Pith Number
pith:KELD2QIC
pith:2023:KELD2QICRPGU55QLB7QKKFODSY
not attested
not anchored
not stored
refs pending
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
arxiv:2307.02367 v1 · 2023-07-05 · cs.LG · physics.acc-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KELD2QICRPGU55QLB7QKKFODSY}
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 | 2026-07-05T06:28:08.085947Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
51163d41028bcd4ef60b0fe0a515c3961952f08958c9cb916aa07a089e1459c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KELD2QICRPGU55QLB7QKKFODSY \
| 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: 51163d41028bcd4ef60b0fe0a515c3961952f08958c9cb916aa07a089e1459c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9f569e8069e257d8a15525ca3b0af3fae368f45d6290d2fdff6ca01c0d5ea71a",
"cross_cats_sorted": [
"physics.acc-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-07-05T15:32:39Z",
"title_canon_sha256": "1c7787a543243b6a90a4f23dbeed90b3ccbb9df96b8a1dde616cf5647c07c2c2"
},
"schema_version": "1.0",
"source": {
"id": "2307.02367",
"kind": "arxiv",
"version": 1
}
}