CompanyAnthropic8 recent entries7 Sept 2026Substrate-Aware AI Agents: Execution Context as a First-Class InputarXiv:2609.05232v1 Announce Type: new Abstract: Autonomous AI agents increasingly select actions in environments whose memory, execution-time, runtime, compute, and operational constraints determine w→10 Sept 2026Multi-Functional Embedding Models for Funder Name Disambiguation in Scientific Publication RecordsarXiv:2609.09984v1 Announce Type: new Abstract: Understanding the historical allocation and distribution of research funding advances our knowledge of how scientific research is supported across field
CompanyOpenAI8 recent entries4 Jun 2026Disentangling Answer Engine Optimization from Platform Growth: A Log-Based Natural Experiment on ChatGPT Referral TrafficarXiv:2606.04362v1 Announce Type: cross Abstract: Large language model (LLM) 'answer engines' such as ChatGPT now send measurable referral traffic to the open web, and a practice analogous to search e→26 Jun 2026The Open Source Economic Index of AI Adoption and CapabilityarXiv:2606.26118v1 Announce Type: cross Abstract: We work towards measuring both AI adoption and the capability of AI to perform discrete labor tasks across various occupations. To measure adoption, w→7 Aug 2026Evaluating and Improving Pedagogical Fit in LLM-Based AI Tutors with the Pedagogical Suitability IndexarXiv:2608.05411v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as AI tutors, but a correct answer is not always a pedagogically appropriate one. In classroom learni→11 Aug 2026From Evaluated Models to Evaluation Aids: A Multi-Evidence Study of LLM-Based Difficulty Calibration for Programming ExaminationsarXiv:2608.07523v1 Announce Type: cross Abstract: Difficulty differences across parallel-class programming examinations affect the fairness of course assessment. This study repositions large language →17 Aug 2026Asymmetric Discourse Homogenization and Shared Language Technology: Evidence from RedditarXiv:2608.13674v1 Announce Type: cross Abstract: I document an ideologically asymmetric break in the pre-existing diversification trend of political discourse, emerging around late 2022, using 6 mill→7 Sept 2026Substrate-Aware AI Agents: Execution Context as a First-Class InputarXiv:2609.05232v1 Announce Type: new Abstract: Autonomous AI agents increasingly select actions in environments whose memory, execution-time, runtime, compute, and operational constraints determine w→6 Oct 2026Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based PromptsarXiv:2610.05690v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for literature search and synthesis. However, it is unclear whether they retrieve accurate bibliogr→7 Oct 2026Navier-Stokes lost in translation: Why Lean verification of AI autoformalisation does not guarantee correct natural language proofsarXiv:2610.08144v1 Announce Type: cross Abstract: Autoformalisation is increasingly used to verify mathematical texts, including those generated by AI, as in OpenAI's announced proof of blow-up of sol
CompanyGoogle8 recent entries26 Aug 2026Structured Frequency-Domain Evidence for LLM-Based Time-Series Anomaly DetectionarXiv:2608.24113v1 Announce Type: cross Abstract: Time-series anomalies can appear not only as pointwise deviations but also as changes in recurring temporal structure, such as shifted periodicity or →7 Sept 2026Substrate-Aware AI Agents: Execution Context as a First-Class InputarXiv:2609.05232v1 Announce Type: new Abstract: Autonomous AI agents increasingly select actions in environments whose memory, execution-time, runtime, compute, and operational constraints determine w→10 Sept 2026Multi-Functional Embedding Models for Funder Name Disambiguation in Scientific Publication RecordsarXiv:2609.09984v1 Announce Type: new Abstract: Understanding the historical allocation and distribution of research funding advances our knowledge of how scientific research is supported across field→22 Sept 2026Replication Without Persistence in Hosted LLMs: Measurement Sensitivity in Action-Time Belief EvaluationarXiv:2609.22478v1 Announce Type: cross Abstract: Behavioural evaluations of hosted language models can vary because the evaluated service, the measurement instrument, or both differ across runs. We s→25 Sept 2026CRISS: A Retrieval-Augmented