Pith Number
pith:72GNJHZQ
pith:2024:72GNJHZQL3BEBYLYTTWXO7G3UP
not attested
not anchored
not stored
refs pending
Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training
arxiv:2412.02775 v1 · 2024-12-03 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{72GNJHZQL3BEBYLYTTWXO7G3UP}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
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.
Receipt and verification
| First computed | 2026-07-05T09:44:19.323397Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe8cd49f305ec240e1789ced777cdba3eed0386d928436269afbf85277fba7ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/72GNJHZQL3BEBYLYTTWXO7G3UP \
| 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: fe8cd49f305ec240e1789ced777cdba3eed0386d928436269afbf85277fba7ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "973ba65cee83d88023dac46d7ddfc5f55530fd8e055f5b1114821d93fe38624f",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-12-03T19:17:18Z",
"title_canon_sha256": "0f14cf0590aaf7d6bad0567c584fdcc902fad949012ed68f06944183e917b544"
},
"schema_version": "1.0",
"source": {
"id": "2412.02775",
"kind": "arxiv",
"version": 1
}
}