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Pith Number

pith:PQ3ETXEN

pith:2020:PQ3ETXENEYJHHE2U2FAJLFUYRN
not attested not anchored not stored refs pending

Importance of Data Loading Pipeline in Training Deep Neural Networks

Mahdi Zolnouri, Vahid Partovi Nia, Xinlin Li

arxiv:2005.02130 v1 · 2020-04-21 · cs.CV · cs.LG

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\usepackage{pith}
\pithnumber{PQ3ETXENEYJHHE2U2FAJLFUYRN}

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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

Receipt and verification
First computed 2026-07-05T01:00:22.853538Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7c3649dc8d2612739354d1409596988b7e86f76d021e364feacd0ff796ec3ec2

Aliases

arxiv: 2005.02130 · arxiv_version: 2005.02130v1 · doi: 10.48550/arxiv.2005.02130 · pith_short_12: PQ3ETXENEYJH · pith_short_16: PQ3ETXENEYJHHE2U · pith_short_8: PQ3ETXEN
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PQ3ETXENEYJHHE2U2FAJLFUYRN \
  | 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: 7c3649dc8d2612739354d1409596988b7e86f76d021e364feacd0ff796ec3ec2
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a8440ca3ed9efe2740aefad6c31fde62761bb30b1f3df42e217b3381f33bab9b",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2020-04-21T14:19:48Z",
    "title_canon_sha256": "ea92dc29cbcd50b2b034c40ed3fdc4e9b4879ae8b92e1ac68371e699c062d490"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2005.02130",
    "kind": "arxiv",
    "version": 1
  }
}