Pith Number
pith:WPFCU5XG
pith:2025:WPFCU5XGJ2ILUFCS2H5QIRQKBP
not attested
not anchored
not stored
refs pending
BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields
arxiv:2507.06269 v3 · 2025-07-08 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WPFCU5XGJ2ILUFCS2H5QIRQKBP}
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 | 2026-07-05T12:05:18.701974Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b3ca2a76e64e90ba1452d1fb04460a0bc8e067f6124ae27f18d455bb877e2a91
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WPFCU5XGJ2ILUFCS2H5QIRQKBP \
| 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: b3ca2a76e64e90ba1452d1fb04460a0bc8e067f6124ae27f18d455bb877e2a91
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0ae5459b537e18817a27d1a8ca7350b1964cc6f666fae01a744f82b931022a5a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-08T03:21:12Z",
"title_canon_sha256": "cafa9ec834fd9c46dcea9ba0d736ca334688776aac8bf063c8ab684d816c7606"
},
"schema_version": "1.0",
"source": {
"id": "2507.06269",
"kind": "arxiv",
"version": 3
}
}