Pith Number
pith:JMOY5CB4
pith:2023:JMOY5CB45A6YDYAX5KG3R6IEAL
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not anchored
not stored
refs pending
Theoretical Analysis of Inductive Biases in Deep Convolutional Networks
arxiv:2305.08404 v2 · 2023-05-15 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JMOY5CB45A6YDYAX5KG3R6IEAL}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:35:37.485949Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4b1d8e883ce83d81e017ea8db8f90402fa153d831f44b767b25985dc5e81dbb5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JMOY5CB45A6YDYAX5KG3R6IEAL \
| 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: 4b1d8e883ce83d81e017ea8db8f90402fa153d831f44b767b25985dc5e81dbb5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8f8ca920b8138ff0631229f19a1c7c72b8fb97dc3cc33172bded414a18628595",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-15T07:40:07Z",
"title_canon_sha256": "35874273e99bf7826e3bea0c3ae76130178f74ebdcc671718de1e062933bc722"
},
"schema_version": "1.0",
"source": {
"id": "2305.08404",
"kind": "arxiv",
"version": 2
}
}