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Agent repro run 2026-08-03 04:10 UTC
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{ "role": "system", "content": "Event", "timestamp": 1785730214061 }
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{ "role": "assistant", "content": "[Claim 0: Cyclic measurement consistency mitigates adversarial attacks on MRI reconstruction without retraining]\n# Claim 0: Cyclic measurement consistency mitigates adversarial attacks on MRI reconstruction without retraining\n\n**Real HF-job evidence:** Job `6a5dc2a3bee6ee1cf4ed...
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{ "role": "assistant", "content": "[Claim 1: Substantially reduces impact of adversarial perturbations across datasets and attack strengths]\n# Claim 1: Substantially reduces impact of adversarial perturbations across datasets and attack strengths\n\n**Real HF-job evidence:** Job `6a5dc2a3bee6ee1cf4ed20ca` (cpu-bas...
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{ "role": "assistant", "content": "[Claim 2 Fix — Mitigation raises PSNR/SSIM on three fastMRI-style datasets]\n# Claim 2 Fix — Mitigation raises PSNR/SSIM on three fastMRI-style datasets\n\n**Verdict: `toy` (real mechanism, real data, real numbers — but probe scale is below the paper's full Table 1 setup).**\n\n| ...
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{ "role": "assistant", "content": "[Claim 2: Effective in realistic scenarios including blind setup and adaptive attacks]\n# Claim 2: Effective in realistic scenarios including blind setup and adaptive attacks\n\n**Real HF-job evidence:** Job `6a5dc2a3bee6ee1cf4ed20ca` (cpu-basic, pytorch/pytorch:2.1.0-cuda12.1-cud...
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{ "role": "assistant", "content": "[Claim 5 Fix — Method generalizes across five reconstruction architectures]\n# Claim 5 Fix — Method generalizes across five reconstruction architectures\n\n**Verdict: `toy` (real mechanism, real data, real per-architecture numbers — but probe scale is below the paper's full Figure...
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{ "role": "assistant", "content": "[Overview — Reproducing NUDNFusCDu (ICML 2026)]\n# Overview — Reproducing NUDNFusCDu (ICML 2026)\n\n**Paper area:** Adversarial robustness / MRI reconstruction / cyclic measurement consistency.\n\n**Goal:** Reproduce three core claims about cyclic measurement consistency as a defe...
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{ "role": "system", "content": "Event", "timestamp": 1785730214061 }

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