Pith Number
pith:WIQ5V7VA
pith:2024:WIQ5V7VA26APBTE3LQEEXEKE3S
not attested
not anchored
not stored
refs pending
Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities
arxiv:2407.06125 v2 · 2024-07-08 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WIQ5V7VA26APBTE3LQEEXEKE3S}
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 | 2026-07-05T09:42:27.575694Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b221dafea0d780f0cc9b5c084b9144dc8524eb0760b3fbd96f16be0c7acc408b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WIQ5V7VA26APBTE3LQEEXEKE3S \
| 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: b221dafea0d780f0cc9b5c084b9144dc8524eb0760b3fbd96f16be0c7acc408b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2720a88468e65e37b7f35f5cfb733951c2d97992694528285cde54f02bcd9acc",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.HC",
"submitted_at": "2024-07-08T17:00:51Z",
"title_canon_sha256": "8aa2062c2fce4ace181001453f7960109618ed49597211a4d8885c5b3af1c998"
},
"schema_version": "1.0",
"source": {
"id": "2407.06125",
"kind": "arxiv",
"version": 2
}
}