Pith Number
pith:EIRXWJMA
pith:2018:EIRXWJMA7IHKSIA4GSQLXE7VLH
not attested
not anchored
not stored
refs pending
Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology
arxiv:1806.01681 v1 · 2018-05-01 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EIRXWJMA7IHKSIA4GSQLXE7VLH}
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
2
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 | 2026-05-18T00:14:12.056194Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
22237b2580fa0ea9201c34a0bb93f559d93a674ec416a9e78a14c1014328b42d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EIRXWJMA7IHKSIA4GSQLXE7VLH \
| 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: 22237b2580fa0ea9201c34a0bb93f559d93a674ec416a9e78a14c1014328b42d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "291b292065e90cfe5ce09c857b921888bb1dd311254b1fc0fc11947a5e554b10",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2018-05-01T13:09:13Z",
"title_canon_sha256": "d6083714d723f884850be2e1f64a42064a0320ca67e4b240d823b43503622581"
},
"schema_version": "1.0",
"source": {
"id": "1806.01681",
"kind": "arxiv",
"version": 1
}
}