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docs: separate Cadryl catalogues from the native PyTorch cascade
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docs: preserve original artifact tracking attributes
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docs: English quick cards, variant guides and recorded comparisons
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update documents: organize accounts and resource guides
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Record verified four-model LiteRT publication and preserved historical packages
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Respect Hugging Face collection description length
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Add four verified v2.5 LiteRT cascade models, Cadryl contracts and bilingual 680-image benchmark
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update documents
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Refresh bilingual documentation, model evidence and continued-learning guides
unicorn who dev
Documentation and evidence presentation only. Preserve all weights, contracts, raw historical reports, source notices and repository visibility.
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docs: add bilingual LiteRT evidence, figures and integration guides
unicorn who dev
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Complete FireViewer Android learning SDK, source and verification records
unicorn who dev
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Complete FireViewer Android learning SDK, source and verification records
unicorn who dev
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Add on-device learning and optimizer resume: fireviewer_dfine_m_strict_v1
unicorn who dev
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Add on-device learning and optimizer resume: fireviewer_yolo11m_strict_v1
unicorn who dev
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Add on-device learning and optimizer resume: fireviewer_dinov3_pointing_pilot_v1
unicorn who dev
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Add on-device learning and optimizer resume: fireviewer_rtdetr_v2_r50
unicorn who dev
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Add on-device learning and optimizer resume: fireviewer_rfdetr_medium_v110
unicorn who dev
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Add on-device learning and optimizer resume: fireviewer_rtdetr_v2_r50
unicorn who dev
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Add on-device learning and optimizer resume: fireviewer_dinov3_pointing_pilot_v1
unicorn who dev
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Add on-device learning and optimizer resume: fireviewer_rfdetr_medium_v110
unicorn who dev
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Add on-device learning and optimizer resume: fireviewer_yolo11m_strict_v1
unicorn who dev
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Add LiteRT conversion: FireViewer YOLO11-M strict v1
unicorn who dev
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initial commit
unicorn who dev
