Pith Number
pith:GMBWGGHR
pith:2020:GMBWGGHRCWE5VIO6AMVFGDCZKO
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not anchored
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refs pending
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
arxiv:2012.03061 v1 · 2020-12-05 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GMBWGGHRCWE5VIO6AMVFGDCZKO}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T01:57:25.381429Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33036318f11589daa1de032a530c5953830d05d7745192f49dca5511b0f91d46
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GMBWGGHRCWE5VIO6AMVFGDCZKO \
| 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: 33036318f11589daa1de032a530c5953830d05d7745192f49dca5511b0f91d46
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "108c056755cbbfa807a22920f84a0f4d99fc088482d270577b81ae56651ede2f",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-12-05T15:45:20Z",
"title_canon_sha256": "add72ffcd96969d1f38db58b80553a195345f4e02945e4afa82ea50b5c011560"
},
"schema_version": "1.0",
"source": {
"id": "2012.03061",
"kind": "arxiv",
"version": 1
}
}