Every paper checked — nothing hidden
All papers
Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.
All17,312In brief24More (on-topic)3,333Not relevant13,753Not assessed87Older351Could not confirm93Blogs with no paper266All blogs284
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| MedHarnessBench: A Unified Benchmark for Healthcare Agent Evaluation The paper presents an evaluation benchmark assessing seven clinical process dimensions for healthcare agents across longitudinal workflows. Ranked #53New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents MedHarnessBench to benchmark healthcare agent decision processes across executable clinical tasks. | |
| Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models The paper re-evaluates the pretraining compute scaling laws between diffusion and autoregressive language models using modern diffusion training designs. Ranked #53Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Examines compute efficiency and scaling laws for pretraining diffusion language models. | |
| SAEC: Scene-Aware Enhanced Edge-Cloud Collaborative Industrial Vision Inspection with Multimodal LLM The paper proposes an edge-cloud collaborative inspection framework using multimodal LLMs dynamically scheduled based on scene complexity. Ranked #53New way to see a problemPeer-reviewed6/10 suggestedOlder paper (2025) Older paper (2025) — discussed this week | Computer vision for industrial applications via ieee · 12 Oct, 16:29 | On-topic Focuses on edge-cloud multimodal inspection for industrial surface defects on MVTec AD and KSDD2. | |
| NativeScope: Relation-Localized Retrieval over Native Topology with a Correct Anchor Proposes a scope-then-rank retrieval method using document topology and relational structure rather than pure semantic similarity. Ranked #53Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Improves dense retrieval and chunking by scoping via document topology for RAG. | |
| Diviner: Agentic RCA with Human-Governed Adaptation for Large-Scale Infrastructure Presents an agentic system with human-governed adaptation to automate root-cause analysis across complex, large-scale infrastructure environments. Ranked #54New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Addresses reliability, stale context risks, and human-governed controls for enterprise agent deployment. | |
| Poison Valleys: Diagnosing Path-Dependent Failure in LLM Code Repair Analyzes how misconceptions in early planning stages cause cascading failures during automated code repair by language model agents. Ranked #54New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Directly studies LLM failure modes and mechanisms in automated code repair. | |
| Structure Before Intelligence: Gating What Agentic Scientific Workflows Release The paper proposes an execution harness that validates intermediate results before allowing scientific agent workflows to release outputs. Ranked #54Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Examines reliable execution and failure gating in agentic scientific workflows. | |
| Meta-Video: Efficient Standardized Evaluation for Video Understanding Evaluates video benchmarks, showing that unexamined setup choices shift accuracy significantly and proposing a standardized evaluation framework. Ranked #54Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Introduces a standardized evaluation benchmark specifically for video-language multimodal models. | |
| Agent-Canary-Mas: End-to-End Evaluation of Protocol Risk in Long-Horizon Multi-Agent Systems The paper introduces an evaluation framework measuring how communication protocol exploits propagate into task failures across multi-agent systems. Ranked #54New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Provides a comprehensive benchmark framework assessing protocol risks in multi-agent setups. | |
| When Does Compensating Inherited Quantization Error Help? Mean-Square Guarantees for Layer-Wise Quantization and Their Limits The paper provides theoretical mean-square error guarantees and bounds for layer-wise quantization error compensation across linear and non-linear networks. Ranked #54Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Provides theoretical mean-square error guarantees and bounds for layer-wise post-training quantization. | |
| A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts The paper systematically reviews deep learning methods for image anomaly detection in industrial manufacturing inspection. Ranked #54Peer-reviewed0/10 suggestedOlder paper (2025) Older paper (2025) — discussed this week | Computer vision for industrial applications via blog · 12 Oct, 16:38 | On-topic Surveys deep learning anomaly detection and surface defect detection methods for industrial manufacturing inspection. | |
| SEEDS: Preview-Guided Evidence Admission for Search Agents Introduces a preview-guided admission framework allowing search agents to selectively incorporate retrieved candidates into the ongoing reasoning context. Ranked #54New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on selective evidence retrieval and ingestion into reasoning contexts. | |
| PremiseSQL: Evaluating Premise Critique and Abstention in Text-to-SQL Systems Introduces a benchmark to evaluate whether text-to-SQL systems can detect flawed query premises and abstain from generating invalid SQL. Ranked #55New testPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Evaluates text-to-SQL systems on identifying flawed user premises and abstaining. | |
| Approve What, Exactly? Effect Binding and Trusted Rendering for Agent Step-Up Authorization Analyzes authorization security flaws in agent human-in-the-loop approval mechanisms and proposes a tamper-resistant approval gateway. Ranked #55Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Examines security vulnerabilities and proposes robust authorization defenses for deployed agents. | |
