Pith Number
pith:PB7KH2DR
pith:2023:PB7KH2DRXHOCM47TZ7LWE3T425
not attested
not anchored
not stored
refs pending
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
arxiv:2307.14385 v4 · 2023-07-26 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PB7KH2DRXHOCM47TZ7LWE3T425}
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
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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 | 2026-07-05T07:38:29.289616Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
787ea3e871b9dc2673f3cfd7626e7cd74dd688295ceb6c5c13380e48d295785e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PB7KH2DRXHOCM47TZ7LWE3T425 \
| 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: 787ea3e871b9dc2673f3cfd7626e7cd74dd688295ceb6c5c13380e48d295785e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ea3e3bbfd3a66502facc3007d75358a4af1f4638c1938635064bb23befeb0c0a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-07-26T06:00:50Z",
"title_canon_sha256": "378cd7c535650e51111a48fd84c37b68172a1569e34feaeca441259c1ea48719"
},
"schema_version": "1.0",
"source": {
"id": "2307.14385",
"kind": "arxiv",
"version": 4
}
}