Pith Number
pith:K7N7VG3O
pith:2023:K7N7VG3ONKBXOCY2FYNN6LBZMS
not attested
not anchored
not stored
refs pending
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
arxiv:2309.13567 v3 · 2023-09-24 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K7N7VG3ONKBXOCY2FYNN6LBZMS}
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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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:44:20.393063Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57dbfa9b6e6a83770b1a2e1adf2c3964ab13b0e133e8d66a324d75ddd8186b95
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K7N7VG3ONKBXOCY2FYNN6LBZMS \
| 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: 57dbfa9b6e6a83770b1a2e1adf2c3964ab13b0e133e8d66a324d75ddd8186b95
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f9518b97bcaaa1122bd7acc87f29037ebff9dfe3c200297296b6fa405eb6a8b3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-09-24T06:46:08Z",
"title_canon_sha256": "fc2a477bd5d64b9cf28a0c130c4de863e09256ee1fd6e7e888e474dc750b6498"
},
"schema_version": "1.0",
"source": {
"id": "2309.13567",
"kind": "arxiv",
"version": 3
}
}