Pith. sign in

Paper Citation Record · LEDGER

Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models

As of 13 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2505.16261.

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

pith.paper-citation-record.v1
2505.16261 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:10.804847Z

measured 3 of 3 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e1dbc80-c328-432a-bc76-13d42f1a1ba5 · outbound

This paper cites Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic.

Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:10.793823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:06:10.793823Z digest=sha256:9e9d2386305b7339336749a3d4eb6b0cd2b415f06da5567a139fb5f408402860

Observation 5e0a8b4d-6aec-42c0-879f-2de73992a86b · outbound

This paper cites A survey on encrypted network traffic analysis applications, techniques, and countermeasures,.

Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models A survey on encrypted network traffic analysis applications, techniques, and countermeasures,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:06:11.000666Z

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=2026-08-07T15:06:10.783988Z digest=sha256:e00cb5160b302e2140a601c544e32eb1b51dbf66b6b16c608ecdda8ca13827a7

Observation c2cabef4-df28-4f60-bffc-5400e0258c45 · outbound

This paper cites Encrypted network traffic classification using intelligent techniques,.

Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models Encrypted network traffic classification using intelligent techniques,

Reference 17

Resolution
verified exact
doi, observed 2026-08-07T15:06:10.905431Z

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=2026-08-07T15:06:10.804847Z digest=sha256:b8890643b5b02a133496a5430307244cf595c7589f18e5a7d12bb9352fe3c6be

Pith citing papers

No inbound Pith citation observations are available.