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Paper Citation Record · LEDGER

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.12391.

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

pith.paper-citation-record.v1
2210.12391 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:40:44.282923Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T17:16:20.980275Z

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 971c174e-17b4-4e2b-b1c9-3ea07567090e · inbound

Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages cites this paper.

Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T22:40:44.282923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:40:44.282923Z digest=sha256:f96050ccdf340be18e7096306e094b8c312f9de87e95d23a74790f747abaacc3

Observation e5cbe3bf-d5e6-4a8f-bfd3-5f5c771980c1 · inbound

The Human Labour of Data Work: Capturing Cultural Diversity through World Wide Dishes cites this paper.

The Human Labour of Data Work: Capturing Cultural Diversity through World Wide Dishes MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:16:21.050769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T17:16:18.153543Z digest=sha256:e86b864e90674e7bfb0a572924e483a9b618beec075433f9c10f7375a5e61d68