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Paper Citation Record · LEDGER

SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2011.05218.

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

pith.paper-citation-record.v1
2011.05218 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:26:44.554135Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:33:14.789623Z

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 ba95042c-9bc1-4d5f-b324-5326d8c66c9e · inbound

Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows cites this paper.

Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T05:26:44.554135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:26:44.554135Z digest=sha256:efafc5f799784eb5ccf80d122ab31ca04c61bdcf26ca83378d9993b6908087d5

Observation 68672b51-5490-4089-b5df-eb38e6ecccbb · inbound

ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection cites this paper.

ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:33:14.795476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T22:33:14.589631Z digest=sha256:471eddbcdb72206292527726e2dac0f43de61d6fcf30a1e333ffd775bbc449c8