Pith Number
pith:7VKDWXPL
pith:2024:7VKDWXPLCDOM4U7R5BBI2PSN43
not attested
not anchored
not stored
refs pending
Nonlinear functional regression by functional deep neural network with kernel embedding
arxiv:2401.02890 v2 · 2024-01-05 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7VKDWXPLCDOM4U7R5BBI2PSN43}
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
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claim
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:01:22.897780Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd543b5deb10dcce53f1e8428d3e4de6c768bc1ac0a5c0cb0e73c6a54fdccefc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7VKDWXPLCDOM4U7R5BBI2PSN43 \
| 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: fd543b5deb10dcce53f1e8428d3e4de6c768bc1ac0a5c0cb0e73c6a54fdccefc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "62bd686e835d84a33aa3c8b12816e8774233a41db3d84fa9d4a60694430169a6",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-01-05T16:43:39Z",
"title_canon_sha256": "a5a8b3d778c23d4b90648f3e87740807727825a2cbcb08d215eecb72a54321c4"
},
"schema_version": "1.0",
"source": {
"id": "2401.02890",
"kind": "arxiv",
"version": 2
}
}