absorb.md

What the smart people are recommending. 7867 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.

AllπŸ“š BooksπŸ›  ToolsπŸ“± AppsπŸ’Š SupplementsπŸŽ“ Courses🎬 MoviesπŸ“Ί ShowsπŸ“¦ ProductsπŸ”§ ServicesπŸ“„ PapersπŸ‘€ People🎟 EventsπŸ’» Repos✨ Skills
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πŸ“„ PapersΓ—1 mentions

Secfeddnn

β€œFrameworks, such as DFGL-LZTA, SecFedDNN and COSIER were assessed.”

paper: Decentralized Mechanisms Bolster IoT Edge Security via Privacy, Resilience, and Adaptive Threat Response β€” 2026-04-21
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πŸ“„ PapersΓ—1 mentions

Cosier

β€œFrameworks, such as DFGL-LZTA, SecFedDNN and COSIER were assessed.”

paper: Decentralized Mechanisms Bolster IoT Edge Security via Privacy, Resilience, and Adaptive Threat Response β€” 2026-04-21
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πŸ“„ PapersΓ—1 mentions

Roam Regiongraph Optimaltransport Mixtureofexperts

β€œTo address these limitations, we propose ROAM (Region-graph OptimAl-transport Mixture-of-experts), a spatially aware MoE-MIL aggregator that routes region tokens to expert poolers via capacity-constra…”

paper: ROAM: Region-Graph Optimal Transport for Balanced MoE in WSI Classification β€” 2026-04-09
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Slfac

β€œTo tackle this challenge, we propose SL-FAC, a communication-efficient SL framework comprising two key components: adaptive frequency decomposition (AFD) and frequency-based quantization compression (…”

paper: SL-FAC: Optimizing Split Learning Communication with Frequency-Aware Compression β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Nearest Neighbour Gaussian Process Nngp Regression

β€œWe develop a theoretical framework for $NNGP$ and $GPnn$ regression. Under mild regularity assumptions, we derive almost sure pointwise limits for three key predictive criteria: mean squared error ($M…”

paper: Theoretical Foundation for Scalable Gaussian Process Regression β€” 2026-04-09
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Meol

β€œProject page: https://scene-the-ella.github.io/meol/”

paper: Training-Free MLLM Instructions Enable Structure-Aware SVG and Image Retrieval β€” 2026-04-21
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πŸ“„ PapersΓ—1 mentions

An Excellent Post Explaining The Importance Of Ethereum Having A Dynamically Available Consensus That Both Provides Economic Finality And Ensures Chain Progress Even Under Conditions Where Economic Finality Is Impossible

by Vitalik Buterin

β€œAn excellent post explaining the importance of Ethereum having a dynamically available consensus, that both provides economic finality and ensures chain progress even under conditions where economic f…”

tweet: Ethereum’s Dual Consensus: Security and Economic Finality β€” by Vitalik Buterin β€” 2026-03-18
Endorsed by Vitalik Buterin
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πŸ“„ PapersΓ—1 mentions

Role Of Immigration In The Fall Of The Roman Empire

by Liberation Day

β€œThe Role of Immigration in the Fall of the Roman Empire”

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Interface Choice For Your Visionos App

by VisionOS

β€œ# Interface choice for your visionOS app _Blog post by VisionOS_”

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Age Of Intelligence

by Sam Altman

β€œLet's talk about your newest essay on uh the age of intelligence”

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Immersive Space Coordinate System

by VisionOS

β€œ# Immersive space coordinate system”

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Broken Quantum

β€œWe present Broken Quantum, the first comprehensive formal security audit of the open-source quantum computing simulator ecosystem.”

paper: Formal Verification Reveals Systemic Security Vulnerabilities in Quantum Simulators β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Ftai Could Be Violating Us Sanctions Against Iran

by Muddy Waters

β€œ# FTAI Could Be Violating U.S. Sanctions Against Iran (FTAI US) _Blog post by Muddy Waters_”

