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| license: cc0-1.0
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| tags:
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| - research-notes
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| - self-supervised
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| ---
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| # Research notes: Self Supervised
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| ## Overview
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| A structured set of research notes on **Self Supervised**, with concrete evaluation references and open questions. Plans and hypotheses are kept separate from completed results.
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| Expect rough edges — this is a working sketch, not a polished release.
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| ---
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| ## Scope and limitations
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| Exploratory by design: no benchmark claims, no completed ablations, no released code, no trained checkpoint. The references are a starting point for verification, not evidence that the study has run.
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| ---
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| ## What is covered
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| + the scope of the research question and likely confounders
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| + a proposed comparison with matched baselines
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| + concrete evaluation context such as task-appropriate public benchmarks named in the main note
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| + reproducibility checks, failure modes, and open questions
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| + topic-relevant references
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| ---
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| ## Open questions
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| + which baselines are actually comparable under matched capacity?
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| + what is the minimum data exposure for a meaningful signal?
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| + which confounders would invalidate a naive comparison?
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| ---
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| ## Acknowledgments
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| This repo borrows ideas freely from public reference implementations; credit to their authors.
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| ---
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| ## Citation
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| If this repository is useful for your work, a link back is appreciated. No formal citation is required yet.
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| ---
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| ## How to read this repository
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| Read `summary.md` first. Anything labeled as a plan or hypothesis is not a result. Future results should ship with dataset versions, commands, seeds, hardware and raw logs.
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| ---
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| ## Files
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| + `summary.md` — primary artifact
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| + `README.md` — this documentation
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| + `config.json` — architecture configuration
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| + `training_args.json` — default experiment settings
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| + `model.safetensors` — initialization checkpoint
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| ---
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| ## License
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| Distributed under the **cc0-1.0** license. External datasets keep their own terms — check them separately.
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