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pith:LO6524MP

pith:2026:LO6524MPAKGZHFXV5RJVVDG2DA
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Small-scale photonic Kolmogorov-Arnold networks using standard telecom nonlinear modules

Egor Manuylovich, Luca Nogueira Cal\c{c}ado, Sergei K. Turitsyn

Photonic Kolmogorov-Arnold networks built from a few standard telecom modules achieve 98.4% accuracy on nonlinear tasks

arxiv:2604.08432 v2 · 2026-04-09 · physics.optics · cs.AI

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\pithnumber{LO6524MPAKGZHFXV5RJVVDG2DA}

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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

A four-module network achieves 98.4% accuracy on nonlinear classification benchmarks inaccessible to linear models. Performance remains robust under realistic hardware impairments, maintaining high accuracy down to 6-bit input resolution and 14 dB signal-to-noise ratio.

C2weakest assumption

The four-parameter optical transfer function per edge is sufficiently expressive for the target tasks and that the end-to-end differentiable physics model accurately predicts real-device behavior without unmodeled impairments or fabrication variations.

C3one line summary

Small photonic KANs using commodity telecom nonlinear modules reach 98.4% accuracy on nonlinear classification with only four modules and remain robust to hardware impairments.

Receipt and verification
First computed 2026-05-20T00:05:44.543150Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5bbddd718f028d9396f5ec535a8cda18182deeece178305507501648ecfe82d0

Aliases

arxiv: 2604.08432 · arxiv_version: 2604.08432v2 · doi: 10.48550/arxiv.2604.08432 · pith_short_12: LO6524MPAKGZ · pith_short_16: LO6524MPAKGZHFXV · pith_short_8: LO6524MP
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LO6524MPAKGZHFXV5RJVVDG2DA \
  | 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: 5bbddd718f028d9396f5ec535a8cda18182deeece178305507501648ecfe82d0
Canonical record JSON
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    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "physics.optics",
    "submitted_at": "2026-04-09T16:34:58Z",
    "title_canon_sha256": "14d521a2d947850eab5ae8be858103eb49e0cb2f3e1b06b0728eecdd9ea393c0"
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