Pith Number
pith:KHAHQAFJ
pith:2023:KHAHQAFJSWMCBB63GPLXRTNNAA
not attested
not anchored
not stored
refs pending
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning
arxiv:2307.13127 v3 · 2023-07-24 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KHAHQAFJSWMCBB63GPLXRTNNAA}
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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 | 2026-06-24T00:14:19.740823Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
51c07800a995982087db33d778cdad0039ce7ae1c8b89ee1c8eb40a08a08db63
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KHAHQAFJSWMCBB63GPLXRTNNAA \
| 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: 51c07800a995982087db33d778cdad0039ce7ae1c8b89ee1c8eb40a08a08db63
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6bee10b28f6c528bfde09e6a1c2c5cca6385f47469331b26c250287a92ad7d7f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-07-24T21:03:25Z",
"title_canon_sha256": "ff5405f6f17465e8ac9faa7e4644bbaf42d5b7a30897a14249544ed5e82eb2ac"
},
"schema_version": "1.0",
"source": {
"id": "2307.13127",
"kind": "arxiv",
"version": 3
}
}