Pith Number
pith:AAVPQNHD
pith:2019:AAVPQNHDD4CBGDUVJM63QFXQMJ
not attested
not anchored
not stored
refs pending
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
arxiv:1905.13195 v2 · 2019-05-30 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AAVPQNHDD4CBGDUVJM63QFXQMJ}
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 | 2026-07-05T00:15:05.751800Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
002af834e31f04130e954b3db816f06248bfeda55e01426cec1364e62c3a44fc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AAVPQNHDD4CBGDUVJM63QFXQMJ \
| 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: 002af834e31f04130e954b3db816f06248bfeda55e01426cec1364e62c3a44fc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9b74ae98dd3fe06f52c8c36983e6b28328d555e98113931e5aff3984139afcaf",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-05-30T17:36:19Z",
"title_canon_sha256": "8290947fe018cad1cafbb2f25fe84c44f451d7af6a3e53bf255ffe989d209b93"
},
"schema_version": "1.0",
"source": {
"id": "1905.13195",
"kind": "arxiv",
"version": 2
}
}