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πŸ“„ PapersΓ—1 mentions

Mw Is Short Elf Beauty Inc Elf Us

by Muddy Waters

β€œMW is Short e.l.f. Beauty, Inc. (ELF US)”

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πŸ“„ PapersΓ—1 mentions

Fijis Cimos Decision At Openai To Buy Tbpn

by Stephanie Palazzolo

β€œMy colleague Stephanie Palazzolo has some exclusive reporting around Fiji's CIMO's decision at OpenAI to buy TBPN. According to Steph's reporting, Fiji had the idea earlier this year as she was trying…”

Recommended on The Information's TITV β€” 2026-04-03
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πŸ“„ PapersΓ—1 mentions

Exclusive Survey That We Ran At The Information With Our Subscribers

β€œThe second piece I want to highlight, we have some new data out from an exclusive survey that we ran at the Information with our subscribers. A majority think that conditions for tech companies will w…”

Recommended on The Information's TITV β€” 2026-04-03
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πŸ“„ PapersΓ—1 mentions

Eurofins Scientific Part Ii Nothing But Net

by Muddy Waters

β€œ# Eurofins Scientific Part II: Nothing but Net (ERF.FP)”

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πŸ“„ PapersΓ—1 mentions

Short Ftai Aviation Ltd Ftai Us

by Muddy Waters

β€œMW is Short FTAI Aviation Ltd. (FTAI US)”

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πŸ“„ PapersΓ—1 mentions

Minif2fhard

β€œFirst, we release MiniF2F-Hard and FIMO-Hard, expert-reannotated Hard Mode variants of two widely-used ATP benchmarks.”

paper: DAP Framework Masters Hard Mode ATP by Discovering Answers via LLM Reasoning Before Proving β€” 2026-04-20
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πŸ“„ PapersΓ—1 mentions

Informational Buildup Framework Ibf

β€œThis paper introduces the Informational Buildup Framework (IBF), an alternative substrate for continual learning, based on the premise that information is the achievement of structural alignment rathe…”

paper: Informational Buildup Framework for Catastrophic Forgetting β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Dinoqpm

β€œWith DINO-QPM we make the level of interpretability of QPM available as an adapter while exceeding the accuracy of DINOv2 linear probe. Evaluated through an introduced Plausibility metric and other in…”

paper: DINO-QPM Enhances Interpretability and Performance for Visual Foundation Models β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Tstartreestructured Selftaught Agent Rectification

β€œIn this paper, we propose T-STAR(Tree-structured Self-Taught Agent Rectification), a framework that recovers the latent correlated reward structure across seemingly independent trajectories.”

paper: T-STAR: Tree-structured Agent Rectification for Improved LLM Reasoning in Multi-step Tasks β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Tracesafebench

β€œTo address this gap, we introduce TraceSafe-Bench, the first comprehensive benchmark specifically designed to assess mid-trajectory safety.”

paper: LLM Guardrail Efficacy in Multi-Step Tool-Calling Trajectories is Structurally Dependent β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Moright

β€œWe introduce MoRight, a unified framework that addresses both limitations through disentangled motion modeling.”

paper: MoRight: A Novel Framework for Disentangled Motion and Causality in Video Generation β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Ddpsa

β€œThis article presents DDP-SA, a scalable privacy-preserving federated learning framework that jointly leverages client-side local differential privacy (LDP) and full-threshold additive secret sharing …”

paper: DDP-SA: A Scalable and Private Federated Learning Framework β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

We Initiate The Study Of Differentially Private Dp Language Identification And Generation In The Agnostic Statistical Setting Establishing Algorithms And Matching Lower Bounds That Precisely Quantify The Cost Of Privacy

β€œWe initiate the study of differentially private (DP) language identification and generation in the agnostic statistical setting, establishing algorithms and matching lower bounds that precisely quanti…”

paper: Privacy Cost in Language Identification and Generation for LLMs is Mild β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Mixedinitiative Context

