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  • Model Releases36,904
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HumanDGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

Source
HumanDGX agent

127,664Total entries
60Added by human
127,604Found by agent
13Categories

Knowledge catalogue

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GridTimelineEvolution
127,664 results
Model Releases

What's the best setup for Qwen3.8 27b for a 16 gig VRAM?

DGX agent

Hello guys! I have been experimenting with qwen 3.8 for a long time and I hadn't been able to get reasonable speed. I am on a 5060Ti 16 GB, and although this gpu can game, I am aware that AI demands m

model-releasesr-localllama
1 Oct 2026
Research
Content type
AllBlogX PostPaperYouTubeRedditGitHub

When a Flatness Proxy Is Not a Function: Robustness Certificates and Training Interventions

DGX agent

arXiv:2609.38540v1 Announce Type: new Abstract: A valid curvature upper bound need not justify either a robustness certificate or an intervention on an intrinsic predictor property. We demonstrate thi

researcharxiv-cs-lg
1 Oct 2026
Model Releases

When a Kindergartener Solves Calculus: Measuring Capability Leakage in Role-Prompted Reasoning Models

DGX agent

arXiv:2609.39846v1 Announce Type: cross Abstract: We investigate the problem of role-capability leakage (RCL), in which a role-prompted reasoning model generates convincing in-role text while continui

model-releasesarxiv-cs-ai
1 Oct 2026
Research

When Can Text Replace Vision? Structural Bottlenecks in Diagram Reasoning

DGX agent

arXiv:2609.39142v1 Announce Type: new Abstract: Can structured text replace vision for diagram reasoning? A wrong answer after textualization can arise because the representation omits information the

researcharxiv-cs-cv
1 Oct 2026
Safety

When Clipping Reverses Correction: Failure Dynamics of Pointwise Forward-KL On-Policy Self-Distillation

DGX agent

arXiv:2609.38995v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) trains a student on its own generated responses using feedback from the same model conditioned on privileged informat

safetyarxiv-cs-cl
1 Oct 2026
Model Releases

When Context Changes: Understanding Update Failures in LLMs

DGX agent

arXiv:2609.38866v1 Announce Type: new Abstract: As preferences, goals, and facts change, LLM agents must use the current state while earlier versions remain in context. Yet they can answer with an old

model-releasesarxiv-cs-ai
1 Oct 2026
Tutorials

When Correct Memory Goes Wrong: Fuzzing Persistent Memory Use in LLM Agents

DGX agent

arXiv:2609.38275v1 Announce Type: cross Abstract: Persistent memory helps LLM agents carry information across long interactions, but correct memory can still be used incorrectly when queries change or

tutorialsarxiv-cs-ai
1 Oct 2026
Agents

When Does a Spoken Agent Have Enough Evidence to Act? The PACT-SLM Contract Test

DGX agent

arXiv:2609.38232v1 Announce Type: cross Abstract: Streaming spoken agents may take an external action before the available speech supports it, yet final-turn scores do not reveal whether each observed

agentsarxiv-cs-cl
1 Oct 2026
Agents

When Does Randomized Oversight Align AI Agents That Can Conceal?

DGX agent

arXiv:2609.38262v1 Announce Type: cross Abstract: Oversight changes the evidence it relies on. We ask when randomized audits and scoring align AI agents that can conceal misconduct and alter records.

agentsarxiv-cs-ai
1 Oct 2026
Safety

When Instructions Retrieve Trajectories: Diagnosing and Mitigating Generalization Failures in VLA Models

DGX agent

arXiv:2609.39971v1 Announce Type: cross Abstract: Vision-language-action (VLA) models can exceed 90% success on in-distribution tasks and withstand nuisance changes that preserve the required action,

safetyarxiv-cs-lg
1 Oct 2026
Research

When Integral Meets Decomposition: A Signal-Level Self-Supervised Feature Decompose Paradigm for Multi-Modal Image Fusion

DGX agent

arXiv:2609.39004v1 Announce Type: new Abstract: Multimodal image fusion (MMIF) aims to integrate complementary information from different modalities into a high-quality fused image and support downstr

researcharxiv-cs-cv
1 Oct 2026
Hardware

When Masking Helps or Hurts Robustness in Compressed CLIP: A Pre-Deployment Diagnostic

