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Paper Citation Record · LEDGER

LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.01158.

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

pith.paper-citation-record.v1
2402.01158 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:22:08.179012Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:55:23.600949Z

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 3d0b00f0-084e-41a4-8888-443b924cc723 · inbound

LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA cites this paper.

LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T13:22:08.179012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:22:08.179012Z digest=sha256:42678e56907e338b8d0fe6e55cffef276c70d2d2d3b1c8543fba5d72f68302a9

Observation 4e1e7bde-7ea0-4dd5-90e0-354a71c8de6f · inbound

Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement cites this paper.

Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:55:23.604006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T04:52:53.554537Z digest=sha256:d471428b007327354cd61178fed946207c2ea2dc0275cc3bbb3b06c85438a704