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Paper Citation Record · LEDGER

A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1805.01554.

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

pith.paper-citation-record.v1
1805.01554 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:21:22.983749Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T06:16:15.142816Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 09c887fc-8e5f-42e1-8b09-0794d531448e · inbound

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails cites this paper.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-09T04:21:23.081334Z

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.

source=pdf_text observed=2026-08-09T04:21:22.983749Z digest=sha256:23e53df354ed805f677e01d7a17e54fd9f71d7590381b981ac0acb191c347ed2