Pith Number
pith:GGW5B6BN
pith:2017:GGW5B6BNDTOXCCJX6PNCNE5SA5
not attested
not anchored
not stored
refs pending
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning
arxiv:1706.10207 v1 · 2017-06-30 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GGW5B6BNDTOXCCJX6PNCNE5SA5}
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
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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 | 2026-05-18T00:41:09.140072Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
31add0f82d1cdd710937f3da2693b2076de811aa593108aa801f04722c282533
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GGW5B6BNDTOXCCJX6PNCNE5SA5 \
| 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: 31add0f82d1cdd710937f3da2693b2076de811aa593108aa801f04722c282533
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c4e9ad89add5451ce3d2ff38b58e4c257b9b4c24686dc38b28cd44c0a0f09d53",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-06-30T14:09:44Z",
"title_canon_sha256": "06c8900e72b365b6b415fcf47b492cf79e4c6799c9caeb67dda59bc15e69a9fd"
},
"schema_version": "1.0",
"source": {
"id": "1706.10207",
"kind": "arxiv",
"version": 1
}
}