Pith Number
pith:EXA7RSNM
pith:2026:EXA7RSNMKXCFSGMK7AKK654RMA
not attested
not anchored
not stored
refs pending
Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad
arxiv:2605.18694 v1 · 2026-05-18 · math.OC · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EXA7RSNMKXCFSGMK7AKK654RMA}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-20T00:06:15.419472Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
25c1f8c9ac55c459198af814af7791602fcfe8d8feb89e7dc6b46f4a46c7cfe5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EXA7RSNMKXCFSGMK7AKK654RMA \
| 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: 25c1f8c9ac55c459198af814af7791602fcfe8d8feb89e7dc6b46f4a46c7cfe5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9d11a8679fb220d64409b8c6390d03e4fb52b64b002dfbe5759cd879e9188753",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2026-05-18T17:30:15Z",
"title_canon_sha256": "852e2397aad318b10a1b88e86207caf685195447248fc7e88593e68e5d6d3571"
},
"schema_version": "1.0",
"source": {
"id": "2605.18694",
"kind": "arxiv",
"version": 1
}
}