Pith Number
pith:JPOJZISK
pith:2018:JPOJZISKFUCXW2YCC3UNRWT7CO
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refs pending
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image
arxiv:1811.11729 v1 · 2018-11-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JPOJZISKFUCXW2YCC3UNRWT7CO}
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 | 2026-05-17T23:59:40.152274Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4bdc9ca24a2d057b6b0216e8d8da7f13a9ad06284843bf63560fd14e6b7de600
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JPOJZISKFUCXW2YCC3UNRWT7CO \
| 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: 4bdc9ca24a2d057b6b0216e8d8da7f13a9ad06284843bf63560fd14e6b7de600
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "37fd12fc029e7cc52fa8d9f481f228ef5029e4a8efb5bc06f1854298b78f5e3f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-11-28T18:30:37Z",
"title_canon_sha256": "60af435cf0a17509825f4da4e454c9beda1fb8b39ed41f17b1c0e44c47baf6fe"
},
"schema_version": "1.0",
"source": {
"id": "1811.11729",
"kind": "arxiv",
"version": 1
}
}