Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:35:47.391194Z
Paper Citation Record · LEDGER
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models
As of 8 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2509.00476.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
10 of 10 outbound references displayed
- verified exact0
- verified fuzzy8
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 018ea318-e084-427a-8dca-e4593df5bce0 · outbound
This paper cites EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:35:46.419012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88f2f2c3-c1b7-44dc-a00a-e930bd131e55 · outbound
This paper cites Microsoft Malware Classification Challenge.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models Microsoft Malware Classification Challenge
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:35:46.508884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec4cfb0c-ec0b-4ca0-b81d-d2d123ce9c6b · outbound
This paper cites A Quantitative Study of Accuracy in System Call-Based Malware Detection,.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models A Quantitative Study of Accuracy in System Call-Based Malware Detection,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:35:49.185378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b7b57c14-73b0-42f5-a634-631a79ee3986 · outbound
This paper cites LightGBM: A Highly Efficient Gradient Boosting Decision Tree,.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models LightGBM: A Highly Efficient Gradient Boosting Decision Tree,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:35:48.927283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3cda71f0-f0f4-413a-94f9-fb7d6837be68 · outbound
This paper cites On Combining Classi- fiers,.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models On Combining Classi- fiers,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:35:48.739195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 86586dc2-3eb3-4072-b5c9-e969ccf72b04 · outbound
This paper cites Multi-source malware detection using feature and decision-level fusion,.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models Multi-source malware detection using feature and decision-level fusion,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:35:48.585632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 09344258-2e76-4aac-9cd2-9a8addb8866b · outbound
This paper cites N-grams-based File Signatures for Malware Detection,.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models N-grams-based File Signatures for Malware Detection,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:35:48.350963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 725308e6-3a9b-43cb-9fac-75ab010c45ac · outbound
This paper cites Effectiveness of API Calls for Malware Detection,.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models Effectiveness of API Calls for Malware Detection,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:35:48.091343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b1cbce85-4ba3-484f-bdad-c1d5192e3c8c · outbound
This paper cites nox...!? Boosting Malware Detection with Feature Ablation,.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models nox...!? Boosting Malware Detection with Feature Ablation,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:35:47.857606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3abf97fc-e4d8-4e1c-b561-2201cfcdebd2 · outbound
This paper cites DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket,.
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:35:47.640961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.