Pith Number
pith:R3TCHH3J
pith:2024:R3TCHH3JA3VVFS23PL4A7S4NNW
not attested
not anchored
not stored
refs pending
An Analytic Solution to Covariance Propagation in Neural Networks
arxiv:2403.16163 v1 · 2024-03-24 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{R3TCHH3JA3VVFS23PL4A7S4NNW}
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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 | 2026-07-05T08:00:11.384583Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8ee6239f6906eb52cb5b7af80fcb8d6d9c96bad3e942e312efa9cc2b48a3ecc7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/R3TCHH3JA3VVFS23PL4A7S4NNW \
| 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: 8ee6239f6906eb52cb5b7af80fcb8d6d9c96bad3e942e312efa9cc2b48a3ecc7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02a8c011d3705dc6abe1574a71f43bac01895d46a095e3a67cec30a63e01a6fb",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-03-24T14:08:24Z",
"title_canon_sha256": "033ac5cea47dd5568254386549e21ebf1dddeb5e4a9f24aec45e67509b4ae5a4"
},
"schema_version": "1.0",
"source": {
"id": "2403.16163",
"kind": "arxiv",
"version": 1
}
}