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pith:SAH3XESM

pith:2026:SAH3XESM4CCNNG6KAWXAXF5D5H
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Laplacian Heads Improve Transformers by Smoothing Token Representations

Vardan Papyan, Yuchong Zhang

Replacing some attention heads with Laplacian operators improves Transformer performance by enabling beneficial smoothing of token representations.

arxiv:2602.09297 v3 · 2026-02-10 · cs.LG

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Claims

C1strongest claim

We show that this simple modification improves performance across supervised learning, language modeling, and self-supervised learning tasks.

C2weakest assumption

That the performance gains are caused by the smoothing mechanism of the Laplacian heads rather than incidental changes in optimization dynamics or capacity.

C3one line summary

Laplacian heads replace some attention matrices with I minus P in Transformers, improving performance by smoothing tokens and challenging the view that oversmoothing is always detrimental.

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First computed 2026-05-20T00:00:34.094185Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

900fbb924ce084d69bca05ae0b97a3e9df2ab81f3a0b8f856e9663f8b3fedd12

Aliases

arxiv: 2602.09297 · arxiv_version: 2602.09297v3 · doi: 10.48550/arxiv.2602.09297 · pith_short_12: SAH3XESM4CCN · pith_short_16: SAH3XESM4CCNNG6K · pith_short_8: SAH3XESM
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/SAH3XESM4CCNNG6KAWXAXF5D5H \
  | 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: 900fbb924ce084d69bca05ae0b97a3e9df2ab81f3a0b8f856e9663f8b3fedd12
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-02-10T00:27:45Z",
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