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Paper Citation Record · LEDGER

Prompted Contextual Vectors for Spear-Phishing Detection

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.08309.

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

pith.paper-citation-record.v1
2402.08309 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:43:16.830435Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T12:43:16.996294Z

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 2219a772-585a-4c9b-b9bc-fc7af291fa1a · inbound

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms cites this paper.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Prompted Contextual Vectors for Spear-Phishing Detection

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:43:16.999771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T12:43:16.830435Z digest=sha256:b9ce75454099ea9f16bbbc6ceeaa08195329dc9ba1e5c22d9770dfd8cae1c2a4

Observation c0f042ea-4b95-4cb4-b159-7a30a45bf457 · inbound

Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.

Large Language Models for Security Operations Centers: A Comprehensive Survey Prompted Contextual Vectors for Spear-Phishing Detection

Reference 153

Resolution
unresolved
no resolver link, observed 2026-08-04T17:32:21.249081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:32:21.249081Z digest=sha256:a1c0bf75526d9cff6aa31760e674076b0b1bddff5c7853cdf81b1bb4edf297c3