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Pith Number

pith:EWQGNWLM

pith:2016:EWQGNWLM6AAHKN3VPSJO463ZF3
not attested not anchored not stored refs pending

Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems

Abhinav Vishnu, Charles Siegel, Jeff Daily

arxiv:1610.00790 v1 · 2016-10-03 · cs.NE

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EWQGNWLM6AAHKN3VPSJO463ZF3}

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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 2026-05-18T01:03:13.171710Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

25a066d96cf0007537757c92ee7b792ecc216035c29d771684ee0ce31e640947

Aliases

arxiv: 1610.00790 · arxiv_version: 1610.00790v1 · doi: 10.48550/arxiv.1610.00790 · pith_short_12: EWQGNWLM6AAH · pith_short_16: EWQGNWLM6AAHKN3V · pith_short_8: EWQGNWLM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EWQGNWLM6AAHKN3VPSJO463ZF3 \
  | 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: 25a066d96cf0007537757c92ee7b792ecc216035c29d771684ee0ce31e640947
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "da3e80ce0d011f5a455b732713b2f99f0250fe04f36155de2355f8e9d4903583",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2016-10-03T23:23:34Z",
    "title_canon_sha256": "26b00429acc74423f739ca55e2fb6008ba186911ab1b5552e59c09dc87545fde"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1610.00790",
    "kind": "arxiv",
    "version": 1
  }
}