Pith Number
pith:5QKE4UZT
pith:2018:5QKE4UZTXK6HKOB3V6EK57ABBD
not attested
not anchored
not stored
refs pending
Building robust prediction models for defective sensor data using Artificial Neural Networks
arxiv:1804.05544 v1 · 2018-04-16 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5QKE4UZTXK6HKOB3V6EK57ABBD}
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 | 2026-05-18T00:18:27.895729Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ec144e5333babc75383baf88aefc0108dc4ea2ed8ac5d0219115dd164f347987
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5QKE4UZTXK6HKOB3V6EK57ABBD \
| 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: ec144e5333babc75383baf88aefc0108dc4ea2ed8ac5d0219115dd164f347987
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc503a73183819e8546fb59033ea82a9cd66cd19ffa500cd54ad53ca9fb5db69",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-04-16T08:25:02Z",
"title_canon_sha256": "a33ee5fbd554f02781807487cdd6b52d2974e927630e7afd9ea49543e27866a2"
},
"schema_version": "1.0",
"source": {
"id": "1804.05544",
"kind": "arxiv",
"version": 1
}
}