Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Malicious URL Detection using Machine Learning: A Survey
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1701.07179.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:05:25.696540Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T22:08:04.241085Z
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 87d5bc77-8ae3-429a-a781-d46455d0a00c · inbound
From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories cites this paper.
From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories Malicious URL Detection using Machine Learning: A Survey
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:05:25.696540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0e04b3c-cf95-4f14-831c-a236b094bf43 · inbound
Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques cites this paper.
Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques Malicious URL Detection using Machine Learning: A Survey
Reference 149
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:41:50.032434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2c35cf0-b59b-40eb-be10-3f5cf4c76646 · inbound
URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection cites this paper.
URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection Malicious URL Detection using Machine Learning: A Survey
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:04:07.400738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation caa5bd57-6210-4bef-b066-d44729ef8c3d · inbound
GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context cites this paper.
GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context Malicious URL Detection using Machine Learning: A Survey
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:00:36.802305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 08ef4284-0838-4ea6-8302-7534c9ec94a4 · inbound
GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context cites this paper.
GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context Malicious URL Detection using Machine Learning: A Survey
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:08:04.244343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.