Pith Number
pith:KZ4NMIY7
pith:2020:KZ4NMIY7QZ6GX37TGT6U526EWA
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Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
arxiv:2003.08802 v1 · 2020-03-17 · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KZ4NMIY7QZ6GX37TGT6U526EWA}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T00:49:14.301221Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5678d6231f867c6beff334fd4eebc4b011e9e52f8ef94df20d2a8a8e12860d4f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KZ4NMIY7QZ6GX37TGT6U526EWA \
| 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: 5678d6231f867c6beff334fd4eebc4b011e9e52f8ef94df20d2a8a8e12860d4f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e493ac62edaedba3e3ebe0f9cec99243c26011fb98b8b02853159be1f6e8e74a",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-03-17T02:49:51Z",
"title_canon_sha256": "28d3522edc768f7cc092098029f2a1ba72d894239844ab147b1389098ba481bc"
},
"schema_version": "1.0",
"source": {
"id": "2003.08802",
"kind": "arxiv",
"version": 1
}
}