Pith Number
pith:KAMYQMFL
pith:2017:KAMYQMFL3H4R27Q4LOTB2AFXPQ
not attested
not anchored
not stored
refs pending
Predictive inference for locally stationary time series with an application to climate data
arxiv:1712.02383 v2 · 2017-12-06 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KAMYQMFL3H4R27Q4LOTB2AFXPQ}
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 | 2026-05-18T00:13:45.227350Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50198830abd9f91d7e1c5ba61d00b77c3db111f67710b056948e7e365ee052e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KAMYQMFL3H4R27Q4LOTB2AFXPQ \
| 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: 50198830abd9f91d7e1c5ba61d00b77c3db111f67710b056948e7e365ee052e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1d6df1e03834fde16c3760e3fdf28c029bffd489fc2b96f49be8cc172490b0e8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2017-12-06T19:32:18Z",
"title_canon_sha256": "75863ea19306d8ae4f2403a82b16055bacb54d0da29d246dd17d3174ab7dff39"
},
"schema_version": "1.0",
"source": {
"id": "1712.02383",
"kind": "arxiv",
"version": 2
}
}