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data/2026-10.jsonl

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 {"paper_id": "2610.21185", "paper_url": "https://huggingface.co/papers/2610.21185", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Gacha Decoding: Eliciting Diverse Generations Through Instruction Following](https://huggingface.co/papers/2610.01382) (2026)\n* [Do Large Language Models Capture the Diversity in their Training Data?](https://huggingface.co/papers/2609.02275) (2026)\n* [Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks](https://huggingface.co/papers/2609.38359) (2026)\n* [DOGS: Design-Space Sampling for Prompt-Driven Logo Generation](https://huggingface.co/papers/2610.10760) (2026)\n* [Gap Detection: Mitigating Homogenization through Demand and Defensibility](https://huggingface.co/papers/2610.20162) (2026)\n* [A Ticket from Marginals to Joints: Coupled-Noise Distillation for One-Step Block Generation in Diffusion Language Models](https://huggingface.co/papers/2609.06324) (2026)\n* [DiVid: Diagnosing Dimension-Specific Diversity Collapse in Video Generation Models](https://huggingface.co/papers/2610.01661) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-19T01:30:29.254655+00:00"}
 {"paper_id": "2610.22192", "paper_url": "https://huggingface.co/papers/2610.22192", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks](https://huggingface.co/papers/2609.11042) (2026)\n* [SPO++: Stream-Aligned Policy Optimization for Asynchronous Agentic RL](https://huggingface.co/papers/2608.24870) (2026)\n* [Hindsight-Privileged RLVR: Single-Rollout Token Credit Without Group Sampling](https://huggingface.co/papers/2610.20497) (2026)\n* [One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents](https://huggingface.co/papers/2609.23377) (2026)\n* [Recursive Environment Scaling for General Long-Horizon Agents](https://huggingface.co/papers/2610.16397) (2026)\n* [Matched-Context Group Policy Optimization for LLM Agent Training](https://huggingface.co/papers/2610.13755) (2026)\n* [Let Credit Follow Computation: Architecture-Aware Credit Transport for Large Language Model Reinforcement Learning](https://huggingface.co/papers/2608.21501) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-19T01:33:33.505894+00:00"}
 {"paper_id": "2610.22280", "paper_url": "https://huggingface.co/papers/2610.22280", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Knowing When to Ask for Help: Bayesian Self-Escalation in Hierarchical LLM Agents](https://huggingface.co/papers/2608.24087) (2026)\n* [Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents](https://huggingface.co/papers/2610.07816) (2026)\n* [Disagreement-Guided Weak-to-Strong Routing](https://huggingface.co/papers/2610.22245) (2026)\n* [TACIT-Switch: Cost-Aware Model Escalation for LLM Agents from Censored Supervision](https://huggingface.co/papers/2608.27911) (2026)\n* [Signed Rescue Routing: Harm-Aware Cascades for Efficient LLM Inference](https://huggingface.co/papers/2609.07786) (2026)\n* [Selective Critique for Cost-Aware LLM Agents in Long-Horizon Decision Making](https://huggingface.co/papers/2610.07335) (2026)\n* [How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method](https://huggingface.co/papers/2609.05274) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-19T01:36:16.230428+00:00"}
+{"paper_id": "2610.20503", "paper_url": "https://huggingface.co/papers/2610.20503", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Draft in Parallel, Condition Through Depth: Adjacent Causal Injection for Speculative Decoding](https://huggingface.co/papers/2609.36173) (2026)\n* [Carryover Drafting: Recycling Rejected States for Speculative Decoding](https://huggingface.co/papers/2609.14717) (2026)\n* [DEdit: Iterative Draft Editing for Speculative Decoding](https://huggingface.co/papers/2609.38510) (2026)\n* [Contextual Correction of Parallel Drafts for Speculative Decoding](https://huggingface.co/papers/2610.12570) (2026)\n* [LongSpark: Efficient speculative decoding with a fixed-cost parallel drafter](https://huggingface.co/papers/2609.37029) (2026)\n* [DRelay: Global Draft Context for Prefix-Aware Parallel Speculative Decoding Repair](https://huggingface.co/papers/2610.01439) (2026)\n* [D-Loop: Looped Diffusion Drafting for Speculative Decoding](https://huggingface.co/papers/2610.06011) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:24:04.383504+00:00"}
