Pith Number

pith:AWBWG7T2

pith:2026:AWBWG7T2LTPT5NTGNFJKGBBKTG

not attested not anchored not stored refs pending

Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir

Mullosharaf K. Arabov, Svetlana S. Khaybullina

QLoRA on Mistral-7B and Phi-2 reaches near full fine-tuning perplexity for Bashkir with over 40 times fewer trainable parameters.

arxiv:2605.04948 v2 · 2026-05-06 · cs.CL

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\usepackage{pith}
\pithnumber{AWBWG7T2LTPT5NTGNFJKGBBKTG}

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4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

QLoRA applied to Mistral-7B (3.79) and Phi-2 (3.81) achieved comparable quality with over 40 times fewer trainable parameters.

C2weakest assumption

That the 71k-document Bashkir corpus is sufficiently representative for both training and reliable test-set evaluation, and that tokenizer compatibility issues do not dominate the observed performance differences across architectures.

C3one line summary

QLoRA on 7B-scale models like Mistral achieves perplexity within 0.45 of full fine-tuning on GPT-2 medium for Bashkir while using over 40 times fewer trainable parameters, though best perplexity does not guarantee coherent monolingual generation.

Receipt and verification

First computed	2026-06-02T03:05:05.623385Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0583637e7a5cdf3eb6666952a3042a99b5f508b05fe35d8ac191b6f1a665396a

Aliases

arxiv: 2605.04948 · arxiv_version: 2605.04948v2 · doi: 10.48550/arxiv.2605.04948 · pith_short_12: AWBWG7T2LTPT · pith_short_16: AWBWG7T2LTPT5NTG · pith_short_8: AWBWG7T2

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/AWBWG7T2LTPT5NTGNFJKGBBKTG \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 0583637e7a5cdf3eb6666952a3042a99b5f508b05fe35d8ac191b6f1a665396a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "42bfc4c333f2ae086c17dbfae01adefb3b03da57166a538f8b573bd63b08a958",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-05-06T14:14:35Z",
    "title_canon_sha256": "35df3c614deb2de9e8d5bcdbb2c94648e245f7d69825301ca81b82508341b446"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.04948",
    "kind": "arxiv",
    "version": 2
  }
}