| AgentCIScope: Grounded Contextual Integrity Evaluation for LLM Agents The paper introduces an executable evaluation platform and benchmark to measure contextual integrity and privacy compliance in multi-step language model agents. Ranked #55New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Evaluates LLM agents executing multi-step tasks across application environments via tool calls. | |
| Recovering Low-Bit Failures in Vision-Language-Action Policies via Quantization-Conditioned Reinforcement Learning This paper proposes offline reinforcement learning conditioned on quantization levels to recover task completion performance in quantized vision-language-action policies. Ranked #55Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Studies low-bit quantization recovery for multimodal vision-language-action models. | |
| FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests The paper introduces a benchmark based on enterprise projects to evaluate agent performance on clarifying underspecified requirements and iterative optimization. Ranked #55New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces FDE-Bench to evaluate agent performance on underspecified business requests. | |
| Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate Introduces an adaptive multi-agent debate framework that uses a leader-supporter structure to trigger debate only when simple aggregation is insufficient. Ranked #55Surprising resultPeer-reviewed7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Optimizes multi-agent reasoning to minimize token costs and improve serving efficiency. | |
| Temporal Evidence Forests for Long-Horizon Multi-Party Conversational Memory Presents a temporal memory architecture using hierarchical tree structures to trace evolving multi-party conversational histories for agents. Ranked #55New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on retrieving and structuring conversational memory evidence across long contexts. | |
| Spurious Attention Heads in Vision Transformers: Mechanistic Identification of Annotation-Driven Bias in Medical Chest X-Ray Analysis Identifies a specific vision transformer attention head that spuriously attends to medical image corner text instead of lung pathology. Ranked #56Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Studies Vision Transformers processing image data and text annotation corner features. | |
| WEAVE: Weaving Real-World Code Evolution into Dependency-Structured Tasks for Benchmarking and Training Code Agents Introduces a benchmark that structures multi-pull-request code changes into dependency graphs to evaluate long-horizon software engineering agents. Ranked #56New testPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Builds dependency-structured benchmark and RL training tasks from multi-PR code repositories. | |
| Beyond Downstream QA: Rethinking How We Evaluate Agent Memory The paper presents a benchmark that isolates agent memory evolution from downstream retrieval and generation failures. Ranked #56Surprising resultPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Evaluates how agent memory systems track and evolve state across multi-step interactions. | |
| A Strong Harness Narrows the Model Gap: A Comparative Evaluation for Legislative Document-to-XML Conversion The paper evaluates harnesses for legislative document conversion, showing structured multi-agent pipelines narrow performance gaps between models. Ranked #56Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Provides a comparative evaluation of harness engineering versus base models. | |
| Avoiding What Your Teacher Already Knows: Entity Familiarity for Deep-Search Distillation Measures teacher entity familiarity to filter out uninformative search trajectories when distilling deep-search capabilities into smaller agents. Ranked #56New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Investigates distilling high-quality trajectories from larger teachers to student models. | |
| Knowing the User Is Not Knowing What We Established: Grounding Awareness in Personal Agents The authors introduce a benchmark to evaluate whether personal agents can distinguish accepted user arrangements from unacknowledged proposals. Ranked #56Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Prevents agents from executing unauthorized actions based on unverified proposals stored in memory. | |
| Project Greenhouse: Progress Toward Fully Open and Sovereign Agentic Search The paper describes training a competitive decoder-only search reranker from scratch using modest computational resources and common datasets. Ranked #56New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Develops decoder-only rerankers for search and retrieval from modest computational resources. | |
| Beyond Confidence: Rethinking Uncertainty Calibration in Deep Code Models This study evaluates whether confidence scores and calibration methods effectively identify failure cases in deep learning models for code tasks. Ranked #57Surprising resultPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Evaluates uncertainty calibration and selective prediction for deep code models. | |
| Believed but Not Said: Measuring Hidden Belief Collapse in Multi-Agent LLM Discussions The paper demonstrates that a single adversarial agent can cause benign models in multi-agent discussions to quietly adopt false beliefs. Ranked #57Surprising resultPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Examines failure modes and consensus dynamics in multi-agent LLM discussion systems. | |
| Lost in the Fallback: How Reliably Do Typed Decision Models Use Fallback Options? This paper evaluates how reliably typed decision models switch to fallback options and remain consistent under equivalent decision rules. Ranked #57Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces the Paired Fallback Robustness Test to evaluate decision model consistency on fallback rules. | |
