Pith Number
pith:ONRQTL6Y
pith:2025:ONRQTL6Y7IW4M4MPJQDK2NOOFO
not attested
not anchored
not stored
refs pending
High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes
arxiv:2507.05952 v1 · 2025-07-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ONRQTL6Y7IW4M4MPJQDK2NOOFO}
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 | 2026-07-05T11:33:39.098813Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
736309afd8fa2dc6718f4c06ad35ce2bb8b0d18f5b64ffdeea337c4adc8eb7c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ONRQTL6Y7IW4M4MPJQDK2NOOFO \
| 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: 736309afd8fa2dc6718f4c06ad35ce2bb8b0d18f5b64ffdeea337c4adc8eb7c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "12707a1642586c9b970a50be19d26fdcb0f0b0d611705ee8a810ed766ce39f94",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-08T12:50:39Z",
"title_canon_sha256": "9f3fd2bc89a427d0797196dd1af3437c873f8a29a0d909add25f6f50a989808b"
},
"schema_version": "1.0",
"source": {
"id": "2507.05952",
"kind": "arxiv",
"version": 1
}
}