Pith Number

pith:TLT7ZLH4

pith:2019:TLT7ZLH4DQFLSF3ZUL4TMEONEM

not attested not anchored not stored refs pending

Confidence Calibration for Convolutional Neural Networks Using Structured Dropout

Adrian V. Dalca, Mert R. Sabuncu, Zhilu Zhang

arxiv:1906.09551 v1 · 2019-06-23 · cs.LG · cs.CV · stat.ML

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\usepackage{pith}
\pithnumber{TLT7ZLH4DQFLSF3ZUL4TMEONEM}

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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

2 papers in Pith

VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning

Algorithm and Hardware Co-Design for Efficient Complex-Valued Uncertainty Estimation

Receipt and verification

First computed	2026-05-17T23:42:37.597573Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9ae7fcacfc1c0ab91779a2f93611cd230feee17841f6670c5c7456e2b968c57c

Aliases

arxiv: 1906.09551 · arxiv_version: 1906.09551v1 · doi: 10.48550/arxiv.1906.09551 · pith_short_12: TLT7ZLH4DQFL · pith_short_16: TLT7ZLH4DQFLSF3Z · pith_short_8: TLT7ZLH4

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/TLT7ZLH4DQFLSF3ZUL4TMEONEM \
  | 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: 9ae7fcacfc1c0ab91779a2f93611cd230feee17841f6670c5c7456e2b968c57c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "06e748fe4df474f08ba42bf393ed1c22f1af84107108c67f0dae2ebd797360e0",
    "cross_cats_sorted": [
      "cs.CV",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-06-23T04:34:14Z",
    "title_canon_sha256": "cbeded080e3e6531d4aea3e7d6df9d5385b604729ef76a8d384b2559cbd2fbff"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1906.09551",
    "kind": "arxiv",
    "version": 1
  }
}