Binaural Intensity Comparison in the Echolocating Bat using Synaptic Conductance. - Timothy K. Horiuchi; Chetan Bansal; Tarek M. Massoud (ISCAS, 2009)

Discovering Concrete Attacks on Website Authorization by Formal Analysis. - Chetan Bansal; Karthikeyan Bhargavan; Sergio Maffeis (CSF, 2012)

Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage. - Chetan Bansal; Karthikeyan Bhargavan; Antoine Delignat-Lavaud; Sergio Maffeis (POST, 2013)

Discovering concrete attacks on website authorization by formal analysis. - Chetan Bansal; Karthikeyan Bhargavan; Antoine Delignat-Lavaud; Sergio Maffeis (J. Comput. Secur., 2014)

Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing. - Chetan Bansal; Sören Preibusch; Natasa Milic-Frayling (SEC, 2015)

Hashtag Recommendation for Enterprise Applications. - Dhruv Mahajan 001; Vishwajit Kolathur; Chetan Bansal; Suresh Parthasarathy; Sundararajan Sellamanickam; S. Sathiya Keerthi; Johannes Gehrke (CIKM, 2016)

CloudSDV Enabling Static Driver Verifier Using Microsoft Azure. - Rahul Kumar 002; Thomas Ball 001; Jakob Lichtenberg; Nate Deisinger; Apoorv Upreti; Chetan Bansal (IFM, 2016)

Static Analysis Using the Cloud. - Rahul Kumar 002; Chetan Bansal; Jakob Lichtenberg (iFMCloud@IFM, 2016)

Building sankie: an AI platform for DevOps. - Rahul Kumar 002; Chetan Bansal; Chandra Shekhar Maddila; Nitin Sharma 004; Shawn Martelock; Ravi Bhargava (BotSE@ICSE, 2019)

Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. - Song Wang 009; Chetan Bansal; Nachiappan Nagappan; Adithya Abraham Philip (PROMISE, 2019)

WhoDo: automating reviewer suggestions at scale. - Sumit Asthana; Rahul Kumar 002; Ranjita Bhagwan; Christian Bird; Chetan Bansal; Chandra Shekhar Maddila; Sonu Mehta; Balasubramanyan Ashok (ESEC/SIGSOFT FSE, 2019)

Predicting pull request completion time: a case study on large scale cloud services. - Chandra Shekhar Maddila; Chetan Bansal; Nachiappan Nagappan (ESEC/SIGSOFT FSE, 2019)

The Usage of Web Search for Software Engineering. - Chetan Bansal; Thomas Zimmermann 001; Ahmed Hassan Awadallah; Nachiappan Nagappan (CoRR, 2019)

Analyzing Web Search Behavior for Software Engineering Tasks. - Nikitha Rao; Chetan Bansal; Thomas Zimmermann 001; Ahmed Hassan Awadallah; Nachiappan Nagappan (IEEE BigData, 2020)

Product Insights: Analyzing Product Intents in Web Search. - Nikitha Rao; Chetan Bansal; Subhabrata Mukherjee; Chandra Shekhar Maddila (CIKM, 2020)

An Empirical Study of Software Exceptions in the Field using Search Logs. - Foyzul Hassan; Chetan Bansal; Nachiappan Nagappan; Thomas Zimmermann 001; Ahmed Hassan Awadallah (ESEM, 2020)

Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost. - Shuvendu K. Lahiri; Akash Lal; Sridhar Gopinath; Alexander Nutz; Vladimir Levin; Rahul Kumar 002; Nate Deisinger; Jakob Lichtenberg; Chetan Bansal (FMCAD, 2020)

DeCaf: diagnosing and triaging performance issues in large-scale cloud services. - Chetan Bansal; Sundararajan Renganathan; Ashima Asudani; Olivier Midy; Mathru Janakiraman (ICSE (SEIP), 2020)

Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. - Sonu Mehta; Ranjita Bhagwan; Rahul Kumar 002; Chetan Bansal; Chandra Shekhar Maddila; Balasubramanyan Ashok; Sumit Asthana; Christian Bird; Aditya Kumar (NSDI, 2020)

Studying Ransomware Attacks Using Web Search Logs. - Chetan Bansal; Pantazis Deligiannis; Chandra Shekhar Maddila; Nikitha Rao (SIGIR, 2020)

