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Paper Citation Record · LEDGER

Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.03477.

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

pith.paper-citation-record.v1
1909.03477 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 2026-08-07T15:42:38.992877Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:59:31.507548Z

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 73d7d7f3-f346-4e53-b8ee-98d653820e58 · inbound

PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore cites this paper.

PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:38.992877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:38.992877Z digest=sha256:aa072e4f41ff10889fe1f18bbb0ff0a97a83a3dd1a32b54059424ba54b104288

Observation 306f4a7e-326f-4766-89f2-a22ac20d8e94 · inbound

Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis cites this paper.

Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:59:31.554745Z

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=arxiv_source observed=2026-08-06T17:59:30.104952Z digest=sha256:b8df0ec031dc4fb44f8832278302db37984cce92e42ba939468f0fcab4897150