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Paper Citation Record · LEDGER

Sentiment Analysis for Sinhala Language using Deep Learning Techniques

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2011.07280.

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

pith.paper-citation-record.v1
2011.07280 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-07T21:11:24.867155Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T21:14:08.453818Z

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 e1e234da-5e23-4505-ae5b-dd0c1ab81773 · inbound

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis cites this paper.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Sentiment Analysis for Sinhala Language using Deep Learning Techniques

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-07T21:14:08.455718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-07T21:11:24.867155Z digest=sha256:e6008077a2a16c57cb061ad9e7f24393245c1d620645bfca34346dd0f26901c0