Pith Number
pith:B46MZKQS
pith:2016:B46MZKQSI7R7R2NXVNSVFOQCSB
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refs pending
Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput
arxiv:1611.03607 v1 · 2016-11-11 · cs.CV · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B46MZKQSI7R7R2NXVNSVFOQCSB}
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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 | 2026-05-18T00:59:33.731207Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f3cccaa1247e3f8e9b7ab6552ba0290664067fef6c1e9629640d0fc47de72e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B46MZKQSI7R7R2NXVNSVFOQCSB \
| 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: 0f3cccaa1247e3f8e9b7ab6552ba0290664067fef6c1e9629640d0fc47de72e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c7aa96e15ebca4e38059115882e004ca15cc7a95597d00e3d809d3ec2a760500",
"cross_cats_sorted": [
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-11-11T08:21:09Z",
"title_canon_sha256": "7dd65029a65ae2c620613b71404241254cc3c7e209ea695750ebafabd9e01642"
},
"schema_version": "1.0",
"source": {
"id": "1611.03607",
"kind": "arxiv",
"version": 1
}
}