Pith Number
pith:TTIGDOUB
pith:2019:TTIGDOUB244LRWBWASO2NFA7AD
not attested
not anchored
not stored
refs pending
Machine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent
arxiv:1905.10986 v1 · 2019-05-27 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TTIGDOUB244LRWBWASO2NFA7AD}
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 | 2026-05-17T23:45:03.220098Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9cd061ba81d738b8d836049da6941f00db6c9302a71c9ab9c2fd30c7a60ed530
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TTIGDOUB244LRWBWASO2NFA7AD \
| 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: 9cd061ba81d738b8d836049da6941f00db6c9302a71c9ab9c2fd30c7a60ed530
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0831eee27717ed961bd8fbf0e033f8f86a1e4435affb09e40c04be27cd3113c1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2019-05-27T06:07:41Z",
"title_canon_sha256": "91526576760adb0d04ff921982cbe205ab0c33631b0dbef628d1a677fd823e9b"
},
"schema_version": "1.0",
"source": {
"id": "1905.10986",
"kind": "arxiv",
"version": 1
}
}