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Paper Citation Record · LEDGER

AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.18816.

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

pith.paper-citation-record.v1
2404.18816 v3

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 2026-08-09T05:32:23.982567Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:36:10.539931Z

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 a9d9195d-8430-42be-ab70-c30b9b05aafd · inbound

A Contemporary Survey of Large Language Model Assisted Program Analysis cites this paper.

A Contemporary Survey of Large Language Model Assisted Program Analysis AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-09T05:32:23.982567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:32:23.982567Z digest=sha256:4f23e909317d82250fc0b2aec24a517c68f93a092e6b5268c648cddcef6c4566

Observation f932d7d6-212e-4fca-81a3-2613d358f465 · inbound

Trident: Improving Malware Detection with LLMs and Behavioral Features cites this paper.

Trident: Improving Malware Detection with LLMs and Behavioral Features AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-08-03T01:25:22.041735Z

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=2026-05-09T19:32:18.748064Z digest=sha256:8512988a2d5494c3535dc69d7f7f199029a7536e4077223db15b4aa10608adfb