Pith Number
pith:36MXCQY2
pith:2021:36MXCQY23DOU4JVN5UDRF2AGNB
not attested
not anchored
not stored
refs pending
Classification of Fermi-LAT blazars with Bayesian neural networks
arxiv:2112.01403 v2 · 2021-12-02 · astro-ph.HE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{36MXCQY23DOU4JVN5UDRF2AGNB}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:22:39.591071Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
df9971431ad8dd4e26aded0712e806685b748f49429b8683ed5f8032c9c96902
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/36MXCQY23DOU4JVN5UDRF2AGNB \
| 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: df9971431ad8dd4e26aded0712e806685b748f49429b8683ed5f8032c9c96902
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b6513807bd76e502b45c182d6dead05e11ea0e99404ddc25f4fca565bc1ee2ef",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "astro-ph.HE",
"submitted_at": "2021-12-02T16:47:29Z",
"title_canon_sha256": "f649b62d0a9ccde5484793f54d7770a51a5f63ff1f93b97b53def5e2bdf3dc05"
},
"schema_version": "1.0",
"source": {
"id": "2112.01403",
"kind": "arxiv",
"version": 2
}
}