Pith Number
pith:VQVZXJF3
pith:2026:VQVZXJF3FBA4DPKDF2QG3C6LNG
not attested
not anchored
not stored
refs pending
PocketGS: On-Device Training of 3D Gaussian Splatting for High Perceptual Modeling
arxiv:2601.17354 v5 · 2026-01-24 · cs.CV · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VQVZXJF3FBA4DPKDF2QG3C6LNG}
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 | 2026-05-28T01:04:35.522167Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac2b9ba4bb2841c1bd432ea06d8bcb69b9ec13db9fcd33f02f11f0f4c0aa4ce7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VQVZXJF3FBA4DPKDF2QG3C6LNG \
| 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: ac2b9ba4bb2841c1bd432ea06d8bcb69b9ec13db9fcd33f02f11f0f4c0aa4ce7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "25aaa7e8fa75fe23ca719462560c168462730c799236472acc296ac7f55aaa02",
"cross_cats_sorted": [
"cs.GR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-01-24T07:58:53Z",
"title_canon_sha256": "b9ddd45ef2f5dd29d3b62fcf403b34b6e25ac642b9a9242bd328a2254a659275"
},
"schema_version": "1.0",
"source": {
"id": "2601.17354",
"kind": "arxiv",
"version": 5
}
}