Pith Number
pith:4ZBZL5TZ
pith:2024:4ZBZL5TZ7POB2VWQKEDZMRTSFV
not attested
not anchored
not stored
refs pending
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression
arxiv:2406.18137 v1 · 2024-06-26 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4ZBZL5TZ7POB2VWQKEDZMRTSFV}
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 | 2026-07-05T08:36:55.745490Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e64395f679fbdc1d56d051079646722d68af34c5a1c34a6ad5731e98bb5069c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4ZBZL5TZ7POB2VWQKEDZMRTSFV \
| 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: e64395f679fbdc1d56d051079646722d68af34c5a1c34a6ad5731e98bb5069c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33992c0325c598ad992aebc0078e9dd05b3fb80f4681ac9ccbfad057e4540140",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-06-26T07:41:41Z",
"title_canon_sha256": "0c64dda56cd22af45e4e426adda4bb6b314e37846207d422c7aa64d5b2a33f8f"
},
"schema_version": "1.0",
"source": {
"id": "2406.18137",
"kind": "arxiv",
"version": 1
}
}