Paper Citation Record · LEDGER

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques

As of 8 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2505.21141.

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

pith.paper-citation-record.v1
2505.21141 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:40:17.087233Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy9
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ac13666-66ac-4b4a-be85-8b2a95209ede · outbound

This paper cites Phishing exposed. Tech target article sponsored by: Sunbelt software.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques Phishing exposed. Tech target article sponsored by: Sunbelt software

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:40:19.568647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a7811ef-959a-4e98-b89f-301a7511e334 · outbound

This paper cites The Problem of Phishing.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques The Problem of Phishing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:40:19.362001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45e7b4fa-87d9-4d72-8601-dc9f8c16df66 · outbound

This paper cites Phishing Attacks in recent times.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques Phishing Attacks in recent times

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:40:19.066556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15fc51cc-4f00-4602-88ef-9fdcfb5c75bb · outbound

This paper cites Rule-based phishing attack detection and phishing vectors.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques Rule-based phishing attack detection and phishing vectors

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:40:18.834759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a3b4a6e-b85a-4748-ba12-9d495b17d568 · outbound

This paper cites an unresolved cited work.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:40:18.493602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c013aeee-ae12-4c0c-b473-4d2b366ffb8e · outbound

This paper cites Detecting Phishing Websites Using Associative Classification.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques Detecting Phishing Websites Using Associative Classification

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:40:18.209104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0c877cd-4aa9-473f-ba37-ff6b6ccf0a2f · outbound

This paper cites (2016), Phishing Attacks and various Anti Phishing techniques.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques (2016), Phishing Attacks and various Anti Phishing techniques

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:40:17.968496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation acbfc0e6-356c-488d-85eb-80725a74c7bf · outbound

This paper cites Amrit Kaur (2016), Detecting of Phishing Websites using SVM Technique.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques Amrit Kaur (2016), Detecting of Phishing Websites using SVM Technique

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:40:17.635098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ee2bac6-e7d5-4b6b-817a-98fa5be2a0b8 · outbound

This paper cites and Pawar, S.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques and Pawar, S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:40:17.433867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56e63292-adc3-43c1-b8b9-47180a8b765f · outbound

This paper cites (2005) MCAR: Multi -class Classification based on Association Rule.

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques (2005) MCAR: Multi -class Classification based on Association Rule

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:40:17.282430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.