Pith Number
pith:NPGONRZB
pith:2020:NPGONRZBX2F4U5RA2VUBZMEBFJ
not attested
not anchored
not stored
refs pending
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
arxiv:2012.07690 v1 · 2020-12-14 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NPGONRZBX2F4U5RA2VUBZMEBFJ}
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 | 2026-07-05T01:59:23.219927Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6bcce6c721be8bca7620d5681cb0812a72582d86e0f8b42b4727d63da93aa415
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NPGONRZBX2F4U5RA2VUBZMEBFJ \
| 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: 6bcce6c721be8bca7620d5681cb0812a72582d86e0f8b42b4727d63da93aa415
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f715918ced693f253164a67264769b5fe56db6320578efb88702d5f1f813b5ae",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-12-14T16:41:23Z",
"title_canon_sha256": "71adcf88924982f042318ba6e964a6c613488ef65f021472a0070b179135aac1"
},
"schema_version": "1.0",
"source": {
"id": "2012.07690",
"kind": "arxiv",
"version": 1
}
}