Pith Number
pith:MMSM7SQX
pith:2017:MMSM7SQXLYFPHHR55LFC7NOKVL
not attested
not anchored
not stored
refs pending
Approximating meta-heuristics with homotopic recurrent neural networks
arxiv:1709.02194 v1 · 2017-09-07 · stat.ML · cs.DM · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MMSM7SQXLYFPHHR55LFC7NOKVL}
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 | 2026-05-18T00:35:49.909795Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6324cfca175e0af39e3deaca2fb5caaac49648d45c10f557aefe6d62636b7838
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MMSM7SQXLYFPHHR55LFC7NOKVL \
| 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: 6324cfca175e0af39e3deaca2fb5caaac49648d45c10f557aefe6d62636b7838
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0ae78bad2c5cd3b391883fe8d5c69fa11bdaeb466992c5173c41e98cd72828b7",
"cross_cats_sorted": [
"cs.DM",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-09-07T11:54:36Z",
"title_canon_sha256": "ee1fe01948c4fd61f59f17cb13101a3680a66a82131bb6c29848d86a825ae5bb"
},
"schema_version": "1.0",
"source": {
"id": "1709.02194",
"kind": "arxiv",
"version": 1
}
}