From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark | Paper Citation Record

Observation 9ec5f81b-a058-43b2-a939-4214bc592f65 · outbound

This paper cites Machine learning in computer vision: A review.EAI Endorsed Transactions on Scalable Information Systems, 8 (32), 2021.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Machine learning in computer vision: A review.EAI Endorsed Transactions on Scalable Information Systems, 8 (32), 2021

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:07.020232Z

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Observation 5afc1367-5fdc-4612-abdc-f1269bf300e1 · outbound

This paper cites A survey of the usages of deep learning for natural language processing.IEEE transactions on neural networks and learning systems, 32(2):604–624, 2020.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark A survey of the usages of deep learning for natural language processing.IEEE transactions on neural networks and learning systems, 32(2):604–624, 2020

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:06.810186Z

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Observation f06f3229-23d5-4545-bfe1-7f00df4eb943 · outbound

This paper cites A survey of deep learning techniques for autonomous driving.Journal of field robotics, 37(3):362–386, 2020.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark A survey of deep learning techniques for autonomous driving.Journal of field robotics, 37(3):362–386, 2020

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:47.611910Z

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Observation 7a1c0b47-78d3-4369-90c9-defd9ff2239a · outbound

This paper cites Building machines that learn and think like people.Behavioral and brain sciences, 40:e253, 2017.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Building machines that learn and think like people.Behavioral and brain sciences, 40:e253, 2017

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:47.691562Z

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Observation 26254f54-075b-4552-85ae-1ae3435749b4 · outbound

This paper cites On the Measure of Intelligence.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark On the Measure of Intelligence

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:47.769011Z

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Observation 638a217f-931f-4930-b6e3-a0063402ce75 · outbound

This paper cites Questions concerning certain faculties claimed for man.The Journal of Speculative Philosophy, 2(2):103–114, 1868.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Questions concerning certain faculties claimed for man.The Journal of Speculative Philosophy, 2(2):103–114, 1868

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:06.581495Z

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Observation 6dcb253c-527f-4653-a5b2-e70af7a03b9d · outbound

This paper cites Core knowledge.Developmental science, 10(1): 89–96, 2007.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Core knowledge.Developmental science, 10(1): 89–96, 2007

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:06.344296Z

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Observation 0d759e4a-b17f-4862-8853-e027578f98f2 · outbound

This paper cites Program synthesis.Foundations and Trends® in Programming Languages, 4:1–119, 2017.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Program synthesis.Foundations and Trends® in Programming Languages, 4:1–119, 2017

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:06.153163Z

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Observation 22b3b75f-4db6-45d7-a056-c9bebb39d30a · outbound

This paper cites Graphs, constraints, and search for the abstraction and reasoning corpus.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Graphs, constraints, and search for the abstraction and reasoning corpus

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:05.959036Z

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Observation 17b9eaf5-cc08-434a-bc3b-520bb024c1c5 · outbound

This paper cites Generalized planning for the abstraction and reasoning corpus.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Generalized planning for the abstraction and reasoning corpus

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:05.690886Z

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Observation 12cc455c-6797-4067-aec2-280d052dedc2 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Chain-of-thought prompting elicits reasoning in large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:05.516244Z

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Observation b0655f56-268e-400e-9829-407a0efa1fba · outbound

This paper cites Evaluating Large Language Models Trained on Code.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Evaluating Large Language Models Trained on Code

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:48.477609Z

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Observation b94541ec-dd0b-4e47-9a5a-50e58a01974e · outbound

This paper cites Competition-level code generation with alphacode.Science, 378:1092–1097, 2022.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Competition-level code generation with alphacode.Science, 378:1092–1097, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:05.287887Z

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Observation dcdd60ff-b6b9-4543-94b0-e5d9fb411498 · outbound

This paper cites Codet: Code generation with generated tests.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Codet: Code generation with generated tests

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:05.115542Z

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Observation 4db3ea40-9318-4964-857e-d9a44c23d0f5 · outbound

