Pith Number
pith:NQMLAYHH
pith:2026:NQMLAYHH7MNV6H4H6SXJBIWRAS
not attested
not anchored
not stored
refs pending
Accelerating 3D Gaussian Splatting using Tensor Cores
arxiv:2605.17855 v1 · 2026-05-18 · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NQMLAYHH7MNV6H4H6SXJBIWRAS}
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 | 2026-05-20T00:05:01.995971Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c18b060e7fb1b5f1f87f4ae90a2d104817519c832741ef664727e17d92537e6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NQMLAYHH7MNV6H4H6SXJBIWRAS \
| 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: 6c18b060e7fb1b5f1f87f4ae90a2d104817519c832741ef664727e17d92537e6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "37f467213f1e56694ef078eebbc618ac34b91ab178620e4256759040bdd45c7f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.GR",
"submitted_at": "2026-05-18T04:53:03Z",
"title_canon_sha256": "f730587d429a64676ef7edb478a50cb861919c6d436084fc0dc78cd3aacbbb7d"
},
"schema_version": "1.0",
"source": {
"id": "2605.17855",
"kind": "arxiv",
"version": 1
}
}