Pith Number
pith:D4ZCD7TY
pith:2022:D4ZCD7TYK6ELCXXNZDL6ZMBRCH
not attested
not anchored
not stored
refs pending
Physics-Data Driven Machine Learning Based Model: A Hybrid Way for Nonlinear, Dynamic, and Open-loop Identification of IPMC Soft Artificial Muscles
arxiv:2203.01616 v1 · 2022-03-03 · cs.LG · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D4ZCD7TYK6ELCXXNZDL6ZMBRCH}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T04:01:49.991524Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1f3221fe785788b15eedc8d7ecb03111ecbc05b4ce7013fd670b11b258848993
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D4ZCD7TYK6ELCXXNZDL6ZMBRCH \
| 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: 1f3221fe785788b15eedc8d7ecb03111ecbc05b4ce7013fd670b11b258848993
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eae10db0e2172d8f3c8d7c1beaec90bbb3ce65da228c8bbbcb0e1ea8525b4e19",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-03-03T10:17:04Z",
"title_canon_sha256": "12675b26d48493499813573769080969dd712cf2006bb71f339bee37598e0c69"
},
"schema_version": "1.0",
"source": {
"id": "2203.01616",
"kind": "arxiv",
"version": 1
}
}