Pith Number
pith:VEHMXFAH
pith:2026:VEHMXFAHMK5DCY6RGMIDNI4S4O
not attested
not anchored
not stored
refs pending
Deep Neural Network Training as Random Effects: An Optimization-Inference Duality
arxiv:2605.27991 v1 · 2026-05-27 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VEHMXFAHMK5DCY6RGMIDNI4S4O}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-28T01:04:55.422728Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a90ecb940762ba3163d1331036a392e382e5ec5bf8919ccc07536b4623362826
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VEHMXFAHMK5DCY6RGMIDNI4S4O \
| 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: a90ecb940762ba3163d1331036a392e382e5ec5bf8919ccc07536b4623362826
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a36b2a08c2bb3df86e52c61a8b89f1a460b59da57857cd5ed56c630e9d0f2265",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-05-27T05:32:24Z",
"title_canon_sha256": "0855c97187bbd586933820a37dac95bf976751eec5e222d18a82ecd528e8e96d"
},
"schema_version": "1.0",
"source": {
"id": "2605.27991",
"kind": "arxiv",
"version": 1
}
}