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Paper Citation Record · LEDGER

Attentional Encoder Network for Targeted Sentiment Classification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.09314.

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

pith.paper-citation-record.v1
1902.09314 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:03:30.063330Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:40:59.020677Z

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 89325042-c607-4128-a9f3-d0040f6f1887 · inbound

AF-MAT: Aspect-aware Flip-and-Fuse xLSTM for Aspect-based Sentiment Analysis cites this paper.

AF-MAT: Aspect-aware Flip-and-Fuse xLSTM for Aspect-based Sentiment Analysis Attentional Encoder Network for Targeted Sentiment Classification

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T21:03:30.063330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:03:30.063330Z digest=sha256:71571b80253438c5ba9a30ed65925fb85594da5ac94e506242a97aa055cf10d7

Observation 8a9c0818-4c32-4a4e-871f-a4a5211588a4 · inbound

LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset cites this paper.

LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset Attentional Encoder Network for Targeted Sentiment Classification

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:40:59.023151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:34:01.296047Z digest=sha256:0dc7dff4c3e241e4355e89845321de37c9272f5fa02fe95a61499f3505bb628e