Pith Number
pith:52JQJRXH
pith:2024:52JQJRXHPGLRNQVJAYCRHNBKAT
not attested
not anchored
not stored
refs pending
Introduction to Graph Neural Networks for Machine Learning Engineers
arxiv:2412.19419 v2 · 2024-12-27 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{52JQJRXHPGLRNQVJAYCRHNBKAT}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-06-02T03:04:31.709917Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee9304c6e7799716c2a9060513b42a04c2ceea45b63f3d420d812cefeb801a80
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/52JQJRXHPGLRNQVJAYCRHNBKAT \
| 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: ee9304c6e7799716c2a9060513b42a04c2ceea45b63f3d420d812cefeb801a80
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6a15e688ac4ec8514ab23a9114e704e5547ac996751156dc1798d0d71deae7bb",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-27T03:13:02Z",
"title_canon_sha256": "bd3a20b5f9e7368bd552b8f53cc3b7f575c976fa477ad067bed9700725779be7"
},
"schema_version": "1.0",
"source": {
"id": "2412.19419",
"kind": "arxiv",
"version": 2
}
}