Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the (In)Effectiveness of Large Language Models for Chinese Text Correction
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2307.09007.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T11:29:26.857923Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 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.