Pith Number
pith:PEOBPCUY
pith:2022:PEOBPCUY2D3PI7FRC26U5N2WLB
not attested
not anchored
not stored
refs pending
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning
arxiv:2209.05300 v1 · 2022-09-12 · cs.LG · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PEOBPCUY2D3PI7FRC26U5N2WLB}
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 | 2026-07-05T04:56:29.082569Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
791c178a98d0f6f47cb116bd4eb756585aacae75b14ad91cfe6d77e0ace3fc2e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PEOBPCUY2D3PI7FRC26U5N2WLB \
| 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: 791c178a98d0f6f47cb116bd4eb756585aacae75b14ad91cfe6d77e0ace3fc2e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "13ebcbbb5fe32e453e3047d7e5dcdfc05aea0d90aee0b1a37da7d14a00e853f8",
"cross_cats_sorted": [
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-09-12T15:05:57Z",
"title_canon_sha256": "bcb746b9f2a638338eacc6d20465d3c1342125cb569b91283d2ebec78e1ecadc"
},
"schema_version": "1.0",
"source": {
"id": "2209.05300",
"kind": "arxiv",
"version": 1
}
}