Pith Number
pith:2OVRO77H
pith:2026:2OVRO77HDNFNKKUV5KLFT7Z5IN
not attested
not anchored
not stored
refs pending
SpatialQ: Understanding 3D Gaussian Splatting Scene Quality via Visual-based MLLM
arxiv:2607.26595 v1 · 2026-07-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2OVRO77HDNFNKKUV5KLFT7Z5IN}
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 | 2026-07-30T01:21:31.428315Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
d3ab177fe71b4ad52a95ea9659ff3d4352423e5e30b8feb1ca412b6da82a167e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2OVRO77HDNFNKKUV5KLFT7Z5IN \
| 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: d3ab177fe71b4ad52a95ea9659ff3d4352423e5e30b8feb1ca412b6da82a167e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b256f50e00fbaf001aa637a9c3ae12f330f0ef002371923c353bc127024df1ef",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-29T08:14:40Z",
"title_canon_sha256": "468010b1d3fb7786abef191f17f12e2c749a7300a4000f820a44ae43564b59e6"
},
"schema_version": "1.0",
"source": {
"id": "2607.26595",
"kind": "arxiv",
"version": 1
}
}