Pith Number
pith:SSYOIGWI
pith:2026:SSYOIGWIJ6NA6ECJAZXYYEVVH7
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Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime
arxiv:2605.29684 v1 · 2026-05-28 · cs.LG · cond-mat.dis-nn · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SSYOIGWIJ6NA6ECJAZXYYEVVH7}
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Record completeness
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4
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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 | 2026-05-29T01:05:55.444242Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
94b0e41ac84f9a0f1049066f8c12b53ff1827b773e858916b03a193352c2b6c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SSYOIGWIJ6NA6ECJAZXYYEVVH7 \
| 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: 94b0e41ac84f9a0f1049066f8c12b53ff1827b773e858916b03a193352c2b6c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e71928a9035b26503c2495249854431b6f9ada005a80e90b004bda35827dced9",
"cross_cats_sorted": [
"cond-mat.dis-nn",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-28T09:49:54Z",
"title_canon_sha256": "11c329ec055449bb29976a6cbbef326210417d998aa2cfecdf3e5b626612fb3e"
},
"schema_version": "1.0",
"source": {
"id": "2605.29684",
"kind": "arxiv",
"version": 1
}
}