Pith Number
pith:DLPZU2SK
pith:2026:DLPZU2SKZ7XN4GP4FLBLF7HVWI
not attested
not anchored
not stored
refs pending
Learning Nonlinear Factor Models with Unknown Monotone Links from Incomplete and Noisy Data
arxiv:2605.26271 v1 · 2026-05-25 · stat.ML · cs.LG · econ.EM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DLPZU2SKZ7XN4GP4FLBLF7HVWI}
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 | 2026-05-27T01:05:09.302507Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1adf9a6a4acfeede19fc2ac2b2fcf5b20eebb7c49bb89a75d7a8372f2f7a5a0f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DLPZU2SKZ7XN4GP4FLBLF7HVWI \
| 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: 1adf9a6a4acfeede19fc2ac2b2fcf5b20eebb7c49bb89a75d7a8372f2f7a5a0f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a9a6a8eca1261625b6f92d141da18b79d15bd8e206486474ac4cbd5a109a9186",
"cross_cats_sorted": [
"cs.LG",
"econ.EM"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-05-25T18:57:03Z",
"title_canon_sha256": "169fa752f3bf285de33b6ed0b1a3484129601a1a12cc5c507a1ec406493533ed"
},
"schema_version": "1.0",
"source": {
"id": "2605.26271",
"kind": "arxiv",
"version": 1
}
}