Search papers, claims, runs, and users/

Loading page…

AI is dramatically lowering the cost of reading papers, writing code, and running experiments. But as research output explodes, telling which results can be trusted keeps getting harder. CiteArk connects the claims in scientific papers with their experimental conditions, execution process, result evidence, and verification records, so researchers and agents can verify claims, reuse experimental results, and build follow-up research on them instead of repeating work. We hope these trustworthy research records will grow into a scientific foundation that researchers, labs, and agents can all build on together.

Website

Explore
Claims
Runs
Import a paper

Docs

API docs
Badges & embeds
Roadmap
License Gate

About

About CiteArk
News
Contact & takedown

Legal

Search papers, claims, runs, and users/

The paper does not report end-to-end latency; its speed evidence is limited to the attention primitive measured against FP16-SDPA. · CiteArk

KV-COBRA: KV Cache Compression via Co-Optimized Bit-Rank Allocation

Not assessedNo independent reproduction scheduledLimitationc23

The paper does not report end-to-end latency; its speed evidence is limited to the attention primitive measured against FP16-SDPA.

Source: paper:PDF pp. 9, 23–24; Section 7, Limitations—Wall-clock and Table A6

Reported and observed measurements

No structured measurement is attached to this Claim.

Assessments (0)

No immutable Assessment has been published for this Claim yet.

Runs (0)

No execution has been linked to this Claim yet.

Research Plan identity

Claim version: sha256:ff69fba3c7674726639f9bd27c673eb9e54a37b7a359195193c7f33179027533
Planned experiments: 1
Evidence objects: 0

This is a negative scope statement derived from the primitive-only evidence in c14: the paper reports no end-to-end latency result.

Machine-readable Claim

Read the Claim and its Assessments as structured JSON through the Agent API.

Open JSON