Pith Number
pith:4C7M2KWP
pith:2016:4C7M2KWPBVNROVPQW4FWH6PAHP
not attested
not anchored
not stored
refs pending
Deep learning trends for focal brain pathology segmentation in MRI
arxiv:1607.05258 v3 · 2016-07-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4C7M2KWPBVNROVPQW4FWH6PAHP}
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
· sign in to
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 | 2026-05-18T00:52:16.925849Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e0becd2acf0d5b1755f0b70b63f9e03be6e6cebb254ef2eca68e4d879b2f443e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4C7M2KWPBVNROVPQW4FWH6PAHP \
| 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: e0becd2acf0d5b1755f0b70b63f9e03be6e6cebb254ef2eca68e4d879b2f443e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8cbe183a04e8d48cfe73e0ea01ec09aca3a8993e5af542a4cd01049cc3f9fa37",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-07-18T19:52:00Z",
"title_canon_sha256": "c9f896bdfe3f2636147408b5a2218f2e72ea7a86726ddc9a09821e9f713e505e"
},
"schema_version": "1.0",
"source": {
"id": "1607.05258",
"kind": "arxiv",
"version": 3
}
}