Code Search Intent Classification Using Weak Supervision. - Nikitha Rao; Chetan Bansal; Joe Guan (CoRR, 2020)

Nudge: Accelerating Overdue Pull Requests Towards Completion. - Chandra Shekhar Maddila; Sai Surya Upadrasta; Chetan Bansal; Nachiappan Nagappan; Georgios Gousios; Arie van Deursen (CoRR, 2020)

Neural Knowledge Extraction From Cloud Service Incidents. - Manish Shetty; Chetan Bansal; Sumit Kumar; Nikitha Rao; Nachiappan Nagappan; Thomas Zimmermann 001 (ICSE (SEIP), 2021)

Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework. - Peeyush Kumar; Ranveer Chandra; Chetan Bansal; Shivkumar Kalyanaraman; Tanuja Ganu; Michael Grant (KDD, 2021)

Search4Code: Code Search Intent Classification Using Weak Supervision. - Nikitha Rao; Chetan Bansal; Joe Guan (MSR, 2021)

Mining Knowledge Graphs From Incident Reports. - Manish Shetty; Chetan Bansal (CoRR, 2021)

Large-scale Crash Localization using Multi-Task Learning. - Manish Shetty; Chetan Bansal; Suman Nath; Sean Bowles; Henry Wang; Ozgur Arman; Siamak Ahari (CoRR, 2021)

Large-scale intent analysis for identifying large-review-effort code changes. - Song Wang 009; Chetan Bansal; Nachiappan Nagappan (Inf. Softw. Technol., 2021)

Industry-Academia Research Collaborations During and After COVID-19. - Dusica Marijan; Chetan Bansal; Tamara Lopez (ACM SIGSOFT Softw. Eng. Notes, 2021)

How to fight production incidents?: an empirical study on a large-scale cloud service. - Supriyo Ghosh; Manish Shetty; Chetan Bansal; Suman Nath (SoCC, 2022)

Characterizing the Usage of CI Tools in ML Projects. - Dhia Elhaq Rzig; Foyzul Hassan; Chetan Bansal; Nachiappan Nagappan (ESEM, 2022)

DeepAnalyze: Learning to Localize Crashes at Scale. - Manish Shetty; Chetan Bansal; Suman Nath; Sean Bowles; Henry Wang; Ozgur Arman; Siamak Ahari (ICSE, 2022)

Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale. - Chandra Shekhar Maddila; Suhas Shanbhogue; Apoorva Agrawal; Thomas Zimmermann 001; Chetan Bansal; Nicole Forsgren; Divyanshu Agrawal; Kim Herzig; Arie van Deursen (ESEC/SIGSOFT FSE, 2022)

AutoTSG: learning and synthesis for incident troubleshooting. - Manish Shetty; Chetan Bansal; Sai Pramod Upadhyayula; Arjun Radhakrishna; Anurag Gupta (ESEC/SIGSOFT FSE, 2022)

Spot Virtual Machine Eviction Prediction in Microsoft Cloud. - Fangkai Yang; Bowen Pang; Jue Zhang; Bo Qiao 001; Lu Wang 029; Camille Couturier; Chetan Bansal; Soumya Ram; Si Qin; Zhen Ma; Iñigo Goiri; Eli Cortez; et al. (WWW (Companion Volume), 2022)

SoftNER: Mining knowledge graphs from cloud incidents. - Manish Shetty; Chetan Bansal; Sumit Kumar; Nikitha Rao; Nachiappan Nagappan (Empir. Softw. Eng., 2022)

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. - Fangkai Yang; Lu Wang 029; Zhenyu Xu; Jue Zhang; Liqun Li; Bo Qiao 001; Camille Couturier; Chetan Bansal; Soumya Ram; Si Qin; Zhen Ma; Íñigo Goiri; et al. (ASPLOS (3), 2023)

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. - Xiaoting Qin; Minghua Ma; Yuheng Zhao; Jue Zhang; Chao Du; Yudong Liu; Anjaly Parayil; Chetan Bansal; Saravan Rajmohan; Íñigo Goiri; Eli Cortez; Si Qin; et al. (DSN, 2023)

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. - Toufique Ahmed; Supriyo Ghosh; Chetan Bansal; Thomas Zimmermann 001; Xuchao Zhang; Saravan Rajmohan (ICSE, 2023)

