cyberintel.kalymoon.com · 4861 articles · updated every 4 hours · grows forever
arXiv:2604.22428v1 Announce Type: new Abstract: Predicting individual cognitive decline in Alzheimer's disease (AD) is difficult due to the heterogeneity of disease progression. Reliable clinical tool…
arXiv:2604.22411v1 Announce Type: new Abstract: Even when decoding with temperature $T=0$, large language models (LLMs) can produce divergent outputs for identical inputs. Recent work by Thinking Mach…
arXiv:2604.22273v1 Announce Type: new Abstract: Iterative self-correction is widely used in agentic LLM systems, but when repeated refinement helps versus hurts remains unclear. We frame self-correcti…
arXiv:2604.22119v1 Announce Type: new Abstract: As reasoning capacity and deployment scope grow in tandem, large language models (LLMs) gain the capacity to engage in behaviors that serve their own ob…
arXiv:2604.22085v1 Announce Type: new Abstract: The transition from stateless language model inference to persistent, multi session autonomous agents has revealed memory to be a primary architectural …
arXiv:2604.22080v1 Announce Type: new Abstract: LLM-based agents are rapidly being adopted for scientific data analysis, automating tasks once limited by human time and expertise. This capability is o…
arXiv:2604.22026v1 Announce Type: new Abstract: AI research pipelines now produce a growing share of publishable academic output, including work that meets existing peer-review standards for quality a…
arXiv:2604.21965v1 Announce Type: new Abstract: Recent work has used LLM agents to reproduce empirical social science results with access to both the data and code. We broaden this scope by asking: Ca…
arXiv:2604.21937v1 Announce Type: new Abstract: Computational drug discovery, particularly the complex workflows of drug molecule screening and optimization, requires orchestrating dozens of specializ…
arXiv:2604.21936v1 Announce Type: new Abstract: Medical imaging research is increasingly shifting from controlled benchmark evaluation toward real-world clinical deployment. In such settings, applying…
arXiv:2604.21935v1 Announce Type: new Abstract: Although language models demonstrate remarkable proficiency on mathematical benchmarks, it remains unclear whether this reflects true mathematical reaso…
arXiv:2603.00178v2 Announce Type: replace Abstract: Process attestation systems verify that a continuous physical process, such as human authorship, actually occurred, rather than merely checking syst…
arXiv:2603.00177v2 Announce Type: replace Abstract: The proliferation of AI-generated text has intensified the need for reliable authorship verification, yet current output-based methods are increasin…
arXiv:2602.23560v2 Announce Type: replace Abstract: Tor onion services rely on long-lived introduction circuits to support anonymous rendezvous between clients and services. Although Tor incorporates …
arXiv:2602.12260v2 Announce Type: replace Abstract: Decentralized protocols claim immutable, rule-based execution, yet many embed emergency mechanisms such as chain-level freezes, protocol pauses, and…
arXiv:2602.02689v2 Announce Type: replace Abstract: We propose Eidolon, a post-quantum signature scheme grounded on the NP-complete k-colorability problem. Our construction generalizes the Goldreich-M…
arXiv:2601.03294v2 Announce Type: replace Abstract: LLM-based agents are increasingly deployed to autonomously solve complex tasks, raising urgent needs for IP protection and regulatory provenance. Wh…
arXiv:2512.05707v2 Announce Type: replace Abstract: We evaluate the effectiveness of filtering child images from training datasets of text-to-image models to prevent model misuse to create child sexua…
arXiv:2511.17283v2 Announce Type: replace Abstract: With the rapid growth of IoT, secure and efficient mesh networking has become essential. Thread has emerged as a key protocol, widely used in smart-…
arXiv:2510.21236v3 Announce Type: replace Abstract: Large Language Models (LLMs) have evolved into AI agents that interact with external tools and environments to perform complex tasks. The Model Cont…
arXiv:2507.03014v2 Announce Type: replace Abstract: Large language models (LLMs) face significant copyright and intellectual property challenges as the cost of training increases and model reuse becom…
arXiv:2506.17299v2 Announce Type: replace Abstract: As large language models (LLMs) become increasingly deployed in safety-critical applications, the lack of systematic methods to assess their vulnera…
arXiv:2505.12296v2 Announce Type: replace Abstract: Our evaluation shows that PoLO achieves \textbf{99\%} watermark detection accuracy for ownership verification, while preserving data privacy and cut…
arXiv:2604.22639v1 Announce Type: new Abstract: Malware development and detection have undergone significant changes in recent years as modern concepts, such as machine learning, have been used for bo…