This paper cites Coder reviewer reranking for code generation.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Coder reviewer reranking for code generation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:04.894571Z

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Observation f6657d80-ca06-43be-95e7-9a8698e1bac7 · outbound

This paper cites Lever: Learning to verify language-to-code generation with execution.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Lever: Learning to verify language-to-code generation with execution

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:04.673346Z

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Observation 884741f1-6ea7-4635-8aa1-db4f5b6cbe24 · outbound

This paper cites Debug like a human: A large language model debugger via verifying runtime execution step by step.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Debug like a human: A large language model debugger via verifying runtime execution step by step

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:04.414677Z

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Observation e60977cf-d1c4-44b3-90ed-c8911ef9431a · outbound

This paper cites Planning-Driven Programming: A Large Language Model Programming Workflow.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Planning-Driven Programming: A Large Language Model Programming Workflow

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:49.047647Z

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Observation c95dc4d8-831b-4ec6-b81f-03f62c0889f4 · outbound

This paper cites Teaching large language models to self-debug.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Teaching large language models to self-debug

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:04.228507Z

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Observation 63a2dd4f-3855-4efa-a50e-339996f4a8f4 · outbound

This paper cites Program Synthesis with Large Language Models.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Program Synthesis with Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:49.420831Z

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Observation 5e88192b-0f3f-47ef-b46e-65647cd102e2 · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:04.036529Z

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Observation 40a3a86d-981d-4faf-9a03-8f2234a819aa · outbound

This paper cites Self-planning code generation with large language models.ACM Transactions on Software Engineering and Methodology, 33(7):1–28, 2023.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Self-planning code generation with large language models.ACM Transactions on Software Engineering and Methodology, 33(7):1–28, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:03.903508Z

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Observation fe3c95f3-c8f6-4795-a8ce-cc93cb181f5d · outbound

This paper cites Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:03.729691Z

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Observation 5c058edd-6ef4-469d-a70e-b8f13f14678a · outbound

This paper cites Evaluation of openai o1: Opportunities and challenges of agi.arXiv preprint arXiv:2409.18486, 2024.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Evaluation of openai o1: Opportunities and challenges of agi.arXiv preprint arXiv:2409.18486, 2024

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:49.827174Z

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Observation 60a14c36-1e61-4ad8-913a-f302bfb13a99 · outbound

This paper cites Openai o3-mini.OpenAI, 2025.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Openai o3-mini.OpenAI, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:03.619896Z

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Observation d673d438-f533-4879-a618-89e67c0533bc · outbound

This paper cites Gemini 2.0 flash thinking.Google DeepMind, 2024.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Gemini 2.0 flash thinking.Google DeepMind, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:03.483910Z

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Observation 81482a7a-28ae-43f8-a079-fc5877a745e3 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:50.074956Z

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Observation 36ad22f4-09c2-4d2f-a965-3d092f463102 · outbound

This paper cites Alibaba cloud unveils qwq-32b: A compact reasoning model with cutting-edge performance.Alibaba Cloud, 2025.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Alibaba cloud unveils qwq-32b: A compact reasoning model with cutting-edge performance.Alibaba Cloud, 2025

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:03.320988Z

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Observation 3a2e2f34-d5d5-42d0-b909-5fc03b1a0f7c · outbound

This paper cites Piaget’s cognitive developmen- tal theory: Critical review.Education Quarterly Reviews, 2(3):517–524, 2019.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Piaget’s cognitive developmen- tal theory: Critical review.Education Quarterly Reviews, 2(3):517–524, 2019

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:03.167425Z

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Observation 2fbcaf7e-6f1a-47e4-9e5f-93592771e97a · outbound

This paper cites Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:50.329277Z

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Observation d33ea25e-10af-4e30-b45f-c3f3bfb52642 · outbound

This paper cites LLM-a*: Large language model enhanced incremental heuristic search on path planning.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark LLM-a*: Large language model enhanced incremental heuristic search on path planning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:03.035747Z

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Observation a9508cb1-649a-4ba9-a7ac-c0d53a71b912 · outbound

