Pith Number

pith:OXIZ7PF3

pith:2026:OXIZ7PF3FWML7KNKG7EP6HTHMI

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A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection

Doohyun Park, Gitaek Kwon, Jihyeon Baek, Seunghoon Lee

Machine learning matches deep learning performance for out-of-distribution detection in medical images but with substantially lower latency.

arxiv:2605.10181 v2 · 2026-05-11 · cs.CV · cs.AI

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\usepackage{pith}
\pithnumber{OXIZ7PF3FWML7KNKG7EP6HTHMI}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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.

Claims

C1strongest claim

Both approaches achieved an AUROC of 1.000 and accuracies between 0.999 and 1.000 on internal and external validation sets, showing comparable detection performance. The ML approach, however, exhibited substantially lower end-to-end latency while maintaining equivalent accuracy.

C2weakest assumption

Medical imaging data acquired under standardized protocols exhibit limited image variability, allowing lightweight ML methods to achieve performance comparable to DL in OOD detection tasks.

C3one line summary

ML matches DL in OOD detection accuracy for medical images but with substantially lower latency.

Cited by

2 papers in Pith

A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection

Receipt and verification

First computed	2026-05-21T01:05:20.932974Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

75d19fbcbb2d98bfa9aa37c8ff1e67620ada1cf3c8466d0ca53d54483133c472

Aliases

arxiv: 2605.10181 · arxiv_version: 2605.10181v2 · doi: 10.48550/arxiv.2605.10181 · pith_short_12: OXIZ7PF3FWML · pith_short_16: OXIZ7PF3FWML7KNK · pith_short_8: OXIZ7PF3

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/OXIZ7PF3FWML7KNKG7EP6HTHMI \
  | 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: 75d19fbcbb2d98bfa9aa37c8ff1e67620ada1cf3c8466d0ca53d54483133c472

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "cf08ffc2b4c3a4516a812b309d0ccea42f55eef35cef7c2481247e75d7890d3e",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-11T08:32:50Z",
    "title_canon_sha256": "354af016f93a95670271a6186eee09f310676f21dae4129d8f8cd814b3ba609a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.10181",
    "kind": "arxiv",
    "version": 2
  }
}