Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2506.19356.

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

pith.paper-citation-record.v1
2506.19356 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:50.444662Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:45:34.159388Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:45:34.781509Z

Reference resolution

39 of 39 outbound references displayed

verified exact2
verified fuzzy30
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3423062b-7786-4e0c-8ef3-b7533ad33164 · outbound

This paper cites an unresolved cited work.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:56.483852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a02e2449-f2bd-4ffd-b6be-35f6cf334a82 · outbound

This paper cites Adaptpud: An accurate url-based detection approach against tailored deceptive phishing websites.Computer Networks, page 111303, 2025.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Adaptpud: An accurate url-based detection approach against tailored deceptive phishing websites.Computer Networks, page 111303, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:56.319484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 75fc1e8e-e2e4-4c3e-b703-1218141879be · outbound

This paper cites Anti-phishing based on automated individual white-list.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Anti-phishing based on automated individual white-list

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:56.126962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a2570c7-26ee-41d0-95ec-147c6cd020a1 · outbound

This paper cites Adopting au- tomated whitelist approach for detecting phishing attacks.Computers & Security, 108:102328, 2021.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Adopting au- tomated whitelist approach for detecting phishing attacks.Computers & Security, 108:102328, 2021

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:55.995647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c15a3149-8d68-42c3-ba2a-3d52bdb38825 · outbound

This paper cites New rule-based phishing detection method.Expert Systems with Applications, 53:231–242, 2016.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT New rule-based phishing detection method.Expert Systems with Applications, 53:231–242, 2016

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:55.871802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 677b588f-497d-4d64-867b-2f623a28acc1 · outbound

This paper cites Sustaining accurate detection of phishing urls using sdn and feature selection approaches.Computer Networks, 201:108591, 2021.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Sustaining accurate detection of phishing urls using sdn and feature selection approaches.Computer Networks, 201:108591, 2021

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:55.759187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4daf78e1-214b-4a6b-9001-d3fd22ba40d1 · outbound

This paper cites an unresolved cited work.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:55.662267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7e89a552-1346-45bc-aade-4df5787f381d · outbound

This paper cites Phishdef: Url names say it all.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Phishdef: Url names say it all

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:55.532246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bb51e679-7b83-4206-a73d-437c47658807 · outbound

This paper cites Phishzoo: Detecting phishing websites by looking at them.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Phishzoo: Detecting phishing websites by looking at them

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:55.416510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 211e0a71-6b92-4632-b292-7543f886f5f5 · outbound

This paper cites Machine learning based phishing detection from urls.Expert Systems with Applications, 117:345–357, 2019.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Machine learning based phishing detection from urls.Expert Systems with Applications, 117:345–357, 2019

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:47.841141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63fe0bc2-9566-4692-b92e-95a99c5ffea0 · outbound

This paper cites A new method for detection of phishing websites: Url detection.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT A new method for detection of phishing websites: Url detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:55.310584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7499f2d1-0367-485f-a1be-0eee27f78e3e · outbound

This paper cites Toward more generalized malicious url detection models, 2024.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Toward more generalized malicious url detection models, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:55.188016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

This paper cites URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection.

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.

Observation 85a82667-bedf-47a8-9e9a-c01654fde5bf · outbound

This paper cites Phishing url detection using deep learning with cnn models.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Phishing url detection using deep learning with cnn models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:55.046787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2dd8fc0-7a18-4b44-94c5-3ad3a3b68b39 · outbound

This paper cites Transurl: Improving malicious url detection with multi-layer transformer encoding and multi-scale pyramid features.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Transurl: Improving malicious url detection with multi-layer transformer encoding and multi-scale pyramid features

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:54.867101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5037d21b-1f43-4e9d-af9b-47c7ef9eec48 · outbound

This paper cites Phishguard: A convolutional neural network-based model for detecting phishing urls with explain- ability analysis.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Phishguard: A convolutional neural network-based model for detecting phishing urls with explain- ability analysis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:54.612629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12ba5063-aed9-4270-818c-423a5a957204 · outbound

This paper cites Fed-urlbert: Client-side lightweight federated transformers for url threat analysis, 2023.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Fed-urlbert: Client-side lightweight federated transformers for url threat analysis, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:54.450734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 313429cf-5338-444b-9335-d04a671f1955 · outbound

This paper cites A large-scale pretrained deep model for phishing url detection.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT A large-scale pretrained deep model for phishing url detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:54.306327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c0a5c31-e057-4605-9eb8-5a30fbd5ab86 · outbound

This paper cites KnowPhish: Large language mod- els meet multimodal knowledge graphs for enhancing Reference-Based phishing detection.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT KnowPhish: Large language mod- els meet multimodal knowledge graphs for enhancing Reference-Based phishing detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:54.141265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation adaa8047-42cc-4302-b7d2-e7757a70daee · outbound

