Pith Number
pith:4AFTODV4
pith:2026:4AFTODV43EX4IKYNU7KJ6JSO37
not attested
not anchored
not stored
refs pending
Learning to Feel Materials from Multisensory Tactile Data via Interpretable Models
arxiv:2605.29572 v1 · 2026-05-28 · cs.RO · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4AFTODV43EX4IKYNU7KJ6JSO37}
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
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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 | 2026-05-29T01:05:48.101986Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e00b370ebcd92fc42b0da7d49f264edff09613478055286dcb12e840a9201f46
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4AFTODV43EX4IKYNU7KJ6JSO37 \
| 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: e00b370ebcd92fc42b0da7d49f264edff09613478055286dcb12e840a9201f46
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "488c6bd9f118868fc89c4e22dc468532915abdc0ce40795c313e7ca018abe2dc",
"cross_cats_sorted": [
"cs.HC"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2026-05-28T08:20:01Z",
"title_canon_sha256": "e9c35b745086f1d864ea7552922503a7073d8e2cc519708a318c2bb09f9beaa8"
},
"schema_version": "1.0",
"source": {
"id": "2605.29572",
"kind": "arxiv",
"version": 1
}
}