Pith Number
pith:FVJX3BQ6
pith:2025:FVJX3BQ6PCSDAKXAS57AT6J5RR
not attested
not anchored
not stored
refs pending
GS-SDF: LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and Reconstruction
arxiv:2503.10170 v2 · 2025-03-13 · cs.RO · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FVJX3BQ6PCSDAKXAS57AT6J5RR}
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 | 2026-07-05T11:44:46.518303Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d537d861e78a4302ae0977e09f93d8c46931295017704903161f0958e15d0c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FVJX3BQ6PCSDAKXAS57AT6J5RR \
| 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: 2d537d861e78a4302ae0977e09f93d8c46931295017704903161f0958e15d0c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5fd464378cb5073f2fc0c5734da9b39b9e649bdbd51e389be517e29fd095463d",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-03-13T08:53:38Z",
"title_canon_sha256": "beaa3def32f4f8bd6df2a549c637f0d5c0243a80dc39c3f8d8097e4db683237c"
},
"schema_version": "1.0",
"source": {
"id": "2503.10170",
"kind": "arxiv",
"version": 2
}
}