Pith Number
pith:DYN7U4MZ
pith:2023:DYN7U4MZUJWKAKEQI7NZIP445F
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Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
arxiv:2304.00320 v1 · 2023-04-01 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DYN7U4MZUJWKAKEQI7NZIP445F}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-07-05T05:57:01.101216Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1e1bfa7199a26ca0289047db943f9ce9789685ac127a36d8d16d358a760cb736
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DYN7U4MZUJWKAKEQI7NZIP445F \
| 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: 1e1bfa7199a26ca0289047db943f9ce9789685ac127a36d8d16d358a760cb736
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1f1be55e7c5427e54dbaaf9aacd2b8aa169e876664e1f51a40894e7d850a3cf9",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-04-01T14:09:07Z",
"title_canon_sha256": "fc32860834c0fdfd4ff7a7a677dc7740e6469d8d492889b3a1542a78449194a4"
},
"schema_version": "1.0",
"source": {
"id": "2304.00320",
"kind": "arxiv",
"version": 1
}
}