Pith Number
pith:3FB7BQGN
pith:2021:3FB7BQGNPOVSFIPPAIDKVVIA3R
not attested
not anchored
not stored
refs pending
Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data
arxiv:2103.03836 v1 · 2021-02-28 · eess.SP · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3FB7BQGNPOVSFIPPAIDKVVIA3R}
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 | 2026-07-05T02:20:40.268830Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d943f0c0cd7bab22a1ef0206aad500dc688f2f84f1e1bd23971cc3ee6e989617
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3FB7BQGNPOVSFIPPAIDKVVIA3R \
| 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: d943f0c0cd7bab22a1ef0206aad500dc688f2f84f1e1bd23971cc3ee6e989617
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ae59fd1072ad3410be89b35ef066b7cf322ade40d2624ec1a1bf42e9c2699b08",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2021-02-28T06:49:52Z",
"title_canon_sha256": "57f37eb3e9b4963a9690db49c0fb946fd905bc24398f7bf220df40951fa8c59b"
},
"schema_version": "1.0",
"source": {
"id": "2103.03836",
"kind": "arxiv",
"version": 1
}
}