Pith Number
pith:ABMI3Y4V
pith:2023:ABMI3Y4VLBKOBUOCRPT3ETS3KT
not attested
not anchored
not stored
refs pending
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models
arxiv:2307.11991 v2 · 2023-07-22 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ABMI3Y4VLBKOBUOCRPT3ETS3KT}
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
✓
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 | 2026-07-05T06:46:49.288870Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
00588de3955854e0d1c28be7b24e5b54d7ed049c290c3247bc112d98dcebdaef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ABMI3Y4VLBKOBUOCRPT3ETS3KT \
| 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: 00588de3955854e0d1c28be7b24e5b54d7ed049c290c3247bc112d98dcebdaef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d01c002048b4b16ab3e669ee5edf95687269acdd86655946303c07e472b3bc4",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-07-22T06:21:41Z",
"title_canon_sha256": "45f11a0a921df38f36bd4481b3b1b9e07c7093a16e057e0e5d3c84fdc0b74d8f"
},
"schema_version": "1.0",
"source": {
"id": "2307.11991",
"kind": "arxiv",
"version": 2
}
}