---
license: apache-2.0
tags:
- research-notes
- self-supervised
---

# Self Supervised: reading plan

## 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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## 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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## Scope And Limitations

The note is intentionally exploratory. It does not claim benchmark improvements, completed ablations, released code, or a trained checkpoint. References and proposed datasets provide a starting point for verification rather than evidence that the study has already been run.

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## Related Work

- survey-level references come first
- benchmark papers follow
- negative results are noted where they exist

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## Open Questions

- comparability of baselines under matched capacity
- minimum data exposure for a usable signal
- confounders that would invalidate a naive comparison

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## Files

- `reading.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

Released under **apache-2.0**. Review the source-data terms separately when this repository is used with external datasets.