Pith Number
pith:OF26YRAE
pith:2026:OF26YRAE2HI3FM6Q7GQHUTJ7AY
not attested
not anchored
not stored
refs pending
Predicting Grasping Compliance in Robotic Hands through Analytical-Model-Informed Neural Networks
arxiv:2607.17541 v1 · 2026-07-20 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OF26YRAE2HI3FM6Q7GQHUTJ7AY}
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
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-21T01:21:51.341368Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7175ec4404d1d1b2b3d0f9a07a4d3f063820e3ecbfd9538317dba6c9fd1b2b49
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OF26YRAE2HI3FM6Q7GQHUTJ7AY \
| 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: 7175ec4404d1d1b2b3d0f9a07a4d3f063820e3ecbfd9538317dba6c9fd1b2b49
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "272ce7bc669a18e49b1ed9f9cf280c5c7b66069598c8fe3b0b48f317b96e6cf2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2026-07-20T04:35:01Z",
"title_canon_sha256": "053f21e9f8e094c53d52385d7a6c53fbbf321738ce23d96ebd28fcc6aec6b340"
},
"schema_version": "1.0",
"source": {
"id": "2607.17541",
"kind": "arxiv",
"version": 1
}
}