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Paper Citation Record · LEDGER

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1802.03162.

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

pith.paper-citation-record.v1
1802.03162 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:57:43.465798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:59:37.149899Z

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 187687e9-8d38-444a-9715-97937e4550bf · inbound

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search cites this paper.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T20:57:43.465798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:57:43.465798Z digest=sha256:5eb8d72bbf7d0c028ff7df814b72c2bf3a5b51b04071b703d6600d19e86d15cc

Observation 6041154d-1824-4ff7-ba55-6a7d1ce945e0 · inbound

Client-Side Zero-Shot LLM Inference for Comprehensive In-Browser URL Analysis cites this paper.

Client-Side Zero-Shot LLM Inference for Comprehensive In-Browser URL Analysis URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T11:02:38.158575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:02:38.158575Z digest=sha256:f548ebc041c21efebbc091da3ab199b8f08dd52781e45c77c6e6939b1653bfbb

Observation 53bcdc79-d2c8-4835-a799-40487fd36997 · inbound

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT cites this paper.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:48.136592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:48.136592Z digest=sha256:f21af6d0d9f289da9c672e0ce9241a917749eec3cc5858c45bb3903fb05edbf0

Observation 3437cea4-01e9-4401-ae98-f54b885ae03e · 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 URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-04T20:41:49.792211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:41:49.792211Z digest=sha256:fa227a7eeb20fabe0a63698c852b3bb63ed191908b103a7aa837614a2a0ad894

Observation b63cc9a4-01b8-4507-b12f-cbcbf5c9ae81 · inbound

Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector cites this paper.

Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T18:52:48.969525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:52:48.969525Z digest=sha256:9637de19408d7b04adb7adee1f6470ab29fda8b2ce604bfafd01d2bd6426a2c3

Observation 4ff1810d-5e70-4df9-952e-91cc864a8550 · inbound

URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection cites this paper.

URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T18:04:09.541554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:04:09.541554Z digest=sha256:9b97333f9c15e3397a32ef7b9bfba520f6f3df19f697883c4d12036b1647c607

Observation 4e33ac06-fb82-42e4-86a2-794b15f42a64 · inbound

Characterizing Phishing Pages by JavaScript Capabilities cites this paper.

Characterizing Phishing Pages by JavaScript Capabilities URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T16:33:38.875764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:33:38.875764Z digest=sha256:7b209b73ea5b007e455abe0dfa00fb27fd28547b621aebb7dfbd5fc53e8670c8

Observation 59ac0d9d-8b03-43b8-8b87-28e937c0e490 · inbound

Iterative Definition Refinement for Zero-Shot Classification via LLM-Based Semantic Prototype Optimization cites this paper.

Iterative Definition Refinement for Zero-Shot Classification via LLM-Based Semantic Prototype Optimization URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:36:26.071280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T10:29:22.334429Z digest=sha256:b042add063ebcf095084c50cd8d25fe578698fa7ef529f2f72475649fde002b0

Observation 4e36137a-7c38-4e0d-9a0b-6858ad0d3ed8 · inbound

Beyond Classification Accuracy: An Exploration-Range Evaluation of Adaptive Crawling for Fake Shopping Sites cites this paper.

Beyond Classification Accuracy: An Exploration-Range Evaluation of Adaptive Crawling for Fake Shopping Sites URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:59:37.151346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:03:13.270884Z digest=sha256:5445044fe4ad7bc49eb1df0903d6249ee0fa879e5fa6cebc3644bb20a72fc712