Pith Number
pith:DQUMTHGH
pith:2025:DQUMTHGH4U6JTXJYTYTJ7HON7Z
not attested
not anchored
not stored
refs pending
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior
arxiv:2505.18280 v1 · 2025-05-23 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DQUMTHGH4U6JTXJYTYTJ7HON7Z}
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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 | 2026-07-05T11:08:44.068849Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1c28c99cc7e53c99dd389e269f9dcdfe77d8390b219ccd2af479bf1b29a0ad68
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DQUMTHGH4U6JTXJYTYTJ7HON7Z \
| 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: 1c28c99cc7e53c99dd389e269f9dcdfe77d8390b219ccd2af479bf1b29a0ad68
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8acdd6f934cf0b16921764871b942d5ba318931237eaa9ac831ec896ceca0282",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-23T18:15:44Z",
"title_canon_sha256": "19f46b1925a2d6c24a385b507eeb96dba54b740c1f8beca3c19d4f4e55e51e02"
},
"schema_version": "1.0",
"source": {
"id": "2505.18280",
"kind": "arxiv",
"version": 1
}
}