Pith Number

pith:HJ5FSV3K

pith:2025:HJ5FSV3K6PTMASSOT7Z7QWMNDY

not attested not anchored not stored refs pending

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification

Ashim Dahal, Nick Rahimi, Saydul Akbar Murad

arxiv:2501.15757 v3 · 2025-01-27 · cs.CV · cs.AI

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\usepackage{pith}
\pithnumber{HJ5FSV3K6PTMASSOT7Z7QWMNDY}

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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

Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs

Multi-Class Neurological Disorder Prediction with Tensor Network Feature Engineering

Receipt and verification

First computed	2026-07-05T11:13:19.169772Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3a7a59576af3e6c04a4e9ff3f8598d1e1a6a3da1ea7e98638b0403b2e037c8a4

Aliases

arxiv: 2501.15757 · arxiv_version: 2501.15757v3 · doi: 10.48550/arxiv.2501.15757 · pith_short_12: HJ5FSV3K6PTM · pith_short_16: HJ5FSV3K6PTMASSO · pith_short_8: HJ5FSV3K

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/HJ5FSV3K6PTMASSOT7Z7QWMNDY \
  | 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: 3a7a59576af3e6c04a4e9ff3f8598d1e1a6a3da1ea7e98638b0403b2e037c8a4

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7a2e7391b22417a8f18a5d14f3f335563079fbf232adc26eca96cdcef9f8c5ab",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-01-27T04:00:05Z",
    "title_canon_sha256": "8eb2c8c966d6176e25e822b73927bcd2bb1d71f17d3bd0daeafd1062512d5175"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.15757",
    "kind": "arxiv",
    "version": 3
  }
}