Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.