Pith Number
pith:V5SKZMYA
pith:2024:V5SKZMYANPO2HLDX5ADYUTOMKB
not attested
not anchored
not stored
refs pending
Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models
arxiv:2412.03796 v1 · 2024-12-05 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V5SKZMYANPO2HLDX5ADYUTOMKB}
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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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 | 2026-07-05T09:44:41.458384Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
af64acb3006bdda3ac77e8078a4dcc504228fe9a52a9f73c8946e6d5e1c7cc88
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V5SKZMYANPO2HLDX5ADYUTOMKB \
| 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: af64acb3006bdda3ac77e8078a4dcc504228fe9a52a9f73c8946e6d5e1c7cc88
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9a0b96d9609ce9751696960ee64c17a6fcfeac9040e32c7a96aa2e7fb0b05751",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-12-05T01:33:03Z",
"title_canon_sha256": "396d1acf5f966a12f725bea29acb0c1c1fb29a1e00636d72c30698a6cb9f51a0"
},
"schema_version": "1.0",
"source": {
"id": "2412.03796",
"kind": "arxiv",
"version": 1
}
}