Paper Citation Record · LEDGER

Automated email Generation for Targeted Attacks using Natural Language

As of 16 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:1908.06893.

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

pith.paper-citation-record.v1
1908.06893 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:38:11.802868Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact0
verified fuzzy7
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 121fcb4d-dd0a-425e-a963-b1d30af0565e · outbound

This paper cites With the immense boom in usage and adaptation of the Internet, staggering numbers of individuals and organizations have fallen prey to targeted attacks like phishing and pharming.

Automated email Generation for Targeted Attacks using Natural Language With the immense boom in usage and adaptation of the Internet, staggering numbers of individuals and organizations have fallen prey to targeted attacks like phishing and pharming

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:12.021964Z

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 f9b9d38a-0c7b-491a-80bc-b4f0a9bdf98f · outbound

This paper cites an unresolved cited work.

Automated email Generation for Targeted Attacks using Natural Language Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:38:12.006882Z

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 0aa32bd7-e1f4-49b8-90c1-9999f5bdd3f4 · outbound

This paper cites an unresolved cited work.

Automated email Generation for Targeted Attacks using Natural Language Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:38:11.992049Z

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 f80932e4-469f-4dff-a340-7d4fd1ddb587 · outbound

This paper cites an unresolved cited work.

Automated email Generation for Targeted Attacks using Natural Language Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:38:11.978058Z

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 3d946db0-cb37-4e0c-9630-22bf9774c9cb · outbound

This paper cites an unresolved cited work.

Automated email Generation for Targeted Attacks using Natural Language Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:38:11.963927Z

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 67a82901-fb0d-407a-8876-b9d46b12a2b5 · outbound

This paper cites an unresolved cited work.

Automated email Generation for Targeted Attacks using Natural Language Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:38:11.949416Z

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 6dabc34a-8483-4b9b-ba10-8b77e3c5a9cf · outbound

This paper cites Despite the development of a large number of phishing detection tools, many victims are still falling prey to these attacks.

Automated email Generation for Targeted Attacks using Natural Language Despite the development of a large number of phishing detection tools, many victims are still falling prey to these attacks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:11.934635Z

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 f061a46f-f078-4a4e-887c-8597f91c7363 · outbound

This paper cites We de- scribe the nature and source of the training and evaluation data in Section 3.1.

Automated email Generation for Targeted Attacks using Natural Language We de- scribe the nature and source of the training and evaluation data in Section 3.1

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:11.919039Z

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 845f90ba-e852-44d0-9478-acd4d1fa9c18 · outbound

This paper cites Malicious dataset.

Automated email Generation for Targeted Attacks using Natural Language Malicious dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:11.904323Z

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 fe62f6c4-01a0-4257-93f1-293065137cc7 · outbound

This paper cites We give examples of the email text generated with various training models and varying temperatures.

Automated email Generation for Targeted Attacks using Natural Language We give examples of the email text generated with various training models and varying temperatures

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:11.889576Z

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 ddbc70c2-fbbd-4d9f-98ed-d5aba99103ec · outbound

This paper cites First, the text generated by multiple RNN models suffer from repetitive tags and words.

Automated email Generation for Targeted Attacks using Natural Language First, the text generated by multiple RNN models suffer from repetitive tags and words

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:11.873122Z

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 91c6deee-0a59-4938-b229-32c72fa976ba · outbound

This paper cites We de- signed an RNN based text generation system for generating targeted attack emails which is a challenging task in itself and a novel approach to the best of our knowledge.

Automated email Generation for Targeted Attacks using Natural Language We de- signed an RNN based text generation system for generating targeted attack emails which is a challenging task in itself and a novel approach to the best of our knowledge

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:11.857268Z

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 b0be74c5-b445-40b2-b7d3-80104fdde9ff · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Automated email Generation for Targeted Attacks using Natural Language Adam: A Method for Stochastic Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T12:38:11.802868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.