Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:38:11.802868Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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.