Pith Number
pith:L7XBXTLL
pith:2025:L7XBXTLLQB4DCJFQEAENBKH5H2
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Comparison of generalised additive models and neural networks in applications: A systematic review
arxiv:2510.24601 v2 · 2025-10-28 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L7XBXTLLQB4DCJFQEAENBKH5H2}
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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 | 2026-06-25T01:17:47.311044Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5fee1bcd6b80783124b02008d0a8fd3ebde4e14d341ec9ceb9530cc734092f16
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L7XBXTLLQB4DCJFQEAENBKH5H2 \
| 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: 5fee1bcd6b80783124b02008d0a8fd3ebde4e14d341ec9ceb9530cc734092f16
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d62ae07f6505ddb45565474ce08c8f78f6f611f95ce8e92a39cd46314ab2a50f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2025-10-28T16:28:42Z",
"title_canon_sha256": "e958df59ad9a7d76f2b3487c665c0fd4845e433797617e881af9f6f853326582"
},
"schema_version": "1.0",
"source": {
"id": "2510.24601",
"kind": "arxiv",
"version": 2
}
}