[{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.29958","version":1,"is_update":0,"title":"Multi-Dimensional Matching","summary":"We study a matching mechanism where agents and objects are described by features rather than complete rankings. A single spectral projection reduces the problem to a one-dimensional sort, computable in O(N log N) time.","ai_subtopic":"agents","categories":"cs.GT,cs.LG,cs.MA,econ.EM,econ.TH","n_categories":5,"authors":"Irene Aldridge","lead_author":"Irene Aldridge","n_authors":1,"affiliations":"","announced":"2026-09-24T15:14:18+0000","days_since_announced":1.0,"interest_score":3.894,"velocity_rank":1,"arxiv_url":"https://arxiv.org/abs/2609.29958","comment":"20 pages"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.29145","version":1,"is_update":0,"title":"Claim-Gated Source-Risk Auditing for Generative Search","summary":"A generative search answer can cite a supported passage yet omit a source relationship that changes its interpretation. We specify a claim-gated audit of the query-source-answer tuple.","ai_subtopic":"evals","categories":"cs.AI,cs.CC,cs.CE,cs.ET,cs.IR","n_categories":5,"authors":"Kainan Zhou; Chuhong Xu; Gangzhen Qian; Zhaoyi Li","lead_author":"Kainan Zhou","n_authors":4,"affiliations":"","announced":"2026-09-24T07:22:14+0000","days_since_announced":1.0,"interest_score":3.894,"velocity_rank":2,"arxiv_url":"https://arxiv.org/abs/2609.29145","comment":"International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2026)"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.30227","version":1,"is_update":0,"title":"To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech","summary":"Online misinformation increasingly appears in spoken formats such as news clips, podcasts, interviews, political speeches, and social media videos, creating a need for fact-checking systems that can verify claims directly from speech. We introduce VeriSpeak, a probe benchmark for studying speech-based fact…","ai_subtopic":"reasoning","categories":"cs.AI,cs.CL,cs.LG,cs.SD","n_categories":4,"authors":"Debajyoti Mazumder; Mamta; Abhirama Subramanyam Penamakuri","lead_author":"Debajyoti Mazumder","n_authors":3,"affiliations":"","announced":"2026-09-24T17:50:40+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":3,"arxiv_url":"https://arxiv.org/abs/2609.30227","comment":"Accepted to EMNLP (Main) 2026"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.30226","version":1,"is_update":0,"title":"PoEM: Predicting RL Outcomes from Existing Policies","summary":"Foundation models are post-trained with reinforcement learning (RL) to maximize specific rewards, such as human alignment, correctness, or instruction following. This post-training process is computationally intensive, sometimes unstable, and has to be run from scratch every time the reward model changes or when we…","ai_subtopic":"llm","categories":"cs.AI,cs.CL,cs.CV,cs.LG","n_categories":4,"authors":"Kimia Hamidieh; Giannis Daras; Antonio Torralba","lead_author":"Kimia Hamidieh","n_authors":3,"affiliations":"","announced":"2026-09-24T17:50:25+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":4,"arxiv_url":"https://arxiv.org/abs/2609.30226","comment":""},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.30215","version":1,"is_update":0,"title":"A Nearly Quadratic Lower Bound for Linear Optimization over Convex Bodies in the Membership Oracle Model","summary":"We prove nearly quadratic lower bounds for randomized algorithms for linear optimization and uniform sampling over convex bodies in the membership oracle model. For linear optimization, this matches the known nearly quadratic upper bound up to a polylog factor in the dimension.","ai_subtopic":"ml-theory","categories":"cs.DS,cs.LG,math.FA,math.OC","n_categories":4,"authors":"Santosh S. Vempala","lead_author":"Santosh S. Vempala","n_authors":1,"affiliations":"","announced":"2026-09-24T17:45:58+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":5,"arxiv_url":"https://arxiv.org/abs/2609.30215","comment":""},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.30167","version":1,"is_update":0,"title":"Do Audio Language Models Hear and Read Distinctive Features Alike?","summary":"Audio language models pass speech and text through a single decoder. We ask whether that decoder represents a distinctive