Pith Number
pith:FLSZFR4Q
pith:2017:FLSZFR4QKVEM4DB44ZQEQPV6IE
not attested
not anchored
not stored
refs pending
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks
arxiv:1707.02796 v2 · 2017-07-10 · cs.RO · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FLSZFR4QKVEM4DB44ZQEQPV6IE}
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 | 2026-05-18T00:31:55.750099Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2ae592c7905548ce0c3ce660483ebe4121fe8bd230a185fb2e85e07b2bfe81b6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FLSZFR4QKVEM4DB44ZQEQPV6IE \
| 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: 2ae592c7905548ce0c3ce660483ebe4121fe8bd230a185fb2e85e07b2bfe81b6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "27215a5c7e496df2a3cb71cdfd97c13fa11120d27a68c02c9c7af66e1ccbb04d",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2017-07-10T11:04:42Z",
"title_canon_sha256": "dc895f9a9b8efcdd2de602bbe269d91142bc575ca216e8a62c4e7e9ce0b568a2"
},
"schema_version": "1.0",
"source": {
"id": "1707.02796",
"kind": "arxiv",
"version": 2
}
}