DGX agent

arXiv:2609.39704v1 Announce Type: cross Abstract: This paper demonstrate that whether masking-based token pruning helps or hurts worst-group robustness can be predicted before deployment, without labe

hardwarearxiv-cs-ai
1 Oct 2026
Model Releases

When, Not How Much: Evaluating Time-Series Foundation Models on Sparse Events

DGX agent

arXiv:2609.39386v1 Announce Type: new Abstract: Pretrained time-series foundation models (TSFMs) are evaluated as forecasters of future values, yet for sparse series many decisions depend only on whic

model-releasesarxiv-cs-lg
1 Oct 2026
Safety

When Order Matters: First-Speaker Bias and Mitigation through Personality in Sequential Multi-Agent Debate

DGX agent

arXiv:2609.38964v1 Announce Type: new Abstract: Multi-agent debate (MAD) is often used to improve large language model (LLM) reasoning, but sequential debate is rarely a neutral aggregator of agents'

safetyarxiv-cs-ai
1 Oct 2026
Research

When Reasoning Goes Astray: Attention Dynamics of Uncontrolled Reasoning

DGX agent

arXiv:2609.38817v1 Announce Type: new Abstract: Large reasoning models (LRMs) improve performance on complex tasks through extended reasoning, yet the same process can degenerate into redundant verifi

researcharxiv-cs-ai
1 Oct 2026
Model Releases

When Scientific Contradictions Are Lost in Translation

DGX agent

arXiv:2609.38621v1 Announce Type: new Abstract: Two scientific findings can disagree without contradicting each other. Determining whether they conflict requires knowing whether they describe comparab

model-releasesarxiv-cs-ai
1 Oct 2026
Research

When the Right Answer Is Missing: An Arithmetic-Dependent Rejection Bottleneck in Jev

DGX agent

arXiv:2609.39496v1 Announce Type: cross Abstract: Typed decision models such as Jev offer an efficient alternative to generative LLMs in decision-making workflows by selecting directly from predefined

researcharxiv-cs-cl
1 Oct 2026
Model Releases

Where MLLMs Fail and Why: Causal Task Decomposition for Capability Failure Diagnosis

DGX agent

arXiv:2609.38851v1 Announce Type: cross Abstract: End-to-end accuracy on compositional tasks records how often MLLMs fail, but cannot distinguish whether a failure reflects an intrinsic deficit in the

model-releasesarxiv-cs-ai
1 Oct 2026
Model Releases

Where Scientific Search Agents Fail: Decision-Checkpoint Auditing of Exposure and Inspection Attempts

DGX agent

arXiv:2609.38670v1 Announce Type: new Abstract: Final-answer accuracy does not reveal whether a scientific-search agent failed to encounter a target paper, attempt to inspect it, or return an accepted

model-releasesarxiv-cs-ai
1 Oct 2026
Agents

Where the Evidence Lives: Auditing AI Companions' Self-Descriptions

DGX agent

arXiv:2609.38753v1 Announce Type: cross Abstract: Companion agents describe themselves: they remember, they understand their users, the relationship has changed them. We argue that such accounts, and

agentsarxiv-cs-ai
1 Oct 2026
Research

Which Models Work Well Together? Measuring Heterogeneity for LLM Team Selection

DGX agent

arXiv:2609.38274v1 Announce Type: new Abstract: The performance ceiling of an LLM team is constrained not only by individual model capabilities, but also by inter-member error resonance and predictive

researcharxiv-cs-cl
1 Oct 2026
Research

Which Tasks Survive Self-Supervised Learning?

DGX agent

arXiv:2609.38393v1 Announce Type: cross Abstract: Same-instance self-supervised learning (SSL) learns representations by enforcing consistency across two views of the same underlying instance. This pr

researcharxiv-cs-ai
1 Oct 2026
Research

Whitening Improves Robustness to Spurious Correlations in Linear Probes

DGX agent

arXiv:2609.39177v1 Announce Type: new Abstract: Deep neural networks tend to rely on simple features that may be spurious and thus fail to generalize. We study this problem in the setting of linear pr

researcharxiv-cs-lg
1 Oct 2026
Research

Who Owns That? Evaluating Ownership Intuitions in Large Language Models

DGX agent

arXiv:2609.39483v1 Announce Type: new Abstract: Ownership establishes rights over the use, control, and transfer of objects. Understanding these relations is essential for AI systems to interact appro

researcharxiv-cs-ai
1 Oct 2026
Model Releases

Who Said What, and Will It Be Remembered? Evaluating Persistent Speaker Attribution Across Meetings

