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Paper Citation Record · LEDGER

An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.09199.

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

pith.paper-citation-record.v1
2108.09199 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:05:52.443595Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:11:20.085678Z

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 110d4ff8-3d06-42eb-b02a-010d5d010408 · inbound

SoK: Reshaping Research on Network Intrusion Detection Systems cites this paper.

SoK: Reshaping Research on Network Intrusion Detection Systems An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:11:20.086927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T06:10:28.602632Z digest=sha256:2e3b06da377bb172130739e3737578febf86cbc930279bb859043a4d3d5db639

Observation d8074143-8c5a-4bce-bab4-418e808d0943 · inbound

Intelligence-Guided Adaptive Purification for DDoS-Resilient Quantum Networks: A CUDA-Q based Study cites this paper.

Intelligence-Guided Adaptive Purification for DDoS-Resilient Quantum Networks: A CUDA-Q based Study An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T08:05:52.443595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:05:52.443595Z digest=sha256:997881f0b2a8c9007001a32f33bd8b00728751293e7f1854047af8401a4ea16e