Pith Number
pith:VG5DV2SJ
pith:2018:VG5DV2SJL23WMWK4TIJDZCLWD3
not attested
not anchored
not stored
refs pending
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images
arxiv:1803.03435 v4 · 2018-03-09 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VG5DV2SJL23WMWK4TIJDZCLWD3}
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
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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 | 2026-05-17T23:41:13.276809Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a9ba3aea495eb766595c9a123c89761eff3e8e6f0bd4e261077e33a36b07ad0e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VG5DV2SJL23WMWK4TIJDZCLWD3 \
| 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: a9ba3aea495eb766595c9a123c89761eff3e8e6f0bd4e261077e33a36b07ad0e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "52f63d082c90384c768f2c1532edc0a436ce832dd6f30d93e7349582122ed94c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2018-03-09T09:40:33Z",
"title_canon_sha256": "c765d0c18c65ad4655494aa280d286505d9b33b5aa8dd3e18a4c8143afbe13a8"
},
"schema_version": "1.0",
"source": {
"id": "1803.03435",
"kind": "arxiv",
"version": 4
}
}