Pith Number
pith:4HC7HRJG
pith:2024:4HC7HRJGEXXNNBVKHW5AIDY543
not attested
not anchored
not stored
refs pending
Identifying Unnecessary 3D Gaussians using Clustering for Fast Rendering of 3D Gaussian Splatting
arxiv:2402.13827 v2 · 2024-02-21 · cs.CV · cs.AR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4HC7HRJGEXXNNBVKHW5AIDY543}
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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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 | 2026-07-05T09:11:24.761559Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e1c5f3c52625eed686aa3dba040f1de6c2bf11dce5412f680151f83260ae8840
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4HC7HRJGEXXNNBVKHW5AIDY543 \
| 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: e1c5f3c52625eed686aa3dba040f1de6c2bf11dce5412f680151f83260ae8840
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "736e41ec5ac52d432d9633e55b0227d32271559c024833ba22ae0d1f794aa0fa",
"cross_cats_sorted": [
"cs.AR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-02-21T14:16:49Z",
"title_canon_sha256": "63fb89ecab5cba3739d43ad9c7391ef0025d0bccfb812b7fb57255fda42208c4"
},
"schema_version": "1.0",
"source": {
"id": "2402.13827",
"kind": "arxiv",
"version": 2
}
}