Pith Number
pith:LCMH4IDV
pith:2018:LCMH4IDVBIFEOTOQAWYK2H5MKM
not attested
not anchored
not stored
refs pending
Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering
arxiv:1809.06009 v1 · 2018-09-17 · cs.LG · math.NA · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LCMH4IDVBIFEOTOQAWYK2H5MKM}
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
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 | 2026-05-18T00:05:35.870987Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58987e20750a0a474dd005b0ad1fac533c6726438ff5ad734fd08b2f10bb8b49
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LCMH4IDVBIFEOTOQAWYK2H5MKM \
| 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: 58987e20750a0a474dd005b0ad1fac533c6726438ff5ad734fd08b2f10bb8b49
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "552ca09b278cfb92c4c77ed0d544fd99dd051e045bb5e0e22fdb87ed8cc1125d",
"cross_cats_sorted": [
"math.NA",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-09-17T03:30:58Z",
"title_canon_sha256": "eb893867ede7a0de59a80a55783a20317fdff57abaf9fefe861585542a033d5c"
},
"schema_version": "1.0",
"source": {
"id": "1809.06009",
"kind": "arxiv",
"version": 1
}
}