Pith Number
pith:P57JYR4V
pith:2026:P57JYR4V6NBHQ5N4SCUEJK6KHH
not attested
not anchored
not stored
refs pending
Hinge Regression Trees and HRT-Boost: Newton-Optimized Oblique Learning for Compact Tabular Models
arxiv:2605.23422 v1 · 2026-05-22 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P57JYR4V6NBHQ5N4SCUEJK6KHH}
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 | 2026-05-25T02:01:53.631136Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f7e9c4795f3427875bc90a844abca39dd3508fc4dba8c8a972c343957bf956e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P57JYR4V6NBHQ5N4SCUEJK6KHH \
| 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: 7f7e9c4795f3427875bc90a844abca39dd3508fc4dba8c8a972c343957bf956e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1cfdebbe60e72f90f9c5693803ae88e68d3ae8a01a1a3a05cdde0081dbcc5526",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-22T09:33:20Z",
"title_canon_sha256": "ba6f895bdb240e774c787e2844c2f206c8d96d8108fabd6beb066ea152f9197e"
},
"schema_version": "1.0",
"source": {
"id": "2605.23422",
"kind": "arxiv",
"version": 1
}
}