This paper cites Large language models for mathematical reasoning: Progresses and challenges.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Large language models for mathematical reasoning: Progresses and challenges

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:02.869411Z

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Observation ec9449e8-7d05-44c6-a468-6c1bca0cad66 · outbound

This paper cites Contextual object detection with multimodal large language models.International Journal of Computer Vision, 133(2):825–843, 2025.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Contextual object detection with multimodal large language models.International Journal of Computer Vision, 133(2):825–843, 2025

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:02.674771Z

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Observation 45e196b6-fcf5-40c5-bd65-a60e246088e0 · outbound

This paper cites LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:50.685596Z

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Observation ef9ab7f0-7ff6-4d88-af0a-9e1decac9b12 · outbound

This paper cites Novelty and lifted helpful actions in generalized planning.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Novelty and lifted helpful actions in generalized planning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:02.505821Z

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Observation b4a6b7d1-d337-4ba8-9242-ad8740695260 · outbound

This paper cites Hypothesis search: Inductive reasoning with language models.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Hypothesis search: Inductive reasoning with language models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:02.345558Z

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Observation 3625b5e3-ba96-4ebc-8d7a-1c8a324dcf2d · outbound

This paper cites H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:50.960423Z

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Observation f3b3c47e-d62a-45b7-9ee4-978879d2eaca · outbound

This paper cites Eval- uating spatial understanding of large language models.Transactions on Machine Learning Research, 2024.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Eval- uating spatial understanding of large language models.Transactions on Machine Learning Research, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:02.227859Z

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Observation be08a52a-dfe6-45da-bd06-bf7d3d97ef18 · outbound

This paper cites Dialectical language model evaluation: An initial appraisal of the commonsense spatial reasoning abilities of LLMs.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Dialectical language model evaluation: An initial appraisal of the commonsense spatial reasoning abilities of LLMs

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:51.103242Z

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Observation b6fcb8e7-283c-4577-aa2c-0d9348bdba4c · outbound

This paper cites Do, Yan Xu, and Pascale Fung.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Do, Yan Xu, and Pascale Fung

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:02.088188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04fa02bd-d5bd-4048-80a2-6749017a7d0c · outbound

This paper cites Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects

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Resolution: verified exact; local_arxiv, observed 2026-08-07T14:50:55.301446Z

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Observation 2751cf78-5a40-4a2e-bb4a-865699c991ea · outbound

This paper cites The raven’s progressive matrices: change and stability over culture and time.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark The raven’s progressive matrices: change and stability over culture and time

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:01.930209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b02485ab-1351-40a1-bf3e-4fef74272acd · outbound

This paper cites Measuring abstract reasoning in neural networks.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Measuring abstract reasoning in neural networks

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:01.779793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee22893c-b0d7-462e-8d70-ee4a35a6474b · outbound

This paper cites Task cognition and planning for service robots.Intelligence & Robotics, (1):119–142, 2025.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Task cognition and planning for service robots.Intelligence & Robotics, (1):119–142, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:01.667181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c93265ce-f4d9-4f0a-805e-a0e914aae33f · outbound

This paper cites From show to tell: A survey on deep learning-based image captioning.IEEE transactions on pattern analysis and machine intelligence, (1):539–559, 2022.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark From show to tell: A survey on deep learning-based image captioning.IEEE transactions on pattern analysis and machine intelligence, (1):539–559, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:01.508198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 02bb04fa-952f-4984-a52b-e951869aeffb · outbound

This paper cites Visual question answering: from early developments to recent advances -- a survey.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Visual question answering: from early developments to recent advances -- a survey

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:51.823529Z

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Unavailable: canonical work link unavailable.

