pith:KQMSWUM4
Graphical X Splatting (GraphiXS): A Graphical Model for 4D Gaussian Splatting under Uncertainty
GraphiXS introduces a graphical probabilistic model to incorporate data uncertainty into 4D Gaussian Splatting.
arxiv:2601.19843 v3 · 2026-01-27 · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KQMSWUM46PZXL3VMEPFJS7A4LF}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
GraphiXS is a new probabilistic framework that considers multiple types of data uncertainty, aiming for a fundamental augmentation of the current 4D Gaussian Splatting paradigm into a probabilistic setting.
That various types of data uncertainty (view sparsity, missing frames, camera asynchronization) can be holistically incorporated under a single graphical model framework that can be instantiated with primitives such as Gaussians or Student's-t.
GraphiXS is a new probabilistic graphical framework that augments 4D Gaussian Splatting to systematically handle multiple types of data uncertainty such as view sparsity and missing frames.
Receipt and verification
| First computed | 2026-06-10T01:09:53.515756Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
54192b519cf3f375eeac23ca997c1c596817f6052411b6c7fd04f91482ce5840
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KQMSWUM46PZXL3VMEPFJS7A4LF \
| 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: 54192b519cf3f375eeac23ca997c1c596817f6052411b6c7fd04f91482ce5840
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c9e81b79e15bc5dc9d451bc7bddc37521f931dfb2bf76ae0f7a78cbac96f03b8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.GR",
"submitted_at": "2026-01-27T17:50:07Z",
"title_canon_sha256": "47c3cbcf59609b64d8b52ce158c16bc43179a6206d6bf195bb907019b8fa07ce"
},
"schema_version": "1.0",
"source": {
"id": "2601.19843",
"kind": "arxiv",
"version": 3
}
}