Pith Number
pith:MPOYTQIQ
pith:2025:MPOYTQIQK5SNNRRC6XAIB7YXI7
not attested
not anchored
not stored
refs pending
Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
arxiv:2503.18066 v1 · 2025-03-23 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MPOYTQIQK5SNNRRC6XAIB7YXI7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:38:01.831500Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63dd89c1105764d6c622f5c080ff1747ebc1b932f6d10c06f85b46eed59de055
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MPOYTQIQK5SNNRRC6XAIB7YXI7 \
| 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: 63dd89c1105764d6c622f5c080ff1747ebc1b932f6d10c06f85b46eed59de055
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d50cde40124da19133bc94d5f3c27192e4195e705316c25f9170361d5baed01d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2025-03-23T13:21:53Z",
"title_canon_sha256": "f00e3d262d28736d4cea0bff78374bc2504c89a2204d6191e6fa21f9031619fb"
},
"schema_version": "1.0",
"source": {
"id": "2503.18066",
"kind": "arxiv",
"version": 1
}
}