Pith Number
pith:BQWZ6XCY
pith:2025:BQWZ6XCYT25STFVH7MDX24QX35
not attested
not anchored
not stored
refs pending
Learning Nonlinearity of Boolean Functions: An Experimentation with Neural Networks
arxiv:2502.01060 v1 · 2025-02-03 · cs.LG · cs.AI · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BQWZ6XCYT25STFVH7MDX24QX35}
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
✓
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 | 2026-07-05T10:08:42.407648Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c2d9f5c589ebb2996a7fb077d7217df586d73cee0e5d5fbaf2301f9a883c2f3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BQWZ6XCYT25STFVH7MDX24QX35 \
| 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: 0c2d9f5c589ebb2996a7fb077d7217df586d73cee0e5d5fbaf2301f9a883c2f3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3ce7ae5b0cf21c15705ce422573cd8fe2a22900edda6785c8bf4fd7f627f8ba2",
"cross_cats_sorted": [
"cs.AI",
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-03T05:10:25Z",
"title_canon_sha256": "b632a87bcf3ae3deb927168b2c115250f4042d28d98a2a4b0600355375bfc143"
},
"schema_version": "1.0",
"source": {
"id": "2502.01060",
"kind": "arxiv",
"version": 1
}
}