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Paper Citation Record · LEDGER

Linguistic-style-aware Neural Networks for Fake News Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.02792.

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

pith.paper-citation-record.v1
2301.02792 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:04:33.692806Z

measured 0 of 1 external citation measurements

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 b7067ad3-79e0-43c0-a16a-a43b64bba5dc · inbound

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions cites this paper.

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions Linguistic-style-aware Neural Networks for Fake News Detection

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T17:04:33.692806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:04:33.692806Z digest=sha256:be473774b3c8f22fa6e8f1c132f07240322fbb0c0f4bca35eea3ef0a60d86c08

Observation 3e2dc17b-eff2-4e53-a679-c9b04af4c55b · inbound

Unpacking Hateful Memes: Presupposed Context and False Claims cites this paper.

Unpacking Hateful Memes: Presupposed Context and False Claims Linguistic-style-aware Neural Networks for Fake News Detection

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-04T10:26:23.971077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:26:23.971077Z digest=sha256:c922996f606211be93a7151247dc7ac9358d9845e1a8a062d70393f057eb9b73