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Pith Number

pith:24MREQMA

pith:2017:24MREQMASEPBOBGQNVSFW6KGWP
not attested not anchored not stored refs pending

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks

Chunjie Luo, Jianfeng Zhan, Lei Wang, Qiang Yang

arxiv:1702.05870 v5 · 2017-02-20 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{24MREQMASEPBOBGQNVSFW6KGWP}

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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 2026-05-18T00:32:20.809627Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d719124180911e1704d06d645b7946b3f8d459073476dcc68f5f422d78bf1713

Aliases

arxiv: 1702.05870 · arxiv_version: 1702.05870v5 · doi: 10.48550/arxiv.1702.05870 · pith_short_12: 24MREQMASEPB · pith_short_16: 24MREQMASEPBOBGQ · pith_short_8: 24MREQMA
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/24MREQMASEPBOBGQNVSFW6KGWP \
  | 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: d719124180911e1704d06d645b7946b3f8d459073476dcc68f5f422d78bf1713
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "20ecd73b68aa6e9c8be400e12d7f28b2a18dc917d78bf4713a3a418b7f3fdb52",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-02-20T06:17:02Z",
    "title_canon_sha256": "4efe4b5cc91b8fa9cb5548727e355eefcfa62310eed93dcae4693bdce810ce29"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1702.05870",
    "kind": "arxiv",
    "version": 5
  }
}