| The Company a Question Keeps: Auditing Open Jev-Style Models for Retrieval This paper audits request independence in open Jev-style retrieval models across multi-passage query states. Ranked #57Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Audits passage retrieval models and query-evidence scoring independence. | |
| CacheLink: Functional KV Transport for Zero-Prefill Cross-Model Context Handoff This paper introduces a method to translate key-value caches between different language models, enabling context handoffs without reprocessing input tokens. Ranked #57Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Eliminates prefill overhead for cross-model serving, improving inference efficiency. | |
| Visual Dependence Does Not Imply Answerability: A Systematic Analysis of Answerability Signals in Frozen InstructBLIP Analyzes answerability signals in frozen visual question answering models, finding standard confidence and alignment metrics fail to reliably detect unanswerable inputs. Ranked #57Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Investigates answerability signals and visual grounding in multimodal vision-language models. | |
| Chain of Thought Monitoring Can Fail Even When CoT Is Necessary This paper shows chain-of-thought monitoring can fail even when reasoning is necessary, proposing a multi-level hierarchy to measure monitorability. Ranked #57Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Reveals limitations in using chain of thought monitoring to detect AI misbehaviour. | |
| Plausible Is Not Enough: Trust and Evidence in AI-Authored Pull Request Review The authors survey software practitioners to analyze differences in trust, evidence requirements, and review practices for AI-authored pull requests. Ranked #58New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Surveys practitioner verification and trust criteria when reviewing AI-authored pull requests. | |
| The Self-Improvement Problem The paper formalizes the theoretical limits of automated gates evaluating self-improvement updates in autonomous agent code. Ranked #58New way to see a problemPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Analyzes theoretical limits of autonomous agent self-improvement and tool updates. | |
| AgentCIScope: Grounded Contextual Integrity Evaluation for LLM Agents The paper introduces an executable evaluation platform and benchmark to measure contextual integrity and privacy compliance in multi-step language model agents. Ranked #58New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces a standardized evaluation platform and benchmark measuring agent-level contextual integrity. | |
| SSEmb: Training a Generalizable Speech Retrieval Model Using Only Automatic Speech Recognition Data The paper trains an end-to-end speech retrieval model using standard speech recognition pairs and lightweight adapters without task-specific retrieval datasets. Ranked #58New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Examines speech-to-text document retrieval to ground voice agents without needing intermediate transcription. | |
| E8 Lattice Key Quantization for Low-Bit KV-Cache Compression This paper presents a lattice vector quantization method that compresses attention key-value caches to two bits while preserving model quality. Ranked #58Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Proposes vector quantization of KV caches for efficient, low-memory LLM serving. | |
| VLA-GAUGE: Systematically Evaluating Generalization and Robustness in Vision-Language-Action Models Introduces a diagnostic evaluation framework to systematically test generalization and perturbation robustness in vision-language-action robotic models. Ranked #58New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Systematically evaluates multimodal Vision-Language-Action models across generalization tasks. | |
| Seeing Through the Forgery Is Not Enough: Regressive Sycophancy under Fabricated Evidence in Medical Vision-Language Models The authors show that medical vision-language models frequently abandon correct clinical answers when prompted with fabricated medical documents. Ranked #58Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Examines vulnerability to fabricated evidence and hallucinated diagnosis flips in safety-critical deployment. | |
| Skip the Compressor: Coding Agents Fix More Issues When They Pick Whole Files The paper shows that providing whole selected files to coding agents outperforms prompt compression and retrieval under fixed token budgets. Ranked #59Surprising resultPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Examines context management strategies to improve coding agent performance on SWE-bench. | |
| Screwtape: Adversarial Transcript Editing for Monitor Red-Teaming The paper introduces an adversarial editing pipeline that alters agent execution transcripts to red-team action-monitoring safety systems. Ranked #59Surprising resultPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Focuses on generating attacks that alter agent transcripts to evade runtime monitoring. | |
| Likelihood Is Not Authorship: Can We Reliably Measure Human Contribution in AI-Assisted Writing? The paper reveals vulnerabilities in prompt-predictability metrics used to estimate human contribution in AI-assisted writing. Ranked #59Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Exposes critical vulnerabilities and benchmark manipulation in metrics estimating human contribution in AI writing. | |
| SEA-HELM Audio: Evaluating Multilingual ASR-LLM Pipeline Performance Across SEA-HELM Subsets The paper presents an audio evaluation benchmark assessing accuracy drops between speech-input and text-input pipelines in Southeast Asian languages. Ranked #59New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Evaluates multimodal speech-and-text pipeline performance across multilingual audio inputs. | |
