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Paper Citation Record · LEDGER

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.01746.

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

pith.paper-citation-record.v1
2304.01746 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-04T01:50:12.182981Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:59:24.738379Z

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 9b9f8c21-8a0b-47ae-b5b6-4406936b53be · inbound

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

Reference 268

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:30:45.098691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-17T22:30:44.520703Z digest=sha256:cf75add4ba4d3215565109f1c5ecd75e727a4bd17f60a9d5b57e310e16756d11

Observation ea7e52fa-990c-480a-8b6e-2e28cd1c54e5 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:47:48.926579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:6f452296223d0912143636d55baf7bbb87f3ed9617f637ee36f258e789173b51

Observation 48190b96-e38a-40e1-8ffa-e336de009263 · inbound

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models cites this paper.

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:57:23.373218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-06-27T20:02:50.169589Z digest=sha256:88bfa93d8f6f90646f462f795e00823df1d3e6f84d205f16ed27ab1060572d8b

Observation 0443d950-1eb3-49c9-a9a4-7585e1125d48 · inbound

Prompt Framing Distorts Count-Based Evaluation of LLM Error Detection: Evidence from Numeric Anchoring cites this paper.

Prompt Framing Distorts Count-Based Evaluation of LLM Error Detection: Evidence from Numeric Anchoring Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T01:59:24.743985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=arxiv_source observed=2026-07-04T01:50:12.182981Z digest=sha256:3d062ff85abb5b9c2ff54255ef52c1b9e9de1ace337f52c62d1158c2e199245e