Pith Number
pith:FHM2JFQN
pith:2022:FHM2JFQN3HNJYTUR4KWK6UPFMG
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Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
arxiv:2205.13687 v5 · 2022-05-27 · math.OC · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FHM2JFQN3HNJYTUR4KWK6UPFMG}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:15:40.390432Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
29d9a4960dd9da9c4e91e2acaf51e561b039d61478b2d20502b819f403604fd8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FHM2JFQN3HNJYTUR4KWK6UPFMG \
| 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: 29d9a4960dd9da9c4e91e2acaf51e561b039d61478b2d20502b819f403604fd8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "764e915030dbd913c14e6c0c505ce63f4453a3dafd020170caaf695b62e0d2ea",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.OC",
"submitted_at": "2022-05-27T00:34:03Z",
"title_canon_sha256": "29eb4f187c28a1a4287734550f6ac616c3ac81d500124ffa3f75e7ad95b26e59"
},
"schema_version": "1.0",
"source": {
"id": "2205.13687",
"kind": "arxiv",
"version": 5
}
}