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Pith Number

pith:BAGTQBNT

pith:2018:BAGTQBNTWAIIWT7OTVYFFIKOG7
not attested not anchored not stored refs pending

A Neural Network Aided Approach for LDPC Coded DCO-OFDM with Clipping Distortion

Chunming Zhao, Ming Jiang, Yuan He

arxiv:1809.01022 v1 · 2018-09-04 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BAGTQBNTWAIIWT7OTVYFFIKOG7}

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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 2026-05-18T00:06:31.890209Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

080d3805b3b0108b4fee9d7052a14e37e008d5bf0f4b83c5d83b1cfce5f48ca9

Aliases

arxiv: 1809.01022 · arxiv_version: 1809.01022v1 · doi: 10.48550/arxiv.1809.01022 · pith_short_12: BAGTQBNTWAII · pith_short_16: BAGTQBNTWAIIWT7O · pith_short_8: BAGTQBNT
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BAGTQBNTWAIIWT7OTVYFFIKOG7 \
  | 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: 080d3805b3b0108b4fee9d7052a14e37e008d5bf0f4b83c5d83b1cfce5f48ca9
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "214969341c1510000524306de0cd3c41fc2b009b6472f422897ab8383ae74a2b",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-09-04T14:31:42Z",
    "title_canon_sha256": "96f71f251392fb88f2d166e1a8a24c712b59302d1eeab1d333f8e51ae3877de2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1809.01022",
    "kind": "arxiv",
    "version": 1
  }
}