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Pith Number

pith:QBKK4ERH

pith:2017:QBKK4ERH24YBDKBJ4KVDOT5ZDK
not attested not anchored not stored refs pending

A Survey of Model Compression and Acceleration for Deep Neural Networks

Duo Wang, Pan Zhou, Tao Zhang, Yu Cheng

arxiv:1710.09282 v9 · 2017-10-23 · cs.LG · cs.CV

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\usepackage{pith}
\pithnumber{QBKK4ERH24YBDKBJ4KVDOT5ZDK}

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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

12 papers in Pith

Receipt and verification
First computed 2026-07-05T01:10:10.155853Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

8054ae1227d73011a829e2aa374fb91ab4785354242057600904d87a51d25aae

Aliases

arxiv: 1710.09282 · arxiv_version: 1710.09282v9 · doi: 10.48550/arxiv.1710.09282 · pith_short_12: QBKK4ERH24YB · pith_short_16: QBKK4ERH24YBDKBJ · pith_short_8: QBKK4ERH
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QBKK4ERH24YBDKBJ4KVDOT5ZDK \
  | 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: 8054ae1227d73011a829e2aa374fb91ab4785354242057600904d87a51d25aae
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9cfbf8de2039596cd083bbc4226523094c6fd6b4caa410cf28e021d285928029",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-10-23T20:16:55Z",
    "title_canon_sha256": "9ad591c50a28ef2823fc06026583dbd352e1b86eee40159378fc3b63f14502d3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1710.09282",
    "kind": "arxiv",
    "version": 9
  }
}