pith. sign in
Pith Number

pith:2EG7OJEX

pith:2018:2EG7OJEXG5PVUPVO62JTWLLPJ3
not attested not anchored not stored refs pending

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Alexandre Campeau-Lecours, Alexandre Drouin, Benoit Gosselin, Cheikh Latyr Fall, Cl\'ement Gosselin, Fran\c{c}ois Laviolette, Kyrre Glette, Ulysse C\^ot\'e-Allard

arxiv:1801.07756 v5 · 2018-01-10 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2EG7OJEXG5PVUPVO62JTWLLPJ3}

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 open · sign in to claim
4 Citations open
5 Replications open
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 2026-05-17T23:55:30.865240Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d10df72497375f5a3eaef6933b2d6f4ecb704ad34153860d3e3e158e8fa00057

Aliases

arxiv: 1801.07756 · arxiv_version: 1801.07756v5 · doi: 10.48550/arxiv.1801.07756 · pith_short_12: 2EG7OJEXG5PV · pith_short_16: 2EG7OJEXG5PVUPVO · pith_short_8: 2EG7OJEX
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2EG7OJEXG5PVUPVO62JTWLLPJ3 \
  | 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: d10df72497375f5a3eaef6933b2d6f4ecb704ad34153860d3e3e158e8fa00057
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "80ac039b4be7d4179729ffb100e388862255c951c35a80860b1947ddc5cb8bcf",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-01-10T11:42:30Z",
    "title_canon_sha256": "5985aa01823ef73e1f5b57f7025eaec51d8185fc8323b8d091cbb9541e50ffd1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1801.07756",
    "kind": "arxiv",
    "version": 5
  }
}