Pith Number
pith:GNLUADVJ
pith:2024:GNLUADVJQA52JZCG4FTTCSYW4K
not attested
not anchored
not stored
refs pending
Uncertainty-guided Optimal Transport in Depth Supervised Sparse-View 3D Gaussian
arxiv:2405.19657 v1 · 2024-05-30 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GNLUADVJQA52JZCG4FTTCSYW4K}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T08:25:10.794597Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3357400ea9803ba4e446e167314b16e29555d388e8ed181446ab50656ae8d3ae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GNLUADVJQA52JZCG4FTTCSYW4K \
| 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: 3357400ea9803ba4e446e167314b16e29555d388e8ed181446ab50656ae8d3ae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2b2a6797c16e1998b8e2be9f18d17303119b49fb9ecb12d0b84d29fee0bebdf0",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-05-30T03:18:30Z",
"title_canon_sha256": "81130c53c0d0da97577a5bfc6ddc76a5a20f3287d4922dc0284251aeee243710"
},
"schema_version": "1.0",
"source": {
"id": "2405.19657",
"kind": "arxiv",
"version": 1
}
}