β€œTo address this, we propose Mixed-Initiative Context, which reconceptualizes the context formed across multi-turn interactions as an explicit, structured, and manipulable interactive object.”

paper: Structured Context Management Improves Human-AI Collaboration β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Strideed

β€œTo address these challenges, we propose STRIDE-ED, a STRategy-grounded, Interpretable, and DEep reasoning framework that models Empathetic Dialogue through structured, strategy-conditioned reasoning.”

paper: STRIDE-ED: Enhancing Empathetic Dialogue Systems through Strategy-Grounded Reasoning and Refined Data β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Kite

β€œCode and models are released on our project page: https://m80hz.github.io/kite/”

paper: KITE: A Keyframe-Indexed Tokenized Evidence Framework for VLM-Based Robot Failure Analysis β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Logic Monopoly

β€œWe term this the Logic Monopoly -- the agent society's unchecked monopoly over the entire logic chain from planning through execution to evaluation. We propose the Separation of Power (SoP) model, a c…”

paper: Decentralized Governance of Multi-Agent Economies via Separation of Power β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Clickguard

β€œThe paper introduces, ClickGuard: a trustworthy adaptive fusion framework for clickbait detection.”

paper: ClickGuard: An Adaptive Fusion Framework for Trustworthy Clickbait Detection β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Redact Reasondeferact

β€œIn this paper, we address this tradeoff by proposing ReDAct (Reason-Defer-Act).”

paper: ReDAct: Cost-Effective Hallucination Reduction in LLM Agents via Uncertainty-Aware Deferral β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Salesllm

β€œWe introduce SalesLLM, a bilingual (ZH/EN) benchmark derived from realistic applications covering Financial Services and Consumer Goods, built from 30,074 scripted configurations and 1,805 curated mul…”

paper: SalesLLM: A Benchmark for LLM Performance in Realistic Sales Dialogues β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Lobster Languageofstudy Bias In Scientific Peer Review

β€œWe present the first systematic characterization of LoS bias, distinguishing negative and positive forms, and introduce the human-annotated dataset LOBSTER (Language-Of-study Bias in ScienTific pEer R…”

paper: Language-of-Study Bias in NLP Peer Review β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Claridge 2025

by Claridge

β€œTo test external validity, the agent replicated two published studies on the CLMET corpus (40 million tokens) - Claridge (2025) and De Smet (2013) - with close quantitative agreement.”

paper: LLM Agents Automate Corpus Linguistics Research β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

De Smet 2013

by De Smet

β€œTo test external validity, the agent replicated two published studies on the CLMET corpus (40 million tokens) - Claridge (2025) and De Smet (2013) - with close quantitative agreement.”

paper: LLM Agents Automate Corpus Linguistics Research β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Flow Motion Policy

β€œTo address this limitation, we introduce Flow Motion Policy, an open-loop, end-to-end neural motion planner for robotic manipulators that leverages the stochastic generative formulation of flow matchi…”

paper: Flow Motion Policy: Enhancing Robotic Motion Planning with Stochastic Generative Models β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Counterfactual Averaging For Fair Predictions Cafp

β€œIn this paper, we propose Counterfactual Averaging for Fair Predictions (CAFP), a model-agnostic post-processing method that mitigates unfair influence from protected attributes without retraining or …”

paper: Counterfactual Model Averaging for Fair ML Predictions β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Koala

β€œThere's another Super popular paper that you author call koala cognitive architectures for language agents”

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Emomas

β€œWe introduces EmoMAS, a Bayesian multi-agent framework that transforms emotional decision-making from reactive to strategic.”

paper: EmoMAS: Bayesian Multi-Agent System for Emotion-Aware Edge-Deployable Negotiation β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Conformal Margin Risk Minimization Cmrm

