Pith Number
pith:3QSQNF6W
pith:2024:3QSQNF6WPSDPM4A2J4WDJYCIUZ
not attested
not anchored
not stored
refs pending
Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory
arxiv:2404.15829 v1 · 2024-04-24 · physics.acc-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3QSQNF6WPSDPM4A2J4WDJYCIUZ}
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 | 2026-07-05T08:11:46.136278Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dc250697d67c86f6701a4f2c34e048a658ae56a221286c8b8dfa3743f4ebca51
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3QSQNF6WPSDPM4A2J4WDJYCIUZ \
| 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: dc250697d67c86f6701a4f2c34e048a658ae56a221286c8b8dfa3743f4ebca51
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "85097e0ff207c110ffd388c4c7d11cf198481e970adc6206f115d728b98f43ff",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "physics.acc-ph",
"submitted_at": "2024-04-24T12:05:20Z",
"title_canon_sha256": "243010faabd093193a0fc2e8f7ba7b9f5cda0456c91113dc0759adb6021d661a"
},
"schema_version": "1.0",
"source": {
"id": "2404.15829",
"kind": "arxiv",
"version": 1
}
}