Pith Number
pith:B6C7E5LP
pith:2019:B6C7E5LP6NE5RTLVHZUPZOF3V3
not attested
not anchored
not stored
refs pending
Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach
arxiv:1905.03809 v1 · 2019-05-09 · cs.LG · cs.HC · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B6C7E5LP6NE5RTLVHZUPZOF3V3}
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 | 2026-05-17T23:46:08.736217Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f85f2756ff349d8cd753e68fcb8bbaed4ed831d046304924b8dab30e05ddd53
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B6C7E5LP6NE5RTLVHZUPZOF3V3 \
| 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: 0f85f2756ff349d8cd753e68fcb8bbaed4ed831d046304924b8dab30e05ddd53
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b020f6ba234aa49baac130769936965e55a1a37bc1199ef853917eab60a4266",
"cross_cats_sorted": [
"cs.HC",
"eess.SP"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-09T18:28:10Z",
"title_canon_sha256": "3e67639709abc3614ce8b1d24d86dafcec2cebf7d462462e9958a21134c6117d"
},
"schema_version": "1.0",
"source": {
"id": "1905.03809",
"kind": "arxiv",
"version": 1
}
}