Pith Number
pith:XRPYYRDW
pith:2022:XRPYYRDWWL4KDY2Z5SEN3VLUZ4
not attested
not anchored
not stored
refs pending
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows
arxiv:2208.08274 v1 · 2022-08-16 · cs.GR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XRPYYRDWWL4KDY2Z5SEN3VLUZ4}
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 | 2026-07-05T04:49:25.923149Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bc5f8c4476b2f8a1e359ec88ddd574cf0cc7eb303cdf8426461b9e153450b2dd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XRPYYRDWWL4KDY2Z5SEN3VLUZ4 \
| 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: bc5f8c4476b2f8a1e359ec88ddd574cf0cc7eb303cdf8426461b9e153450b2dd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a74b515162ffa165c3ac2e2834c57c615ea6187a2cdd03d20d539ebe2e04a666",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.GR",
"submitted_at": "2022-08-16T14:35:47Z",
"title_canon_sha256": "fd91c8efc59baca24e008eb088cce54186b38d3134a3980f5d76d172fa0e3dfa"
},
"schema_version": "1.0",
"source": {
"id": "2208.08274",
"kind": "arxiv",
"version": 1
}
}