Pith Number
pith:MVWFK6FF
pith:2016:MVWFK6FF2YMDX2L7YT7ODVH5ZK
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refs pending
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
arxiv:1606.02382 v1 · 2016-06-08 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MVWFK6FF2YMDX2L7YT7ODVH5ZK}
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
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4
Citations
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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 | 2026-05-18T01:12:41.476727Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
656c5578a5d6183be97fc4fee1d4fdca860b74b71b998f77c94c699c4873942d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MVWFK6FF2YMDX2L7YT7ODVH5ZK \
| 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: 656c5578a5d6183be97fc4fee1d4fdca860b74b71b998f77c94c699c4873942d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b9b963cde195de67043d4f253c43290eb3ace020d3249dada1b75193f9052628",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-06-08T02:57:00Z",
"title_canon_sha256": "c81d3939015ed3b8197ebf8255aa7983b7bca16cc0a5352961e175940411ce60"
},
"schema_version": "1.0",
"source": {
"id": "1606.02382",
"kind": "arxiv",
"version": 1
}
}