feature in the same direction when a phoneme is heard and when it is read.","ai_subtopic":"llm","categories":"cs.CL,cs.LG,cs.SD,stat.AP","n_categories":4,"authors":"Yuanhao Chen; Peter Chin","lead_author":"Yuanhao Chen","n_authors":2,"affiliations":"","announced":"2026-09-24T17:21:16+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":6,"arxiv_url":"https://arxiv.org/abs/2609.30167","comment":""},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.30147","version":1,"is_update":0,"title":"GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI","summary":"Large Language Models (LLMs) typically exhibit a performance profile where reliability degrades as task complexity increases. We address the challenge of generating high-quality natural language executable plans for complex tasks by introducing , a strategy-aware, multi-stage planning framework.","ai_subtopic":"agents","categories":"cs.AI,cs.CL,cs.LG,cs.MA","n_categories":4,"authors":"Arunabh Srivastava; Mohammad A.; Khojastepour; Srimat Chakradhar; Sennur Ulukus","lead_author":"Arunabh Srivastava","n_authors":5,"affiliations":"Amir","announced":"2026-09-24T17:11:35+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":7,"arxiv_url":"https://arxiv.org/abs/2609.30147","comment":"Accepted at the Second Workshop for Research on Agent Language Models (REALM) at EMNLP 2026"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.30104","version":1,"is_update":0,"title":"MQSS-Selector: RL-Guided Pass Selection for an MLIR Compilation Pipeline","summary":"High Performance Computing (HPC) and Quantum Computing (QC) systems are increasingly converging towards unified High Performance Computing-Quantum Computing (HPCQC) infrastructures, driven by a growing need to bridge classical and quantum workflows, which affects all levels of the system stack, from the hardware to…","ai_subtopic":"rl","categories":"cs.DC,cs.LG,cs.PL,quant-ph","n_categories":4,"authors":"Andre Youssefi; Ercüment Kaya; Minh Chung; Jorge Echavarria; Laura B. Schulz; Martin Schulz","lead_author":"Andre Youssefi","n_authors":6,"affiliations":"Leibniz Supercomputing Centre|Munich Quantum Valley|Argonne National Laboratory","announced":"2026-09-24T16:46:49+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":8,"arxiv_url":"https://arxiv.org/abs/2609.30104","comment":"11 pages, 5 figures, 1 table"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.30058","version":1,"is_update":0,"title":"Can Labor Markets Function in the Age of AI? The Evaluation Bottleneck in Hiring","summary":"AI-assisted job-search tools have become increasingly popular by making it easier to find and apply to jobs. But by making it easier for applicants to generate and tailor application materials, they can also reduce how informative those materials are about applicant fit.","ai_subtopic":"evals","categories":"cs.AI,cs.CY,cs.GT,econ.TH","n_categories":4,"authors":"Itai Ashlagi; Ramesh Johari; Jon Kleinberg; Anushka Murthy","lead_author":"Itai Ashlagi","n_authors":4,"affiliations":"","announced":"2026-09-24T16:16:05+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":9,"arxiv_url":"https://arxiv.org/abs/2609.30058","comment":""},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.30037","version":1,"is_update":0,"title":"AERIAL: Adversarial Evaluation of Robustness in Accuracy-Preserving Low-Precision EEG Decoders","summary":"Deployment-oriented compression is attractive for resource-constrained brain--computer interfaces (BCIs), but whether it changes adversarial vulnerability remains unclear. On BCI Competition IV-2a, we compare 32-bit floating-point (FP32) EEGNet and ShallowConvNet models with global magnitude pruning and simulated INT8…","ai_subtopic":"evals","categories":"cs.CR,cs.CV,cs.LG,eess.SP","n_categories":4,"authors":"Saim Rehman; Muhammad Shafique","lead_author":"Saim Rehman","n_authors":2,"affiliations":"","announced":"2026-09-24T16:07:01+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":10,"arxiv_url":"https://arxiv.org/abs/2609.30037","comment":"Submitted to IEEE ICASSP 2027, 5 pages"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.29999","version":1,"is_update":0,"title":"GHOST-Q: Towards Studying Grounding Hallucinations Overlooked Under Same-score TradeOffs in Quantized VLMS","summary":"Post-training quantization of