Pith Number
pith:3NZRDKZW
pith:2022:3NZRDKZWKJY5WDILM3XQLQU66H
not attested
not anchored
not stored
refs pending
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
arxiv:2202.12183 v5 · 2022-02-24 · cs.LG · cs.AI · cs.IR · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3NZRDKZWKJY5WDILM3XQLQU66H}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:38:20.824276Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
db7311ab365271db0d0b66ef05c29ef1d1b4d35043a30ed5c3e0225772716fda
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3NZRDKZWKJY5WDILM3XQLQU66H \
| 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: db7311ab365271db0d0b66ef05c29ef1d1b4d35043a30ed5c3e0225772716fda
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "abb981a58874e8a5a8bfdc0e80a4389d1b8e6b8bef6e1702498f8ef1975902d6",
"cross_cats_sorted": [
"cs.AI",
"cs.IR",
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-02-24T16:37:07Z",
"title_canon_sha256": "38dfbd69a168565bbe9f197fbe4fdef96446a47d941930c87a55e7953113489a"
},
"schema_version": "1.0",
"source": {
"id": "2202.12183",
"kind": "arxiv",
"version": 5
}
}