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Paper Citation Record · LEDGER

From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.09138.

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

pith.paper-citation-record.v1
2404.09138 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:21.365608Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:36:04.472289Z

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 3811e091-dc12-4154-a6ae-efed895a59af · inbound

Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine cites this paper.

Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:21.365608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:42:21.365608Z digest=sha256:92911dcb32cfd5ae70ec13e90340dd76a4b071e7505a605fcd090e2a9f86e1bd

Observation 43a05f0b-e5ac-4620-88b5-11a3158d37d8 · inbound

Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation cites this paper.

Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:36:04.476211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:36:04.313706Z digest=sha256:eb5da7ef4173156d1c805abf5d51c1d7021ef800e8a3a24e096415e0d65d784a