Pith Number
pith:LZC2JMKD
pith:2019:LZC2JMKDV52U6M3XJ4H43GN6NM
not attested
not anchored
not stored
refs pending
Interpretable PID Parameter Tuning for Control Engineering using General Dynamic Neural Networks: An Extensive Comparison
arxiv:1905.13268 v3 · 2019-05-30 · cs.LG · cs.SY · eess.SY · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LZC2JMKDV52U6M3XJ4H43GN6NM}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-06-04T20:14:33.994923Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e45a4b143af754f33774f0fcd99be6b1a901700b1107f6a38d79c2d37bf62e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LZC2JMKDV52U6M3XJ4H43GN6NM \
| 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: 5e45a4b143af754f33774f0fcd99be6b1a901700b1107f6a38d79c2d37bf62e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "40f015ea9c89cd9c8d29f176a1ec8b4bc6a5dac975f62183119628dc5dfd4a01",
"cross_cats_sorted": [
"cs.SY",
"eess.SY",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-30T19:26:10Z",
"title_canon_sha256": "3ba1889ad12dfb73073e6d0ada1007dba10b015d323029275dd77b033ca427d5"
},
"schema_version": "1.0",
"source": {
"id": "1905.13268",
"kind": "arxiv",
"version": 3
}
}