Pith Number
pith:62I344EH
pith:2017:62I344EHOQ2E4UVLRCB6VH3IFR
not attested
not anchored
not stored
refs pending
Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network
arxiv:1710.05956 v4 · 2017-10-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{62I344EHOQ2E4UVLRCB6VH3IFR}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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 | 2026-05-17T23:52:18.837718Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f691be708774344e52ab8883ea9f682c69343c467b5596cf4cdc68a64a1c8c45
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/62I344EHOQ2E4UVLRCB6VH3IFR \
| 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: f691be708774344e52ab8883ea9f682c69343c467b5596cf4cdc68a64a1c8c45
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0a24bf95c3d660a2f5ce21c36fc81392820fef6955c8ff76b96c0c3efa8a2329",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-10-16T18:43:45Z",
"title_canon_sha256": "67d7259e38b31c6c22e14224767249798df0cb6b3fe778d70a99e2b8024f8f10"
},
"schema_version": "1.0",
"source": {
"id": "1710.05956",
"kind": "arxiv",
"version": 4
}
}