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Paper Citation Record · LEDGER

Polyglot Contextual Representations Improve Crosslingual Transfer

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.09697.

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

pith.paper-citation-record.v1
1902.09697 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:26:12.437955Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:55:28.142694Z

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 c33a5183-87e5-4709-b9b2-fc271931b15c · inbound

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation cites this paper.

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation Polyglot Contextual Representations Improve Crosslingual Transfer

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:55:28.146881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T05:55:27.871038Z digest=sha256:8b7b8e19404753136ea3c8cf462484e3fb1a72e757051cbf9671d50c9f668d72

Observation e0ddb49a-369d-4cf4-9ec6-8d960e1ace90 · inbound

EDU-NER-2025: Named Entity Recognition in Urdu Educational Texts using XLM-RoBERTa with X (formerly Twitter) cites this paper.

EDU-NER-2025: Named Entity Recognition in Urdu Educational Texts using XLM-RoBERTa with X (formerly Twitter) Polyglot Contextual Representations Improve Crosslingual Transfer

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T10:26:12.437955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:26:12.437955Z digest=sha256:87bab50f2aa0925dd50d6da1aa556a083fb71501abca7c7a90fded1b1a8af325