Pith Number
pith:LIYBVJX6
pith:2017:LIYBVJX63M73YIL7GW7DPTIKTF
not attested
not anchored
not stored
refs pending
High-dimensional robust regression and outliers detection with SLOPE
arxiv:1712.02640 v1 · 2017-12-07 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LIYBVJX63M73YIL7GW7DPTIKTF}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:28:33.346937Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5a301aa6fedb3fbc217f35be37cd0a99467f0cb381ea640780fefe5bfa9529d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LIYBVJX63M73YIL7GW7DPTIKTF \
| 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: 5a301aa6fedb3fbc217f35be37cd0a99467f0cb381ea640780fefe5bfa9529d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "72332120433239158cd8e9174283315a3b4ed1faf3588f5b21b54ac036a8e599",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-12-07T14:25:02Z",
"title_canon_sha256": "c9609c3f576d6be28308727c0b674b5107b3073c96e1d72d42cfc9c4f66972c8"
},
"schema_version": "1.0",
"source": {
"id": "1712.02640",
"kind": "arxiv",
"version": 1
}
}