Pith Number
pith:MYBHC33F
pith:2018:MYBHC33FG7E2QJFIUIEIRWJWH5
not attested
not anchored
not stored
refs pending
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images
arxiv:1807.02152 v1 · 2018-07-05 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MYBHC33FG7E2QJFIUIEIRWJWH5}
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 | 2026-05-18T00:11:22.964844Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6602716f6537c9a824a8a20888d9363f7ad56100ec63f096177991369730a85d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MYBHC33FG7E2QJFIUIEIRWJWH5 \
| 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: 6602716f6537c9a824a8a20888d9363f7ad56100ec63f096177991369730a85d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1c42d1ca559a9d151f2d25c56572cff58ed6bbc1bd2474c15fb50c5532a54815",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-05T18:56:14Z",
"title_canon_sha256": "15697fc6c1ffb9f55d0d8ed533ad61a0645065c1a03ee5f0ec8eb99f5670a9e4"
},
"schema_version": "1.0",
"source": {
"id": "1807.02152",
"kind": "arxiv",
"version": 1
}
}