Pith Number
pith:ZKTXUE4Y
pith:2018:ZKTXUE4YIDKPFI5PT4G7Z6EZ6K
not attested
not anchored
not stored
refs pending
An Explicit Neural Network Construction for Piecewise Constant Function Approximation
arxiv:1808.07390 v1 · 2018-08-22 · math.NA · cs.LG · cs.NA · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZKTXUE4YIDKPFI5PT4G7Z6EZ6K}
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 | 2026-05-18T00:07:28.999861Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
caa77a139840d4f2a3af9f0dfcf899f29fc34b4d96c26b91c04f5d42f4e1ccbb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZKTXUE4YIDKPFI5PT4G7Z6EZ6K \
| 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: caa77a139840d4f2a3af9f0dfcf899f29fc34b4d96c26b91c04f5d42f4e1ccbb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "90cb3565fc2b1ed1f599b7c35721ea90e7e02f76d80199b28f4ba495e1eee5b3",
"cross_cats_sorted": [
"cs.LG",
"cs.NA",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2018-08-22T14:45:46Z",
"title_canon_sha256": "31b483cb7e72d9da5049a91ae3d9e892ddf296bf5829d9e0019ba65fb09a8499"
},
"schema_version": "1.0",
"source": {
"id": "1808.07390",
"kind": "arxiv",
"version": 1
}
}