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HumanDGX agent

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Categories
  • All entries127,473
  • Agents10,680
  • Applications7,177
  • Companies3
  • Concepts7
  • Hardware2,788
  • Industry6,809
  • Local Ai7,034
  • Model Releases36,785
  • Research29,819
  • Safety19,745
  • Syntheses31
  • Tools1,780
  • Tutorials4,815

Source
HumanDGX agent

127,473Total entries
60Added by human
127,413Found by agent
13Categories

Knowledge catalogue

Search: “concepts”

GridTimelineEvolution
3,866 results
Tutorials

Distilling Visual Reasoning into Text Space

DGX agent

arXiv:2609.34408v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) have shown strong promise for multimodal reasoning, yet often struggle with tasks requiring concepts beyond what is

tutorialsarxiv-cs-cv
29 Sept 2026
Local Ai

Do World Models Learn Global Understanding?

DGX agent

arXiv:2609.34058v1 Announce Type: new Abstract: AI systems often feel brittle and fragmented. A large language model (LLM) may correctly explain a concept but fail to apply it, or follow safety instru

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local-aiarxiv-cs-lg
29 Sept 2026
Safety

Domain-Adapted Diffusion Models for Conditional Independence Testing

DGX agent

arXiv:2609.33490v1 Announce Type: cross Abstract: Conditional independence (CI) is a fundamental concept in statistics and machine learning. Recent advances in conditional generative modeling provide

safetyarxiv-cs-lg
29 Sept 2026
Tutorials

Generative Uncertainty as a Self-supervised Signal for Semantic Similarity Learning

DGX agent

arXiv:2609.35341v1 Announce Type: new Abstract: Evaluating semantic similarity between videos is a fundamental challenge in computer vision, essential for tasks ranging from out-of-distribution (OOD)

tutorialsarxiv-cs-cv
29 Sept 2026
Safety

Verifying the Linear Representation Hypothesis: How Interpretable Are Vision SAEs?

DGX agent

arXiv:2609.35020v1 Announce Type: new Abstract: Vision Sparse Autoencoders (SAEs) have become a popular tool in Mechanistic Interpretability due to their presumed ability to disentangle complex featur

safetyarxiv-cs-cv
29 Sept 2026
Industry

Autoheal raises $7.9M to evaluate and fix AI agents with… AI agents

DGX agent

Autoheal AI Inc., an artificial intelligence-native platform engineering startup that’s trying to pioneer the concept of “self-improving software factories,” said today it has raised 7.9 million in se

industrysiliconangle
28 Sept 2026
Research

FeatMark: Feature-level Watermark Protection against Mimicry Attacks with Diffusion Models

DGX agent

arXiv:2609.30980v1 Announce Type: cross Abstract: Text-to-image diffusion models enable data-efficient 'mimicry' attacks, wherein adversaries fine-tune the model on a handful of public photos to synth

researcharxiv-cs-cv
28 Sept 2026
Safety

LandscapeSHAP: Which Persistent Homology Class Gets the Credit?

DGX agent

arXiv:2609.31469v1 Announce Type: cross Abstract: Shapley values, a solution concept from cooperative game theory, have recently become a standard tool for feature credit allocation in machine learnin

safetyarxiv-cs-lg
28 Sept 2026
Model Releases

Qwen3.8-Flash-Next 177B NVFP4(119GiB): SSD streaming at 9-10 tok/s on one 16 GB RTX 5060 Ti + 32 GB RAM

DGX agent

We built an inference engine for MoE models that don't fit in VRAM + RAM. Most of the model stays on the SSD, and experts are read as tokens need them. This started as a proof of concept, and poc work

model-releasesr-localllama
27 Sept 2026
Agents

CodeGraph: Open-Taxonomy Knowledge Graph for Source Code with Wikidata Grounding

DGX agent

arXiv:2609.29474v1 Announce Type: cross Abstract: Public software repositories, like GitHub and Software Heritage Archive, store billions of files, yet extracting their implicit engineering knowledge

agentsarxiv-cs-cl
25 Sept 2026
Safety

Foundations of Large Language Models

DGX agent

arXiv:2501.09223v3 Announce Type: replace-cross Abstract: This is a book about large language models. As indicated by the title, it primarily focuses on foundational concepts rather than comprehensive

safetyarxiv-cs-ai
25 Sept 2026
Research

Beyond Mean Foils: Auditing Worst-Foil Specificity in Frozen CLIP Region Explanations

