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🔍 sujit ghosh 📂 Computer Science
Showing 421 results for "sujit ghosh" in Computer Science
Computer Science Preprint PDF DOI

Back to the Future: Rethinking Endorsement in Order-Execute Blockchains

Rongji Huang, Yifeng Ye, Gerui Wang, Mingchao Wan, Yuxing Duan, Jingjing Zhang, Guangtao Xue, Shengyun Liu · 2026

Due to regulatory compliance and governance management, modern (permissioned) blockchains require flexible endorsement, which allows the endorsement policy for each contract or state object to be indi…

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Computer Science Preprint PDF DOI

Ghost in the Agent: Redefining Information Flow Tracking for LLM Agents

Yuandao Cai, Wensheng Tang, Cheng Wen, Shengchao Qin · 2026

Autonomous Large Language Model (LLM) agents are increasingly deployed to conduct complex tasks by interacting with external tools, APIs, and memory stores. However, processing untrusted external data…

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Computer Science Preprint PDF DOI

Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS

Luca Pennati, Andong Hu, Ivy Peng, Lukas Mullender, Stefano Markidis · 2026

GROMACS is a de-facto standard for classical Molecular Dynamics (MD). The rise of AI-driven interatomic potentials that pursue near-quantum accuracy at MD throughput now poses a significant challenge:…

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Computer Science Preprint PDF DOI

Android Instrumentation Testing in Continuous Integration: Practices, Patterns, and Performance

Hamid Parsazadeh, Taher A. Ghaleb, Safwat Hassan · 2026

Android instrumentation tests (end-to-end tests that run on a device or emulator) can catch problems that simpler tests miss. However, running these tests automatically in continuous integration (CI) …

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Computer Science Preprint PDF DOI

AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing Commits

Yunbo Lyu, Jieke Shi, Hong Jin Kang, Ratnadira Widyasari, Junda He, Yuqing Niu, Chengran Yang, Junkai Chen, Zhou Yang, Julia Lawall, David Lo · 2026

The SZZ algorithm is the dominant technique for identifying bug-inducing commits and underpins many software engineering tasks, such as defect prediction and vulnerability analysis. Despite numerous v…

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Computer Science Preprint PDF DOI

Ghost Framing Theory: Exploring the role of generative AI in new venture rhetorical legitimation

Greg Nyilasy · 2026

Responding to the surging but largely invisible use of generative AI in entrepreneurial framing, I advance Ghost Framing Theory (GFT) to explain how hybrid founder- and investor-genAI ensembles co-pro…

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Computer Science Preprint PDF DOI

Skill-Adaptive Ghost Instructors: Enhancing Retention and Reducing Over-Reliance in VR Piano Learning

Tzu-Hsin Hsieh, Cassandra Michelle Stefanie Visser, Elmar Eisemann, Ricardo Marroquim · 2026

Motor-skill learning systems in XR rely on persistent cues. However, constant cueing can induce overreliance and erode memorization and skill transfer. We introduce a skill-adaptive, dynamically trans…

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Computer Science Preprint PDF DOI

The Ghost in the Datacenter: Link Flapping, Topology Knowledge Failures, and the FITO Category Mistake

Paul Borrill · 2026

Every link disconnection or flap in a datacenter corrupts the network's self-knowledge -- its graph. We call this corruption a ghost: a node that appears reachable but is not, a link that reports "up"…

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Computer Science Preprint PDF DOI

The Ghost in the Grammar: Methodological Anthropomorphism in AI Safety Evaluations

Mariana Lins Costa · 2026

This essay offers a philosophical analysis of the field of AI safety based on recent technical reports, with particular focus on Anthropic's study on "agentic misalignment" in frontier language models…

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Computer Science Preprint PDF DOI

A Morton-Type Space-Filling Curve for Pyramid Subdivision and Hybrid Adaptive Mesh Refinement

David Knapp, Johannes Albrecht Holke, Thomas Spenke, Carsten Burstedde · 2026

The forest-of-refinement-trees approach allows for dynamic adaptive mesh refinement (AMR) at negligible cost. While originally developed for quadrilateral and hexahedral elements, previous work establ…

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Computer Science Preprint PDF DOI

