Pith Number

pith:4WI76UG2

pith:2019:4WI76UG2UQRAJZ7RD6SCIFED57

not attested not anchored not stored refs pending

Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features

Bin Liu, Cunhang Fan, Jiangyan Yi, Jianhua Tao, Zhengqi Wen

arxiv:1907.09884 v1 · 2019-07-23 · cs.SD · cs.LG · eess.AS

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\usepackage{pith}
\pithnumber{4WI76UG2UQRAJZ7RD6SCIFED57}

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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.

Cited by

1 paper in Pith

Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features

Receipt and verification

First computed	2026-05-17T23:39:49.801143Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e591ff50daa42204e7f11fa4241483efe4800f1dbd197f881a051d391c0ec6ee

Aliases

arxiv: 1907.09884 · arxiv_version: 1907.09884v1 · doi: 10.48550/arxiv.1907.09884 · pith_short_12: 4WI76UG2UQRA · pith_short_16: 4WI76UG2UQRAJZ7R · pith_short_8: 4WI76UG2

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/4WI76UG2UQRAJZ7RD6SCIFED57 \
  | 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: e591ff50daa42204e7f11fa4241483efe4800f1dbd197f881a051d391c0ec6ee

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "acaf45de450ea43b8f209b5496f960455b2a3101311ca8a6c81777aaa57f57cc",
    "cross_cats_sorted": [
      "cs.LG",
      "eess.AS"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SD",
    "submitted_at": "2019-07-23T14:00:06Z",
    "title_canon_sha256": "968d41b602e0975824a7c0f3a90d445649f1df8bfb2cb5f56fed043fbe4a2de3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1907.09884",
    "kind": "arxiv",
    "version": 1
  }
}