+{"paper_id": "2610.22306", "paper_url": "https://huggingface.co/papers/2610.22306", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MOTIP2: Spatial Priors for End-to-End Multi-Object Tracking](https://huggingface.co/papers/2610.10391) (2026)\n* [DOA-SORT: Directional Occlusion-Aware Multi-Object Tracking with Distributional Observations](https://huggingface.co/papers/2609.22706) (2026)\n* [Identity-Consistent Analysis of Long-Shot Windsurfing Video: A Domain-Specific Offline Tracking System](https://huggingface.co/papers/2609.24492) (2026)\n* [Online Multi-Camera 3D Tracking via ID Prediction over Recurrent Sparse Queries](https://huggingface.co/papers/2609.18363) (2026)\n* [Tracking-by-detection in Multi-object Tracking: Survey and Experiments](https://huggingface.co/papers/2609.08265) (2026)\n* [Re-engineering SORT-based algorithms for low-cost small object tracking from omnidirectional footage](https://huggingface.co/papers/2609.07547) (2026)\n* [TrackFish3D: Self-Supervised 3D Tracking of Schooling Fish from Multi-view Videos](https://huggingface.co/papers/2609.38347) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:24:09.761968+00:00"}
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+{"paper_id": "2610.20019", "paper_url": "https://huggingface.co/papers/2610.20019", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Rewiring Semantics, Dynamics, and Control: A Simple yet Effective Action-Centric Tri-Stream Transformer](https://huggingface.co/papers/2610.11416) (2026)\n* [LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies](https://huggingface.co/papers/2609.06079) (2026)\n* [SCULPT-VLA: Learning Structured Control through Staged Action Grounding](https://huggingface.co/papers/2609.23275) (2026)\n* [PAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policies](https://huggingface.co/papers/2608.30378) (2026)\n* [Forward Dynamics Models](https://huggingface.co/papers/2610.13117) (2026)\n* [RecastVLA: From Past Interaction to Future Control with Adaptive Policy States](https://huggingface.co/papers/2609.32155) (2026)\n* [eRLT: Efficient VLA Reinforcement Learning via Action-Relevant Token Routing](https://huggingface.co/papers/2610.00913) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:25:10.188053+00:00"}
+{"paper_id": "2610.16402", "paper_url": "https://huggingface.co/papers/2610.16402", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ProgramDistill: From Interactive Web Apps to Verifiable Reference-Guided SWE Tasks](https://huggingface.co/papers/2609.18805) (2026)\n* [WideSWE: Can Coding Agents Coordinate Changes Across Repositories?](https://huggingface.co/papers/2609.33382) (2026)\n* [EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants](https://huggingface.co/papers/2608.29387) (2026)\n* [E2E-SWE: Benchmarking LLMs on Building Working Codebases from Scratch](https://huggingface.co/papers/2609.38335) (2026)\n* [SWE-Journey: Towards More Realistic Evaluation of Coding Assistants through Long-Horizon, Multi-Turn Interaction](https://huggingface.co/papers/2610.11559) (2026)\n* [Do Modifications Made by Coding Agents Make Subsequent Software Maintenance Harder?](https://huggingface.co/papers/2610.14768) (2026)\n* [SWEeper-Bench: Can Agents Discover Bugs in Interactive Software?](https://huggingface.co/papers/2610.14096) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:25:15.792914+00:00"}
+{"paper_id": "2610.22744", "paper_url": "https://huggingface.co/papers/2610.22744", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VideoX-Qwen: Data-Centric Instruction-Based Video Editing](https://huggingface.co/papers/2609.26015) (2026)\n* [VINCIE-NExT: Unlocking Video Editing from Images via In-Context Modeling](https://huggingface.co/papers/2610.12104) (2026)\n* [EditaLive! Unified Character Video Editing for Live Streaming](https://huggingface.co/papers/2608.27123) (2026)\n* [RefVideo-6M: A Reliable Reference-Based Dataset for Instructional Video Editing](https://huggingface.co/papers/2608.26101) (2026)\n* [WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation](https://huggingface.co/papers/2609.36937) (2026)\n* [Transforming Image Editors into Video Editors](https://huggingface.co/papers/2610.11037) (2026)\n* [One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing](https://huggingface.co/papers/2609.04190) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:25:22.337646+00:00"}
