pith. sign in
Pith Number

pith:M5RDIVHL

pith:2015:M5RDIVHLSX22X3375WIXAKC4TK
not attested not anchored not stored refs pending

Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network

Andrew J.R. Simpson, Gerard Roma, Mark D. Plumbley

arxiv:1504.04658 v1 · 2015-04-17 · cs.SD · cs.LG · cs.NE

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M5RDIVHLSX22X3375WIXAKC4TK}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-05-18T02:18:30.773891Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

67623454eb95f5abef7fed9170285c9a9040066676ceaf4dd25b0a83025f21ba

Aliases

arxiv: 1504.04658 · arxiv_version: 1504.04658v1 · doi: 10.48550/arxiv.1504.04658 · pith_short_12: M5RDIVHLSX22 · pith_short_16: M5RDIVHLSX22X337 · pith_short_8: M5RDIVHL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M5RDIVHLSX22X3375WIXAKC4TK \
  | 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: 67623454eb95f5abef7fed9170285c9a9040066676ceaf4dd25b0a83025f21ba
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "76ae5c10ea7350495e85de8bebb74e240f2320182a5513faa8072aef38df2bcc",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.NE"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SD",
    "submitted_at": "2015-04-17T23:07:17Z",
    "title_canon_sha256": "0fc11475b169e864ee16288cc545ffd9fcb08ad28886252e98163c97ce44d243"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1504.04658",
    "kind": "arxiv",
    "version": 1
  }
}