Pith Number
pith:FPCY3VF5
pith:2018:FPCY3VF5Y7NYAJCRSW2M2VQJIX
not attested
not anchored
not stored
refs pending
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
arxiv:1802.05300 v4 · 2018-02-14 · cs.LG · cs.CL · cs.CV · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FPCY3VF5Y7NYAJCRSW2M2VQJIX}
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 | 2026-05-17T23:55:21.238906Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2bc58dd4bdc7db80245195b4cd560945c65068327cd1d8be78a5aac2e88e22f1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FPCY3VF5Y7NYAJCRSW2M2VQJIX \
| 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: 2bc58dd4bdc7db80245195b4cd560945c65068327cd1d8be78a5aac2e88e22f1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2e98216d3ffb5d38e228f4919edd056d1e3e8ca2fa24759952baa624b930f06f",
"cross_cats_sorted": [
"cs.CL",
"cs.CV",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-02-14T19:48:50Z",
"title_canon_sha256": "1c3d480747d48ea0341fc01bead52e48d4a4075689302a6484c7089becfb5251"
},
"schema_version": "1.0",
"source": {
"id": "1802.05300",
"kind": "arxiv",
"version": 4
}
}