| AiSAQ-in-Filtering for DRAM-free Filtered Information Retrieval The paper introduces a product quantization technique that encodes vector data and category labels together to reduce memory in filtered search. Ranked #59New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Proposes vector quantization methods to optimize memory and efficiency for filtered document retrieval. | |
| Exploring Jailbreak Vulnerability Across Depth-Based Dynamic Inference in Large Language Models Studies how depth-based early-exit inference affects language model safety, finding shallow exits resist jailbreaks better than deep exits. Ranked #59Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Investigates depth-based dynamic early-exit inference and its impact on model behavior. | |
| Can Agents Forget When Asked? A Benchmark for Memory Unlearning in LLM Agents The authors introduce Bemula, a benchmark designed to evaluate how accurately language model agents erase specific user memories upon request. Ranked #59New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Addresses user privacy and data removal compliance in persistent AI agents. | |
| Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation Gates reinforcement learning policy-shift distillation using intermediate checkpoints to ensure student models only learn consistent teacher shifts. Ranked #60New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Evaluates gated policy distillation on code reasoning tasks. | |
| INFUSE: A Unified Surface Benchmark for Indirect Prompt Injection in Agentic Systems The paper introduces an end-to-end benchmark to evaluate indirect prompt injection risks across long-horizon agent workflows. Ranked #60New testPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Evaluates vulnerabilities and tool-use lifecycle execution in long-horizon autonomous LLM agents. | |
| Beyond Downstream QA: Rethinking How We Evaluate Agent Memory The paper presents a benchmark that isolates agent memory evolution from downstream retrieval and generation failures. Ranked #60Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces a diagnostic benchmark for evaluating agent memory stores. | |
| Vision-Language Models Integrate Conflicting Evidence Like Biased Bayesian Observers The paper proposes a Bayesian cue-combination model to explain how vision-language models integrate conflicting visual and textual evidence. Ranked #60New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Investigates how vision-language models combine and resolve conflicting visual and textual evidence. | |
| The Effect of Layer Ordering in Hybrid Architectures This paper analyzes how layer ordering and selection affect performance across tasks in hybrid attention model architectures. Ranked #60Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Examines optimal layer ordering in hybrid architectures under strict resource and memory budgets. | |
| Recall Begets Recall: Recurrent Memory Ranking for Personalized LLMs The paper proposes a recurrent memory ranking loop that dynamically expands retrieval cues and self-terminates when context is sufficient for personalized generation. Ranked #60New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Addresses memory ranking and context grounding for personalized LLMs via recurrent retrieval loops. | |
| Why Agentic Workflows Fail: A Taxonomy Derived from Literature and Empirical Data The paper presents a taxonomy that locates agent workflow failures across specific workflow stages and agent functional capabilities. Ranked #60New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Provides an empirical failure taxonomy to diagnose unreliability in deployed agent workflows. | |
| Stronger Judges Do Not See More: Deployment-Integrity Blindness in LLM Evaluation Introduces a benchmark measuring how output-only model judges fail to detect tampered runtime environments in agent deployments. Ranked #61Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces a benchmark evaluating how output-only LLM judges fail to detect runtime deployment tampering. | |
| Why Generate a Click? Plug-in Decision Heads for Web Agents This paper introduces plug-in decision heads that read action choices directly from visual agent hidden states rather than generating text tokens. Ranked #61Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Integrates vision-language models with visual token pooling for GUI understanding. | |
| New Model, Old Habits: Behavior Transfer under Model Swapping in Multi-Session LLM Agents The paper analyzes model swapping in multi-session agents and proposes a history summarization method to preserve strong reasoning behaviors. Ranked #61Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Explores model swapping to balance inference cost and performance across agent sessions. | |
| Player-1: Learning to Play from Synthetic Experience Develops a post-training framework that trains computer-use agents for video games using synthetic interactive experiences and an expanded action space. Ranked #61New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Develops computer-use agents that interact with complex digital game environments. | |
| Retrieving Complementary Evidence for Multi-Hop RAG with Semantic Gain Graphs The paper constructs a semantic gain graph using offline model evaluations to retrieve complementary, non-redundant documents for multi-hop question answering. Ranked #61New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Proposes semantic gain graphs to retrieve nonredundant complementary evidence for multi-hop RAG. | |
| Executable Prefix Values for Locating Agent Failures The paper evaluates judge labels on agent steps by restarting failed trajectories from intermediate states to identify true failure points. Ranked #61Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Improves reliability and failure debugging for deployed software engineering agents. |
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