Pith Number
pith:WYT5UWYW
pith:2018:WYT5UWYW3BZ4M4JOKIQYZ2ANWS
not attested
not anchored
not stored
refs pending
A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture
arxiv:1803.02665 v4 · 2018-03-07 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WYT5UWYW3BZ4M4JOKIQYZ2ANWS}
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 | 2026-05-18T00:04:59.307555Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b627da5b16d873c6712e52218ce80db48a15ec56c5e8c275ee49b80b96d3d892
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WYT5UWYW3BZ4M4JOKIQYZ2ANWS \
| 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: b627da5b16d873c6712e52218ce80db48a15ec56c5e8c275ee49b80b96d3d892
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "721766e2e1e620a43281cda7efe7ee34b7208a455eb56a06b5c1dde7ded183c3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-03-07T14:16:59Z",
"title_canon_sha256": "88137248a1fe9c1399567e6e59ba31620be1aa235762749a845950a68cca726e"
},
"schema_version": "1.0",
"source": {
"id": "1803.02665",
"kind": "arxiv",
"version": 4
}
}