Pith Number
pith:JETWKLJP
pith:2026:JETWKLJPEV6NADVRGSMLL7YCX5
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Can Large Language Models Imitate Human Speech for Clinical Assessment? LLM-Driven Data Augmentation for Cognitive Score Prediction
arxiv:2605.16077 v1 · 2026-05-15 · cs.CL
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\usepackage{pith}
\pithnumber{JETWKLJPEV6NADVRGSMLL7YCX5}
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Record completeness
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Citations
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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.
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Receipt and verification
| First computed | 2026-05-20T00:01:51.645394Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4927652d2f257cd00eb13498b5ff02bf48125ae1d24292d995ed4d0f04058802
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JETWKLJPEV6NADVRGSMLL7YCX5 \
| 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: 4927652d2f257cd00eb13498b5ff02bf48125ae1d24292d995ed4d0f04058802
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c2153e20ba58c3c2cfb6ef258fad3e2f929384b6a2dc3150dc3655a68c7ca4fa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-05-15T15:39:22Z",
"title_canon_sha256": "516086c8297fe23529e3efe88cdcc6aee9e52f0d88ef178085bda4ff2a4e9bf2"
},
"schema_version": "1.0",
"source": {
"id": "2605.16077",
"kind": "arxiv",
"version": 1
}
}