This paper cites Multiphish: Multi-modal features fusion networks for phishing detection.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Multiphish: Multi-modal features fusion networks for phishing detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:53.874257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f332551-306f-41f7-9337-a5cf3fff7369 · outbound

This paper cites Kavya and D.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Kavya and D

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:53.665030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c58ba1b-ecea-482f-b45d-8082490d9f3f · outbound

This paper cites Less defined knowledge and more true alarms: Reference-based phishing detection without a pre-defined reference list.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Less defined knowledge and more true alarms: Reference-based phishing detection without a pre-defined reference list

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:53.527333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c31dde02-770f-4628-bc6c-ebb011769bf2 · outbound

This paper cites an unresolved cited work.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:53.367045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee64f2e6-bcb6-48e3-a134-e1363cdc9d13 · outbound

This paper cites Optimal personalized filtering against spear-phishing attacks.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Optimal personalized filtering against spear-phishing attacks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:53.245571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f28f38a-d706-47e2-8648-66c36f190380 · outbound

This paper cites Robust detection of malicious urls with self-paced wide & deep learning.IEEE Transactions on Dependable and Secure Computing, 19(2):717–730, 2022.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Robust detection of malicious urls with self-paced wide & deep learning.IEEE Transactions on Dependable and Secure Computing, 19(2):717–730, 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:53.097012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e514211d-c011-4e60-9a92-b7f878b54daf · outbound

This paper cites Beyond phish: Toward detecting fraudulent e-commerce websites at scale.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Beyond phish: Toward detecting fraudulent e-commerce websites at scale

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:52.978558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c17ade00-01ff-4259-9ca0-0c3eb4adf1d4 · outbound

This paper cites an unresolved cited work.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:52.840300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8fbde818-f171-4eb7-a691-d44626a35e13 · outbound

This paper cites Phishing webpage de- tection via multi-modal integration of html dom graphs and url features based on graph convolutional and transformer networks.Electronics, 13(16):3344, 2024.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Phishing webpage de- tection via multi-modal integration of html dom graphs and url features based on graph convolutional and transformer networks.Electronics, 13(16):3344, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:52.669517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 90d9bceb-764d-49ff-ace8-66ffca5ba242 · outbound

This paper cites Multimodal Large Language Models for Phishing Webpage Detection and Identification.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Multimodal Large Language Models for Phishing Webpage Detection and Identification

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:12:51.021846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ec202a9-a19f-4160-a993-202b3c48a753 · outbound

This paper cites Phishagent: a robust multimodal agent for phishing webpage detection.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Phishagent: a robust multimodal agent for phishing webpage detection

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:49.595049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1d2abc8-ff47-4319-8e14-7a918bc94f0f · outbound

This paper cites Phishing detection model integrating url characters and html word semantic deep features.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Phishing detection model integrating url characters and html word semantic deep features

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:52.493919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bb492e59-aa5c-4bb7-a69b-85d955afa337 · outbound

This paper cites Ali Babar, Raj Gaire, and Alsharif Abuadbba.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Ali Babar, Raj Gaire, and Alsharif Abuadbba

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:52.343321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c2ed0bb4-152f-4509-8b9f-ed34446629d0 · outbound

This paper cites Span: Spatial pyramid attention network for image manipulation localization.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Span: Spatial pyramid attention network for image manipulation localization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:52.205370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dfb1c052-3dea-483d-bb30-6100da4f26ed · outbound

This paper cites Grounding dino: Marrying dino with grounded pre- training for open-set object detection.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Grounding dino: Marrying dino with grounded pre- training for open-set object detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:52.040408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5991de61-688d-4f68-a93a-107028267ca1 · outbound

This paper cites Transfer learning for phishing detection: Screenshot-based website classification.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Transfer learning for phishing detection: Screenshot-based website classification

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:51.876793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25f032d5-348d-4328-affc-044c49a789ec · outbound

This paper cites Pmanet: Malicious url detection via post- trained language model guided multi-level feature attention network.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Pmanet: Malicious url detection via post- trained language model guided multi-level feature attention network

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:51.716033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f9997a4-a7ab-43c4-bd4c-b0616cdc570a · outbound

This paper cites Urlbert:a contrastive and adversarial pre-trained model for url classification, 2024.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Urlbert:a contrastive and adversarial pre-trained model for url classification, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:51.455158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b846272-0c50-43e3-b1d9-8a0e762085e4 · outbound

This paper cites Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:12:50.759022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 17552727-c59e-4fa3-9e68-e0c6eef00a5a · outbound

This paper cites Dephides: Deep learning based phishing detection system.IEEE Access, 12:8052– 8070, 2024.

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT Dephides: Deep learning based phishing detection system.IEEE Access, 12:8052– 8070, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:51.217741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation ff230934-36f8-4ff9-8071-32a756e6857e · inbound

Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection cites this paper.

Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T11:45:34.897223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.