arXiv:2609.25815v1 Announce Type: cross Abstract: Visual attribution methods typically explain predictions using pixels, superpixels, or regular patches. These representations can localize important regions, but provide limited information about their structure. We introduce MorphoSHAP, a…
arXiv:2609.25623v1 Announce Type: cross Abstract: More privileged information does not always make a better teacher. We study this tension in on-policy self-distillation (OPSD), where a frozen copy of the base model scores the student's own rollouts under privileged context, conventionally a…
arXiv:2609.25712v1 Announce Type: new Abstract: Multi-source knowledge graphs (KGs) need query mechanisms that expose reliability and exploit domain structure. This paper presents TCMaster, a property-graph query substrate for confidence-aware traversal and workload-guided physical design over…
arXiv:2609.26243v1 Announce Type: new Abstract: The rapidly increasing student population has posed serious challenges to the traditional academic advising process. This study designs and implements a multi-purpose intelligent system to support students' academic progress, based on a two-part…
arXiv:2609.26425v2 Announce Type: cross Abstract: KV cache memory has become a major deployment bottleneck for video generation and world models, which motivates low-bit quantization study for efficiency. Existing 2-bit KV cache quantization methods can achieve nearly lossless performance on video…
arXiv:2609.25482v1 Announce Type: cross Abstract: Large language model (LLM) pretraining conventionally returns the raw final iterate. This couples two design choices: the learning-rate schedule that generates the parameter trajectory and the estimator that constructs the deployed model (e.g. the…
arXiv:2609.26057v1 Announce Type: cross Abstract: Context: Secondary studies are fundamental practices in Evidence- Based Software Engineering, but teaching them requires activities that expose students to authentic methodological decisions. Objective: This paper reports an experience in a graduate…
arXiv:2606.08285v2 Announce Type: replace Abstract: Large language models (LLMs) and agentic systems are increasingly proposed for financial trading, yet their reported performance remains difficult to compare because studies vary in data provenance, temporal split discipline, execution timing…
arXiv:2609.25010v1 Announce Type: new Abstract: Marketers increasingly use large language models (LLMs) as "synthetic personas" to predict how an audience will react to a piece of copy before it ships, encouraged by evidence that profile-conditioned LLMs mimic human samples. But is that prediction…
arXiv:2609.25474v1 Announce Type: new Abstract: Know Your Client (KYC) onboarding in capital markets requires analysts to manually classify documents, extract structured data from heterogeneous sources, and validate compliance against complex regulatory policies. This process requires significant…
arXiv:2609.25647v1 Announce Type: new Abstract: Predicting early outcomes based on trajectory can decrease the expenses associated with agent evaluation by terminating a run once the outcome becomes sufficiently predictable, assuming that the predictor's confidence is properly calibrated…
arXiv:2609.26059v1 Announce Type: new Abstract: Course-of-action (COA) generation is a distributed planning problem: a system must propose structured candidate actions, evaluate them against an adversarial response, and surface options that remain tactically coherent under changing conditions. We…
arXiv:2609.25980v1 Announce Type: cross Abstract: Probabilistic time series foundation models (TSFMs) provide coordinate-wise predictive distributions, but these marginals do not determine a joint distribution over multivariate future trajectories. We study training-free coupling of frozen TSFM…
arXiv:2609.26579v1 Announce Type: cross Abstract: A central concern with language models is sycophancy: their tendency to defer to users' views at the expense of independent substantive judgment. In parallel, work on social sycophancy has focused on behaviors such as validation and positivity that…
arXiv:2605.21292v2 Announce Type: replace-cross Abstract: Unbiased stochastic gradients can match the full gradient in expectation while changing finite-step stability. We study this effect in one-layer linear self-attention for in-context linear regression, where shared-mode mini-batch training…
arXiv:2609.20278v2 Announce Type: replace-cross Abstract: Current Transformer interfaces index tokens by one or more integer coordinates, which determine their addresses inside attention. In RoPE and its multi-axis or hierarchical variants, the resulting address has the form…
The German government has selected a QUDORA-led consortium for the €122 million NFQC-1k project to build a fault-tolerant trapped-ion quantum computer with at least 1,000 physical qubits. This five-year initiative aims to establish a semiconductor pilot line for high-performance quantum processing…
Two Victorian battery storage projects have reached new construction and commissioning milestones this week, both connecting to the National Electricity Market (NEM) in Australia.
IonQ's Superion 256 quantum computer will be the first on-premise QPU at NVIDIA's Accelerated Quantum Research Center, integrating with NVIDIA's GB200 NVL72 accelerated computing rack via NVQLink. This collaboration aims to advance quantum-GPU architectures and hybrid software frameworks for…
Photonic Inc. and Microsoft are collaborating to integrate Photonic's distributed quantum computing models and QLDPC error correction algorithms into Microsoft's Quantum Resource Estimator. This partnership aims to provide researchers and developers with a more accurate way to model quantum…
Modern data centers, high-precision measurement systems and high-resolution radar sensors rely on extremely broadband amplifier chips that combine low noise with high output power. Researchers at the Fraunhofer Institute for Applied Solid State Physics IAF have developed a monolithic microwave…
Researchers found that levels of a gene expression regulator rose in the spleens of middle-aged female mice, contributing to cellular demise and potentially explaining why men and women age differently.
“I’m here because I love thoughtful dialogues on energy, climate change, and human lives,” Energy Secretary Chris Wright told my colleague Robinson Meyer this afternoon. “That’s been a passion my whole life, and nothing will change that.” It’s our passion too — and was a defining theme of Heatmap…
Without billions in new federal investment the United States may lose its pole position in the global race to be the first nuclear fusion superpower, Commonwealth Fusion Systems CEO Bob Mumgaard told attendees at Heatmap House in New York City. When asked onstage whether Commonwealth Fusion could…
When people hear the term "green building," they often imagine expensive technologies, costly developments or environmentally friendly features that only wealthy buyers can afford.
Roche reported the drug sefaxersen achieved statistically significant and clinically meaningful results in a Phase 3 test in immunoglobulin A nephropathy, or IgAN. This antisense oligonucleotide, which came from Ionis Pharmaceuticals, could offer advantages over other drugs currently available for…
NASA’s researchers know that when you settle into your seat on a commercial flight, you expect a smooth takeoff, views over the clouds, a steady descent, and hopefully an early arrival at your destination. But when your flight gets delayed on the tarmac instead of lifting off, or it ends up in a…
A slow-release liposome system delivered local anesthesia for weeks in rats, potentially enabling longer-lasting nerve blocks and new approaches to pain management. The post New Liposome Design Could Provide Effective Slow-Release Drug Delivery System appeared first on GEN - Genetic Engineering and…