Pith Number
pith:6MMUDA5K
pith:2014:6MMUDA5K74AFLROBEMN7P6WWMF
not attested
not anchored
not stored
refs pending
On the Computational Efficiency of Training Neural Networks
arxiv:1410.1141 v2 · 2014-10-05 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6MMUDA5K74AFLROBEMN7P6WWMF}
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 | 2026-05-18T02:39:10.327990Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f3194183aaff0055c5c1231bf7fad6617429470372c0e23bc09be5e63daf590e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6MMUDA5K74AFLROBEMN7P6WWMF \
| 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: f3194183aaff0055c5c1231bf7fad6617429470372c0e23bc09be5e63daf590e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c193689a45c95bb4ac8b8e477c1f075a5b080fa91b18027ec16bd5179375eaef",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2014-10-05T10:54:07Z",
"title_canon_sha256": "6e3e94e4071d16272c38c5f9e00ac0e78015f07a24dde974691f632daebebe8c"
},
"schema_version": "1.0",
"source": {
"id": "1410.1141",
"kind": "arxiv",
"version": 2
}
}