Pith Number
pith:RWZSLLY3
pith:2016:RWZSLLY354OABOK5IKFWQR64IC
not attested
not anchored
not stored
refs pending
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
arxiv:1609.03683 v2 · 2016-09-13 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RWZSLLY354OABOK5IKFWQR64IC}
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 | 2026-05-18T00:48:09.613191Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8db325af1bef1c00b95d428b6847dc40aac545e02cd70c787de632e97724d3bd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RWZSLLY354OABOK5IKFWQR64IC \
| 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: 8db325af1bef1c00b95d428b6847dc40aac545e02cd70c787de632e97724d3bd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "921a251d6ca82b7eab5dba89a7f2016c8e3f11c5cedddfd3d40f702647fd53d9",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-09-13T05:23:29Z",
"title_canon_sha256": "65d866d3806280cb9832257fae078c742d70bf320ae2359ce2cbe12c124e3079"
},
"schema_version": "1.0",
"source": {
"id": "1609.03683",
"kind": "arxiv",
"version": 2
}
}