Frontier: unread papers ranked by how many ingested papers cite them

Custom SQL query returning 100 rows (hide) 

select p.lom_id, p.title, p.year, count(distinct e.from_lom_id) as cited_by_in_graph, sum(case when rc.id is not null then 1 else 0 end) > 0 as cited_by_a_read_paper from paper p join citation_edge e on e.to_lom_id = p.lom_id left join claim rc on rc.about_lom_id = e.from_lom_id left join claim c on c.about_lom_id = p.lom_id where c.id is null group by p.lom_id order by cited_by_in_graph desc, p.year desc limit 100

Edit SQL

This data as json, CSV

lom_idtitleyearcited_by_in_graphcited_by_a_read_paper
arxiv:1905.10985 Ai-gas: Ai-generating algorithms, an alternate paradigm for producing general artificial intelligence 2019 23 1
arxiv:2301.04104 Mastering diverse domains through world models 2024 22 1
arxiv:2001.08361 Scaling Laws for Neural Language Models 2020 22 0
arxiv:1710.05941 Searching for Activation Functions 2017 22 0
arxiv:2501.04227 Agent laboratory: Using llm agents as research assistants 2025 21 1
arxiv:2504.08066 The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search 2025 21 0
arxiv:2308.12950 Code Llama: Open Foundation Models for Code 2024 21 0
arxiv:2310.06770 Swe-bench: Can language models resolve real-world github issues?, 2024 2024 21 1
arxiv:2401.04088 Mixtral of experts, 2024 2024 21 1
arxiv:2402.03300 DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models 2024 21 0
arxiv:2403.07974 Livecodebench: Holistic and contamination free evaluation of large language models for code 2024 21 1
arxiv:2403.08295 Gemma: open models based on gemini research and technology 2024 21 0
arxiv:2406.11931 Deepseek-coder-v2: Breaking the barrier of closed-source models in code intelligence 2024 21 1
arxiv:2412.19437 Deepseek-v3 technical report 2024 21 1
arxiv:2205.11916 Large language models are zero-shot reasoners 2023 21 1
arxiv:2210.03629 React: Synergizing reasoning and acting in language models 2023 21 1
arxiv:2301.08727 Neural Architecture Search: Insights from 1000 Papers 2023 21 0
arxiv:2302.13971 LLaMA: open and efficient foundation language models 2023 21 0
arxiv:2303.10158 Data-centric artificial intelligence: A survey 2023 21 1
arxiv:2306.08647 Language to rewards for robotic skill synthesis 2023 21 1
arxiv:2306.12672 From word models to world models: Translating from natural language to the probabilistic language of thought 2023 21 1
arxiv:2310.12931 Eureka: Human-level reward design via coding large language models 2023 21 1
arxiv:2312.09390 Weak-to-strong generalization: Eliciting strong capabilities with weak supervision, 2023 2023 21 1
arxiv:1606.04671 Progressive Neural Networks 2022 21 0
arxiv:2108.07258 On the Opportunities and Risks of Foundation Models 2022 21 0
arxiv:2201.02177 Grokking: Generalization beyond overfitting on small algorithmic datasets 2022 21 1
arxiv:2203.11171 Self-consistency improves chain of thought reasoning in language models 2022 21 1
arxiv:2209.11895 In-context learning and induction heads 2022 21 1
arxiv:2210.05359 Mind’s eye: Grounded language model reasoning through simulation 2022 21 1
arxiv:2211.09085 Galactica: A Large Language Model for Science 2022 21 0
arxiv:2212.08073 Constitutional AI: Harmlessness from AI Feedback 2022 21 0
arxiv:2107.03374 Evaluating large language models trained on code 2021 21 1
arxiv:2107.12808 Open-Ended Learning Leads to Generally Capable Agents 2021 21 0
arxiv:2110.14168 Training verifiers to solve math word problems 2021 21 0
arxiv:2112.04359 Ethical and social risks of harm from Language Models 2021 21 0
arxiv:1912.01588 Leveraging Procedural Generation to Benchmark Reinforcement Learning 2020 21 0
arxiv:2005.01643 Offline reinforcement learning: tutorial, review, and perspectives on open problems 2020 21 0
arxiv:1903.00742 Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research 2019 21 0
arxiv:1903.03176 MinAtar: An atari-inspired testbed for thorough and reproducible reinforcement learning experiments 2019 21 0
arxiv:1910.04098 Improving generalization in meta reinforcement learning using learned objectives 2019 21 1
arxiv:1708.07747 Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms 2017 21 0
arxiv:1711.09846 Population based training of neural networks 2017 21 0
arxiv:1511.07289 Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) 2016 21 0
arxiv:2412.16720 Openai o1 system card 2024 20 1
arxiv:2201.11903 Chain-of-thought prompting elicits reasoning in large language models 2023 20 1
arxiv:2601.03267 Openai gpt-5 system card 2025 18 0
arxiv:2003.05325 Meta-learning curiosity algorithms 2020 18 1
arxiv:2211.09760 Velo: Training versatile learned optimizers by scaling up 2022 17 1
arxiv:2506.02153 Small Language Models are the Future of Agentic AI 2025 14 0
