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Paper Citation Record · LEDGER

Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.12971.

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

pith.paper-citation-record.v1
2102.12971 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:26.690849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:46:20.236013Z

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 c85177f7-1662-48a7-a728-8ff3bcff2fee · inbound

Ace-CEFR -- A Dataset for Automated Evaluation of the Linguistic Difficulty of Conversational Texts for LLM Applications cites this paper.

Ace-CEFR -- A Dataset for Automated Evaluation of the Linguistic Difficulty of Conversational Texts for LLM Applications Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling?

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:26.690849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:26.690849Z digest=sha256:797eb429e784c8e8319b766ee4f415d20766f9a0f11b6880807660a279697e88

Observation 958da384-c2e8-4acf-a5aa-a40e5bece226 · inbound

Automated Essay Scoring and Language Certification: Assessing Generalizability, Agreement and Validity for French cites this paper.

Automated Essay Scoring and Language Certification: Assessing Generalizability, Agreement and Validity for French Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling?

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:46:20.237965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T14:59:58.072052Z digest=sha256:f5af828cdce958151bd668aed56cbb27ac99dbd0652b2cbedc78f0941113b5b0