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Pith Number

pith:GDLLPPFD

pith:2019:GDLLPPFDV4P2WLT7E6IZANF7DJ
not attested not anchored not stored refs pending

Partition Pruning: Parallelization-Aware Pruning for Deep Neural Networks

Ahmad Albaqsami, Masoomeh Jasemi, Nader Bagherzadeh, Sina Shahhosseini

arxiv:1901.11391 v2 · 2019-01-21 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GDLLPPFDV4P2WLT7E6IZANF7DJ}

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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 2026-05-17T23:52:31.822546Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

30d6b7bca3af1fab2e7f27919034bf1a4590b6935f522bf37546928d021d7985

Aliases

arxiv: 1901.11391 · arxiv_version: 1901.11391v2 · doi: 10.48550/arxiv.1901.11391 · pith_short_12: GDLLPPFDV4P2 · pith_short_16: GDLLPPFDV4P2WLT7 · pith_short_8: GDLLPPFD
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GDLLPPFDV4P2WLT7E6IZANF7DJ \
  | 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: 30d6b7bca3af1fab2e7f27919034bf1a4590b6935f522bf37546928d021d7985
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "887635cd015175101974b8b0f6d4a414a945c1cc2556c9c19cd145afb8bbe8f4",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2019-01-21T19:34:21Z",
    "title_canon_sha256": "265eb8147cc091e5d445ec385423bd3d52e5ae028ac49d01f941f0a7f0895843"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1901.11391",
    "kind": "arxiv",
    "version": 2
  }
}