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Paper Citation Record · LEDGER

Word Affect Intensities

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1704.08798.

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

pith.paper-citation-record.v1
1704.08798 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:09:23.522056Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 476003d2-95d1-4904-b926-605c862f80e0 · inbound

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation cites this paper.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Word Affect Intensities

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:23.522056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.522056Z digest=sha256:29301c6c753b51f7de1b68070bd13385080c0404524722e0babc66d99ceae829

Observation 31d08e57-c207-45b3-9837-9a481a4f964e · inbound

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset cites this paper.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Word Affect Intensities

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-08T16:34:11.734546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:34:11.734546Z digest=sha256:8b6311ac8ac65bbe206b417ef143fee5c2fc72cb811143202adabca39b576081

Observation 13784e5c-65c9-4850-84a1-ef5c9bd66338 · inbound

A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories cites this paper.

A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories Word Affect Intensities

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:24:31.792655Z

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=2026-06-30T09:19:10.305679Z digest=sha256:8476cafc636ab20ca984b75b35f5b4567484d7fe9a86e885a4c97240bd030850