# AbridgeKV: Compressing Long Reasoning into the KV Cache of Learned Pause Tokens

Authors: Jack Cai, Lijie Yang, Vasilis Kontonis, Dimitris Papailiopoulos, Shivam Garg.

Compresses each completed block of generated reasoning into the key/value cache of learned pause tokens, then discards the block's original cache. Later tokens attend to the compact replacement.

First public: 2026-10-07.
ArXiv initial submission: 2026-10-07.

[Original paper](https://arxiv.org/abs/2610.20641) · [Reading-list entry](https://latent-implicit-thinking.github.io/papers/2610.20641/)
[Preprint BibTeX](https://latent-implicit-thinking.github.io/papers/2610.20641/citation.bib) · [Preprint CSL-JSON](https://latent-implicit-thinking.github.io/papers/2610.20641/citation.csl.json) · [JSON record](https://latent-implicit-thinking.github.io/papers/2610.20641/record.json)

## Approaches

- [Thinking tokens](https://latent-implicit-thinking.github.io/topics/thinking-tokens/): Give a model extra tokens for computation, such as pauses, filler symbols, or learned planning tokens. These tokens need not spell out the solution.

Summary and categories are editorial. Read the original paper to verify claims and limitations. A citation to a paper does not, by itself, establish that a later method builds on it.

Reading-list version 0.9.5; literature checked through 2026-10-18.