Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.13049.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:12:40.707286Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T21:01:51.439700Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 667bd7fb-10ff-46bd-8a54-38f470c6e2d2 · inbound
ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams cites this paper.
ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:12:40.707286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bda422c3-096a-46b4-8f91-b160a8459779 · inbound
SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing cites this paper.
SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T21:01:51.442494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bfc8a31e-b214-4e3e-86b2-0c8b64982b64 · inbound
GuardPhish: Securing Open-Source LLMs from Phishing Abuse cites this paper.
GuardPhish: Securing Open-Source LLMs from Phishing Abuse Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:26:27.331168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.