Paper Citation Record · LEDGER

LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Language

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.07745.

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

pith.paper-citation-record.v1
2405.07745 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:31:10.028558Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:57:04.396587Z

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 9f19567d-bd69-405d-913d-dddd7d37a1bd · inbound

Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review cites this paper.

Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Language

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T23:31:10.028558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151ed985-92ae-4c9c-bf4d-4660c8d68012 · inbound

From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan cites this paper.

From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Language

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:57:04.400072Z

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.

Observation e1833ac7-c2ca-48ae-9c0d-9fa3ed7a3459 · inbound

Preperiodic points, finiteness, and structures of semigroups of algebraic morphisms cites this paper.

Preperiodic points, finiteness, and structures of semigroups of algebraic morphisms LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Language

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T21:15:36.060628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d33930-e030-4875-94aa-1c6bbd971ec1 · inbound

Cross-Lingual Transfer and Parameter-Efficient Adaptation in the Turkic Language Family: A Theoretical Framework for Low-Resource Language Models cites this paper.

Cross-Lingual Transfer and Parameter-Efficient Adaptation in the Turkic Language Family: A Theoretical Framework for Low-Resource Language Models LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Language

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:09:57.872384Z

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.