+{"paper_id": "2610.21482", "paper_url": "https://huggingface.co/papers/2610.21482", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:25:28.305741+00:00"}
+{"paper_id": "2610.23181", "paper_url": "https://huggingface.co/papers/2610.23181", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Hindsight-Privileged RLVR: Single-Rollout Token Credit Without Group Sampling](https://huggingface.co/papers/2610.20497) (2026)\n* [TIDE: Teacher-Student Transition via Informative Distillation and Exploration for Agentic RL](https://huggingface.co/papers/2609.35058) (2026)\n* [SIPO: Unifying Reinforcement Learning with On-Policy Self-Distillation](https://huggingface.co/papers/2609.36742) (2026)\n* [When and Where to Trust the Teacher: Unifying On-Policy Distillation and GRPO through Entropy-Calibrated Credit Assignment](https://huggingface.co/papers/2609.28385) (2026)\n* [Residual Advantage: Student-Relative Teacher Guidance for RL with Verifiable Rewards](https://huggingface.co/papers/2610.11519) (2026)\n* [Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation](https://huggingface.co/papers/2609.16937) (2026)\n* [VASPO: Self-Distillation with Privileged Value Estimation](https://huggingface.co/papers/2610.20516) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:25:35.237403+00:00"}
+{"paper_id": "2610.18834", "paper_url": "https://huggingface.co/papers/2610.18834", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [GenPuzzle: Benchmarking Visual Reasoning in Image Generation Models](https://huggingface.co/papers/2609.05902) (2026)\n* [Plan-Bench: Can Existing VLMs Go Well Beyond Perception to Reason and Plan in Embodied Worlds?](https://huggingface.co/papers/2610.18836) (2026)\n* [VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning](https://huggingface.co/papers/2608.26105) (2026)\n* [SpaceCast-Bench: Evaluating Predictive Spatial Reasoning in Vision-Language Models](https://huggingface.co/papers/2610.12402) (2026)\n* [SAVU-BENCH: A Real-World Benchmark for Spatial Audio-Visual Understanding](https://huggingface.co/papers/2610.10624) (2026)\n* [SYNCR: Diagnosing and Learning Cross-Video Reasoning from Simulation](https://huggingface.co/papers/2609.37918) (2026)\n* [Frame Evidence:A Benchmark for Reference Frames and Visual Evidence in Multi-Image Spatial Reasoning](https://huggingface.co/papers/2610.19564) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:25:40.846793+00:00"}
+{"paper_id": "2610.23839", "paper_url": "https://huggingface.co/papers/2610.23839", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Causal Improvement Graph for Agentic Harness Optimization](https://huggingface.co/papers/2610.05039) (2026)\n* [Discovery Foundation Models: Toward Open-Ended Discovery Intelligence](https://huggingface.co/papers/2609.15973) (2026)\n* [HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses](https://huggingface.co/papers/2609.15938) (2026)\n* [Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems](https://huggingface.co/papers/2609.30001) (2026)\n* [ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents](https://huggingface.co/papers/2609.17523) (2026)\n* [Beyond Equation Search: Conjecture-Guided Discovery with SCOPE and ClosureBench](https://huggingface.co/papers/2610.18938) (2026)\n* [Counterfactual Self-Evolving Agents for Evidence-Grounded Reasoning](https://huggingface.co/papers/2609.32870) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:25:46.491293+00:00"}
+{"paper_id": "2610.22273", "paper_url": "https://huggingface.co/papers/2610.22273", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SearchWiki: Learning to Build and Navigate Knowledge Wikis for Active Information Seeking](https://huggingface.co/papers/2608.29953) (2026)\n* [StateTree: Enhancing Long-Term Dialogue Reasoning via Reinforcement Learning](https://huggingface.co/papers/2609.38809) (2026)\n* [Co-Evolving Structured Knowledge and Reasoning in Language Models](https://huggingface.co/papers/2608.26386) (2026)\n* [Learning Multi-Step Query Rewriting via Corpus Feedback for Conversational Search](https://huggingface.co/papers/2610.10955) (2026)\n* [APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering](https://huggingface.co/papers/2609.02253) (2026)\n* [TableSeek: Structure-Preserving Agentic Evidence Seeking over Heterogeneous Table Corpora](https://huggingface.co/papers/2609.34157) (2026)\n* [GTA-RAG: Graph-Trajectory-Augmented Reinforcement Learning for Multi-Turn Retrieval-Augmented Reasoning](https://huggingface.co/papers/2608.22479) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:25:53.767882+00:00"}