AI Chatbot for Assisting Cancer RegistrarsarXiv:2609.29075v1 Announce Type: new Abstract: Cancer registrars, including Oncology Data Specialists (ODSs), must interpret complex and frequently updated coding and staging standards. We developed →30 Sept 2026Who Warmed the Archives? LLMs Overestimate Historical WarmtharXiv:2609.37499v1 Announce Type: new Abstract: Historical archives are an under-used source for extending the instrumental climate record backward in time, and LLMs offer a way to extract the indices→6 Oct 2026Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based PromptsarXiv:2610.05690v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for literature search and synthesis. However, it is unclear whether they retrieve accurate bibliogr→8 Oct 2026Do Image Editors Follow Depth-Dependent Blur and Aperture Response? A Rendered-Ground-Truth Pilot AuditarXiv:2610.09344v1 Announce Type: new Abstract: General image editors are asked to make a photo look as if it were taken at f/1.4, yet it is rarely checked whether the blur they add follows thin-lens
CompanyMeta8 recent entries15 Sept 2026AttnFuse: A Composable DSL for Compiling Attentions to Fused GPU KernelsarXiv:2609.13612v1 Announce Type: new Abstract: Modern AI systems are built on the Transformer architecture, whose core operation, attention, accounts for the majority of computation and memory cost. →22 Sept 2026Machine-Interpretable Information: Compiling Documents into Searchable and Readable Protocol StatesarXiv:2609.23371v1 Announce Type: new Abstract: Long-context language models interface with external knowledge through raw natural language. In retrieval-augmented systems, this creates a persistent i→25 Sept 2026TW3Cast: A Frozen Router of Lightly Fine-Tuned Foundation Models for Time-Series Forecasting on GIFT-Eval, Selected Entirely on the Training SplitarXiv:2609.28506v1 Announce Type: new Abstract: TW3Cast is a time-series forecasting system that reaches position 3 of 130 entries on the GIFT-Eval benchmark by mean MASE rank, as of 2026-09-14. The t→29 Sept 2026PQ-HSA: Reusing Product-Quantized Scores for Hybrid Sparse-Approximate AttentionarXiv:2609.33746v1 Announce Type: new Abstract: At each decoding step a language model attends over the key-value (KV) cache of every earlier token, so at long context the attention call is bounded by→30 Sept 2026ARC-KV: Amortizing Anchor Search for Reconstruction-Based KV Cache CompactionarXiv:2609.36835v1 Announce Type: new Abstract: Long-context large language model inference is bottlenecked by KV caches that grow linearly with sequence length. This burden is especially severe for l→2 Oct 2026Every Batch Is Its Own Validation Set: Leave-One-Out Gradient Matching for Online Data Selection in LLM Fine-TuningarXiv:2610.00436v1 Announce Type: new Abstract: Online batch selection fine-tunes a language model on the most useful part of each candidate batch. Selectors that match the gradient of the candidate b→2 Oct 2026Beyond Linear Concepts: Discovering and Aligning Non-Linear Concept Manifolds in Large Language ModelsarXiv:2610.01821v1 Announce Type: new Abstract: Understanding information processing in large language models (LLMs) requires dissecting the geometric organization of their internal token representati→9 Oct 2026SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM InferencearXiv:2610.12327v1 Announce Type: cross Abstract: The memory-bound nature of the decoding stage of large language model (LLM) inference incurs significant latency. Layer-wise training-free network pru
CompanyMistral8 recent entries26 Jun 2026Memory Depth, Not Memory Access: Selective Parametric Consolidation for Long-Running Language AgentsarXiv:2606.26806v1 Announce Type: new Abstract: Long-running language agents need more than memory access. Retrieval systems can fetch past facts at query time, but they do not decide which experience→2 Jul 2026Persona Without Substrate: Regime-Dependence and the LLM Individuation ProblemarXiv:2607.00006v1 Announce Type: cross Abstract: Beckmann & Butlin's (2026) ontological framework for the LLM individuation problem inherits an unargued cross-regime co-reference assumption from the →23 Jul 2026TriAgent: Divergence-Aware Multi-Agent Committees for Cost-Efficient Financial Sentiment