Pith Number
pith:KEZNPUKG
pith:2022:KEZNPUKG2T2HR5NEE5SCMQNATP
not attested
not anchored
not stored
refs pending
Guided deep learning by subaperture decomposition: ocean patterns from SAR imagery
arxiv:2204.04438 v1 · 2022-04-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KEZNPUKG2T2HR5NEE5SCMQNATP}
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 | 2026-07-05T04:12:57.261832Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5132d7d146d4f478f5a427642641a09bd2aa7612f03f4f3093f1d815a035c32a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KEZNPUKG2T2HR5NEE5SCMQNATP \
| 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: 5132d7d146d4f478f5a427642641a09bd2aa7612f03f4f3093f1d815a035c32a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3e14e28ba8bbbc3dd63417f7e21a25c0807b773d6cd4a3b9c5e5c26ea460513a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-04-09T09:49:05Z",
"title_canon_sha256": "2e1e51434bd9413d677d76e1f21191a761381bd6348661a7c7fef0ef5d76819d"
},
"schema_version": "1.0",
"source": {
"id": "2204.04438",
"kind": "arxiv",
"version": 1
}
}