Pith Number
pith:4PVOPSJW
pith:2025:4PVOPSJWZMJY7CNGM4VU6F3CY2
not attested
not anchored
not stored
refs pending
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
arxiv:2504.18082 v1 · 2025-04-25 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4PVOPSJWZMJY7CNGM4VU6F3CY2}
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
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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 | 2026-07-05T10:54:01.324524Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3eae7c936cb138f89a6672b4f1762c6ac68b9131c2d4d4f8a071d0aa760794b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4PVOPSJWZMJY7CNGM4VU6F3CY2 \
| 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: e3eae7c936cb138f89a6672b4f1762c6ac68b9131c2d4d4f8a071d0aa760794b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bfd75371c27548762990fc97f82491dbb01e9c03a52b16225ec46eb963bae723",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-25T05:16:53Z",
"title_canon_sha256": "abbe12ed705cb644fb7577040a4a5e0611069268ce333756d9c9923f659a9099"
},
"schema_version": "1.0",
"source": {
"id": "2504.18082",
"kind": "arxiv",
"version": 1
}
}