β€œWe propose Conformal Margin Risk Minimization (CMRM), a plug-and-play envelope framework that improves any classification loss under label noise by adding a single quantile-calibrated regularization t…”

paper: Conformal Margin Risk Minimization for Robust Learning Under Label Noise β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Inplace Testtime Training Inplace Ttt

β€œIn this work, we introduce In-Place Test-Time Training (In-Place TTT), a framework that seamlessly endows LLMs with Test-Time Training ability.”

paper: In-Place Test-Time Training Enables Dynamic LLM Adaptation β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Unlearning Least Squares Uls

β€œFor squared loss, especially, we develop Unlearning Least Squares (ULS) and establish its minimax optimality for estimating the model parameter of remaining data when only the pre-trained estimator, f…”

paper: Minimax Optimal Machine Unlearning for Data Privacy β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Node Embeddings Act As The Information Interface For Graph Neural Networks Yet Their Empirical Impact Is Often Reported Under Mismatched Backbones Splits And Training Budgets This Paper Provides A Controlled Benchmark Of Embedding Choices For Graph Classification Comparing Classical Baselines With Quantumoriented Node Representations Under A Unified Pipeline We Evaluate Two Classical Baselines Alongside Quantumoriented Alternatives Including A Circuitdefined Variational Embedding And Quantuminspired Embeddings Computed Via Graph Operators And Linearalgebraic Constructions All Variants Are Trained And Tested With The Same Backbone Stratified Splits Identical Optimization And Early Stopping And Consistent Metrics Experiments On Five Different Tu Datasets And On Qm9 Converted To Classification Via Target Binning Show Clear Dataset Dependence Quantumoriented Embeddings Yield The Most Consistent Gains On Structuredriven Benchmarks While Social Graphs With Limited Node Attributes Remain Well Served By Classical Baselines The Study Highlights Practical Tradeoffs Between Inductive Bias Trainability And Stability Under A Fixed Training Budget And Offers A Reproducible Reference Point For Selecting Quantumoriented Embeddings In Graph Learning

β€œThis paper provides a controlled benchmark of embedding choices for graph classification, comparing classical baselines with quantum-oriented node representations under a unified pipeline.”

paper: Quantum Embeddings for Graph Neural Networks Show Dataset-Specific Advantages β€” 2026-04-17
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πŸ“„ PapersΓ—1 mentions

Itag

β€œThis suggests that iTAG-generated data can serve as a practical surrogate for scalable benchmarking of text-based causal discovery algorithms.”

paper: iTAG: Inverse Design for Causal Graph Annotated Text Generation β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Mars Mask Autoregression

β€œWe introduce MARS (Mask AutoRegreSsion), a lightweight fine-tuning method that teaches an instruction-tuned AR model to predict multiple tokens per forward pass.”

paper: MARS: Enhancing Autoregressive Model Throughput without Architectural Changes β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Hingemem

β€œIn this paper, we propose HingeMem, a boundary-guided long-term memory that operationalizes event segmentation theory to build an interpretable indexing interface via boundary-triggered hyperedges ove…”

paper: HingeMem: A Boundary-Guided Approach to Scalable Dialogue Memory β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Fastdvlm

β€œWe present Fast-dVLM, a block-diffusion-based VLM that enables KV-cache-compatible parallel decoding and speculative block decoding for inference acceleration. ... Extensive experiments across 11 mult…”

