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Paper Citation Record · LEDGER

Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.13918.

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

pith.paper-citation-record.v1
2407.13918 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:31:49.008473Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:40.312845Z

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 c05b694d-9781-4784-b3c4-39d3b732a846 · inbound

TIF: Learning Temporal Invariance in Android Malware Detectors cites this paper.

TIF: Learning Temporal Invariance in Android Malware Detectors Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T20:20:18.744804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:20:18.744804Z digest=sha256:bed5bda1d5874e0f0631a49093d50a622f68061510d15f641d565d80b921b5e2

Observation 57a1b91d-dc17-4c4a-9655-bfbcfd5de905 · inbound

Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations cites this paper.

Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:21:07.058519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T21:59:37.209656Z digest=sha256:5254529f7500a1086440cddb2673f2a5ca84e3a60ebcec71cb45379e3aae069d

Observation 1e8bbf49-410f-41ba-870a-c5be9db60b89 · inbound

RECON: An LLM-Enhanced Backward Constraint Analysis Framework cites this paper.

RECON: An LLM-Enhanced Backward Constraint Analysis Framework Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:27:40.314478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T13:13:26.390358Z digest=sha256:8c3ec79de57215b93726aa6fde137aac7055bbed3f3aa6e6b0d6a7cb70fef2ac

Observation 570b43ff-b222-482c-9bde-dac799ba9f34 · inbound

SMETA-ZSL:Semantic Meta-Alignment for Zero-Shot Threat Classification cites this paper.

SMETA-ZSL:Semantic Meta-Alignment for Zero-Shot Threat Classification Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-14T14:29:04.708853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:29:04.708853Z digest=sha256:50016459b2bbe838481c64e9ba775415cc25b275d7e9ac0da69917c604b501c8

Observation 2a5a5d93-ddc5-40ce-9369-c5f3f4d2bccd · inbound

Concept Drift Detection and Adaptive Retraining of Malware Classification Models cites this paper.

Concept Drift Detection and Adaptive Retraining of Malware Classification Models Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T10:31:49.008473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:31:49.008473Z digest=sha256:287ab6ee90d9c165aa7cb6cd962d7c6a08d4fe01f545caf77d7b645a2282355a