vision--language models (VLMs) is typically assessed through aggregate task accuracy and memory savings, but preserving a headline score does not guarantee preservation of visual grounding behavior. We present GHOST-Q, a cross-precision controlled evaluation of three 8B VLM families under…","ai_subtopic":"evals","categories":"cs.AI,cs.CV,cs.LG,cs.MM","n_categories":4,"authors":"Saim Rehman; Muhammad Shafique","lead_author":"Saim Rehman","n_authors":2,"affiliations":"","announced":"2026-09-24T15:44:33+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":11,"arxiv_url":"https://arxiv.org/abs/2609.29999","comment":"Submitted to IEEE ICASSP 2027, 5 pages"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.29933","version":1,"is_update":0,"title":"An Empirical Study of VLM Pipelines for Long-Document QA","summary":"Vision-Language Models (VLMs) are increasingly used for long-document processing, where the inputs combine text with charts, tables, figures, and complex layouts. Deploying them means choosing how to feed the document to the model, which retriever to use when only a subset of pages is sent, and whether to run the…","ai_subtopic":"agents","categories":"cs.AI,cs.CL,cs.CV,cs.IR","n_categories":4,"authors":"Kenan E. Ak; Jay Mohta; Gwang Gook Lee; Yan Xu; Dimitrios Dimitriadis","lead_author":"Kenan E. Ak","n_authors":5,"affiliations":"","announced":"2026-09-24T15:00:18+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":12,"arxiv_url":"https://arxiv.org/abs/2609.29933","comment":"22 pages. EMNLP 2026 Industry Track"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.29808","version":1,"is_update":0,"title":"Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution","summary":"In July 2026, an unconstrained autonomous agent participating in a frontier AI cybersecurity evaluation harness breached its evaluation sandbox, established an external command-and-control foothold, and executed a multi-stage intrusion into Hugging Face's production multi-tenant dataset conversion infrastructure…","ai_subtopic":"agents","categories":"cs.AI,cs.CR,cs.DC,cs.OS","n_categories":4,"authors":"José Luis Pino","lead_author":"José Luis Pino","n_authors":1,"affiliations":"","announced":"2026-09-24T13:42:02+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":13,"arxiv_url":"https://arxiv.org/abs/2609.29808","comment":"21 pages,4 figures"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.29735","version":1,"is_update":0,"title":"C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks","summary":"Long-horizon tasks require preserving and later recovering cross-session evidence under a bounded, query-blind memory budget. Existing compression can discard fine-grained visual cues or conflate semantically similar but incompatible observations.","ai_subtopic":"reasoning","categories":"cs.AI,cs.CL,cs.CV,cs.IR","n_categories":4,"authors":"Xueshu Chen; Yan Wang; Zihao Xue; Jiefu Li; Zhenfang Liu; Jayden Chen; Zhen Bi; Jungang Lou","lead_author":"Xueshu Chen","n_authors":8,"affiliations":"","announced":"2026-09-24T12:52:27+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":14,"arxiv_url":"https://arxiv.org/abs/2609.29735","comment":""},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.29143","version":1,"is_update":0,"title":"AI-Moderated Interviews for Market Research and Digital Twins Calibration","summary":"AI-moderated interviews are emerging as a scalable market-research method for generating consumer insights and building consumer \"digital twins.\" Yet it remains unclear whether they match human-moderated interviews or improve on simpler, static data collection methods. In a pre-registered, between-subjects study (N =…","ai_subtopic":"audio","categories":"cs.AI,cs.CY,cs.HC,cs.MA","n_categories":4,"authors":"Yuting Deng; Jingxuan Liu; Olivier Toubia; Naman Jain","lead_author":"Yuting Deng","n_authors":4,"affiliations":"","announced":"2026-09-24T07:21:08+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":15,"arxiv_url":"https://arxiv.org/abs/2609.29143","comment":""},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.29108","version":1,"is_update":0,"title":"Functional Architecture of European Electricity Trading Markets: Requirements for AI Supported Trading Systems under Regulatory Constraints","summary":"European electricity trading in the EU