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docs: connect model card to evidence and add metadata

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  1. README.md +13 -2
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  ## Independent Verification Update — October 2026
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  LittleLess AI has produced experimental artifacts demonstrating compact transformer storage, low-bit weight representation, file-backed inference, and native execution.
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  Current research priorities are genuine learned entity grounding, robust unseen-data generalization, reproducible competitor comparisons, and a standalone offline inference product.
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  **Verification status:** Internal audit completed; independent external reproduction and broader competitive benchmarking remain pending.
 
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- **Researcher:** Putluru Sandeep
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- **Source:** https://github.com/sunny-kavixo/LittleLess-AI
 
 
 
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+ ---
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+ license: unknown
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+ tags:
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+ - model-compression
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+ - quantization
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+ - streaming-inference
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+ - experimental-research
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+ ---
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  ## Independent Verification Update — October 2026
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  LittleLess AI has produced experimental artifacts demonstrating compact transformer storage, low-bit weight representation, file-backed inference, and native execution.
 
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  Current research priorities are genuine learned entity grounding, robust unseen-data generalization, reproducible competitor comparisons, and a standalone offline inference product.
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  **Verification status:** Internal audit completed; independent external reproduction and broader competitive benchmarking remain pending.
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+ ## Related Research Repositories
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+ - **Research Evidence Dataset:** https://huggingface.co/datasets/putlurusandeep/LittleLess-AI-Research-Evidence
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+ - **GitHub Source Code:** https://github.com/sunny-kavixo/LittleLess-AI
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+ **Release status:** Experimental research. No downloadable pretrained model weights are provided. Independent external reproduction remains pending.