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Paper Citation Record · LEDGER

Understanding Convolutional Neural Networks for Text Classification

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.08037.

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

pith.paper-citation-record.v1
1809.08037 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:51:42.515853Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:21:10.738055Z

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 07213dcc-cfe6-49d4-b6fe-4c206949a3b6 · inbound

DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment cites this paper.

DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment Understanding Convolutional Neural Networks for Text Classification

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T14:51:42.515853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:51:42.515853Z digest=sha256:2efc667717b9e2319d18653cb7a5233b4dac72230f9ec5ee3d3aa0fcf0abe3e7

Observation f99748aa-d1c5-49e8-96d4-c07c3705ea5e · inbound

Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane cites this paper.

Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane Understanding Convolutional Neural Networks for Text Classification

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:21:10.741803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T10:21:10.434610Z digest=sha256:768e0fb78831508f3f6b6754220489d07c158c1779d4d0651a2fc3fe9227df88