Pith. sign in

Paper Citation Record · LEDGER

Evaluating Explanation Methods for Deep Learning in Security

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.02108.

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

pith.paper-citation-record.v1
1906.02108 v4

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:03:57.623978Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T23:52:57.889680Z

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 75152937-1013-4263-b733-8bc6802d7188 · inbound

XAI and Android Malware Models cites this paper.

XAI and Android Malware Models Evaluating Explanation Methods for Deep Learning in Security

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T13:03:57.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:03:57.623978Z digest=sha256:8918cd137013224d1ee11eb910ff0a015a3e746fc99ea49fda877f26a2cd2759

Observation c94a7e14-56c0-4db3-bc17-a670b178baae · inbound

Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection cites this paper.

Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection Evaluating Explanation Methods for Deep Learning in Security

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:52:57.896236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T23:52:56.394344Z digest=sha256:81fa225cfebfe3f99a7b1890bd16f3649f8782c63af617307e9a63d3e558f621