Pith Number
pith:XYH2YS4J
pith:2024:XYH2YS4J7BRY2C24GC2MIXVBHM
not attested
not anchored
not stored
refs pending
Chebyshev Feature Neural Network for Accurate Function Approximation
arxiv:2409.19135 v2 · 2024-09-27 · cs.LG · cs.NA · cs.NE · math.NA · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XYH2YS4J7BRY2C24GC2MIXVBHM}
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.
Receipt and verification
| First computed | 2026-07-05T09:53:05.314754Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be0fac4b89f8638d0b5c30b4c45ea13b3122ae53ed318dccf68fc7d3a352cb91
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XYH2YS4J7BRY2C24GC2MIXVBHM \
| 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: be0fac4b89f8638d0b5c30b4c45ea13b3122ae53ed318dccf68fc7d3a352cb91
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "250a05b7ea0c5bc42374d61728abbd25657a6208a81e0870c1d80b19a59c2659",
"cross_cats_sorted": [
"cs.NA",
"cs.NE",
"math.NA",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-09-27T20:41:17Z",
"title_canon_sha256": "fa0f0d0a21775ab6e98fea43ee33bbe5d521f98930532fa3011cdc2acc4cae76"
},
"schema_version": "1.0",
"source": {
"id": "2409.19135",
"kind": "arxiv",
"version": 2
}
}