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Paper Citation Record · LEDGER

A Hybrid Attention Framework for Fake News Detection with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.11967.

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

pith.paper-citation-record.v1
2501.11967 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 2026-08-10T00:33:43.887384Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:39:55.318647Z

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 bf162bd8-4f4c-4750-8726-b7815e6ba43b · inbound

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models cites this paper.

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models A Hybrid Attention Framework for Fake News Detection with Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T00:33:43.887384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:33:43.887384Z digest=sha256:3cd5f0126ecd1e31a5c7f177a9fa9094f5ace171b67c2631288ec9098cf70c0d

Observation dd34e57d-c717-4e8b-8aaf-b686a0835bac · inbound

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit cites this paper.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit A Hybrid Attention Framework for Fake News Detection with Large Language Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T22:39:55.323497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T22:39:55.081095Z digest=sha256:6e30772a27163230a62458dc26125f42f60513d02197c3e9f5b7c0696840053b