Pith Number
pith:B4GYWMVP
pith:2022:B4GYWMVPKGCWM7HK4MOEYXBEW7
not attested
not anchored
not stored
refs pending
An Empirical Quantile Estimation Approach to Nonlinear Optimization Problems with Chance Constraints
arxiv:2211.00675 v5 · 2022-11-01 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B4GYWMVPKGCWM7HK4MOEYXBEW7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:20:36.173202Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f0d8b32af5185667ceae31c4c5c24b7d0b6875ae86277cc65fc9e5a0a9bf824
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B4GYWMVPKGCWM7HK4MOEYXBEW7 \
| 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: 0f0d8b32af5185667ceae31c4c5c24b7d0b6875ae86277cc65fc9e5a0a9bf824
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b6771d90ea19a51e371f0d4eb5d5cf6708aab88e08808668bbcae287d7387d61",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2022-11-01T18:04:28Z",
"title_canon_sha256": "3e3eeb00ce38393c6acc996dc6065ca3e6d5054fa01ae49bc733d21457d919e2"
},
"schema_version": "1.0",
"source": {
"id": "2211.00675",
"kind": "arxiv",
"version": 5
}
}