Pith Number
pith:5JE6JBQ4
pith:2023:5JE6JBQ47HYRDNJWWHJCJVTAAF
not attested
not anchored
not stored
refs pending
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
arxiv:2306.01405 v1 · 2023-06-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5JE6JBQ47HYRDNJWWHJCJVTAAF}
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.
Receipt and verification
| First computed | 2026-07-05T06:16:53.924980Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea49e4861cf9f111b536b1d224d660014873b21b1fce14f3cfcbf59ad34a9118
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5JE6JBQ47HYRDNJWWHJCJVTAAF \
| 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: ea49e4861cf9f111b536b1d224d660014873b21b1fce14f3cfcbf59ad34a9118
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e8fe21724c8ae4787aa982b04efa10a64e364ba267109a02b076ca8af0f06dd",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-06-02T09:52:04Z",
"title_canon_sha256": "38f16da69bb859c2fdf2aa1d5374b1ea245cddd1becae7abd1fb51a49b2dd7d4"
},
"schema_version": "1.0",
"source": {
"id": "2306.01405",
"kind": "arxiv",
"version": 1
}
}