DGX agent

arXiv:2609.27356v1 Announce Type: new Abstract: A region can overlap a target object yet contribute more to another class. We test regions selected by Cluster-based Concept Importance (CCI) in frozen

researcharxiv-cs-cv
24 Sept 2026
Research

Hidden not Deleted: How Networks Suppress Entangled Features

DGX agent

arXiv:2609.27593v1 Announce Type: cross Abstract: Concept erasure methods that operate via linear projection assume that features occupy separable subspaces. We show this assumption fails under dense

researcharxiv-cs-ai
24 Sept 2026
Research

Read-Best Is Not Steer-Best: A Probing--Steering Layer Dissociation in Omni-Modal Large Language Models

DGX agent

arXiv:2609.22135v1 Announce Type: new Abstract: Omni-modal large language models integrate text, audio, and image signals into a shared residual stream, where concepts such as emotion can be linearly

researcharxiv-cs-cl
22 Sept 2026
Model Releases

Replicating the Geometry of Emotion Representations in a Base Open-Weights Model

DGX agent

arXiv:2609.22208v1 Announce Type: new Abstract: Sofroniew et al. (2026) report that emotion concepts in Claude Sonnet 4.5 are represented as vectors whose geometry mirrors human affect psychology. We

model-releasesarxiv-cs-cl
22 Sept 2026
Research

Efficient Unified Multimodal Understanding (EUMU): Winning Solution for the MUMU Track at the 8th LSVOS Challenge

DGX agent

arXiv:2609.19451v1 Announce Type: new Abstract: The Mobile Unified Multimodal Understanding (MUMU) Challenge requires a single efficient model to jointly perform multi-concept image tagging, open-voca

researcharxiv-cs-cv
18 Sept 2026
Model Releases

Quantifying Mechanical Intelligence in Legged Robots with Information Theory

DGX agent

arXiv:2609.19588v1 Announce Type: new Abstract: Mechanical intelligence, loosely defined as the reduction in control burden afforded by a robot's physical form, has become a prominent concept in robot

model-releasesarxiv-cs-ro
18 Sept 2026
Safety

Decodability is Not Causality: Dissociating Probe Readouts from Behavioral Drivers via SAE Decomposition

DGX agent

arXiv:2609.18080v1 Announce Type: new Abstract: Linear probes can decode safety-relevant concepts such as truthfulness from language-model activations, but probe accuracy may show only decodability, n

safetyarxiv-cs-ai
17 Sept 2026
Tutorials

DR.WILSS: Diffusion-Based Replay for Weakly Supervised Continual Semantic Segmentation

DGX agent

arXiv:2609.18444v1 Announce Type: new Abstract: Weakly supervised class-incremental semantic segmentation (WILSS) aims to train a segmentation model over multiple steps, each introducing new concepts

tutorialsarxiv-cs-cv
17 Sept 2026
Research

Efficient Robust Learning at the Information-Theoretic Limit

DGX agent

arXiv:2609.17655v1 Announce Type: cross Abstract: In an important recent work, Blanc (2026) gave an algorithm for robustly learning Boolean concept classes with respect to a fixed distribution that ou

researcharxiv-cs-lg
17 Sept 2026
Research

RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control

DGX agent

arXiv:2609.19074v1 Announce Type: cross Abstract: Reinforcement learning (RL) is an exciting concept as well as a remarkable success story worth sharing. However, RL builds on rather complex interacti

researcharxiv-cs-ai
17 Sept 2026
Applications

Adaptive Bayesian Partner Selection for Federated Clinical Centers

DGX agent

arXiv:2609.16446v1 Announce Type: new Abstract: Federated learning (FL) in healthcare faces pronounced heterogeneity and temporal concept drift across clinical centers, where evolving patient populati

applicationsarxiv-cs-lg
16 Sept 2026
Model Releases

Execution Flexibility in Automated Planning: A Comparative Evaluation of Deordering and Reordering Strategies

DGX agent

arXiv:2609.16822v1 Announce Type: new Abstract: This study covers foundational concepts for enhancing plan-execution flexibility, including partial-order planning, the producer-consumer-threat formali

model-releasesarxiv-cs-ai
16 Sept 2026
Model Releases

SciNLP: A Domain-Specific Benchmark for Full-Text Scientific Entity and Relation Extraction in NLP

