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Pith Number

pith:33NIG5ZU

pith:2026:33NIG5ZUX25ZH2SCHAEVQSOQ2I
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A Fast and Generic Energy-Shifting Transformer for Hybrid Monte Carlo Radiotherapy Calculation

Chi-Hieu Pham, Didier Benoit, Dimitris Visvikis, Julien Bert, Ulrike Schick, Vincent Bourbonne

A deep learning method called Energy-Shifting generates clinical 6 MV LINAC dose maps from monoenergetic inputs and passes 98 percent gamma criteria in prostate radiotherapy planning.

arxiv:2604.09157 v2 · 2026-04-10 · physics.med-ph · cs.LG

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\pithnumber{33NIG5ZUX25ZH2SCHAEVQSOQ2I}

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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

Our proposed pipeline achieves a Gamma Passing Rate exceeding 98% (3%/3mm) compared to the MC reference, evaluated within the framework of a treatment planning system (TPS) for prostate radiotherapy.

C2weakest assumption

That synthesizing dose from monoenergetic inputs under identical beam configurations preserves beam profile integrity and generalizes to unseen clinical datasets without introducing clinically relevant errors in heterogeneous anatomy.

C3one line summary

A hybrid Transformer-UNet model with energy-shifting inputs generates 6 MV LINAC dose maps from monoenergetic data, achieving over 98% gamma passing rate (3%/3mm) versus full Monte Carlo for prostate radiotherapy.

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Receipt and verification
First computed 2026-05-27T01:05:54.116842Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

deda837734bebb93ea4238095849d0d231fd03f1fe05defb1ce0cb083791fced

Aliases

arxiv: 2604.09157 · arxiv_version: 2604.09157v2 · doi: 10.48550/arxiv.2604.09157 · pith_short_12: 33NIG5ZUX25Z · pith_short_16: 33NIG5ZUX25ZH2SC · pith_short_8: 33NIG5ZU
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/33NIG5ZUX25ZH2SCHAEVQSOQ2I \
  | 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: deda837734bebb93ea4238095849d0d231fd03f1fe05defb1ce0cb083791fced
Canonical record JSON
{
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      "cs.LG"
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    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "physics.med-ph",
    "submitted_at": "2026-04-10T09:42:41Z",
    "title_canon_sha256": "97d6febfa610a02191cb256a05616dbf235b0116f868674040a1bc1cdc1501f4"
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    "kind": "arxiv",
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