Pith Number
pith:OUJJAACK
pith:2016:OUJJAACKXXD43ATZYZ6R5RSZOM
not attested
not anchored
not stored
refs pending
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction
arxiv:1610.09736 v3 · 2016-10-31 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OUJJAACKXXD43ATZYZ6R5RSZOM}
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 | 2026-05-18T00:24:20.455199Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
751290004abdc7cd8279c67d1ec6597301b7532ce6aa716adfd53727362ccb56
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OUJJAACKXXD43ATZYZ6R5RSZOM \
| 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: 751290004abdc7cd8279c67d1ec6597301b7532ce6aa716adfd53727362ccb56
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5475dc69b527f7d05d76361c00e3c6fa1c54cf9260dbe060e7774040838f4a23",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-10-31T00:02:56Z",
"title_canon_sha256": "a3df821297fc65a8978d104b41d66d1662a8dddb0823f7cb7461247015116591"
},
"schema_version": "1.0",
"source": {
"id": "1610.09736",
"kind": "arxiv",
"version": 3
}
}