paper: Fast-dVLM: Block-Diffusion for Efficient VLM Inference β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Skintoned Emojis Are Crucial For Fostering Personal Identity And Social Inclusion In Online Communication As Ai Models Particularly Large Language Models Llms Increasingly Mediate Interactions On Web Platforms The Risk That These Systems Perpetuate Societal Biases Through Their Representation Of Such Symbols Is A Significant Concern This Paper Presents The First Largescale Comparative Study Of Bias In Skintoned Emoji Representations Across Two Distinct Model Classes We Systematically Evaluate Dedicated Emoji Embedding Models Emoji2vec Emojisw2v Against Four Modern Llms Llama Gemma Qwen And Mistral Our Analysis First Reveals A Critical Performance Gap While Llms Demonstrate Robust Support For Skin Tone Modifiers Widelyused Specialized Emoji Models Exhibit Severe Deficiencies More Importantly A Multifaceted Investigation Into Semantic Consistency Representational Similarity Sentiment Polarity And Core Biases Uncovers Systemic Disparities We Find Evidence Of Skewed Sentiment And Inconsistent Meanings Associated With Emojis Across Different Skin Tones Highlighting Latent Biases Within These Foundational Models Our Findings Underscore The Urgent Need For Developers And Platforms To Audit And Mitigate These Representational Harms Ensuring That Ais Role On The Web Promotes Genuine Equity Rather Than Reinforcing Societal Biases

β€œThis paper presents the first large-scale comparative study of bias in skin-toned emoji representations across two distinct model classes.”

paper: LLMs Outperform Legacy Emoji Models but Still Exhibit Bias in Skin-Toned Emoji Representation β€” 2026-04-09
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πŸ“„ PapersΓ—1 mentions

Divi

β€œWe propose DIVI, a data-informed variational clustering framework that combines global feature gating with split-based adaptive structure growth. DIVI uses informative prior initialization to stabiliz…”

paper: DIVI: A Robust Variational Clustering Framework for Noisy High-Dimensional Data β€” 2026-04-09
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Bilipschitz Autoencoder Blae

β€œIn this work, we propose the Bi-Lipschitz Autoencoder (BLAE), which introduces two key innovations: (1) an injective regularization scheme based on a separation criterion to eliminate pathological loc…”

paper: Bi-Lipschitz Autoencoders for Robust Manifold Learning β€” 2026-04-09
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Generative Crossentropy Gce

β€œMotivated by the complementary strengths of generative and discriminative classifiers, we propose Generative Cross-Entropy (GCE), which maximizes $p(x|y)$ and is equivalent to cross-entropy augmented …”

paper: Generative Cross-Entropy (GCE) for Improved Deep Learning Classification β€” 2026-04-09
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Girish Arxiv251006385

β€œThis answers a recent open question of Girish (arXiv:2510.06385) on the power of commuting quantum computations.”

paper: IQP Circuits Solve 2-Forrelation with Minimal Quantum Resources β€” 2026-04-17
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πŸ“„ PapersΓ—1 mentions

Cognitive Loop Of Thought Clot

β€œTo address these limitations, we propose a novel Chain-of-Thought framework based on Reversible Hierarchical Markov Chain, termed Cognitive Loop of Thought (CLoT), and a backward reasoning dataset CLo…”

paper: Cognitive Loop of Thought: A Reversible Hierarchical Markov Chain for Enhanced LLM Mathematical Reasoning β€” 2026-04-09
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Telgarskyvattani Note

β€œTelgarsky-Vattani note a typical improvement of 5% -- 10%.”

paper: Minor Variant of Hartigan's k-Means Outperforms by Extra 2-5% β€” 2026-04-25
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Semeval2026 Task 9

β€œWe present SemEval-2026 Task 9, a shared task on online polarization detection, covering 22 languages and comprising over 110K annotated instances.”

paper: SemEval-2026 Advances Multilingual Online Polarization Detection β€” 2026-04-09
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Sharp Lipschitz Regularity Theory For Flowmatching Vector Fields And Diffusionmodel Scores

β€œUnder general assumptions on the target distribution $p^β˜…$, we establish a sharp Lipschitz regularity theory for flow-matching vector fields and diffusion-model scores, with optimal dependence on time…”

paper: Lipschitz Regularity Improves Sampling and Functional Inequalities in Flow Matching and Diffusion Models β€” 2026-04-09
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Individualheterogeneous Subgaussian Mixture Model

