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Paper Citation Record · LEDGER

Domain Adapted Word Embeddings for Improved Sentiment Classification

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.04576.

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

pith.paper-citation-record.v1
1805.04576 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:46:30.101288Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:46:30.237078Z

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 04a2fe9a-3186-469f-b2b3-21476888a298 · inbound

Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate cites this paper.

Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate Domain Adapted Word Embeddings for Improved Sentiment Classification

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:46:30.245611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T12:46:30.101288Z digest=sha256:8d2620df8264da0db6f3c822658e2824ac10b81fbe3480add9ddeea1b2b29f31

Observation cc239ad5-33f5-4cb6-93a7-a1c819bf6f37 · inbound

Deep Label-Wise Attentive Temporal Convolutional Networks Improve Medical Coding cites this paper.

Deep Label-Wise Attentive Temporal Convolutional Networks Improve Medical Coding Domain Adapted Word Embeddings for Improved Sentiment Classification

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-31T00:35:18.407639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T00:35:18.407639Z digest=sha256:baa6d2c8b38d15527fff06bac3a404cc34af0cc52753d89e5c6ce51b735fdfd0