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@@ -28,7 +28,7 @@ This is a **paired regression** task trained with a noise-label objective (the g
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  ## Dataset
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  - **Source**: SEG C3 pre-stack synthetic data, 9 regular shot gathers
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- - **Geometry**: 201 traces × 625 time samples per shot, dt = 2 ms
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  - **Noise modeling**: Reflection signals modeled with the acoustic wave equation; ground roll modeled with the elastic wave equation to capture its dispersive, low-velocity character
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  - **Split**: Shot-level (FFID) sequential 7:1:1 — 7 training shots, 1 validation, 1 held-out test
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  ## Dataset
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  - **Source**: SEG C3 pre-stack synthetic data, 9 regular shot gathers
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+ - **Geometry**: 201 traces × 625 time samples per shot, dt = 8 ms
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  - **Noise modeling**: Reflection signals modeled with the acoustic wave equation; ground roll modeled with the elastic wave equation to capture its dispersive, low-velocity character
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  - **Split**: Shot-level (FFID) sequential 7:1:1 — 7 training shots, 1 validation, 1 held-out test
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