Pith Number
pith:5MNN3ESP
pith:2017:5MNN3ESPUBUZ7RMNTFRAQPY7ZU
not attested
not anchored
not stored
refs pending
Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes
arxiv:1711.04325 v1 · 2017-11-12 · cs.DC · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5MNN3ESPUBUZ7RMNTFRAQPY7ZU}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:30:39.406125Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eb1add924fa0699fc58d9962083f1fcd2dabc668e246f73ee7cebbccfe16132b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5MNN3ESPUBUZ7RMNTFRAQPY7ZU \
| 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: eb1add924fa0699fc58d9962083f1fcd2dabc668e246f73ee7cebbccfe16132b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6012d0608f9b15b571e762c223a652bff5846e181e177e390e6f3babfb629de8",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2017-11-12T17:36:46Z",
"title_canon_sha256": "d43e844c812acc66ef0e5a7b4f36929acb0bc4620e78d325733d7d67bba69109"
},
"schema_version": "1.0",
"source": {
"id": "1711.04325",
"kind": "arxiv",
"version": 1
}
}