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license: cc0-1.0
tags:
- research-notes
- self-supervised
---
# Research notes: Self Supervised
## Overview
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.
Expect rough edges — this is a working sketch, not a polished release.
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## Scope and limitations
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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## What is covered
+ the scope of the research question and likely confounders
+ a proposed comparison with matched baselines
+ concrete evaluation context such as task-appropriate public benchmarks named in the main note
+ reproducibility checks, failure modes, and open questions
+ topic-relevant references
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## Open questions
+ which baselines are actually comparable under matched capacity?
+ what is the minimum data exposure for a meaningful signal?
+ which confounders would invalidate a naive comparison?
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## Acknowledgments
This repo borrows ideas freely from public reference implementations; credit to their authors.
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## Citation
If this repository is useful for your work, a link back is appreciated. No formal citation is required yet.
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## How to read this repository
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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## Files
+ `summary.md` — primary artifact
+ `README.md` — this documentation
+ `config.json` — architecture configuration
+ `training_args.json` — default experiment settings
+ `model.safetensors` — initialization checkpoint
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## License
Distributed under the **cc0-1.0** license. External datasets keep their own terms — check them separately.
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