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Pith Number

pith:7HJGEKUN

pith:2025:7HJGEKUN5L4SVGJUUI74COYCVI
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Page image classification for content-specific data processing

Kateryna Lutsai, Pavel Stra\v{n}\'ak

An image classification system sorts historical document pages by content to enable tailored processing pipelines.

arxiv:2507.21114 v4 · 2025-07-11 · cs.IR · cs.AI · cs.CV

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\pithnumber{7HJGEKUN5L4SVGJUUI74COYCVI}

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

This project addresses this need by developing and evaluating an image classification system specifically designed for historical document pages, leveraging advancements in artificial intelligence and machine learning. The set of categories was chosen to facilitate content-specific processing workflows, separating pages requiring different analysis techniques (e.g., OCR for text, image analysis for graphics).

C2weakest assumption

That a standard image classifier trained on historical page images can reliably separate the described content types at a level useful for downstream specialized pipelines, without the abstract providing any accuracy figures, dataset details, or error analysis to support this.

C3one line summary

Develops an image classification system for historical document pages to support content-specific analysis pipelines.

Receipt and verification
First computed 2026-05-26T02:03:52.870609Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f9d2622a8deaf92a9934a23fc13b02aa2ccdcdced06174d96cf047e217435614

Aliases

arxiv: 2507.21114 · arxiv_version: 2507.21114v4 · doi: 10.48550/arxiv.2507.21114 · pith_short_12: 7HJGEKUN5L4S · pith_short_16: 7HJGEKUN5L4SVGJU · pith_short_8: 7HJGEKUN
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7HJGEKUN5L4SVGJUUI74COYCVI \
  | 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: f9d2622a8deaf92a9934a23fc13b02aa2ccdcdced06174d96cf047e217435614
Canonical record JSON
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    "abstract_canon_sha256": "1c67bd51d0f628ea92e7c0ba125c0d3839add78e68764b90da52cadb11d1a909",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.IR",
    "submitted_at": "2025-07-11T08:30:12Z",
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