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Paper Citation Record · LEDGER

Establishing Baselines for Text Classification in Low-Resource Languages

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.02068.

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

pith.paper-citation-record.v1
2005.02068 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:45.201182Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:01:01.330694Z

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 bf280786-368e-4347-9524-e058f72b2f05 · inbound

FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM) cites this paper.

FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM) Establishing Baselines for Text Classification in Low-Resource Languages

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:45.201182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:24:45.201182Z digest=sha256:3cac25526797cb342260e20e7fbffc1cc5adae27d217aea9187de283421f4e1f

Observation 1a83cb81-70d2-4393-be86-d8c03b0cc2a0 · inbound

L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Models cites this paper.

L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Models Establishing Baselines for Text Classification in Low-Resource Languages

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:01:01.386679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:00:58.835663Z digest=sha256:352b2f5bcc9d3c73c07d4eb16a6a4bd9d70a389432657c0e8934e81160d2a04e