Pith Number
pith:L2ZPVZLI
pith:2023:L2ZPVZLIDX7JZCOAYVUJP3IMHJ
not attested
not anchored
not stored
refs pending
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
arxiv:2312.02134 v3 · 2023-12-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L2ZPVZLIDX7JZCOAYVUJP3IMHJ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:02:23.031791Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5eb2fae5681dfe9c89c0c56897ed0c3a4933464db7c42d06b4931ea1a67b79c7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L2ZPVZLIDX7JZCOAYVUJP3IMHJ \
| 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: 5eb2fae5681dfe9c89c0c56897ed0c3a4933464db7c42d06b4931ea1a67b79c7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0eafe5cc31dbac4b7ae9560de08b9304d1c9f63e3b78fc5f3ff078f9e4d95c73",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-12-04T18:55:45Z",
"title_canon_sha256": "8440ef359406721ab004c22d070deddb23c8757f6e76734260bf8f20570f1948"
},
"schema_version": "1.0",
"source": {
"id": "2312.02134",
"kind": "arxiv",
"version": 3
}
}