Pith Number
pith:B5RLTXTF
pith:2022:B5RLTXTFMSYJRMA4IEFYRPF4WF
not attested
not anchored
not stored
refs pending
The performance of the MAGIC telescopes using deep convolutional neural networks with CTLearn
arxiv:2211.16009 v1 · 2022-11-29 · astro-ph.IM · astro-ph.HE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B5RLTXTFMSYJRMA4IEFYRPF4WF}
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 | 2026-07-05T05:20:20.885536Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f62b9de6564b098b01c410b88bcbcb1744185bf20ad2b8cf0e7f495552898c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5RLTXTFMSYJRMA4IEFYRPF4WF \
| 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: 0f62b9de6564b098b01c410b88bcbcb1744185bf20ad2b8cf0e7f495552898c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "95d7aae51e2d7e8cec6f213419e7fca99f2c172335f8772b93193c8734b92abf",
"cross_cats_sorted": [
"astro-ph.HE"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "astro-ph.IM",
"submitted_at": "2022-11-29T08:15:32Z",
"title_canon_sha256": "6c41371876eac3735519950270f95cb5c539dfe08ebdab3eb19d33d327c1aee2"
},
"schema_version": "1.0",
"source": {
"id": "2211.16009",
"kind": "arxiv",
"version": 1
}
}