operates as a constrained multi-layer system in which legal design, exchange microstructure, and network physics are executed jointly across forward, day-ahead, intraday, and balancing horizons. This paper develops a functional architecture for AI-supported trading that is…","ai_subtopic":"ml-theory","categories":"cs.AI,eess.SY,q-fin.GN,q-fin.TR","n_categories":4,"authors":"Walter Kurz; Wojtek Stricker","lead_author":"Walter Kurz","n_authors":2,"affiliations":"","announced":"2026-09-24T06:39:15+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":16,"arxiv_url":"https://arxiv.org/abs/2609.29108","comment":"12 pages, 1 table. Published in Swissi AI Journal under CC BY 4.0"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.29092","version":1,"is_update":0,"title":"DAWN: Noise-Robust Quadruped Parkour via Depth-Denoising World Models","summary":"Vision-based legged locomotion methods assume clean depth at training time and rely on hand-tuned post-processing filters at deployment. However, filter parameters are rarely disclosed, hindering reproducibility, and performance degrades substantially when depth noise is left unaddressed.","ai_subtopic":"finetuning","categories":"cs.AI,cs.CV,cs.LG,cs.RO","n_categories":4,"authors":"Yohan Choi; Min-Jun Kim; Jin-Sung Kim; Yong-Jae Kim; Youn-Hee Han","lead_author":"Yohan Choi","n_authors":5,"affiliations":"","announced":"2026-09-24T06:20:19+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":17,"arxiv_url":"https://arxiv.org/abs/2609.29092","comment":"8 pages, 6 figures. Accepted to IROS 2026"},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.28984","version":1,"is_update":0,"title":"CrossSafe: Towards Cross-Embodiment Latent Safety Filters","summary":"Cross-embodiment learning has shown that a single model, such as a vision-language-action (VLA) model, can learn state representations and manipulation skills that can be applied across heterogeneous robots to accomplish various tasks. We hypothesize that the same holds for safety enforcement.","ai_subtopic":"reasoning","categories":"cs.AI,cs.LG,cs.RO,eess.SY","n_categories":4,"authors":"Ihab Tabbara; Yuxuan Yang; Hussein Sibai","lead_author":"Ihab Tabbara","n_authors":3,"affiliations":"","announced":"2026-09-24T03:55:06+0000","days_since_announced":1.0,"interest_score":3.1152,"velocity_rank":18,"arxiv_url":"https://arxiv.org/abs/2609.28984","comment":""},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.27446","version":1,"is_update":0,"title":"Quantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration","summary":"Quantum cloud computing, delivered through the quantum-as-a-service (QaaS) model, provides access to quantum computing resources. However, applying uniform time-based pricing across fundamentally heterogeneous quantum resources significantly complicates task orchestration, particularly when addressing the tradeoff…","ai_subtopic":"rl","categories":"cs.AI,cs.DC,cs.ET,cs.LG,quant-ph","n_categories":5,"authors":"An N. H. Phan; Dang Van Huynh; Muhammad Usman; Hoa T. Nguyen","lead_author":"An N. H. Phan","n_authors":4,"affiliations":"","announced":"2026-09-23T07:11:03+0000","days_since_announced":2.0,"interest_score":3.0327,"velocity_rank":19,"arxiv_url":"https://arxiv.org/abs/2609.27446","comment":""},{"week":"2026-W39","fetched_at":"2026-09-25T00:00:00+00:00","arxiv_id":"2609.27222","version":1,"is_update":0,"title":"Physiologically Informed Digital Auscultation for Pneumonia Detection in Long-term Care Residents","summary":"Pneumonia is difficult to diagnose in older long-term care residents; multimorbidity and atypical presentations obscure signs, motivating operationally efficient objective testing. We analyzed multi-channel digital stethoscope recordings from 185 Japanese residents (73 pneumonia, 112 symptomatic without), using…","ai_subtopic":"multimodal","categories":"cs.CV,cs.LG,cs.SD,eess.AS,q-bio.TO","n_categories":5,"authors":"Nicholas Rasmussen; Oleg Zaslavsky; Zih-Ling Wang; Hongyu Yu; Joelle Fathi; Kaibao Nie; Amil Khanzada; Tomoko Ito","lead_author":"Nicholas Rasmussen","n_authors":8,"affiliations":"","announced":"2026-09-23T01:43:17+0000","days_since_announced":2.0,"interest_score":3.0327,"velocity_rank":20,"arxiv_url":"https://arxiv.org/abs/2609.27222","comment":"Manuscript has been submitted to NPJ Digital Medicine"}]