Pith Number
pith:KLZE4GWW
pith:2023:KLZE4GWWJ7B7WHJDBIODFAXEEC
not attested
not anchored
not stored
refs pending
Robust Collision Detection for Robots with Variable Stiffness Actuation by Using MAD-CNN: Modularized-Attention-Dilated Convolutional Neural Network
arxiv:2310.02573 v3 · 2023-10-04 · cs.RO · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KLZE4GWWJ7B7WHJDBIODFAXEEC}
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
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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 | 2026-07-05T07:39:30.749007Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
52f24e1ad64fc3fb1d230a1c3282e420870093e20d0c34b593fdfdbdbb6bd34d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KLZE4GWWJ7B7WHJDBIODFAXEEC \
| 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: 52f24e1ad64fc3fb1d230a1c3282e420870093e20d0c34b593fdfdbdbb6bd34d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bf76ed76c05bc452397f3448c88fa4bddcdc9e3a02fe299276d98a9a330a4553",
"cross_cats_sorted": [
"cs.HC"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2023-10-04T04:18:23Z",
"title_canon_sha256": "c38da89c611aba55cc873013ae2f6c7e9c6a0a99b864cc79218e207f83768f0d"
},
"schema_version": "1.0",
"source": {
"id": "2310.02573",
"kind": "arxiv",
"version": 3
}
}