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Pith Number

pith:7SCJRFBK

pith:2017:7SCJRFBKM7TE5UEFNEB5NIHHCJ
not attested not anchored not stored refs pending

Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Eiji Uchibe, Kenji Doya, Stefan Elfwing

arxiv:1702.03118 v3 · 2017-02-10 · cs.LG

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\usepackage{pith}
\pithnumber{7SCJRFBKM7TE5UEFNEB5NIHHCJ}

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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.

Cited by

4 papers in Pith

Receipt and verification
First computed 2026-05-18T00:31:31.363650Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fc8498942a67e64ed0856903d6a0e7127b15506dae2cfd764ab963b71bad2ec6

Aliases

arxiv: 1702.03118 · arxiv_version: 1702.03118v3 · doi: 10.48550/arxiv.1702.03118 · pith_short_12: 7SCJRFBKM7TE · pith_short_16: 7SCJRFBKM7TE5UEF · pith_short_8: 7SCJRFBK
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7SCJRFBKM7TE5UEFNEB5NIHHCJ \
  | 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: fc8498942a67e64ed0856903d6a0e7127b15506dae2cfd764ab963b71bad2ec6
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "3a87e1cdc7c2f7c99e3413d1527df9948f844c5a199f8560fe4f5d562d50e857",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-02-10T10:04:30Z",
    "title_canon_sha256": "61759cb9816f3dbf1f5ceb34b89e5f45f4e548e937d0f010268d68a5f34be9d4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1702.03118",
    "kind": "arxiv",
    "version": 3
  }
}