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Pith Number

pith:K5NIXSK7

pith:2016:K5NIXSK73RKWYRDUCEAOWG3G4F
not attested not anchored not stored refs pending

Parallelized Tensor Train Learning of Polynomial Classifiers

Johan A.K. Suykens, Kim Batselier, Ngai Wong, Zhongming Chen

arxiv:1612.06505 v4 · 2016-12-20 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K5NIXSK73RKWYRDUCEAOWG3G4F}

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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 2026-05-18T00:31:22.262925Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

575a8bc95fdc556c44741100eb1b66e14a6fcd29138ec864076cf6b80175b56e

Aliases

arxiv: 1612.06505 · arxiv_version: 1612.06505v4 · doi: 10.48550/arxiv.1612.06505 · pith_short_12: K5NIXSK73RKW · pith_short_16: K5NIXSK73RKWYRDU · pith_short_8: K5NIXSK7
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K5NIXSK73RKWYRDUCEAOWG3G4F \
  | 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: 575a8bc95fdc556c44741100eb1b66e14a6fcd29138ec864076cf6b80175b56e
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "0285a0ef1e9604833dabf315050038df8ddac22f4c87e3488a8cee014ed06510",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2016-12-20T04:54:49Z",
    "title_canon_sha256": "23887a3ef1e6dd45021b1a98f3c49212ce20dd5534980e914f57a57b9d0f3c96"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1612.06505",
    "kind": "arxiv",
    "version": 4
  }
}