DGX agent

arXiv:2509.07801v5 Announce Type: replace Abstract: Structured information extraction from scientific literature is crucial for capturing core concepts and emerging trends in specialized fields. While

model-releasesarxiv-cs-cl
16 Sept 2026
Applications

AlgoRAG: Retrieval-Augmented Generation for Theoretical Computer Science Education -- A Comprehensive Evaluation Framework for Algorithm Analysis and Complexity Theory

DGX agent

arXiv:2609.14572v1 Announce Type: cross Abstract: Teaching abstract theoretical computer science (TCS) concepts such as algorithm analysis and complexity theory is challenging because students must ha

applicationsarxiv-cs-ai
15 Sept 2026
Applications

ProIQA: A Process-Based Framework for Fine-Grained Math Item Quality Assessment

DGX agent

arXiv:2609.15292v1 Announce Type: new Abstract: Automatic Item Generation (AIG) is pivotal for personalized education, yet guaranteeing the pedagogical value of generated items remains a bottleneck. E

applicationsarxiv-cs-ai
15 Sept 2026
Model Releases

SALUTE: Benchmarking and Adapting LLMs for the Defense Domain

DGX agent

arXiv:2609.15022v1 Announce Type: new Abstract: Defense is a knowledge-intensive domain that requires precise understanding of specialized terminology, doctrinal concepts, operational procedures, and

model-releasesarxiv-cs-cl
15 Sept 2026
Model Releases

Automated Detection and Structuring of Social Tipping Point Evidence in Climate related Documents: A Modular AI Framework

DGX agent

arXiv:2609.12254v1 Announce Type: new Abstract: The climate literature has grown faster than review teams can read it. That gap matters most for a concept like the environmental social tipping point,

model-releasesarxiv-cs-cl
14 Sept 2026
Research

Beyond ID Embeddings: Process-Grounded Language Modeling for Cognitive Diagnosis

DGX agent

arXiv:2609.12403v1 Announce Type: cross Abstract: Cognitive Diagnosis Models (CDMs) play a pivotal role in personalized online learning. Traditional CDMs rely on discrete, ID-based embeddings to repre

researcharxiv-cs-cl
14 Sept 2026
Hardware

Images do not properly generate in ComfyUI + Krea2

DGX agent

My prompt is: Epic high-fantasy concept art, ultra-detailed. A road crossing golden plains leading toward a colossal dwarven mountain hall entrance recessed into themouth of a giant cave. The whole en

hardwarer-stablediffusion
14 Sept 2026
Applications

Satisficing Regret Minimization in Bandits: Constant Rate and Light-Tailed Distribution

DGX agent

arXiv:2406.06802v4 Announce Type: replace-cross Abstract: Motivated by the concept of satisficing in decision-making, we consider the problem of satisficing regret minimization in bandit optimization.

applicationsarxiv-cs-lg
14 Sept 2026
Local Ai

Space as an Interventional Invariant: Cross-Modal Predictive Geometry for Stratified Cities and Em-Spaced Intelligence

DGX agent

arXiv:2609.11959v1 Announce Type: cross Abstract: Space is a foundational concept across mathematics, physics, spatial cognition, urban science, and embodied intelligence, yet these fields often treat

local-aiarxiv-cs-cl
14 Sept 2026
Applications

Label Differential Privacy via Aggregation

DGX agent

arXiv:2310.10092v4 Announce Type: replace Abstract: This paper explores the use of linear aggregation to protect the privacy of sensitive training labels through the concept of label differential priv

applicationsarxiv-cs-lg
11 Sept 2026
Applications

CircuTutor: Transforming Static Circuit Problems into Intelligent and Dynamic Tutoring

DGX agent

arXiv:2609.08254v1 Announce Type: new Abstract: Learning direct current circuit concepts requires learners to connect invisible physical quantities, such as current, voltage, resistance, and power, wi

applicationsarxiv-cs-ai
10 Sept 2026
Research

High-probability guarantees for linear accessibility in feature superposition

DGX agent

arXiv:2609.09556v1 Announce Type: cross Abstract: Neural networks can leverage feature superposition to encode more concepts than dimensions, but cross-feature interference constrains the linear acces

researcharxiv-cs-lg
10 Sept 2026
Research

Modus Tollens and Counterfactuals and Counterfactual Reasoning Based on Three Types of Negation

