Pith Number
pith:QOETX2XC
pith:2021:QOETX2XCUBFZDWXNA4XMD2FTUK
not attested
not anchored
not stored
refs pending
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices
arxiv:2108.11754 v1 · 2021-08-22 · cs.LG · cs.CV · cs.PF
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QOETX2XCUBFZDWXNA4XMD2FTUK}
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.
Receipt and verification
| First computed | 2026-07-05T03:09:09.530546Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
83893beae2a04b91daed072ec1e8b3a2b5e07fbd7d9a69730ac544d3816eef91
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QOETX2XCUBFZDWXNA4XMD2FTUK \
| 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: 83893beae2a04b91daed072ec1e8b3a2b5e07fbd7d9a69730ac544d3816eef91
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "07a5ace7588ce3af4d3866ec5644d24f07b1d5437970873912b84f94937ac5db",
"cross_cats_sorted": [
"cs.CV",
"cs.PF"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-08-22T01:48:53Z",
"title_canon_sha256": "35f0f01baa78026268e46d2ca97277c70d31dc8373fa7655edcfa2690edb11a5"
},
"schema_version": "1.0",
"source": {
"id": "2108.11754",
"kind": "arxiv",
"version": 1
}
}