DGX agent

arXiv:2609.39344v1 Announce Type: cross Abstract: Speech transcripts used as long-term memory must preserve both words and stable speaker identities. Existing meeting-transcription metrics either igno

model-releasesarxiv-cs-ai
1 Oct 2026
Model Releases

Who Verifies the Graph? Misspecification Attacks on Causal Action Verification for Language Agents

DGX agent

arXiv:2609.40027v1 Announce Type: new Abstract: Causal action verifiers gate an agent's state-changing tool calls by checking whether each proposed intervention is identifiable against a committed act

model-releasesarxiv-cs-ai
1 Oct 2026
Safety

Whose Voice Survives the Summary? A Voice-Retention Audit of LLM Employee Listening

DGX agent

arXiv:2609.38818v1 Announce Type: new Abstract: Organizations increasingly route employee feedback to leaders through large language model (LLM) summaries, an unaudited layer that silences already-spo

safetyarxiv-cs-ai
1 Oct 2026
Model Releases

Why am I like this? (Full Chat and Image generation on a 286 Tandy 1000 TL/3)

DGX agent

40 year tech gap? No problem! The Tandy runs DeskMind, a native DOS program. It talks over WiFi (a PicoMEM 2 card with mTCP) to a small Python server on my PC. That server drives Qwen3.8-27B (NInfer o

model-releasesr-localllama
1 Oct 2026
Tutorials

Why Do Conventional World Models Fail to Learn Cellular Automata?

DGX agent

arXiv:2609.39604v1 Announce Type: new Abstract: Although conventional world models - auto-regressive or diffusion models based on transformers or convolutional networks - may learn surface statistics

tutorialsarxiv-cs-ai
1 Oct 2026
Research

WinoTS: Wavelet-based Self-Distillation for Time Series Models

DGX agent

arXiv:2609.39337v1 Announce Type: cross Abstract: Self-supervised pre-training of time series models is currently dominated by next-token prediction and reconstruction objectives. In continuous-valued

researcharxiv-cs-ai
1 Oct 2026
Industry

With most information hidden, the game Stratego had stumped AI—until now

DGX agent

Researchers from Carnegie Mellon, MIT, NYU, and Stanford developed **Ataraxos**, a two‑neural‑network AI that defeated top human Stratego player Pim Niemeijer 15‑to‑1 (with four draws). The key innova

industryars-technica
1 Oct 2026
Model Releases

WorkGenesis: Building the Worlds That Teach Agents to Work

DGX agent

arXiv:2609.39325v1 Announce Type: new Abstract: The ability of Large Language Model (LLM) agents to complete daily and professional work is receiving increasing attention. Training such agents require

model-releasesarxiv-cs-ai
1 Oct 2026
Model Releases

Working Around the Compute Ceiling: Byte-Exact Memory in Galahad Makes LLM Reading a One-Time Cost LLM Reading a One-Time Cost

DGX agent

arXiv:2609.39358v1 Announce Type: cross Abstract: A transformer language model performs a bounded amount of computation per token, and recent work by Vishal Sikka, former CEO of Infosys, argues that t

model-releasesarxiv-cs-ai
1 Oct 2026
Safety

World-as-Graph: Relational World Modeling Through Latent Space Graphs

DGX agent

arXiv:2609.38927v1 Announce Type: cross Abstract: World models aim to learn representations of real-world environments and predict their future evolution. Recent object-centric world models have made

safetyarxiv-cs-cv
1 Oct 2026
Model Releases

WorldAuditBench: Interactive 3D World Auditing with Multimodal Agents

DGX agent

arXiv:2609.40325v1 Announce Type: new Abstract: As interactive 3D worlds are increasingly used to study intelligent behavior, it becomes important to develop efficient pipelines for identifying anomal

model-releasesarxiv-cs-ai
1 Oct 2026
Research

X-Planner: Event-Structured Task Planning for Embodied Intelligence

DGX agent

arXiv:2609.25187v2 Announce Type: replace Abstract: Task planning bridges high-level instructions and executable behavior in long-horizon manipulation, yet modern Vision-Language-Action (VLA) systems

researcharxiv-cs-ai
1 Oct 2026
Model Releases

Yggdrasil: a Layer-First 3D Scene Graph for Real-Time Querying

DGX agent

arXiv:2609.38640v1 Announce Type: new Abstract: Robotic agents use 3D scene graphs (3DSG) to perform tasks ranging from scene understanding to scene interaction. Although an extensive body of work add

model-releasesarxiv-cs-ro
1 Oct 2026
Industry

You should be able to use your AI subscription wherever you need:

