Pith Number
pith:ZKBBVHGU
pith:2017:ZKBBVHGURH5OKNV465NMK7GRRN
not attested
not anchored
not stored
refs pending
An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios
arxiv:1712.02877 v1 · 2017-12-07 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZKBBVHGURH5OKNV465NMK7GRRN}
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 | 2026-05-18T00:11:50.178920Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ca821a9cd489fae536bcf75ac57cd18b66687909dade7738651cefc3741055d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZKBBVHGURH5OKNV465NMK7GRRN \
| 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: ca821a9cd489fae536bcf75ac57cd18b66687909dade7738651cefc3741055d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d525381cdde64c062f6a940119d8c0c2f7aa7d3d4c9fefb55e618f2263de87c7",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2017-12-07T22:18:38Z",
"title_canon_sha256": "fb567c61fcf41ff82709d0a2a9c7f84764ab390486fcf9e63d18b2c43fe8e2f3"
},
"schema_version": "1.0",
"source": {
"id": "1712.02877",
"kind": "arxiv",
"version": 1
}
}