Detection Is Better Than Cure: A Cloud Incidents Perspective. - Vaibhav Ganatra; Anjaly Parayil; Supriyo Ghosh; Yu Kang 006; Minghua Ma; Chetan Bansal; Suman Nath; Jonathan Mace (ESEC/SIGSOFT FSE, 2023)

AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure. - Pradeep Dogga; Chetan Bansal; Richard Costleigh; Gopinath Jayagopal; Suman Nath; Xuchao Zhang (USENIX ATC, 2023)

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis. - Dylan Zhang; Xuchao Zhang; Chetan Bansal; Pedro Henrique B. Las-Casas; Rodrigo Fonseca; Saravan Rajmohan (CoRR, 2023)

Nudge: Accelerating Overdue Pull Requests toward Completion. - Chandra Shekhar Maddila; Sai Surya Upadrasta; Chetan Bansal; Nachiappan Nagappan; Georgios Gousios; Arie van Deursen (ACM Trans. Softw. Eng. Methodol., 2023)

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. - Lu Wang 029; Mayukh Das; Fangkai Yang; Chao Du; Bo Qiao 001; Hang Dong 004; Chetan Bansal; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Qi Zhang 066 (CIKM, 2024)

Building AI Agents for Autonomous Clouds: Challenges and Design Principles. - Manish Shetty; Yinfang Chen; Gagan Somashekar; Minghua Ma; Yogesh Simmhan; Xuchao Zhang; Jonathan Mace; Dax Vandevoorde; Pedro Henrique B. Las-Casas; Shachee Mishra Gupta; Suman Nath; Chetan Bansal; et al. (SoCC, 2024)

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. - Pooja Srinivas; Fiza Husain; Anjaly Parayil; Ayush Choure; Chetan Bansal; Saravan Rajmohan (ICSE-SEIP, 2024)

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud. - Jovan Stojkovic; Pulkit A. Misra; Íñigo Goiri; Sam Whitlock; Esha Choukse; Mayukh Das; Chetan Bansal; Jason Lee; Zoey Sun; Haoran Qiu; Reed Zimmermann; Savyasachi Samal; et al. (ISCA, 2024)

Designing Cloud Servers for Lower Carbon. - Jaylen Wang; Daniel S. Berger; Fiodar Kazhamiaka; Celine Irvene; Chaojie Zhang; Esha Choukse; Kali Frost; Rodrigo Fonseca; Brijesh Warrier; Chetan Bansal; Jonathan Stern; Ricardo Bianchini; et al. (ISCA, 2024)

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. - Haozhe Li; Minghua Ma; Yudong Liu; Pu Zhao 004; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ISSRE, 2024)

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. - Yudong Liu; Minghua Ma; Pu Zhao 004; Tianci Li; Bo Qiao 001; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; et al. (ISSRE (Workshops), 2024)

Large Language Models Can Provide Accurate and Interpretable Incident Triage. - Zexin Wang; Jianhui Li; Minghua Ma; Ze Li 005; Yu Kang 006; Chaoyun Zhang; Chetan Bansal; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Changhua Pei; et al. (ISSRE, 2024)

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. - Zhaoyang Yu; Changhua Pei; Xin Wang 001; Minghua Ma; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Xidao Wen; Jianhui Li; Gaogang Xie; Dan Pei (KDD, 2024)

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. - Peng Xia 005; Ze Chen; Juanxi Tian; Yangrui Gong; Ruibo Hou; Yue Xu; Zhenbang Wu; Zhiyuan Fan; Yiyang Zhou; Kangyu Zhu; Wenhao Zheng; Zhaoyang Wang 004; et al. (NeurIPS, 2024)

X-Lifecycle Learning for Cloud Incident Management using LLMs. - Drishti Goel; Fiza Husain; Aditya Singh; Supriyo Ghosh; Anjaly Parayil; Chetan Bansal; Xuchao Zhang; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

Exploring LLM-Based Agents for Root Cause Analysis. - Devjeet Roy; Xuchao Zhang; Rashi Bhave; Chetan Bansal; Pedro Henrique B. Las-Casas; Rodrigo Fonseca; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. - Zhaoyang Yu; Minghua Ma; Chaoyun Zhang; Si Qin; Yu Kang 006; Chetan Bansal; Saravan Rajmohan; Yingnong Dang; Changhua Pei; Dan Pei; Qingwei Lin; Dongmei Zhang 001 (SIGSOFT FSE Companion, 2024)

