Introducing EdgeRock · Open weights. Fixed-capacity history.

Meet the model ↗
Research / Papers + perspectives

Open questions.
Concrete work.

Explore the architecture, inspect the evidence, and follow the ideas behind World-State intelligence.

01 / Papers + documents

Read the research.

Technical report / English / 24 pages

EdgeRock: Strong Reasoning at Constant Memory

Our first 4B World-State model. Covers Rock Memory Anchors (RMA), text and visual evaluations, memory behavior, ablations and H800 execution measurements.

ArchitectureText + visionEvaluation
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Technical whitepaper / 中文 / 13 pages

岩芯矩阵技术白皮书

The broader Rock Matrix research program: World-State, EdgeRock, DiffusionRock and SiliconRock. Connects bounded model memory with generation and specialized hardware.

从固定历史状态出发,讨论模型能力、推理系统与专用计算架构的协同设计。

World-StateResearch agenda
阅读白皮书
Technical report / 中文 / 23 pages

EdgeRock 技术报告

The Chinese report for readers who want to study the model, experiments and implementation in Chinese.

包含模型架构、训练方法、能力评估、固定容量记忆与系统性能分析。

中文EdgeRock-4B
阅读报告
Original preprint / arXiv

YANchor-4B

The original preprint appears under the earlier YANchor-4B name. For current EdgeRock branding and the expanded technical presentation, use the reports above.

Original preprintEarlier name
View arXiv
02 / How to read the results

Keep the conditions
next to the claim.

A result is most useful when you know exactly what it measures.

01 / Capability

Ask which task.

Benchmark scores describe particular datasets and decoding protocols. AIME retention does not imply identical retention on coding, science or vision.

Explore capability results
02 / Memory

Ask which bytes.

Attention KV, recurrent history and total device allocation are different quantities. The 72 MiB figure is an attention-cache configuration calculation.

Explore memory accounting
03 / Performance

Ask which workload.

Batch throughput and single-request latency serve different needs. Input length, output length, state precision and prompt reuse belong beside the result.

Explore runtime results
03 / Reproduce + extend

Take the work
further.

Inspect the runtime, choose a model package and evaluate it on your workload. The developer guide links each deployment path to its supported environment.

A research question worth sharing?

We welcome conversations about bounded memory, long-running agents, multimodal reasoning and model-to-hardware design.

Contact the research team