Pith Number
pith:IY42RG63
pith:2021:IY42RG636GGDY4SVBUGHL6X4L4
not attested
not anchored
not stored
refs pending
Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches
arxiv:2105.06295 v3 · 2021-05-12 · eess.SP · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IY42RG636GGDY4SVBUGHL6X4L4}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
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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 | 2026-07-05T06:29:17.700207Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4639a89bdbf18c3c72550d0c75fafc5f0bf326e6b0a049dc9907781b5a7b3f81
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IY42RG636GGDY4SVBUGHL6X4L4 \
| 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: 4639a89bdbf18c3c72550d0c75fafc5f0bf326e6b0a049dc9907781b5a7b3f81
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "09a3949b82fda377fedaee0b94be2d84bd1ae0760e9d94e07404d743b126c14b",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2021-05-12T07:06:57Z",
"title_canon_sha256": "c16cf83caaf8834583dd4543d3599bf97f04ef2b978d625a48fa8125ac11abf2"
},
"schema_version": "1.0",
"source": {
"id": "2105.06295",
"kind": "arxiv",
"version": 3
}
}