Pith Number
pith:HKKGLCNY
pith:2016:HKKGLCNYMNVUR3UG46RYYCE2FZ
not attested
not anchored
not stored
refs pending
Automated Breast Lesion Segmentation in Ultrasound Images
arxiv:1609.08364 v1 · 2016-09-27 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HKKGLCNYMNVUR3UG46RYYCE2FZ}
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
✓
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 | 2026-05-18T01:03:46.063506Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a946589b8636b48ee86e7a38c089a2e5821d0255f2d323bbe28da263a8973c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HKKGLCNYMNVUR3UG46RYYCE2FZ \
| 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: 3a946589b8636b48ee86e7a38c089a2e5821d0255f2d323bbe28da263a8973c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "84a8dff024b2d5bd95b7d54e8f8c35df4bc79cf2fef308cc8823b0f436f0ad6f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-09-27T11:51:16Z",
"title_canon_sha256": "5d080db5842c343d17b3842139435053d6923336fcc5c5b921cce41941d13352"
},
"schema_version": "1.0",
"source": {
"id": "1609.08364",
"kind": "arxiv",
"version": 1
}
}