Pith Number
pith:AYZIANZY
pith:2020:AYZIANZYABE4C7Q47JK4CCIWWB
not attested
not anchored
not stored
refs pending
A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
arxiv:2010.08653 v4 · 2020-10-16 · hep-ex
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AYZIANZYABE4C7Q47JK4CCIWWB}
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 | 2026-07-05T02:41:06.483290Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
06328037380049c17e1cfa55c10916b050cb7783518f3cd794b1c2a47d230eec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AYZIANZYABE4C7Q47JK4CCIWWB \
| 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: 06328037380049c17e1cfa55c10916b050cb7783518f3cd794b1c2a47d230eec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a4c290e17166abb360f0d240dc7b548dded187343d54c45808438157e4826263",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "hep-ex",
"submitted_at": "2020-10-16T22:27:12Z",
"title_canon_sha256": "ed7fb3c8a442a012d67cbfa19f8fd3bc53adb6da0f660d3879c7821ed448a86c"
},
"schema_version": "1.0",
"source": {
"id": "2010.08653",
"kind": "arxiv",
"version": 4
}
}