Verified86%Harbor: pendingSafety & AlignmentAgentic / Tool UseCoding

SABER

Synthetic Attribute Binding Evaluation for Representations

SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces SABER is the code release for the paper.

How to run

ltb · saber
$ npm i -g lettokenburn-cli
$ ltb bench info saber

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

8 sourced entries
HarnessSourceConfidenceLink
PE-Core-bigG-14-44841.5N/AIndependentmediumOct 15, 2026arxiv.org
LABCLIP ViT-B/3238.1N/AIndependentmediumOct 15, 2026arxiv.org
CLIP ViT-B/3238.0N/AIndependentmediumOct 15, 2026arxiv.org
Qwen3-VL-Embedding-8B37.8N/AIndependentmediumOct 15, 2026arxiv.org
READ-CLIP ViT-B/3237.7N/AIndependentmediumOct 15, 2026arxiv.org
LamRA-Ret37.3N/AIndependentmediumOct 15, 2026arxiv.org
TripletCLIP ViT-B/3235.8N/AIndependentmediumOct 15, 2026arxiv.org
Qwen3-VL-Embedding-2B34.0N/AIndependentmediumOct 15, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces

SABER is the code release for the paper. It includes the benchmark tasks, sandbox runtime, judging pipeline, and baseline reproduction utilities used to evaluate operational safety in stateful project workspaces.

What is included

tasks/: benchmark task definitions and metadata run_osbench.py, judge_osbench.py: historical inference and judging entry points sandbox_shell.py…