Pith Number
pith:V72SSOFN
pith:2017:V72SSOFNBYM4DOMA4MRJMSM3OU
not attested
not anchored
not stored
refs pending
Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks
arxiv:1703.10827 v1 · 2017-03-31 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V72SSOFNBYM4DOMA4MRJMSM3OU}
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 | 2026-05-18T00:47:32.582610Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aff52938ad0e19c1b980e32296499b751a180d05299341a2c36ec2aaaad37979
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V72SSOFNBYM4DOMA4MRJMSM3OU \
| 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: aff52938ad0e19c1b980e32296499b751a180d05299341a2c36ec2aaaad37979
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aceb43b10fc21744af7a07995c05513182f38866fd53e5f65914f00d7dc619e1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-03-31T10:05:00Z",
"title_canon_sha256": "052927a993536c0e3ed2abb8bef166a5e9e76b38ae99120ba6e6fda9799d0feb"
},
"schema_version": "1.0",
"source": {
"id": "1703.10827",
"kind": "arxiv",
"version": 1
}
}