Pith Number
pith:OABX7AES
pith:2019:OABX7AESMW26YRYJWZ7K4TH3HP
not attested
not anchored
not stored
refs pending
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
arxiv:1911.09781 v3 · 2019-11-21 · cs.LG · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OABX7AESMW26YRYJWZ7K4TH3HP}
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.
Receipt and verification
| First computed | 2026-07-05T01:30:49.622289Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
70037f809265b5ec4709b67eae4cfb3bf7f2a1026a1a1003e4bb912f637600da
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OABX7AESMW26YRYJWZ7K4TH3HP \
| 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: 70037f809265b5ec4709b67eae4cfb3bf7f2a1026a1a1003e4bb912f637600da
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "332354d7eee856ba1f7b130b47487e95e437ab5eabc94616d65c8803e5c4c348",
"cross_cats_sorted": [
"cs.CV",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-11-21T23:05:28Z",
"title_canon_sha256": "bc239e2f349ee1291c36381128e6b2ce615b0dc8488d6a932280b0420757babb"
},
"schema_version": "1.0",
"source": {
"id": "1911.09781",
"kind": "arxiv",
"version": 3
}
}