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Paper Citation Record · LEDGER

A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.17254.

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

pith.paper-citation-record.v1
2403.17254 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:05.982794Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:59:31.671198Z

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 b3f2294d-dbcd-459c-bfc2-6a6f8c77279c · inbound

Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis cites this paper.

Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T00:43:05.982794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:43:05.982794Z digest=sha256:4bde04b2e04ed1512247b1308ab43b63a2bbfb2d4a93a5499f88e350dc16c847

Observation 367acd19-75ff-4a8c-9fbd-447f576ecc12 · inbound

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

Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:59:31.733944Z

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=2026-08-06T17:59:27.200048Z digest=sha256:f493a59712bcd18f6e15af300ee47d8e8b0ad9811d76e332d463e54338ea6572