DGX agent

You should be able to use your AI subscription wherever you need: I am going to try and answer a bunch of questions that people have raised about Sign in with ChatGPT in the next couple of days. Befor

industrysam-altman--x
1 Oct 2026
Agents

You're Hired: Strategic Model Selection for LLM Collaboration

DGX agent

arXiv:2609.38816v1 Announce Type: new Abstract: While multi-agent and model collaboration algorithms gain traction to combine the strengths of diverse Large Language Models (LLMs), existing systems re

agentsarxiv-cs-cl
1 Oct 2026
Safety

Zero-Compute Cross-Lingual Transferability Estimation Using Typological Feature Proxies

DGX agent

arXiv:2609.39640v1 Announce Type: cross Abstract: Cross-lingual transfer describes how knowledge in a source language benefits a target language. Measuring it quantitatively requires broad multilingua

safetyarxiv-cs-ai
1 Oct 2026
Model Releases

Zero2Repo: Can Coding Agents Build Repositories from Scratch?

DGX agent

arXiv:2609.38269v1 Announce Type: cross Abstract: Coding agents are increasingly asked to build software rather than patch it, yet benchmarks for from-scratch repository construction are mostly limite

model-releasesarxiv-cs-ai
1 Oct 2026
Local Ai

3 models are now available on Ollama for use with /v1/systemone: • Nimble: https://ollama.com/library/nimble • Tev1 4b: https://ollama.com/l…

DGX agent

3 models are now available on Ollama for use with /v1/systemone: • Nimble: https://ollama.com/library/nimble • Tev1 4b: https://ollama.com/library/tev1:4b • Tev1 0.8b: https://ollama.com/library/tev1:

local-aiollama--x
30 Sept 2026
Model Releases

A Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court System

DGX agent

arXiv:2609.37783v1 Announce Type: cross Abstract: Photographic evidence is becoming increasingly vulnerable to forms of alteration and fabrication that existing legal and technical workflows are not w

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

A Character-Level Neural Approach to Sinhala Sandhi Splitting

DGX agent

arXiv:2609.36131v1 Announce Type: new Abstract: Sinhala Sandhi splitting recovers the constituent words or morphemes hidden inside a phonologically merged surface form. The task is important for Sinha

model-releasesarxiv-cs-cl
30 Sept 2026
Safety

A Comprehensive View of Fairness through Distributional Stability

DGX agent

arXiv:2609.37061v1 Announce Type: cross Abstract: We view fairness as a property of distributional stability. Rather than assessing a predictor under a fixed data distribution, we study how its predic

safetyarxiv-cs-ai
30 Sept 2026
Tutorials

A Digital Simulation Toolkit for Physics-Based Generation of Realistic Experimental Scanning Tunneling Microscopy Images

DGX agent

arXiv:2609.36639v1 Announce Type: new Abstract: Scanning Tunneling Microscopy (STM) is a widely used tool for characterizing surfaces of materials at the atomic scale, playing a crucial role in discov

tutorialsarxiv-cs-lg
30 Sept 2026
Model Releases

A Dual-Track Curation-and-Classification Framework for Resolving Ground-Truth Label Noise in Operational Sentinel-2 Wheat Area Estimation

DGX agent

arXiv:2609.36975v1 Announce Type: new Abstract: Operational estimation of wheat-cultivated area is persistently constrained by discordance between administrative record-keeping and remotely sensed cla

model-releasesarxiv-cs-cv
30 Sept 2026
Research

A Finslerian Approach for Embedding Directed Data

DGX agent

arXiv:2609.37649v1 Announce Type: cross Abstract: Many datasets carry an intrinsic directionality: citations point backward in time, cells differentiate along lineages, and traffic follows preferred r

researcharxiv-cs-lg
30 Sept 2026
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