Pith Number
pith:D3ZYXHUF
pith:2017:D3ZYXHUFSQ673EEHEJ5VQ5FH5W
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refs pending
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions
arxiv:1705.06224 v1 · 2017-05-17 · cs.LG · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D3ZYXHUFSQ673EEHEJ5VQ5FH5W}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:44:13.140483Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ef38b9e85943dfd9087227b5874a7ed866745ac8e79bf826d1c0c7cbd13b43e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D3ZYXHUFSQ673EEHEJ5VQ5FH5W \
| 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: 1ef38b9e85943dfd9087227b5874a7ed866745ac8e79bf826d1c0c7cbd13b43e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e8398663f0f9495ae903474cf4e5ae166486dba8ce129f758a2c299ce57cf9a0",
"cross_cats_sorted": [
"cs.HC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-05-17T15:55:53Z",
"title_canon_sha256": "19cf90a01a761f36988fc860bfe2b24536245566ff029e81301942a12394f5ab"
},
"schema_version": "1.0",
"source": {
"id": "1705.06224",
"kind": "arxiv",
"version": 1
}
}