Pith Number
pith:GVDOJR7C
pith:2024:GVDOJR7CMQ7KJRHW46LEWCCBDV
not attested
not anchored
not stored
refs pending
Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact
arxiv:2409.10803 v3 · 2024-09-17 · cs.LG · cs.ET · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GVDOJR7CMQ7KJRHW46LEWCCBDV}
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 | 2026-07-05T11:26:43.974169Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3546e4c7e2643ea4c4f6e7964b08411d796959b050427ca716d9969c80e91c9e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GVDOJR7CMQ7KJRHW46LEWCCBDV \
| 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: 3546e4c7e2643ea4c4f6e7964b08411d796959b050427ca716d9969c80e91c9e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "35f185e93ed4194d972f2f26a179d32f9fe47eed14cc301af887178d3a1f28e9",
"cross_cats_sorted": [
"cs.ET",
"quant-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-09-17T00:44:49Z",
"title_canon_sha256": "09325e9dfc9a260bbf9c04f58403122e62f124a1af0dcb1a1c9087a032ca09ca"
},
"schema_version": "1.0",
"source": {
"id": "2409.10803",
"kind": "arxiv",
"version": 3
}
}