Pith Number
pith:N5BIMLZM
pith:2016:N5BIMLZMZZIDUTRPIGXU6DMJNJ
not attested
not anchored
not stored
refs pending
Exercise Motion Classification from Large-Scale Wearable Sensor Data Using Convolutional Neural Networks
arxiv:1610.07031 v3 · 2016-10-22 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N5BIMLZMZZIDUTRPIGXU6DMJNJ}
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 | 2026-05-18T00:39:47.311849Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6f42862f2cce503a4e2f41af4f0d896a76375cd35e76d9450aab8e43d8801404
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N5BIMLZMZZIDUTRPIGXU6DMJNJ \
| 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: 6f42862f2cce503a4e2f41af4f0d896a76375cd35e76d9450aab8e43d8801404
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "35d4c4d7e0af932e0c53fa85141086b1ef75e1f173932fb61c92ff5fb12deb8b",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-10-22T10:46:01Z",
"title_canon_sha256": "b3f7ec59677e3e41982969109e32b473afbda186a38f4144fc65cc150ef112bb"
},
"schema_version": "1.0",
"source": {
"id": "1610.07031",
"kind": "arxiv",
"version": 3
}
}