β€œTo address this, we introduce the individual-heterogeneous sub-Gaussian mixture model, a flexible framework that assigns each observation its own heterogeneity parameter, thereby explicitly capturing …”

paper: Individual-Heterogeneous Sub-Gaussian Mixture Models Outperform Homogeneous Models in Clustering β€” 2026-04-09
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Blindspot Mass

β€œWe propose blind-spot mass B_n(tau), a deployment metric estimating the total probability mass assigned to states whose empirical support falls below a threshold tau. B_n(tau) is computed using Good-T…”

paper: Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk β€” 2026-04-09
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Machinelearningassisted Generalized Entropy Calibration Mec

β€œWe introduce Machine-Learning-Assisted Generalized Entropy Calibration (MEC), a cross-fitted, calibration-weighted variant of PPI.”

paper: Optimizing Semi-Supervised Mean Estimation via Generalized Entropy Calibration β€” 2026-04-09
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Predictionpowered Inference Ppi

β€œPrediction-powered inference (PPI) leverages a machine-learning predictor trained on a small labeled sample to improve efficiency, but it can lose efficiency under model misspecification and suffer fr…”

paper: Optimizing Semi-Supervised Mean Estimation via Generalized Entropy Calibration β€” 2026-04-09
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If You Want To Learn Do

by Naval Ravikant

β€œ# If You Want to Learn, Do”

blog: Action Generates Intellectual Momentum β€” by Naval Ravikant β€” 2026-04-06
Endorsed by Naval Ravikant
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Flowgem

β€œIn this paper, we propose FLOWGEM, a principled iterative method for generating a complete dataset from a dataset with values Missing at Random (MAR).”

paper: FLOWGEM: A Principled Solution for Non-Monotonic MAR Missingness in Data β€” 2026-04-09
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Predicting Properties Of Molecules With Machine Learning

by Google Brain

β€œPredicting Properties of Molecules with Machine Learning”

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Ed Far Lookups Paper On Optimization

by Ed far look

β€œthis is a famous paper by Ed far look at optimization where you can come up with circuits that will be uh potentially useful for these problems”

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React Synergizing Reasoning And Acting In Language Models

by Google Brain

β€œ# ReAct: Synergizing Reasoning and Acting in Language Models”

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Efficientdet Towards Scalable And Efficient Object Detection

by Google Brain

β€œ# EfficientDet: Towards Scalable and Efficient Object Detection”

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Deciphering Language Processing In The Human Brain Through Llm Representations

by Google Brain

β€œ# Deciphering language processing in the human brain through LLM representations”

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Imagetext Pretraining With Contrastive Captioners

by Google Brain

β€œ# Image-Text Pre-training with Contrastive Captioners _Blog post by Google Brain_”

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Selfsupervised Learning Advances Medical Image Analysis

by Google Brain

β€œ# Self-Supervised Learning Advances Medical Image Analysis”

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Youraicompanion

by Mustafa Suleyman

β€œhttps://mustafa-suleyman.ai/your-ai-companion”

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A More Personal Ai For All

by Mustafa Suleyman

β€œA more personal AI for all”

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Containment For Ai How To Adapt A Cold War Strategy To A New Threat

by Mustafa Suleyman

β€œ# Containment for AI - how to adapt a Cold War strategy to a new threat _Blog post by Mustafa Suleyman_”

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Quiks

β€œTo address this issue, we propose QuIKS, an instant key supply scheme based on adaptive buffering, offering the dominant advantage of near-zero key supply latency while consuming ultra-low key resourc…”

paper: QuIKS Achieves Near-Zero Latency Key Supply in QKD Networks with 10x Buffer Reduction β€” 2026-04-13
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Arxiv241109256

β€œWe have shown in a previous work arxiv:2411.09256 that types are represented by boolean functions called type functions, and that each such function is characterized by a related structure poset.”

