Pith Number
pith:7RI3H6FU
pith:2018:7RI3H6FUTNOAWSAK2HO7MJK7TD
not attested
not anchored
not stored
refs pending
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning
arxiv:1812.10426 v3 · 2018-12-26 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7RI3H6FUTNOAWSAK2HO7MJK7TD}
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 | 2026-07-05T00:28:22.212804Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fc51b3f8b49b5c0b480ad1ddf6255f98f523501d9beb5484e7c183d858a92a80
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7RI3H6FUTNOAWSAK2HO7MJK7TD \
| 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: fc51b3f8b49b5c0b480ad1ddf6255f98f523501d9beb5484e7c183d858a92a80
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c7dd03ac22ade15e6c633f3b4dd3f77584faafda3676ae359d9d40865ff1c9d8",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-12-26T17:33:43Z",
"title_canon_sha256": "fe8213bd2381f6e348bea9b189190fd02a6d13a2d897b88224b2a93eca1d16c4"
},
"schema_version": "1.0",
"source": {
"id": "1812.10426",
"kind": "arxiv",
"version": 3
}
}