Pith Number
pith:PT2Z7OOQ
pith:2020:PT2Z7OOQYQ3C4VZDZZHLRDGB7K
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Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
arxiv:2011.06220 v3 · 2020-11-12 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PT2Z7OOQYQ3C4VZDZZHLRDGB7K}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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4
Citations
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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 | 2026-07-05T02:38:52.051046Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7cf59fb9d0c4362e5723ce4eb88cc1faa050ed05a3025ea36a4807e752216b09
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PT2Z7OOQYQ3C4VZDZZHLRDGB7K \
| 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: 7cf59fb9d0c4362e5723ce4eb88cc1faa050ed05a3025ea36a4807e752216b09
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9933fbf5d91f392dd81e372fe8cf9d3cfec976ebe3efadac4c10b85fab91129c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-11-12T06:06:33Z",
"title_canon_sha256": "6dbb393e16c15472cb39483d6811468ce0e54b2234b1e780db853fac8475edf9"
},
"schema_version": "1.0",
"source": {
"id": "2011.06220",
"kind": "arxiv",
"version": 3
}
}