KG-AST for Cheaper CI/CD: Budgeted Test Selection and AI Bug Review
arXiv:2611.06950v1 Announce Type: new Abstract: Continuous integration and AI-assisted review spend the same budget on every commit, although few commits introd…
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arXiv:2611.06950v1 Announce Type: new Abstract: Continuous integration and AI-assisted review spend the same budget on every commit, although few commits introd…
arXiv:2611.06948v1 Announce Type: new Abstract: Combining estimates can reduce individual prediction errors, but an ensemble may also dilute an unusually accura…
arXiv:2611.06947v1 Announce Type: new Abstract: Developers who upgrade a Python audio library need to know what changed in the code they import and whether the …
arXiv:2611.06946v1 Announce Type: new Abstract: Several recent systems add a layer above the coding-agent harness that organises many agent runs into continuous…
arXiv:2611.06939v1 Announce Type: new Abstract: Automated testing of mobile applications remains challenging when realistic user interactions must be reproduced…
arXiv:2611.06922v1 Announce Type: new Abstract: LLM agents are increasingly used for black-box mobile application testing, where the ultimate goal is the compre…
arXiv:2611.06921v1 Announce Type: new Abstract: Generative AI is making software implementation faster, but not necessarily better architected. Most current Gen…
arXiv:2610.38020v2 Announce Type: replace Abstract: It was recently shown (arXiv:2610.09618) that the infimum of the approximation ratios of deterministic const…
arXiv:2609.03315v2 Announce Type: replace Abstract: Existing concurrency control protocols either introduce nondeterminism, resulting in a serial execution-repl…
arXiv:2608.01651v2 Announce Type: replace Abstract: Emerging LLMs increasingly interleave full attention with recurrent linear attention to reduce long-context …
arXiv:2604.15279v2 Announce Type: replace Abstract: Hybrid High-performance Computing (HPC)-quantum workloads based on circuit cutting decompose large quantum c…
arXiv:2603.10342v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly deployed as AI agents that operate in short reasoning-action l…
arXiv:2509.26092v3 Announce Type: replace Abstract: Distributed deep learning is critical for training convolutional neural network (CNN) models on large-scale …
arXiv:2502.21012v3 Announce Type: replace Abstract: Unsupervised image anomaly detection (UAD) has become a critical process in industrial and medical applicati…
arXiv:2611.08363v1 Announce Type: cross Abstract: Quantization reduces the memory and bandwidth demands of large language model (LLM) inference but can degrade …
arXiv:2611.08307v1 Announce Type: cross Abstract: Diffusion language models can write many tokens per step, but must choose which tokens are safe to commit toge…
arXiv:2611.08306v1 Announce Type: cross Abstract: We present \textsc{Ginger}, a state-of-the-art open-source C++ library for graph-based approximate nearest nei…
arXiv:2611.08083v1 Announce Type: cross Abstract: Replicated data types providing strong eventual consistency offer a principled foundation for developing decen…
arXiv:2611.07164v1 Announce Type: cross Abstract: Provenance Identity Continuity (PIC) represents an authority-use event as an operation/resource behavior situa…
arXiv:2611.07159v1 Announce Type: cross Abstract: Proof-of-Possession (PoP) establishes that an executor controls an artifact (key, token, credential, or capabi…