-4f1a-a157-3d79f7cf8b83 · inbound

CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection cites this paper.

CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection Large Language Models Penetration in Scholarly Writing and Peer Review

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:26.509967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2458792e-a6b9-4e79-9e24-ee0cf207b9c2 · inbound

AI use in American newspapers is widespread, uneven, and rarely disclosed cites this paper.

AI use in American newspapers is widespread, uneven, and rarely disclosed Large Language Models Penetration in Scholarly Writing and Peer Review

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:55:53.979845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe8df388-3d0d-44dd-9ccf-aaaade69ad68 · inbound

Sem-Detect: Semantic Level Detection of AI Generated Peer-Reviews cites this paper.

Sem-Detect: Semantic Level Detection of AI Generated Peer-Reviews Large Language Models Penetration in Scholarly Writing and Peer Review

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:01:19.270492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc04b40a-3411-4481-955b-48adfaccda46 · inbound

PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality cites this paper.

PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality Large Language Models Penetration in Scholarly Writing and Peer Review

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T04:09:34.559004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.