Pith Number
pith:KKYVYNHW
pith:2017:KKYVYNHWCGKT3YTVCI3ZHLWEXB
not attested
not anchored
not stored
refs pending
An Artificial Neural Network for Gait Analysis to Estimate Blood Alcohol Content Level
arxiv:1712.01691 v3 · 2017-12-03 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KKYVYNHWCGKT3YTVCI3ZHLWEXB}
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 | 2026-05-18T00:28:01.546491Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
52b15c34f611953de275123793aec4b872d73a52b25c7f3eb72679d7ea849dca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KKYVYNHWCGKT3YTVCI3ZHLWEXB \
| 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: 52b15c34f611953de275123793aec4b872d73a52b25c7f3eb72679d7ea849dca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b5d051887a9b596452984921a9a3cb9602346d7587c984ea8aec68f83a44534b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2017-12-03T03:18:11Z",
"title_canon_sha256": "5c74a33a4b48f02a7e6e3f4e3d4f4f5a8504a38b2fc2328a1d7c98e9e20a224e"
},
"schema_version": "1.0",
"source": {
"id": "1712.01691",
"kind": "arxiv",
"version": 3
}
}