Pith Number
pith:ZFCIXQUW
pith:2025:ZFCIXQUWZHRZRXKXYPANA2YFF6
not attested
not anchored
not stored
refs pending
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network
arxiv:2505.19423 v2 · 2025-05-26 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZFCIXQUWZHRZRXKXYPANA2YFF6}
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
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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 | 2026-07-05T11:11:46.609663Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c9448bc296c9e398dd57c3c0d06b052fb8d5ee6df295117bb5c1a88960c7c8eb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZFCIXQUWZHRZRXKXYPANA2YFF6 \
| 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: c9448bc296c9e398dd57c3c0d06b052fb8d5ee6df295117bb5c1a88960c7c8eb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a7b2dcaac7263b74f39451ab2af55e3264b5f5b07b25bfc0beb9bdae200bc818",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-26T02:25:17Z",
"title_canon_sha256": "bc84d4a4eb05584c66567f1bf02fef30e12b3e33637e519d285744f99e0d0e20"
},
"schema_version": "1.0",
"source": {
"id": "2505.19423",
"kind": "arxiv",
"version": 2
}
}