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Paper Citation Record · LEDGER

Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the S\'ami Language

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.05777.

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

pith.paper-citation-record.v1
2405.05777 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:27:34.450868Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T19:40:52.359405Z

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 decc02f7-955b-4a6f-9c3c-46d0dc78df34 · inbound

LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models cites this paper.

LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the S\'ami Language

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T16:27:34.450868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:27:34.450868Z digest=sha256:9aaa57927764d8559900a44c096097df8b2ae90056271a98a0fc1c0fe15bd623

Observation e91ae77e-fbc9-446a-bbab-9022c75bb477 · inbound

Small Languages, Big Models: A Study of Continual Training on Languages of Norway cites this paper.

Small Languages, Big Models: A Study of Continual Training on Languages of Norway Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the S\'ami Language

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:40:52.368430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T19:40:51.701872Z digest=sha256:9a1f952f4d0039c4d15e0bda29a5ab4fbf2b94538cd47bc821da123b59ae4663