Pith Number
pith:NHDWAIFF
pith:2019:NHDWAIFFO3VP4JQUE6YCBKLQI6
not attested
not anchored
not stored
refs pending
What do AI algorithms actually learn? - On false structures in deep learning
arxiv:1906.01478 v1 · 2019-06-04 · stat.ML · cs.CR · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NHDWAIFFO3VP4JQUE6YCBKLQI6}
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
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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 | 2026-05-17T23:44:16.438442Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
69c76020a576eafe261427b020a97047996a62a746d7d081959a939f4107a0de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NHDWAIFFO3VP4JQUE6YCBKLQI6 \
| 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: 69c76020a576eafe261427b020a97047996a62a746d7d081959a939f4107a0de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e394bb19a61a2fcff44b023d7260916bed0b7bb2245248aebf7dcccea9923441",
"cross_cats_sorted": [
"cs.CR",
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-06-04T14:35:32Z",
"title_canon_sha256": "0648b6a9bf05aef7d92f48f35ba403a5980db8194b1243037535cd950b6b416c"
},
"schema_version": "1.0",
"source": {
"id": "1906.01478",
"kind": "arxiv",
"version": 1
}
}