Pith Number
pith:H4AGAXGA
pith:2021:H4AGAXGAY5GDNH7OWIMLKPFKPF
not attested
not anchored
not stored
refs pending
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
arxiv:2106.04714 v1 · 2021-06-08 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H4AGAXGAY5GDNH7OWIMLKPFKPF}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:47:48.315263Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3f00605cc0c74c369feeb218b53caa795e6fd0bfc3beeb539de9f05bb7c86ae2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H4AGAXGAY5GDNH7OWIMLKPFKPF \
| 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: 3f00605cc0c74c369feeb218b53caa795e6fd0bfc3beeb539de9f05bb7c86ae2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "73e5890b2fb5e261dc5acda418e00a46687ba991c6c1f4d0dda5720fba387379",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-08T22:12:44Z",
"title_canon_sha256": "0a7c0d8bdd1b191766430e74fbd21089f796e29ad925c64fd7016062562f55e6"
},
"schema_version": "1.0",
"source": {
"id": "2106.04714",
"kind": "arxiv",
"version": 1
}
}