Pith Number

pith:CM32M72Y

pith:2017:CM32M72YQMYMVNUCVLCZ3X4V3T

not attested not anchored not stored refs pending

Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification

Tingxi Wen, Zhongnan Zhang

arxiv:1701.06120 v1 · 2017-01-22 · cs.LG · cs.IT · math.IT · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{CM32M72YQMYMVNUCVLCZ3X4V3T}

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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	2026-05-18T00:52:19.237036Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1337a67f588330cab682aac59ddf95dcde00289ab49afda90d07579ce9418b46

Aliases

arxiv: 1701.06120 · arxiv_version: 1701.06120v1 · doi: 10.48550/arxiv.1701.06120 · pith_short_12: CM32M72YQMYM · pith_short_16: CM32M72YQMYMVNUC · pith_short_8: CM32M72Y

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/CM32M72YQMYMVNUCVLCZ3X4V3T \
  | 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: 1337a67f588330cab682aac59ddf95dcde00289ab49afda90d07579ce9418b46

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "07d0108de194681047f0a9e1fe0432477094dbf992ee3ea372fd10b0b886c5e2",
    "cross_cats_sorted": [
      "cs.IT",
      "math.IT",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-01-22T04:20:52Z",
    "title_canon_sha256": "e81aed4a49d0b9540be113932ff7fe4b599332b45f7bd8a29972977a5ce9d10a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1701.06120",
    "kind": "arxiv",
    "version": 1
  }
}