Pith Number
pith:M7Y3C4CQ
pith:2017:M7Y3C4CQQY5RBRAS3WVIQQXGTE
not attested
not anchored
not stored
refs pending
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion
arxiv:1711.11155 v1 · 2017-11-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M7Y3C4CQQY5RBRAS3WVIQQXGTE}
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.
Receipt and verification
| First computed | 2026-05-18T00:29:12.332604Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
67f1b17050863b10c412ddaa8842e69912420dc4f3a6ddad19bf97da53d5c76c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M7Y3C4CQQY5RBRAS3WVIQQXGTE \
| 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: 67f1b17050863b10c412ddaa8842e69912420dc4f3a6ddad19bf97da53d5c76c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33c8e117a7b8b69ba1d9fed436da332065ba5dca8604e9250a707311a8fd8bd3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-29T23:39:43Z",
"title_canon_sha256": "637c0eacb1b673992b5805f9a1ecf8d7fc54e6e1880cf4b49f948c7433b993b6"
},
"schema_version": "1.0",
"source": {
"id": "1711.11155",
"kind": "arxiv",
"version": 1
}
}