+{"paper_id": "2610.22428", "paper_url": "https://huggingface.co/papers/2610.22428", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Baseline Shape Decides the Verdict: A Controlled Re-Examination of Ternary Language Models at 60K Parameters](https://huggingface.co/papers/2609.29397) (2026)\n* [ufakzeka-1: Building and Evaluating a 151M-Parameter Turkish Language Model from Scratch](https://huggingface.co/papers/2609.25081) (2026)\n* [Linger and Lose: Knowledge Collapse in Low-Bit Language Models](https://huggingface.co/papers/2609.32902) (2026)\n* [Do Language Models Need a Trainable Input Embedding Table? Fixed Minimal Token Codes at 1.7B-Class Scale](https://huggingface.co/papers/2610.04002) (2026)\n* [Agaram 2.5B: The First Tamil-First Language Model Trained from Scratch with Tool Calling. A Playbook for Under-Represented Languages](https://huggingface.co/papers/2610.18420) (2026)\n* [Hybrid Latent Attention for Looped Language Models](https://huggingface.co/papers/2610.07940) (2026)\n* [Tetra: Serving Leech-Lattice Quantized LLMs at 2.7 Bits per Parameter](https://huggingface.co/papers/2609.35465) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:26:02.601948+00:00"}
+{"paper_id": "2610.22234", "paper_url": "https://huggingface.co/papers/2610.22234", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [UI-Venus-2 Technical Report](https://huggingface.co/papers/2609.00028) (2026)\n* [HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents](https://huggingface.co/papers/2609.38008) (2026)\n* [ASIL: Replacing Screenshot-and-Click with Structured State and Semantic Actions](https://huggingface.co/papers/2608.26991) (2026)\n* [CUA-Universe: A Scalable and Dynamic Environment for Hybrid GUI+CLI Agents](https://huggingface.co/papers/2609.05374) (2026)\n* [RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents](https://huggingface.co/papers/2609.22000) (2026)\n* [SoftwareGym: Scaling Computer-Use Agent Training with Diverse Synthesized Software Environments](https://huggingface.co/papers/2610.12611) (2026)\n* [JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition](https://huggingface.co/papers/2609.10451) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:26:07.938264+00:00"}
+{"paper_id": "2610.23795", "paper_url": "https://huggingface.co/papers/2610.23795", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory](https://huggingface.co/papers/2609.24984) (2026)\n* [Totem: Object-Centric 3D Memory for World-Consistent Video Generation](https://huggingface.co/papers/2610.15807) (2026)\n* [Geometry as Address: Routing Attention to Visual Memory for Long-Horizon Camera-Controlled Video Generation](https://huggingface.co/papers/2609.34722) (2026)\n* [OctWorld: Long-Range World-Consistent Video Generation with Octree-Based 3D Mapping](https://huggingface.co/papers/2609.03919) (2026)\n* [Honeycomb: Constant-Size Scene Memory Representation for Video World Models](https://huggingface.co/papers/2609.37690) (2026)\n* [SceneAE: Scene Generation and Reconstruction in Queryable 3D-Anchored Latent Space](https://huggingface.co/papers/2610.19708) (2026)\n* [CoTL: Compact Token Learning for 3D Scene Representation](https://huggingface.co/papers/2610.18446) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:26:13.656451+00:00"}
+{"paper_id": "2610.23374", "paper_url": "https://huggingface.co/papers/2610.23374", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [InfoVis: Unified Slide Image Generation and Editing](https://huggingface.co/papers/2610.16784) (2026)\n* [SenseNova-U1.5: Towards Native Unified Visual Intelligence](https://huggingface.co/papers/2609.11929) (2026)\n* [UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation](https://huggingface.co/papers/2610.09823) (2026)\n* [Planning and Rendering in Concert: DeepFusion of Autoregressive Layouts and Diffusion for Visual Text Generation](https://huggingface.co/papers/2609.22916) (2026)\n* [GlyphAnchor: Enhancing Visual Text Rendering via Position-Anchored Glyph Priors](https://huggingface.co/papers/2609.02349) (2026)\n* [CommerceGen-Studio: An End-to-End Framework for Commercial-Grade Main-Image Generation](https://huggingface.co/papers/2610.20603) (2026)\n* [From Prompting to Composing: A Spatial Canvas Interface for Poster Generation](https://huggingface.co/papers/2610.12230) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:26:19.182647+00:00"}