"It's like a pet...but my pet doesn't collect data about me": Multi-person Households' Privacy Design Preferences for Household Robots

Jennica Li, Shirley Zhang, Dakota Sullivan, Bengisu Cagiltay, Heather Kirkorian, Bilge Mutlu, Kassem Fawaz · 2026

Household robots boasting mobility, more sophisticated sensors, and powerful processing models have become increasingly prevalent in the commercial market. However, these features may expose users to …

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Computer Science Preprint PDF DOI

The Shadow Boss: Identifying Atomized Manipulations in Agentic Employment of XR Users using Scenario Constructions

Lik-Hang Lee · 2026

The emerging paradigm of ``Agentic Employment" is a labor model where autonomous AI agents, acting as economic principals rather than mere management tools, directly hire, instruct, and pay human work…

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Computer Science Preprint PDF DOI

How to Train Your Filter: Should You Learn, Stack or Adapt?

Diandre Miguel Sabale, Wolfgang Gatterbauer, Prashant Pandey · 2026

Filters are ubiquitous in computer science, enabling space-efficient approximate membership testing. Since Bloom filters were introduced in 1970, decades of work improved their space efficiency and pe…

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Computer Science Preprint PDF DOI

Independence-Number Parameterized Space Complexity for Directed Connectivity Certificate

Ho-Lin Chen, Tsun Ming Cheung, Peng-Ting Lin, Meng-Tsung Tsai · 2026

We study the space complexity of computing a sparse subgraph of a directed graph that certifies connectivity in the streaming and distributed models. Formally, for a directed graph $G=(V,A)$ and $k\in…

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Computer Science Preprint PDF DOI

The Neurosymbolic Frontier of Nonuniform Ellipticity: Formalizing Sharp Schauder Theory via Topos-Theoretic Reasoning Models

Suyash Mishra · 2026

This white paper presents a critical synthesis of the recent breakthrough in nonuniformly elliptic regularity theory and the burgeoning field of neurosymbolic large reasoning models (LRMs). We explore…

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Computer Science Preprint PDF DOI

GhostCite: A Large-Scale Analysis of Citation Validity in the Age of Large Language Models

Zuyao Xu, Yuqi Qiu, Lu Sun, FaSheng Miao, Fubin Wu, Xinyi Wang, Xiang Li, Haozhe Lu, ZhengZe Zhang, Yuxin Hu, Jialu Li, Jin Luo, Feng Zhang, Rui Luo, Xinran Liu, Yingxian Li, Jiaji Liu · 2026

Citations provide the basis for trusting scientific claims; when they are invalid or fabricated, this trust collapses. With the advent of Large Language Models (LLMs), this risk has intensified: LLMs …

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Computer Science Preprint PDF DOI

Defusing Logic Bombs in Symbolic Execution with LLM-Generated Ghost Code

Dimitrios Stamatios Bouras, Sergey Mechtaev · 2026

Symbolic execution is a powerful program analysis technique, but its effectiveness is fundamentally limited by solver-hostile program fragments, complex numerical reasoning, and unbounded heap structu…

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Computer Science Preprint PDF DOI

HyEm: Query-Adaptive Hyperbolic Retrieval for Biomedical Ontologies via Euclidean Vector Indexing

Ou Deng, Shoji Nishimura, Atsushi Ogihara, Qun Jin · 2026

Retrieval-augmented generation (RAG) for biomedical knowledge faces a hierarchy-aware ontology grounding challenge: resources like HPO, DO, and MeSH use deep ``is-a" taxonomies, yet production stacks …

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Computer Science Preprint PDF DOI

Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD

Pradip Kunwar, Minh Vu, Maanak Gupta, Manish Bhattarai · 2026

Fine-tuning large language models on sensitive data poses significant privacy risks, as membership inference attacks can reveal whether individual records were used during training. While Differential…

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Computer Science Preprint PDF DOI

XTrace: A Non-Invasive Dynamic Tracing Framework for Android Applications in Production

Qi Hu, Jiangchao Liu, Xin Yu, Lin Zhang, Edward Jiang · 2025

As the complexity of mobile applications grows exponentially and the fragmentation of user device environments intensifies, ensuring online application stability faces unprecedented challenges. Tradit…

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