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. - Xuchao Zhang; Supriyo Ghosh; Chetan Bansal; Rujia Wang; Minghua Ma; Yu Kang 006; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents. - Dylan Zhang; Xuchao Zhang; Chetan Bansal; Pedro Henrique B. Las-Casas; Rodrigo Fonseca; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

Dependency Aware Incident Linking in Large Cloud Systems. - Supriyo Ghosh; Karish Grover; Jimmy Wong; Chetan Bansal; Rakesh Namineni; Mohit Verma; Saravan Rajmohan (WWW (Companion Volume), 2024)

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. - Lu Wang 029; Mayukh Das; Fangkai Yang; Junjie Sheng; Bo Qiao 001; Hang Dong 004; Si Qin; Victor Rühle; Chetan Bansal; Eli Cortez; Íñigo Goiri; Saravan Rajmohan; et al. (CoRR, 2024)

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. - Lu Wang 029; Mayukh Das; Fangkai Yang; Chao Du; Bo Qiao 001; Hang Dong 004; Si Qin; Chetan Bansal; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2024)

Workload Intelligence: Punching Holes Through the Cloud Abstraction. - Lexiang Huang; Anjaly Parayil; Jue Zhang; Xiaoting Qin; Chetan Bansal; Jovan Stojkovic; Pantea Zardoshti; Pulkit A. Misra; Eli Cortez; Raphael Ghelman; Íñigo Goiri; Saravan Rajmohan; et al. (CoRR, 2024)

Towards Cloud Efficiency with Large-scale Workload Characterization. - Anjaly Parayil; Jue Zhang; Xiaoting Qin; Íñigo Goiri; Lexiang Huang; Timothy Zhu; Chetan Bansal (CoRR, 2024)

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. - Jun Liu; Chaoyun Zhang; Jiaxu Qian; Minghua Ma; Si Qin; Chetan Bansal; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2024)

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling. - Kunal Jain; Anjaly Parayil; Ankur Mallick; Esha Choukse; Xiaoting Qin; Jue Zhang; Íñigo Goiri; Rujia Wang; Chetan Bansal; Victor Rühle; Anoop Kulkarni; Steve Kofsky; et al. (CoRR, 2024)

Unveiling Context-Aware Criteria in Self-Assessing LLMs. - Taneesh Gupta; Shivam Shandilya; Xuchao Zhang; Supriyo Ghosh; Chetan Bansal; Huaxiu Yao; Saravan Rajmohan (CoRR, 2024)

Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC. - Aditya Soni; Mayukh Das; Anjaly Parayil; Supriyo Ghosh; Shivam Shandilya; Ching-An Cheng; Vishak Gopal; Sami Khairy; Gabriel Mittag; Yasaman Hosseinkashi; Chetan Bansal (CoRR, 2024)

Ensuring Fair LLM Serving Amid Diverse Applications. - Redwan Ibne Seraj Khan; Kunal Jain; Haiying Shen; Ankur Mallick; Anjaly Parayil; Anoop Kulkarni; Steve Kofsky; Pankhuri Choudhary; Renée St. Amant; Rujia Wang; Yue Cheng 001; Ali Raza Butt; et al. (CoRR, 2024)

SWEPO: Simultaneous Weighted Preference Optimization for Group Contrastive Alignment. - Taneesh Gupta; Rahul Madhavan; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan (CoRR, 2024)

REFA: Reference Free Alignment for multi-preference optimization. - Taneesh Gupta; Rahul Madhavan; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan (CoRR, 2024)

CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling. - Taneesh Gupta; Shivam Shandilya; Xuchao Zhang; Rahul Madhavan; Supriyo Ghosh; Chetan Bansal; Huaxiu Yao; Saravan Rajmohan (ACL (Findings), 2025)

Synergistic Weak-Strong Collaboration by Aligning Preferences. - Yizhu Jiao; Xuchao Zhang; Zhaoyang Wang 004; Yubo Ma; Zhun Deng; Rujia Wang; Chetan Bansal; Saravan Rajmohan; Jiawei Han 001; Huaxiu Yao (ACL (1), 2025)

Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms. - Benjamin Reidys; Pantea Zardoshti; Íñigo Goiri; Celine Irvene; Daniel S. Berger; Haoran Ma; Kapil Arya; Eli Cortez; Taylor Stark; Eugene Bak; Mehmet Iyigun; Stanko Novakovic; et al. (ASPLOS (1), 2025)

