Paper Citation Record · LEDGER

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1908.03640.

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

pith.paper-citation-record.v1
1908.03640 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:11:19.447162Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy21
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 093ef1bc-d9f7-4dc2-91b3-7ab9b545478a · outbound

This paper cites , González, F.A.: Classify- ing phishing urls using recurrent neural networks.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) , González, F.A.: Classify- ing phishing urls using recurrent neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.696183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 53a31ca0-925c-42d8-b02e-d1f8415873e7 · outbound

This paper cites IEEE Transactions on Neural Networks 5(2), 157–166 (March 1994).

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) IEEE Transactions on Neural Networks 5(2), 157–166 (March 1994)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.687759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e2babc4e-d266-4c5d-82b5-d9d45b9197d2 · outbound

This paper cites In: Proceedings of t he Fifth Conference on Email and Anti-Spam.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) In: Proceedings of t he Fifth Conference on Email and Anti-Spam

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.679468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb32d628-b326-401d-8854-6dc1d28fba38 · outbound

This paper cites , Strobel, S.: New ﬁltering approaches for phishing email.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) , Strobel, S.: New ﬁltering approaches for phishing email

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.671213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71868313-8192-40b5-9027-06eafe4d17a0 · outbound

This paper cites In: Proceedings of the 9th A nnual NYS Cyber Security Conference.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) In: Proceedings of the 9th A nnual NYS Cyber Security Conference

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.662741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e60fcdcb-9fb4-4a83-b9cd-9eb20c4418e5 · outbound

This paper cites In: Proceed- ings of the 16th international conference on World Wide Web.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) In: Proceed- ings of the 16th international conference on World Wide Web

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.654653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5a6c0323-772b-47f2-8684-ee68d86bbf18 · outbound

This paper cites Neural Computation 12(10), 2451–2471 (October 2000).

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Neural Computation 12(10), 2451–2471 (October 2000)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.645187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fb0437c3-91ad-4b6a-abda-7b7c7153bc91 · outbound

This paper cites MIT Press, Cambridge, MA, USA (2016).

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) MIT Press, Cambridge, MA, USA (2016)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.637031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5d80886-4f5b-40bd-96c7-e4687f4d7f7e · outbound

This paper cites Neural Computation 9(8), 1735–1780 (November 1997).

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Neural Computation 9(8), 1735–1780 (November 1997)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.629009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f4c199e0-9b44-4b2c-ad85-bd3ae68bd237 · outbound

This paper cites Human-centric Computing and In formation Sciences 6 (June 2016).

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Human-centric Computing and In formation Sciences 6 (June 2016)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.619630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b5fdf30e-eede-4c71-bf57-85ecc23eff81 · outbound

This paper cites In: Proceedings of the 32nd Interna tional Conference on Machine Learning.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) In: Proceedings of the 32nd Interna tional Conference on Machine Learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.610968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c88a05cb-7800-4cde-84f3-d6d54ba602b4 · outbound

This paper cites IEEE Communications Surveys & Tutorials 15(4), 2091–2121 (April 2013).

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) IEEE Communications Surveys & Tutorials 15(4), 2091–2121 (April 2013)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.601960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 964c5098-4610-4bb1-9c27-e1f8d7a4553c · outbound

This paper cites Neural Computing and A pplications 25(2), 443– 458 (August 2014).

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Neural Computing and A pplications 25(2), 443– 458 (August 2014)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.593723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb7e3bf9-9857-4c76-b505-6474914c832e · outbound

This paper cites an unresolved cited work.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:11:19.584641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 98d1b973-52f2-49cd-9f1a-9cdcf74cf4e9 · outbound

This paper cites In: The Oxford Handbook of Cyberps ychology.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) In: The Oxford Handbook of Cyberps ychology

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.575430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e2276262-5a36-4a4c-aec5-e8c7fc3f9594 · outbound

This paper cites In: Proceedings of the 30th International Con ference on Machine Learning.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) In: Proceedings of the 30th International Con ference on Machine Learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.567013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fc54c0bd-f8da-4311-9b74-159890866384 · outbound

This paper cites an unresolved cited work.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:11:19.558646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 80919bff-f59b-46ba-8240-48586a546ed6 · outbound

This paper cites an unresolved cited work.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:11:19.549742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c79aab83-c049-4b10-b43a-b677f9f2a3eb · outbound

This paper cites Hand book of Information and Communication Security pp.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Hand book of Information and Communication Security pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.541297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a55f54f-23af-4036-ad83-0ab2c404171e · outbound

This paper cites Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:11:19.426222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe9e552-5086-4f8c-8387-4095c55b261a · outbound

This paper cites an unresolved cited work.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:11:19.532019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b09bb8be-3b09-4d11-9dad-f2f222794fe0 · outbound

This paper cites Journal of Machine Learning Research 15(1), 1929–1958 (January 2014).

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Journal of Machine Learning Research 15(1), 1929–1958 (January 2014)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.522540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f8aed37-4c7d-4319-9c40-04ef67009ce8 · outbound

This paper cites In: 2010 eCrime Researchers Summit.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) In: 2010 eCrime Researchers Summit

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.513555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 742e884a-dad6-4311-bfdc-104c42fd1636 · outbound

This paper cites In: 17th European Symposium on Research in Com puter Security.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) In: 17th European Symposium on Research in Com puter Security

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.504467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 14bb585f-06cb-4d77-900d-b997970afb24 · outbound

This paper cites Jour nal of Intelligent & Fuzzy Systems 34(3), 1333–1343 (March 2018).

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Jour nal of Intelligent & Fuzzy Systems 34(3), 1333–1343 (March 2018)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.495623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f23f854-b771-4b43-91f3-2b7e219695ac · outbound

This paper cites Recurrent Neural Network Regularization.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) Recurrent Neural Network Regularization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T14:11:19.443768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c2c750e-f56d-43ec-af79-f20fe82053e5 · outbound

This paper cites In: Proceedings of the 12th Inte rnational Conference on Innovative Mobile and Internet Services in Ubiquitous Co mputing.

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) In: Proceedings of the 12th Inte rnational Conference on Innovative Mobile and Internet Services in Ubiquitous Co mputing

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:11:19.486022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.