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Pith Number

pith:MGKCQBSC

pith:2016:MGKCQBSCEQFWTY35DI4JMNKGXR
not attested not anchored not stored refs pending

Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms

Andrey Filchenkov, Ilya Isaev, Ivan Smetannikov

arxiv:1611.02047 v1 · 2016-11-07 · cs.LG · cs.AI · stat.ML

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\usepackage{pith}
\pithnumber{MGKCQBSCEQFWTY35DI4JMNKGXR}

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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 2026-05-18T01:00:03.826388Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6194280642240b69e37d1a38963546bc7e4852d3d4780bf84956296b189b1807

Aliases

arxiv: 1611.02047 · arxiv_version: 1611.02047v1 · doi: 10.48550/arxiv.1611.02047 · pith_short_12: MGKCQBSCEQFW · pith_short_16: MGKCQBSCEQFWTY35 · pith_short_8: MGKCQBSC
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MGKCQBSCEQFWTY35DI4JMNKGXR \
  | 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: 6194280642240b69e37d1a38963546bc7e4852d3d4780bf84956296b189b1807
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7f16651c20d6023bbb13d2fed64c8c817e9f93e6a2ecb780bbdb1639e021d1f8",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2016-11-07T13:43:38Z",
    "title_canon_sha256": "7add5fa34ea7312570436335c63feef8cc3a237163e23d1cc5aff5f968ab7012"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1611.02047",
    "kind": "arxiv",
    "version": 1
  }
}