AnalysisarXiv:2607.19794v1 Announce Type: new Abstract: Production LLM-based financial sentiment analysis faces a structural cost trap: most queries are trivially classifiable, yet expensive cloud reasoners p→5 Aug 2026SAKI: Score-Aware Low-Rank Key Indexing for Long-Context KV RetrievalarXiv:2608.03228v1 Announce Type: new Abstract: Existing low rank KV cache methods preserve either model weights or key variance, neither of which directly reflects the attention scores used during in→20 Aug 2026Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk TriagearXiv:2608.18438v1 Announce Type: cross Abstract: Modern mental healthcare faces a critical shortage of senior supervisory oversight, leading to a 'supervision gap' where novice therapists manage high→4 Sept 2026STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentationarXiv:2609.03874v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) is a key component for generating accurate and hallucination free answers using Large Language Models (LLMs). LLMs →22 Sept 2026Machine-Interpretable Information: Compiling Documents into Searchable and Readable Protocol StatesarXiv:2609.23371v1 Announce Type: new Abstract: Long-context language models interface with external knowledge through raw natural language. In retrieval-augmented systems, this creates a persistent i→28 Sept 2026Beyond Mean Attention: Diversity-Aware, Layer-Wise Scoring for KV Cache EvictionarXiv:2609.30738v1 Announce Type: new Abstract: KV cache eviction methods such as SnapKV and PyramidKV rank tokens solely by mean attention over a small observation window. We study a unified score, m
CompanyxAI8 recent entries23 May 2026Measuring Cross-Modal Synergy: A Benchmark for VLM ExplainabilityarXiv:2605.22168v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) map complex visual inputs to semantic spaces, but interpreting the cross-modal reasoning of VLMs currently relies on pos→4 Jun 2026Interfaze: The Future of AI is built on Task-Specific Small ModelsarXiv:2602.04101v2 Announce Type: replace Abstract: We present Interfaze, a native hybrid model that fuses task-specific deep neural networks (CNNs and DNNs) directly into a transformer decoder throug→9 Jun 2026The AI Epistemic Deference Index: A Continuous Measure of SycophancyarXiv:2606.07897v1 Announce Type: new Abstract: Current AI models frequently exhibit epistemic sycophancy, endorsing claims to agree with a user. Existing evaluations typically measure this either by →30 Jun 2026The Digital Afterlife of Empires: Four Language Models Converge on the Same Imperial Cartography of WritingarXiv:2606.28325v1 Announce Type: cross Abstract: Large language models process the world's writing systems with radical inequality. We constructed the Digital Script Representation Index (DSRI), a se→9 Jul 2026Cross-Trajectory Chimera Interventions Reveal Dissociable Roles of Weight Magnitude and Direction in GrokkingarXiv:2607.06628v1 Announce Type: cross Abstract: Which properties of a partially trained network are causally portable to a different, independently trained network? Single-trajectory interventions s→16 Jul 2026Anatomically Faithful but Temporally Blind: Auditing Attribution for Left-Ventricular Ejection-Fraction Estimation from EchocardiographyarXiv:2607.13738v1 Announce Type: cross Abstract: Background and Objective: Deep video models estimate left-ventricular ejection fraction (EF) from echocardiography with near-expert accuracy, and post→10 Sept 2026XAI-Refine: An Automated Explanation-Knowledge Loop for Brain-Age PredictionarXiv:2609.09388v1 Announce Type: new Abstract: Brain-age prediction models are commonly evaluated by predictive accuracy, yet accurate predictions alone do not establish that a model relies on reprod→6 Oct 2026Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based PromptsarXiv:2610.05690v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for literature search and synthesis. However, it is unclear whether they retrieve accurate bibliogr