+{"paper_id": "2610.21073", "paper_url": "https://huggingface.co/papers/2610.21073", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Paritok-4B: Intent-Conditioned Context Compression for Coding Agents](https://huggingface.co/papers/2608.24188) (2026)\n* [When Does Selection Replace Extraction? A Pre-Registered Test of Agent Memory with a Typed Decision Model](https://huggingface.co/papers/2609.34227) (2026)\n* [PatchHolmes: Agentic Patch Retrieval via Listwise Selection](https://huggingface.co/papers/2609.38807) (2026)\n* [What Does a Harness Buy? Tokens, Mostly](https://huggingface.co/papers/2610.04433) (2026)\n* [Compress What You See, Not What You Say: Anchored Context Distillation for Latent-Observation Software Engineering Agents](https://huggingface.co/papers/2609.31430) (2026)\n* [StateTape: Action-Conditioned Evidence Lifecycle Modeling for Long-Horizon Coding Agents](https://huggingface.co/papers/2609.36319) (2026)\n* [CARET: Training-Free Test-Time Scaling for Repository-Level Code Completion](https://huggingface.co/papers/2610.04837) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:26:26.923824+00:00"}
+{"paper_id": "2610.19625", "paper_url": "https://huggingface.co/papers/2610.19625", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Pretraining Latent Information Feedback Transformers with Teacher Supervision](https://huggingface.co/papers/2609.38149) (2026)\n* [Prefilling-dLLM v2: Learned Chunk Routing for Long-Context Diffusion Language Models](https://huggingface.co/papers/2610.17868) (2026)\n* [Universal Test-Time Training](https://huggingface.co/papers/2610.05484) (2026)\n* [Trading Depth for Time in Recurrent Transformers](https://huggingface.co/papers/2609.21605) (2026)\n* [One Model to Loop Them All: Elastic Latent Recurrence for Language Models](https://huggingface.co/papers/2610.12582) (2026)\n* [Kairos: Toward a Byte-Level Foundation Model for Every Modality](https://huggingface.co/papers/2610.12495) (2026)\n* [SOLO: Pretraining Billion-Parameter Language Models with Shared-Output Local Learning](https://huggingface.co/papers/2609.35440) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:26:32.377503+00:00"}
+{"paper_id": "2610.18784", "paper_url": "https://huggingface.co/papers/2610.18784", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CADOC: Cache-Aware Dynamic Object Context for Long-Horizon Agents](https://huggingface.co/papers/2609.37012) (2026)\n* [ContextRender: From Execution Dependencies to Agent Context](https://huggingface.co/papers/2609.37743) (2026)\n* [Beyond Skill Evolution: Self-Evolving Context Management Policies for Long-Horizon Agent Harnesses](https://huggingface.co/papers/2609.34649) (2026)\n* [FlowState: Execution State as Memory for Long-Horizon LLM Agents](https://huggingface.co/papers/2609.34565) (2026)\n* [StateComp: Learning When to Compress History in Long Horizon Agents](https://huggingface.co/papers/2609.27298) (2026)\n* [ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents](https://huggingface.co/papers/2610.07863) (2026)\n* [Context as an Environment: Programmatic Context Management for Long-Horizon Agents](https://huggingface.co/papers/2608.21690) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:26:38.731630+00:00"}
+{"paper_id": "2610.20628", "paper_url": "https://huggingface.co/papers/2610.20628", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MAGIC: Mixed-Granularity Agent Graphs via Incremental Construction with Dense-Reward Reinforcement Learning](https://huggingface.co/papers/2609.26667) (2026)\n* [GraphOPD: Graph-Augmented On-Policy Distillation for LLM Agents](https://huggingface.co/papers/2610.08959) (2026)\n* [Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems](https://huggingface.co/papers/2609.02264) (2026)\n* [Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems](https://huggingface.co/papers/2609.05933) (2026)\n* [Learning How Much to Collaborate: Difficulty-Aware Topology Selection for Multi-Agent Code Generation](https://huggingface.co/papers/2609.13890) (2026)\n* [ARIA: Runtime Inspection and Amendment for Multi-Agent Systems](https://huggingface.co/papers/2610.20780) (2026)\n* [Multi-Agent System Search via Active Substructure-aware Policy Optimization](https://huggingface.co/papers/2609.32430) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`", "timestamp": "2026-10-20T01:26:51.455991+00:00"}
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