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Paper Citation Record · LEDGER

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.03212.

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

pith.paper-citation-record.v1
2501.03212 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:26:32.793453Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T05:44:38.907963Z

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 ed4a0339-e4b5-4748-b2ef-9393a8aeeaa8 · inbound

Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry cites this paper.

Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T12:26:32.793453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:26:32.793453Z digest=sha256:07677b151c4888cd74c98863323db520dec509fd451c0367792b043a0cf3df81

Observation 61c1713f-adf4-40d5-b7a0-0d48e3e398f3 · inbound

Seeing the Poem: Image-Semantic Detection of AI-Generated Modern Chinese Poetry with MLLMs cites this paper.

Seeing the Poem: Image-Semantic Detection of AI-Generated Modern Chinese Poetry with MLLMs Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:44:38.910517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-22T05:41:37.202937Z digest=sha256:7b5398d21992f49dcecc374cd27d3604e87541a8ffddd33448300ff2c8792c85