Pith Number
pith:FT4DC4AZ
pith:2025:FT4DC4AZBRYLCVWEUYKWZRT2VU
not attested
not anchored
not stored
refs pending
Are Large Language Models the future crowd workers of Linguistics?
arxiv:2502.10266 v1 · 2025-02-14 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FT4DC4AZBRYLCVWEUYKWZRT2VU}
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
· sign in to
claim
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 | 2026-07-05T10:14:30.769260Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2cf83170190c70b156c4a6156cc67aad2af5a3eb5ad125853272a4e6cd4fc7aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FT4DC4AZBRYLCVWEUYKWZRT2VU \
| 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: 2cf83170190c70b156c4a6156cc67aad2af5a3eb5ad125853272a4e6cd4fc7aa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e03fc5260f05856b9881831f541d78e5f5b964f11c3407ce3189ef46fc0d4a3d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-02-14T16:23:39Z",
"title_canon_sha256": "73c990a9e76448d1a532401a8152f6fc175a6227c1ad3d997fd3f351b6f40cba"
},
"schema_version": "1.0",
"source": {
"id": "2502.10266",
"kind": "arxiv",
"version": 1
}
}