Pith Number
pith:N33KZSKH
pith:2016:N33KZSKHTCHZVTTICAS2QPWVJG
not attested
not anchored
not stored
refs pending
First Steps Toward Incorporating Image Based Diagnostics Into Particle Accelerator Control Systems Using Convolutional Neural Networks
arxiv:1612.05662 v1 · 2016-12-16 · physics.acc-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N33KZSKHTCHZVTTICAS2QPWVJG}
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
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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 | 2026-05-18T00:54:46.999880Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ef6acc947988f9ace681025a83ed549a37d4cf058c7cac55230ea0a2a1076d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N33KZSKHTCHZVTTICAS2QPWVJG \
| 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: 6ef6acc947988f9ace681025a83ed549a37d4cf058c7cac55230ea0a2a1076d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eb270cefd3da1e78cc5a2a5640366596cd61ddd887c23e8d229dd334f020c0d8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.acc-ph",
"submitted_at": "2016-12-16T21:36:27Z",
"title_canon_sha256": "e84dab97e3834f7914c8a4cbbcc30994ac65f5c4f485ee8799cdc8364d4c3b9e"
},
"schema_version": "1.0",
"source": {
"id": "1612.05662",
"kind": "arxiv",
"version": 1
}
}