Pith Number
pith:MMPBW2RP
pith:2024:MMPBW2RPKV7QMXDRCUA4W7DBNQ
not attested
not anchored
not stored
refs pending
3D$^2$-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling
arxiv:2412.11599 v1 · 2024-12-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MMPBW2RPKV7QMXDRCUA4W7DBNQ}
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
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claim
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 | 2026-07-05T09:49:48.248165Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
631e1b6a2f557f065c711501cb7c616c062b07506d460f8b1f11334238c9a6c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MMPBW2RPKV7QMXDRCUA4W7DBNQ \
| 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: 631e1b6a2f557f065c711501cb7c616c062b07506d460f8b1f11334238c9a6c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "06364f7d68c3c10063249563664fc88111319062a2f86874587afbe740bea260",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-16T09:37:52Z",
"title_canon_sha256": "7a5dfa8a727b43b8c49faaf13124d4c235753a7bb3bd9fa4006a3e138b3227fb"
},
"schema_version": "1.0",
"source": {
"id": "2412.11599",
"kind": "arxiv",
"version": 1
}
}