Pith Number
pith:PYYVJU2U
pith:2026:PYYVJU2U2XMDWB5NH72MKANLOL
not attested
not anchored
not stored
refs pending
Implicit Regularization of Mini-Batch Training in Graph Neural Networks
arxiv:2605.22480 v1 · 2026-05-21 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PYYVJU2U2XMDWB5NH72MKANLOL}
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 | 2026-05-22T01:04:46.823230Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7e3154d354d5d83b07ad3ff4c501ab72d08b51e86fc6c166e5612948b7ac7dd2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PYYVJU2U2XMDWB5NH72MKANLOL \
| 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: 7e3154d354d5d83b07ad3ff4c501ab72d08b51e86fc6c166e5612948b7ac7dd2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6536a9301f4b2595a709e24740d06766ac66a39622302d04d8874f3eaa535e7a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-21T13:39:03Z",
"title_canon_sha256": "86c593ed6171a2bb2d59d119c8cac903715ae63e4c575125ccac2b1ce82d4861"
},
"schema_version": "1.0",
"source": {
"id": "2605.22480",
"kind": "arxiv",
"version": 1
}
}