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Paper Citation Record · LEDGER

Network Intrusion Detection based on LSTM and Feature Embedding

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.11552.

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

pith.paper-citation-record.v1
1911.11552 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:25:13.366614Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:25:16.960609Z

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 4f3a14fe-2356-4b66-8a83-19dfe7bee2ae · inbound

Class-Proportional Coreset Selection for Difficulty-Separable Data cites this paper.

Class-Proportional Coreset Selection for Difficulty-Separable Data Network Intrusion Detection based on LSTM and Feature Embedding

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:25:16.967554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:25:13.366614Z digest=sha256:2ad69b30b1cd0ea097c830b6ecfa351f141e14e2152e1413e3caada8352e3d8b

Observation bb544b93-816d-43bf-8d96-906e0c35dae8 · inbound

Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN cites this paper.

Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN Network Intrusion Detection based on LSTM and Feature Embedding

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-12T05:39:49.867395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:39:49.867395Z digest=sha256:db7631b4e0bb3d27928365d5f723812ede6ac0ce7f5294699bac16083f249313