Paper Citation Record · LEDGER

On the (In)Effectiveness of Large Language Models for Chinese Text Correction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.09007.

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

pith.paper-citation-record.v1
2307.09007 v2

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:36:24.683368Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:52:30.289595Z

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 61dbe5ee-4031-4214-a175-5db7c137c3a6 · inbound

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning cites this paper.

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning On the (In)Effectiveness of Large Language Models for Chinese Text Correction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T13:36:24.683368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 559b0915-0856-4a07-a8eb-193a490c8bea · inbound

EXECUTE: A Multilingual Benchmark for LLM Token Understanding cites this paper.

EXECUTE: A Multilingual Benchmark for LLM Token Understanding On the (In)Effectiveness of Large Language Models for Chinese Text Correction

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:32.027737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5d24d71-0d50-4566-8262-5c1bb4f26cf4 · inbound

Mixture of Small and Large Models for Chinese Spelling Check cites this paper.

Mixture of Small and Large Models for Chinese Spelling Check On the (In)Effectiveness of Large Language Models for Chinese Text Correction

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:52:30.294699Z

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.

Observation 88b7081f-d076-4c88-80a2-4794176568c7 · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI On the (In)Effectiveness of Large Language Models for Chinese Text Correction

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-02T11:29:26.857923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.