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Pith Number

pith:JNCI3WFH

pith:2018:JNCI3WFH3TEEGXGPYQE54CGKXT
not attested not anchored not stored refs pending

Exploratory Analysis of a Large Flamenco Corpus using an Ensemble of Convolutional Neural Networks as a Structural Annotation Backend

Aggelos Pikrakis, Nadine Kroher

arxiv:1807.00069 v1 · 2018-06-29 · cs.SD · eess.AS

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JNCI3WFH3TEEGXGPYQE54CGKXT}

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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 2026-05-18T00:11:56.214382Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4b448dd8a7dcc8435ccfc409de08cabce4066f78e58ab1ceee3925227a480ad4

Aliases

arxiv: 1807.00069 · arxiv_version: 1807.00069v1 · doi: 10.48550/arxiv.1807.00069 · pith_short_12: JNCI3WFH3TEE · pith_short_16: JNCI3WFH3TEEGXGP · pith_short_8: JNCI3WFH
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JNCI3WFH3TEEGXGPYQE54CGKXT \
  | 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: 4b448dd8a7dcc8435ccfc409de08cabce4066f78e58ab1ceee3925227a480ad4
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4c98bc401f3733c47920fc32f4bd2e421c9cb162ac1e14268a7e84a3c14b675e",
    "cross_cats_sorted": [
      "eess.AS"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SD",
    "submitted_at": "2018-06-29T21:05:19Z",
    "title_canon_sha256": "7595b2db14330f56c677d75a68dfcdabb37377636b7507517ef63df93bb01a83"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1807.00069",
    "kind": "arxiv",
    "version": 1
  }
}