arxiv:2404.07738 Researchagent: Iterative research idea generation over scientific literature with large language models, 2024 2024 14 1
arxiv:2506.13131 Alphaevolve: A coding agent for scientific and algorithmic discovery 2025 12 1
arxiv:2402.18679 Data interpreter: An llm agent for data science 2024 12 1
arxiv:2407.16741 Openhands: An open platform for ai software developers as generalist agents 2024 12 1
arxiv:2305.14259 Scimon: Scientific inspiration machines optimized for novelty, 2024b 2023 12 1
arxiv:1812.08775 Deep paper gestalt 2018 12 1
arxiv:2310.03302 Mlagentbench: Evaluating language agents on machine learning experimentation 2024 11 1
arxiv:2410.07095 Mle-bench: Evaluating machine learning agents on machine learning engineering 2025 10 1
arxiv:2512.02556 DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models 2025 9 0
arxiv:2401.04259 Marg: Multi-agent review generation for scientific papers, 2024 2024 9 1
arxiv:2312.02139 Diffit: Diffusion vision transformers for image generation, 2024 2024 8 1
arxiv:2402.17453 Ds-agent: Automated data science by empowering large language models with case-based reasoning 2024 8 1
arxiv:2502.13138 Aide: Ai-driven exploration in the space of code 2025 7 1
arxiv:2402.00854 Symbolicai: A framework for logic-based approaches combining generative models and solvers, 2024 2024 7 1
doi:10.1162/neco.1997.9.8.1735 Long Short-Term Memory 1997 7 0
arxiv:2410.02958 Automl-agent: A multi-agent llm framework for full-pipeline automl 2025 6 1
arxiv:2401.03065 Cruxeval: A benchmark for code reasoning, understanding and execution 2024 6 1
arxiv:2402.09664 Codemind: Evaluating large language models for code reasoning 2024 6 1
arxiv:2402.18381 Large language models as evolution strategies 2024 6 1
arxiv:2412.04604 ARC Prize 2024: Technical Report 2025 5 0
arxiv:2502.14499 Mlgym: A new framework and benchmark for advancing ai research agents 2025 5 1
arxiv:2309.02726 Large language models for automated open-domain scientific hypotheses discovery, 2024 2024 5 1
arxiv:2406.10252 Autosurvey: Large language models can automatically write surveys, 2024c 2024 5 1
arxiv:2206.08896 Evolution through large models, 2022 2022 5 1
doi:10.4230/oasics.dx.2024.16 Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short Paper) 2017 5 0
arxiv:2504.09737 Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025 2025 4 0
arxiv:2405.15568 Omni-epic: Open-endedness via models of human notions of interestingness with environments programmed in code, 2024 2024 4 1
arxiv:2411.10478 Large language models for constructing and optimizing machine learning workflows: A survey 2024 4 1
doi:10.18653/v1/n19-1423 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2019 4 1
doi:10.4230/lipics.cp.2025.31 HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case 2019 4 1
arxiv:1703.03400 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 2017 4 0
doi:10.1038/nature16961 Mastering the game of Go with deep neural networks and tree search 2016 4 0
arxiv:2411.01679 Autoformulation of mathematical optimization models using llms 2025 3 1
arxiv:2502.07316 Codei/o: Condensing reasoning patterns via code input-output prediction 2025 3 1
arxiv:2506.01372 Ai scientists fail without strong implementation capability 2025 3 1
arxiv:2507.01903 Ai4research: A survey of artificial intelligence for scientific research 2025 3 1
arxiv:2510.02387 Cwm: An open-weights llm for research on code generation with world models 2025 3 1
arxiv:2510.16872 Deepanalyze: Agentic large language models for autonomous data science 2025 3 1
arxiv:2512.09117 A categorical analysis of large language models and why llms circumvent the symbol grounding problem 2025 3 1
arxiv:2404.17605 Autonomous llm-driven research from data to human-verifiable research papers, 2024 2024 3 1
arxiv:2406.08414 Discovering preference optimization algorithms with and for large language models 2024 3 1
arxiv:2407.01725 Discoverybench: Towards data-driven discovery with large language models, 2024 2024 3 1
arxiv:2408.14033 Mlr-copilot: Autonomous machine learning research based on large language models agents 2024 3 1
arxiv:2410.17238 Sela: Tree-search enhanced llm agents for automated machine learning 2024 3 1
arxiv:1904.10509 Generating Long Sequences with Sparse Transformers 2019 3 0
openalex:W2990704537 SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems 2019 3 0
arxiv:1802.01561 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures 2018 3 0
arxiv:1804.03720 Gotta Learn Fast: A New Benchmark for Generalization in RL 2018 3 0
doi:10.1038/nature24270 Mastering the game of Go without human knowledge 2017 3 0
doi:10.1007/s11263-015-0816-y ImageNet Large Scale Visual Recognition Challenge 2015 3 0
doi:10.1038/nature14236 Human-level control through deep reinforcement learning 2015 3 0