Pith Number
pith:JI7KMHM6
pith:2023:JI7KMHM6NNQOP4XBPKZFJUMDB5
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not stored
refs pending
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?
arxiv:2302.14503 v1 · 2023-02-28 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JI7KMHM6NNQOP4XBPKZFJUMDB5}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T05:46:46.044990Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4a3ea61d9e6b60e7f2e17ab254d1830f42d9d78fae5ec967220984066d23d236
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JI7KMHM6NNQOP4XBPKZFJUMDB5 \
| 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: 4a3ea61d9e6b60e7f2e17ab254d1830f42d9d78fae5ec967220984066d23d236
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d138f1d754ffb318692864efebb3cd0c2d2a8ca7401cfdfe34f7f8c1c323821a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-02-28T11:34:55Z",
"title_canon_sha256": "46f49009288cbe86cedd02a1af3f4307b699bff18dc40dee157496be234080d6"
},
"schema_version": "1.0",
"source": {
"id": "2302.14503",
"kind": "arxiv",
"version": 1
}
}