Audit Coverage Report — 2026-04-05
41,805 skills indexed, 2103 audited. Found 172 malicious, 1010 suspicious. Read full report Audit: clawsec.cc Search: clawsearch.cc Pre-install check: npx clawsearch-guard
41,805 skills indexed, 2103 audited. Found 172 malicious, 1010 suspicious.
Read full report
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Audit: clawsec.cc
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Search: clawsearch.cc
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Pre-install check: npx clawsearch-guard
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Online Drone Coverage of Targets on a Line
arXiv:2604.02491v1 Announce Type: new Abstract: We study a problem of online targets coverage by a drone or a sensor that is equipped with a camera or an antenna of fixed half-angle of view $\alpha$. The targets to be monitored appear at arbitrary positions on a line barrier in an online manner. When a new target appears, the drone has to move to a location that covers the newly arrived target, as well as already existing targets. The objective is to design a coverage algorithm that optimizes the total length of the drone's trajectory. Our results are reported in terms of an algorithm's competitive ratio, i.e., the worst-case ratio (over all inputs) of its cost to that of an optimal offline algorithm. In terms of upper bounds, we present three online algorithms and prove bounds on their co
Help Converts Newcomers, Not Veterans: Generalized Reciprocity and Platform Engagement on Stack Overflow
arXiv:2604.03209v1 Announce Type: cross Abstract: Generalized reciprocity -- the tendency to help others after receiving help oneself -- is widely theorized as a mechanism sustaining cooperation on online knowledge-sharing platforms. Yet robust empirical evidence from field settings remains surprisingly scarce. Prior studies relying on survey self-reports struggle to distinguish reciprocity from other prosocial motives, while observational designs confound reciprocity with baseline user activity, producing upward-biased estimates. We address these empirical challenges by developing a matched difference-in-differences survival analysis that leverages the temporal structure of help-seeking and help-giving on Stack Overflow. Using Cox proportional hazards models on over 21 million questions,
Generative AI Use in Professional Graduate Thesis Writing: Adoption, Perceived Outcomes, and the Role of a Research-Specialized Agent
arXiv:2604.02792v1 Announce Type: cross Abstract: This paper reports a survey of generative AI use among 83 MBA thesis students in Japan (target population 230; 36.1% response rate), conducted after thesis examiner evaluation. AI use was nearly universal: 95.2% reported at least some use and 77.1% heavy use. Students engaged AI across the full research-writing workflow - literature review, drafting, and consultation when stuck - reporting benefits centered on clearer argument and structure (82.3%), better revision quality (73.4%), and faster writing (70.9%), with a mean perceived quality improvement of 6.27 out of 7. Concerns about output accuracy (75.9%) and citation handling persisted alongside these gains. Among respondents who rated GAMER PAT, a research-specialized agent, against othe
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AirAsia X hikes ticket prices by 40%, cut capacity by 10% as Iran war hits fuel costs
Southeast Asia’s largest low-cost carrier AirAsia X said on Monday it was raising ticket prices by as much as 40 per cent and cutting routes to cushion the impact of the war on Iran, but stressed demand for flights remained high. The Malaysia-based no-frills airline said about 10 per cent of its overall flights had been cut so far. It has raised fuel surcharges by about 20 per cent, while fare prices have increased between 31 per cent and 40 per cent. Average jet fuel costs have soared to about...
Engineering Algorithms for Dynamic Greedy Set Cover
arXiv:2604.03152v1 Announce Type: new Abstract: In the dynamic set cover problem, the input is a dynamic universe of elements and a fixed collection of sets. As elements are inserted or deleted, the goal is to efficiently maintain an approximate minimum set cover. While the past decade has seen significant theoretical breakthroughs for this problem, a notable gap remains between theoretical design and practical performance, as no comprehensive experimental study currently exists to validate these results. In this paper, we bridge this gap by implementing and evaluating four greedy-based dynamic algorithms across a diverse range of real-world instances. We derive our implementations from state-of-the-art frameworks (such as GKKP, STOC 2017; SU, STOC 2023; SUZ, FOCS 2024), which we simplify
Online Drone Coverage of Targets on a Line
arXiv:2604.02491v1 Announce Type: new Abstract: We study a problem of online targets coverage by a drone or a sensor that is equipped with a camera or an antenna of fixed half-angle of view $\alpha$. The targets to be monitored appear at arbitrary positions on a line barrier in an online manner. When a new target appears, the drone has to move to a location that covers the newly arrived target, as well as already existing targets. The objective is to design a coverage algorithm that optimizes the total length of the drone's trajectory. Our results are reported in terms of an algorithm's competitive ratio, i.e., the worst-case ratio (over all inputs) of its cost to that of an optimal offline algorithm. In terms of upper bounds, we present three online algorithms and prove bounds on their co
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