Performance Aware LLM Load Balancer for Mixed Workloads. - Kunal Jain; Anjaly Parayil; Ankur Mallick; Esha Choukse; Xiaoting Qin; Jue Zhang; Íñigo Goiri; Rujia Wang; Chetan Bansal; Victor Rühle; Anoop Kulkarni; Steve Kofsky; et al. (EuroMLSys, 2025)

CREAM: Consistency Regularized Self-Rewarding Language Models. - Zhaoyang Wang 004; Weilei He; Zhiyuan Liang; Xuchao Zhang; Chetan Bansal; Ying Wei; Weitong Zhang; Huaxiu Yao (ICLR, 2025)

Anyprefer: An Agentic Framework for Preference Data Synthesis. - Yiyang Zhou; Zhaoyang Wang 004; Tianle Wang 009; Shangyu Xing; Peng Xia 005; Bo Li; Kaiyuan Zheng; Zijian Zhang 010; Zhaorun Chen; Wenhao Zheng; Xuchao Zhang; Chetan Bansal; et al. (ICLR, 2025)

Time Warp: The Gap Between Developers' Ideal vs Actual Workweeks in an AI-Driven Era. - Sukrit Kumar; Drishti Goel; Thomas Zimmermann 001; Brian Houck; Balasubramanyan Ashok; Chetan Bansal (SEIP@ICSE, 2025)

Automated Service Design with Cerulean (Project Showcase). - Vaastav Anand; Alok Gautam Kumbhare; Celine Irvene; Chetan Bansal; Gagan Somashekar; Jonathan Mace; Pedro Henrique B. Las-Casas; Ricardo Bianchini; Rodrigo Fonseca (AIOps, 2025)

Verifiable Format Control for Large Language Model Generations. - Zhaoyang Wang 004; Jinqi Jiang; Huichi Zhou; Wenhao Zheng; Xuchao Zhang; Chetan Bansal; Huaxiu Yao (NAACL (Findings), 2025)

Towards Workload-aware Cloud Efficiency: A Large-scale Empirical Study of Cloud Workload Characteristics. - Anjaly Parayil; Jue Zhang; Xiaoting Qin; Íñigo Goiri; Lexiang Huang; Timothy Zhu; Chetan Bansal (ICPE, 2025)

AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds. - Yinfang Chen; Manish Shetty; Gagan Somashekar; Minghua Ma; Yogesh Simmhan; Jonathan Mace; Chetan Bansal; Rujia Wang; Saravan Rajmohan (CoRR, 2025)

Towards Efficient Large Multimodal Model Serving. - Haoran Qiu; Anish Biswas; Zihan Zhao; Jayashree Mohan; Alind Khare; Esha Choukse; Íñigo Goiri; Zeyu Zhang 005; Haiying Shen; Chetan Bansal; Ramachandran Ramjee; Rodrigo Fonseca (CoRR, 2025)

Intent-based System Design and Operation. - Vaastav Anand; Yichen Li; Alok Gautam Kumbhare; Celine Irvene; Chetan Bansal; Gagan Somashekar; Jonathan Mace; Pedro Henrique B. Las-Casas; Rodrigo Fonseca (CoRR, 2025)

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale. - Shashwat Jaiswal; Kunal Jain; Yogesh Simmhan; Anjaly Parayil; Ankur Mallick; Rujia Wang; Renée St. Amant; Chetan Bansal; Victor Rühle; Anoop Kulkarni; Steve Kofsky; Saravan Rajmohan (CoRR, 2025)

AMPO: Active Multi-Preference Optimization. - Taneesh Gupta; Rahul Madhavan; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan (CoRR, 2025)

An Empirical Study of Production Incidents in Generative AI Cloud Services. - Haoran Yan; Yinfang Chen; Minghua Ma; Ming Wen 001; Shan Lu 001; Shenglin Zhang; Tianyin Xu; Rujia Wang; Chetan Bansal; Saravan Rajmohan; Chaoyun Zhang; Dongmei Zhang 001 (CoRR, 2025)

eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization. - Drishti Goel; Raghav Magazine; Supriyo Ghosh; Akshay Nambi 001; Prathamesh Deshpande; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan (CoRR, 2025)