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Paper Citation Record · LEDGER

DENS: A Dataset for Multi-class Emotion Analysis

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.11769.

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

pith.paper-citation-record.v1
1910.11769 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:22:58.149823Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:40:27.385581Z

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 779e080a-c5c1-474d-9db1-b8d7334ec4a7 · inbound

Detecting harassment and defamation in cyberbullying with emotion-adaptive training cites this paper.

Detecting harassment and defamation in cyberbullying with emotion-adaptive training DENS: A Dataset for Multi-class Emotion Analysis

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-10T05:40:27.390410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T05:40:27.140350Z digest=sha256:c73cb6d4ec9e7701d37d079b9616f35f3299f44fc9d03dc12e11d852a252422f

Observation a8961156-a0b0-4cbd-ad07-8d4823c9790f · inbound

Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa cites this paper.

Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa DENS: A Dataset for Multi-class Emotion Analysis

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T11:22:58.149823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:22:58.149823Z digest=sha256:db023ce4536187170d70d4ad077d32e4ef93f2e57b9982840041b3ae2e7ba076