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Paper Citation Record · LEDGER

Lifting the Curse of Multilinguality by Pre-training Modular Transformers

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.06266.

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

pith.paper-citation-record.v1
2205.06266 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:19:30.771381Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 25878b2a-6fb1-4b2f-b286-80c14c89b1ec · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Lifting the Curse of Multilinguality by Pre-training Modular Transformers

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:45:17.822959Z

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=arxiv_source observed=2026-05-15T17:45:17.540282Z digest=sha256:d2fae4c60477d297c0ed7aab3dadd9b59629b9d49d4c99fd39abe82139858dae

Observation 462ea0e2-a7e9-4b1d-8318-020ff8c5c851 · inbound

Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian cites this paper.

Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian Lifting the Curse of Multilinguality by Pre-training Modular Transformers

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T05:19:30.771381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:19:30.771381Z digest=sha256:f2b2d532fa65df12cdd99e31592ea5938801071729d664613e0b8506d1971dbf