Pith Number
pith:EUEX7AGF
pith:2021:EUEX7AGFJTLXMORMRPNZXUXCQU
not attested
not anchored
not stored
refs pending
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks
arxiv:2103.15449 v3 · 2021-03-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EUEX7AGFJTLXMORMRPNZXUXCQU}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T04:47:55.141852Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
25097f80c54cd7763a2c8bdb9bd2e28530de8edc1236f4a0452bcdbcd28fd530
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EUEX7AGFJTLXMORMRPNZXUXCQU \
| 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: 25097f80c54cd7763a2c8bdb9bd2e28530de8edc1236f4a0452bcdbcd28fd530
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c39cb8495350cf176465d6346ad967a611fdc65ffc0b39af19b9129f6fa8d1c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-03-29T09:32:45Z",
"title_canon_sha256": "312b86b6aa44bd4c9fd35f049304da188718df54429d2d33fb81c08dfb5c6ea9"
},
"schema_version": "1.0",
"source": {
"id": "2103.15449",
"kind": "arxiv",
"version": 3
}
}