Pith Number
pith:M6NOBWIY
pith:2025:M6NOBWIYVOIJFT5QYYH3DSDXVH
not attested
not anchored
not stored
refs pending
Quantum-Evolutionary Neural Networks for Multi-Agent Federated Learning
arxiv:2505.15836 v1 · 2025-05-16 · cs.NE · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M6NOBWIYVOIJFT5QYYH3DSDXVH}
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 | 2026-07-05T11:07:26.008806Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
679ae0d918ab9092cfb0c60fb1c877a9fff124fc4e29e79dc7efa66647522a6b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M6NOBWIYVOIJFT5QYYH3DSDXVH \
| 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: 679ae0d918ab9092cfb0c60fb1c877a9fff124fc4e29e79dc7efa66647522a6b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1752e5aea3da557d5f4a231735a2a5a00a7de5affd6d68b808d1d151f8a2b629",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2025-05-16T20:51:37Z",
"title_canon_sha256": "614396cba2e9be18a3145f1bc99d2e01d70f94f65a11136e1cd8511e3dec2a66"
},
"schema_version": "1.0",
"source": {
"id": "2505.15836",
"kind": "arxiv",
"version": 1
}
}