Pith Number
pith:ZE2MM5MA
pith:2022:ZE2MM5MA2TSZNJI6KYHPFJ6QJ4
not attested
not anchored
not stored
refs pending
A deep learning algorithm for reducing false positives in screening mammography
arxiv:2204.06671 v1 · 2022-04-13 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZE2MM5MA2TSZNJI6KYHPFJ6QJ4}
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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 | 2026-07-05T04:14:44.752711Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c934c67580d4e596a51e560ef2a7d04f0b07320e86ef8dc88ea8b3a6a59c4a14
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZE2MM5MA2TSZNJI6KYHPFJ6QJ4 \
| 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: c934c67580d4e596a51e560ef2a7d04f0b07320e86ef8dc88ea8b3a6a59c4a14
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "74cda5b2efbbb91e807d8ad7f02b7d478ab344e298b11d6a177521efc8fcb101",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-04-13T23:37:40Z",
"title_canon_sha256": "52135d065a45954dcd5e80e8f86d36c6e105b6760545a136138a8469d9bef646"
},
"schema_version": "1.0",
"source": {
"id": "2204.06671",
"kind": "arxiv",
"version": 1
}
}