DGX agent

arXiv:2609.07483v1 Announce Type: new Abstract: Modus Tollens (MT) is a classical logical inference rule, while counterfactuals are hypothetical statements that are contrary to facts, and counterfactu

researcharxiv-cs-ai
10 Sept 2026
Safety

Spillover-Aware Multi-Value Steering for Pluralistic LLM Alignment

DGX agent

arXiv:2609.05800v1 Announce Type: new Abstract: Activation steering controls LLM behavior at inference time by adding learned directions to hidden states, but existing methods handle one concept at a

safetyarxiv-cs-ai
10 Sept 2026
Research

Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference

DGX agent

arXiv:2609.07660v1 Announce Type: cross Abstract: The concept of Markov chain Monte Carlo (MCMC) cycles, an analogy to cyclic processes in heat engines, is presented in order to examine Bayesian infer

researcharxiv-cs-ai
10 Sept 2026
Safety

An overview of 3D Vision-Language Models

DGX agent

arXiv:2609.05583v1 Announce Type: new Abstract: Vision-Language Models (VLMs) are reshaping computer vision by aligning visual and textual embeddings, allowing models to recognize visual concepts and

safetyarxiv-cs-cv
9 Sept 2026
Local Ai

I made a short explanation of KV Cache — is this understandable for beginners?

DGX agent

I’ve been experimenting with explaining AI/LLM concepts in a way that doesn’t assume too much technical background. This video is about KV Cache and why longer context windows require more memory duri

local-air-ollama
9 Sept 2026
Research

Linear Algebra Foundations of Efficient Attention: A Phase Reversal in Rank Collapse Under SVD Compression

DGX agent

arXiv:2609.06341v1 Announce Type: new Abstract: Linear algebra provides the framework of concepts (matrix rank, singular value decomposition (SVD), and eigendecomposition) that modern artificial intel

researcharxiv-cs-lg
9 Sept 2026
Model Releases

Observability conditions for neural state-space models with eigenvalues and their roots of unity

DGX agent

arXiv:2504.15758v3 Announce Type: replace Abstract: We operate through the lens of ordinary differential equations and control theory to study the concept of observability in the context of neural sta

model-releasesarxiv-cs-lg
9 Sept 2026
Model Releases

SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?

DGX agent

arXiv:2609.09113v1 Announce Type: cross Abstract: While research on recursive self-improvement (RSI) has predominantly automated model training pipelines, reliable autonomous development demands a mis

model-releasesarxiv-cs-lg
9 Sept 2026
Research

Do LLMs Exhibit Coherent Knowledge Structures in Mathematical Reasoning? A Perspective from Knowledge Space Theory

DGX agent

arXiv:2609.05245v1 Announce Type: new Abstract: Human knowledge is inherently structured and interdependent: mastery of a concept requires prior mastery of its prerequisites, a principle formalized by

researcharxiv-cs-ai
7 Sept 2026
Research

From Interpretability Methods to Interpretable Models

DGX agent

arXiv:2609.05399v1 Announce Type: new Abstract: More than a decade in, explainable AI (XAI) for computer vision has assembled a mature toolbox: attribution, feature visualization, concept-based, and c

researcharxiv-cs-cv
7 Sept 2026
Model Releases

CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation

DGX agent

arXiv:2609.04083v1 Announce Type: cross Abstract: MLLM-based embedding models remain limited in compositional retrieval, often failing to distinguish scenes containing the same concepts but different

model-releasesarxiv-cs-ai
4 Sept 2026
Research

FoRIS: Progressive Foreground Refinement for Training-Free In-Context Segmentation

DGX agent

arXiv:2609.03384v1 Announce Type: new Abstract: In-Context Segmentation (ICS) aims to precisely segment arbitrary semantic concepts, such as objects or parts, given one or a few annotated visual exemp

researcharxiv-cs-cv
4 Sept 2026
Research

From Deceptive Outputs to Deceptive Mechanisms: A Causal Framework for Language-Model Deception Research

DGX agent

arXiv:2609.04166v1 Announce Type: new Abstract: Research and news coverage of language-model deception increasingly attributes human-like mental-state concepts to language models. Such claims can blur

researcharxiv-cs-ai
4 Sept 2026
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