Pith Number
pith:OJUG7XDM
pith:2024:OJUG7XDMOBGGUKQ5WKMQIUHBV3
not attested
not anchored
not stored
refs pending
A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals
arxiv:2404.04890 v1 · 2024-04-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OJUG7XDMOBGGUKQ5WKMQIUHBV3}
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 | 2026-07-05T08:05:23.211398Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
72686fdc6c704c6a2a1db2990450e1aef31a95f7595c5474c53460a0b03bf91d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OJUG7XDMOBGGUKQ5WKMQIUHBV3 \
| 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: 72686fdc6c704c6a2a1db2990450e1aef31a95f7595c5474c53460a0b03bf91d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c0f2a5c78cf9ddfde34612fd7ffbe2f9fde8ec4522f3f79a2a801d07bc7e24a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-04-07T09:15:45Z",
"title_canon_sha256": "b42cddfb80a1f87b4f1150cf9e5cc3631845415fdcf311d46b5a70cf38eb41df"
},
"schema_version": "1.0",
"source": {
"id": "2404.04890",
"kind": "arxiv",
"version": 1
}
}