Pith Number
pith:MQKAOEUT
pith:2016:MQKAOEUTYDE4PPTPWDO2AF5IPW
not attested
not anchored
not stored
refs pending
Beyond unimodal regression: modelling multimodality with piecewise unimodal regression or deconvolution models
arxiv:1606.01666 v1 · 2016-06-06 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MQKAOEUTYDE4PPTPWDO2AF5IPW}
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
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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 | 2026-05-18T01:12:53.826426Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6414071293c0c9c7be6fb0dda017a87dad7eb51eb6c71d56f45319d067b094f2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MQKAOEUTYDE4PPTPWDO2AF5IPW \
| 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: 6414071293c0c9c7be6fb0dda017a87dad7eb51eb6c71d56f45319d067b094f2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a99fe24f322bf5a0304f17cb971763431448d306e47266a7fff283c0c30bbf96",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2016-06-06T09:18:05Z",
"title_canon_sha256": "12737223df5dbaae29ed6344801b0de7deef2ee0cade35d67f1897def1ae0c02"
},
"schema_version": "1.0",
"source": {
"id": "1606.01666",
"kind": "arxiv",
"version": 1
}
}