Pith Number
pith:AR5EM65C
pith:2019:AR5EM65C6YEH6MUL3FJSVVH57S
not attested
not anchored
not stored
refs pending
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy
arxiv:1908.08339 v1 · 2019-08-22 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AR5EM65C6YEH6MUL3FJSVVH57S}
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Record completeness
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Bitcoin timestamp
2
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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 | 2026-07-04T23:59:11.964761Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
047a467ba2f6087f328bd9532ad4fdfca5981d10366f70c2a31e104a9253917c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AR5EM65C6YEH6MUL3FJSVVH57S \
| 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: 047a467ba2f6087f328bd9532ad4fdfca5981d10366f70c2a31e104a9253917c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1122924dde44dfe4b4f118f1ace4314dbf7458a865e7b05baa9d220077a52595",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-08-22T12:39:37Z",
"title_canon_sha256": "5ec0a2fc5ebf19f7464a0c40d6ae1b3dfb1ce3ec7aeaa7d125723e0ba3d6c708"
},
"schema_version": "1.0",
"source": {
"id": "1908.08339",
"kind": "arxiv",
"version": 1
}
}