Pith Number
pith:EMA6PWH3
pith:2019:EMA6PWH3JB5MSXE7UV77B77PRB
not attested
not anchored
not stored
refs pending
Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels
arxiv:1902.03419 v1 · 2019-02-09 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EMA6PWH3JB5MSXE7UV77B77PRB}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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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 | 2026-05-17T23:54:20.907939Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2301e7d8fb487ac95c9fa57ff0ffef885b921f96784677d1b4a3438c8db6b82a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EMA6PWH3JB5MSXE7UV77B77PRB \
| 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: 2301e7d8fb487ac95c9fa57ff0ffef885b921f96784677d1b4a3438c8db6b82a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b11c9fd1d67048f4ac4b3fc11435909076d33e377e1cf927429085ef7909df4e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2019-02-09T12:39:16Z",
"title_canon_sha256": "a3a7d60c3bc6af229585ad72b26c25aa29f7deb31aeed99c25a2c70d637b6da7"
},
"schema_version": "1.0",
"source": {
"id": "1902.03419",
"kind": "arxiv",
"version": 1
}
}