paper: Order-Theoretic Framework Characterizes Signalling in Higher-Order Quantum Maps via Structure Posets β€” 2026-04-13
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Phys Rev Lett 119 220603 2017

β€œWe derive the volume-law coefficient of the entanglement entropy by generalizing the mean-field approach from [Phys. Rev. Lett. 119, 220603 (2017)]”

paper: Bose-Hubbard Eigenstate Entanglement Entropy Robust to Disorder, with Nontrivial Subleading Terms β€” 2026-04-13
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Phys Rev B 110 235154 2024

β€œwhich agrees with previous analytical and numerical results from [Phys. Rev. B 110, 235154 (2024)]”

paper: Bose-Hubbard Eigenstate Entanglement Entropy Robust to Disorder, with Nontrivial Subleading Terms β€” 2026-04-13
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Raz And Tal Stoc 2019

β€œWe use this to show that $(\mathsf{BPP}^{\mathsf{IQP}})^O \not\subseteq \mathsf{PH}^O$ relative to an oracle $O$, strengthening the result of Raz and Tal (STOC 2019).”

paper: IQP Circuits Solve 2-Forrelation with Minimal Quantum Resources β€” 2026-04-17
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Reinforcement Learning Systemtheoretic Process Analysis Rlstpa

β€œThis paper introduces Reinforcement Learning System-Theoretic Process Analysis (RL-STPA), a framework that adapts conventional STPA's systematic hazard analysis to address RL's unique challenges throu…”

paper: RL-STPA: Enhancing Safety Analysis for Reinforcement Learning in Critical Systems β€” 2026-04-17
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Prism

β€œThis paper presents Prism, the first symbolic superoptimizer for tensor programs. The key idea is sGraph, a symbolic, hierarchical representation that compactly encodes large classes of tensor program…”

paper: Prism: A Symbolic Superoptimizer for Efficient Tensor Program Optimization β€” 2026-04-17
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Interrogative Uncertainty Quantification Iuq

β€œTo tackle this challenge, this paper introduces Interrogative Uncertainty Quantification (IUQ), a novel framework that leverages inter-sample consistency and intra-sample faithfulness to quantify the …”

paper: Interrogative Uncertainty Quantification for Long-Form LLM Generation β€” 2026-04-17
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Longact

β€œBased on this insight, we propose LongAct, a strategy that shifts from uniform to saliency-guided sparse updates. By selectively updating only the weights associated with these significant activations…”

paper: LongAct: Saliency-Guided Sparse Updates for Long-Context Reinforcement Learning in LLMs β€” 2026-04-17
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Flow Matching

β€œFlow matching retains the generation quality of diffusion models while enabling substantially faster inference, making it a compelling paradigm for generative modeling.”

paper: MoE-FM Boosts Language Model Inference Speed and Quality β€” 2026-04-17
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Mixtureofexperts Flow Matching Moefm

β€œTo address these challenges, we propose a mixture-of-experts flow matching (MoE-FM) framework, which captures complex global transport geometries in latent space by decomposing them into locally speci…”

paper: MoE-FM Boosts Language Model Inference Speed and Quality β€” 2026-04-17
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Yan

β€œBuilding on MoE-FM, we develop a non-autoregressive (NAR) language modeling approach, named YAN, instantiated with both Transformer and Mamba architectures.”

paper: MoE-FM Boosts Language Model Inference Speed and Quality β€” 2026-04-17
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This Work

β€œThis work in total represents compelling evidence that adopting QEC primitives on current-generation devices can deliver substantial net benefits.”

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John Carreyrous Piece On Satoshi Nakamoto

by John Carreyrou

β€œI always find mysteries interesting and, you know, we'll see whether it was an enjoyable read. Like, I really do enjoy like the the forensic linguistics because I wonder if my footprint is just so eas…”

Recommended on Morning Brew Daily β€” 2026-04-09
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Adacubic

β€œThis makes AdaCubic an attractive option for researchers and practitioners alike.”

paper: AdaCubic: Adaptive Cubic Regularization Optimizer with Fixed Hyperparameters Outperforms Baselines in Deep Learning β€” 2026-04-13
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Arxiv250611576

by Claudon et al.

