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Paper Citation Record · LEDGER

Improving Phishing Detection Via Psychological Trait Scoring

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.06792.

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

pith.paper-citation-record.v1
2208.06792 v1

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:19.394520Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4b549697-3cb5-4231-9fab-803b17e15c1a · inbound

Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact cites this paper.

Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact Improving Phishing Detection Via Psychological Trait Scoring

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:59:05.531101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:59:04.933095Z digest=sha256:065b0f96ec2717f5b9b979044cc47e02fe9eaba2611a30732738fb4f20fc2d18

Observation f06b83aa-5d62-499e-9903-18328321351f · inbound

Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction cites this paper.

Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Improving Phishing Detection Via Psychological Trait Scoring

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:19.394520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:15:19.394520Z digest=sha256:d6b9068cc8ff7dfdaf46988ca451df5bfd7a2dc6d9894e0fe6bf19ee9ed99604