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 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations 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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:11:20.696348Z
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 a678a382-c43d-4fa5-81b3-ae0df1b25fb9 · inbound
Trigger$^3$: Refining Query Correction via Adaptive Model Selector cites this paper.
Trigger$^3$: Refining Query Correction via Adaptive Model Selector On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:53:39.324984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed42e49b-111f-4dcc-8f01-db6a4a70c217 · inbound
Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning cites this paper.
Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:00.572195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdbf64a5-d4db-42bc-b7f8-098ab3888d47 · inbound
Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion cites this paper.
Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:57:33.126810Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 105bc093-2128-4d5c-8f38-a8dcd5e72b83 · inbound
Loss-Aware Curriculum Learning for Chinese Grammatical Error Correction cites this paper.
Loss-Aware Curriculum Learning for Chinese Grammatical Error Correction On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:58:16.545829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 efcce588-c70c-4bff-a738-0471cd040d3e · inbound
RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction cites this paper.
RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:11:20.696348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28feb3e2-5b51-4866-b6bf-567812518205 · inbound
CEC-Zero: Chinese Error Correction Solution Based on LLM cites this paper.
CEC-Zero: Chinese Error Correction Solution Based on LLM On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:44:05.746481Z
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 2026-08-23T06:30:58.430688+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.