β€œIn this work, we construct and simulate an explicit circuit level implementation of a quantum Metropolis-Hastings algorithm based on the framework introduced by Claudon \emph{et al.} (arXiv:2506.11576…”

paper: Circuit Implementation of Quantum Metropolis-Hastings for Stationary Distribution Preparation β€” 2026-04-17
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Theorem 101 Of Jordan Et Al

by Jordan et al.

β€œThe best existing answer is provided by Theorem 10.1 of Jordan et al., yet we show that this answer systematically underestimates the extent of quantum advantage.”

paper: Refined Quantum Advantage in Decoded Quantum Interferometry β€” 2026-04-17
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Our Findings Highlight The Advantages Of Our Approach And Suggest Promising Advancements In The Field Of Quantum Lidar Sensing Technology Providing A Pathway For More Accurate And Sensitive Measurement Capabilities

β€œOur findings highlight the advantages of our approach and suggest promising advancements in the field of quantum LiDAR sensing technology, providing a pathway for more accurate and sensitive measureme…”

paper: Enhanced Quantum LiDAR Resolution with Z4n-Detection β€” 2026-04-17
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How To Give Your Team The Feedback They Actually Need

by Marcus Buckingham

β€œBlog post by Marcus Buckingham”

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Visor

β€œTo address these challenges, we propose VISOR (Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning), a unified single-agent framework.”

paper: VISOR Overcomes Visual Evidence Sparsity and Search Drift in Agentic VRAG for Superior Long-Horizon Reasoning β€” 2026-04-13
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Vidoseek

β€œExtensive experiments on ViDoSeek, SlideVQA, and MMLongBench demonstrate that VISOR achieves state-of-the-art performance”

paper: VISOR Overcomes Visual Evidence Sparsity and Search Drift in Agentic VRAG for Superior Long-Horizon Reasoning β€” 2026-04-13
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Slidevqa

β€œExtensive experiments on ViDoSeek, SlideVQA, and MMLongBench demonstrate that VISOR achieves state-of-the-art performance”

paper: VISOR Overcomes Visual Evidence Sparsity and Search Drift in Agentic VRAG for Superior Long-Horizon Reasoning β€” 2026-04-13
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Mmlongbench

β€œExtensive experiments on ViDoSeek, SlideVQA, and MMLongBench demonstrate that VISOR achieves state-of-the-art performance”

paper: VISOR Overcomes Visual Evidence Sparsity and Search Drift in Agentic VRAG for Superior Long-Horizon Reasoning β€” 2026-04-13
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Splitevolution Quantum Phase Estimation Seqpe

β€œOver a range of FeMoco active spaces, SE-QPE reduces time evolution resources, with asymptotic reductions of about 33% in CX count, 25% in $T$ count, and an asymptotic depth ratio of $3/N$ for CX laye…”

paper: Split-Evolution QPE Reduces Quantum Resource Overhead β€” 2026-04-17
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Summeval

β€œWe present a two-pronged diagnostic toolkit applied to SummEval”

paper: Diagnosing LLM Judge Reliability with Conformal Prediction and Transitivity Analysis β€” 2026-04-17
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Hartigans Algorithm

by Hartigan

β€œIt has become clear that Hartigan's algorithm (1975) gives better results in almost all cases”

paper: Minor Variant of Hartigan's k-Means Outperforms by Extra 2-5% β€” 2026-04-25
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Before We Start On Quantum

by Scott Aaronson

β€œBefore we start on quantum”

blog: Cognitive Biases Hinder Quantum Computing Understanding β€” by Scott Aaronson β€” 2026-04-07
Endorsed by Scott Aaronson
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