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Pith Number

pith:V6L6EPT3

pith:2019:V6L6EPT3LKGFDNUVQ7MRUIAAMA
not attested not anchored not stored refs pending

Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks

Fei Li, Rujie Liu, Wei Shen

arxiv:1907.00348 v1 · 2019-06-30 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V6L6EPT3LKGFDNUVQ7MRUIAAMA}

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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 2026-05-17T23:41:52.074264Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

af97e23e7b5a8c51b69587d91a20006011458153ceab90cbadf57659ede373b8

Aliases

arxiv: 1907.00348 · arxiv_version: 1907.00348v1 · doi: 10.48550/arxiv.1907.00348 · pith_short_12: V6L6EPT3LKGF · pith_short_16: V6L6EPT3LKGFDNUV · pith_short_8: V6L6EPT3
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V6L6EPT3LKGFDNUVQ7MRUIAAMA \
  | 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: af97e23e7b5a8c51b69587d91a20006011458153ceab90cbadf57659ede373b8
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5e75ff6af62fa625ef2e1451ca707137c231d443993ff6fef4db59e357f9719c",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2019-06-30T09:58:18Z",
    "title_canon_sha256": "ed7be174eac2942dde5d5f0d5ac0ad31e4d58657c8cd12a0a4a35924d1018ab2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1907.00348",
    "kind": "arxiv",
    "version": 1
  }
}