Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.13918.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T20:20:18.744804Z
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.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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.