Pith Number
pith:QCU27VHY
pith:2026:QCU27VHYB6KJQFQPAVF7LGSYXS
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Multi-Modal Semantic Segmentation of Electrolyzer Components for Sustainable Hydrogen Technologies: A Dual-Branch Deep Learning Approach
arxiv:2607.16056 v1 · 2026-07-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QCU27VHYB6KJQFQPAVF7LGSYXS}
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Record completeness
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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 | 2026-07-20T02:19:28.554328Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80a9afd4f80f9498160f054bf59a58bcac869ab70ba89059902f28f474611d43
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QCU27VHYB6KJQFQPAVF7LGSYXS \
| 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: 80a9afd4f80f9498160f054bf59a58bcac869ab70ba89059902f28f474611d43
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1fc0bd3f46600b556d1acf46040dd816017d896b3ce219883814a774d11f7b26",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-17T15:34:20Z",
"title_canon_sha256": "d9d0550a641a51f337a35dcbd86650cbbfda76c9170b5625f66239c08d11d70c"
},
"schema_version": "1.0",
"source": {
"id": "2607.16056",
"kind": "arxiv",
"version": 1
}
}