CompanyDeepSeek8 recent entries29 Sept 2026Autonomous Research Project Management as an Agent Skill: A Case Study in Exact Spectral Spatial RegressionarXiv:2609.31683v1 Announce Type: new Abstract: This work presents an end-to-end demonstration of autonomous machine learning research conducted by an agent skill on consumer hardware. The demonstrati→30 Sept 2026Who Warmed the Archives? LLMs Overestimate Historical WarmtharXiv:2609.37499v1 Announce Type: new Abstract: Historical archives are an under-used source for extending the instrumental climate record backward in time, and LLMs offer a way to extract the indices→2 Oct 2026Interpreting Reasoning of Large Language Models via Partial Information DecompositionarXiv:2610.00571v1 Announce Type: cross Abstract: Large reasoning models (LRMs) have achieved substantial improvements in solving complex mathematical problems, but often produce lengthy, repetitive, →6 Oct 2026Expanding LLM ReasoningarXiv:2610.05584v1 Announce Type: new Abstract: Extra inference compute is usually spent on sampling more reasoning chains. We study where inside an existing chain an additional continuation should be→6 Oct 2026Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based PromptsarXiv:2610.05690v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for literature search and synthesis. However, it is unclear whether they retrieve accurate bibliogr→7 Oct 2026Beyond the Leaderboard: Multi-Dimensional Evaluation of Dense and Mixture-of-Experts Models for Automated Program RepairarXiv:2610.08173v1 Announce Type: cross Abstract: Automated Program Repair (APR) with language models is usually evaluated by whether a generated patch passes the test suite, which can hide difference→12 Oct 2026Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QAarXiv:2610.13128v1 Announce Type: new Abstract: Question answering over large heterogeneous document collections requires first finding the right passages and then reading them, yet current retrieval-→12 Oct 2026Can Language Models Play the Wikipedia Game?arXiv:2610.13948v1 Announce Type: new Abstract: Language models increasingly support or automate information retrieval from document collections too large to index. This task is difficult when it requ
CompanyNVIDIA8 recent entries17 Sept 2026VLM-MPPI: Grounding Natural Language in Behaviorally Diverse Trajectories for Aerial NavigationarXiv:2609.18451v1 Announce Type: new Abstract: We present a hierarchical UAV navigation framework that aligns natural-language intent with dynamically feasible flight behaviors in cluttered indoor en→18 Sept 2026GR2PO: Group Relative Return Policy Optimization for Continuous Robot ControlarXiv:2609.19850v1 Announce Type: new Abstract: Actor-critic architecture has been widely used in continuous robot control. However, they rely on learning a value network, introducing additional compu→22 Sept 2026Shared Execution-Clock Drifting Policy for Dynamic Precision ManipulationarXiv:2609.23305v1 Announce Type: new Abstract: Manipulation under time constraints requires both accurate actions and an execution rhythm that matches the evolving scene. This becomes critical when a→24 Sept 2026From greenhouse climate to individual leaves: an organ-resolved model of lettuce growtharXiv:2609.27118v1 Announce Type: new Abstract: Greenhouse climate management aims to improve crop production while limiting energy use. This requires knowing how a crop will respond before conditions→29 Sept 2026Tetra: Serving Leech-Lattice Quantized LLMs at 2.7 Bits per ParameterarXiv:2609.35465v1 Announce Type: new Abstract: Leech-lattice quantization gives good quality at two bits per weight, but its codebooks hold more than 10^14 points, too many for a lookup table. Our ea→29 Sept 2026PQ-HSA: Reusing Product-Quantized Scores for Hybrid Sparse-Approximate AttentionarXiv:2609.33746v1 Announce Type: new Abstract: At each decoding step a language model attends over the key-value (KV) cache of every earlier token, so at long context the attention call is bounded by→5 Oct 2026Query-aware routing for Cross-lingual performance gains in EncodersarXiv:2610.02875v1 Announce Type: cross Abstract: Multilingual encoders can exhibit reduced retrieval effectiveness when queries and relevant documents differ in language, despite strong same-language→9 Oct 2026SatFix: Absolute Visual Localization of UAVs in Satellite Maps from a Single Oblique ImagearXiv:2610.11049v1 Announce Type: new Abstract: We study absolute metric UAV localization within a provided geo-referenced satellite region, recovering continuous map position and viewing heading from