Observation c39e3d65-e9de-42f2-8b13-af8e3ee42861 · outbound

This paper cites Object detection with deep learning: A review.IEEE transactions on neural networks and learning systems, 30(11): 3212–3232, 2019.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Object detection with deep learning: A review.IEEE transactions on neural networks and learning systems, 30(11): 3212–3232, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:01.341391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bd54ef5-fde8-49c8-973e-2f94c3eed138 · outbound

This paper cites Augmented language models: a survey.Transactions on Machine Learning Research, 2023.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Augmented language models: a survey.Transactions on Machine Learning Research, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:01.157104Z

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Observation e303b70a-7fb6-40ae-ac58-a1aa7a59e38d · outbound

This paper cites KnowAgent: Knowledge-augmented planning for LLM-based agents.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark KnowAgent: Knowledge-augmented planning for LLM-based agents

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:00.987931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00c1c91f-5ea8-4490-9f22-04dba762c01c · outbound

This paper cites FreshLLMs: Refreshing large language models with search engine augmentation.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark FreshLLMs: Refreshing large language models with search engine augmentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:00.811812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation afe2ba41-b904-4527-8325-99370e874eab · outbound

This paper cites Chain-of-knowledge: Grounding large language models via dynamic knowledge adapting over heterogeneous sources.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Chain-of-knowledge: Grounding large language models via dynamic knowledge adapting over heterogeneous sources

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:00.659621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dfedd292-fedd-4805-953b-9ef579624467 · outbound

This paper cites Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:00.499458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64cfa5b9-efa5-42c0-b84a-458fab3b689d · outbound

This paper cites Making language models better tool learners with execution feedback.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Making language models better tool learners with execution feedback

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:00.337158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e2fb277-ba00-4257-932c-3e0d382e3290 · outbound

This paper cites 1st place solution + code and official documentation.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark 1st place solution + code and official documentation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:00.123109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 107740ed-d749-4949-b742-8142b62356ed · outbound

This paper cites 1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark 1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:50:55.160922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21139d0b-9674-4e18-8c84-759af484dea0 · outbound

This paper cites An Approach to Solving the Abstraction and Reasoning Corpus (ARC) Challenge.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark An Approach to Solving the Abstraction and Reasoning Corpus (ARC) Challenge

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:50:54.937454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efb019e5-95b1-46af-ac17-2b843c0c0b6b · outbound

This paper cites Llms as a system of multiple expert agents: An approach to solve the abstraction and reasoning corpus (arc) challenge.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Llms as a system of multiple expert agents: An approach to solve the abstraction and reasoning corpus (arc) challenge

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:59.631095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8585f8a8-35a7-455a-9c42-e3e00ba1e37d · outbound

This paper cites Reflection system for the abstraction and reasoning corpus.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Reflection system for the abstraction and reasoning corpus

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:59.447746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3b12c45-b5fb-4f4f-a392-c1df87b52e26 · outbound

This paper cites The llm architect: Solving arc-agi is a matter of perspective.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark The llm architect: Solving arc-agi is a matter of perspective

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:59.230636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c79aa9ea-5071-4214-a99b-faa88fc614d4 · outbound

This paper cites Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:53.144820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72a3e848-8351-4812-94db-87525415f8dc · outbound

This paper cites The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:53.238710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b034081-7d18-40d0-b595-8a0065f2d6c3 · outbound

This paper cites Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, and Kevin Ellis.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, and Kevin Ellis

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:59.029320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01f33878-8ba3-4800-9b35-8dd2f0eab07d · outbound

This paper cites Hysynth: Context-free llm approximation for guiding program synthesis.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Hysynth: Context-free llm approximation for guiding program synthesis

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:58.829780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13bca4d3-31f8-4f55-8608-9c6ee73f7c5d · outbound

This paper cites –” denotes no priors, while “ALL.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark –” denotes no priors, while “ALL

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:58.489397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation effbd9e5-e4bb-4947-927a-3192dd218ef6 · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:50:58.196088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2057d20-bccd-4c3e-88d9-eec5609330a2 · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:50:57.831851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0666846d-4f90-4f21-9383-5c98c33b3a4a · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:50:57.507953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b01cbf66-051e-403e-b3fc-59c4d99ca9ba · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:50:57.230523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08d7ee8c-f97f-41df-bb04-039f614d223c · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:50:56.906454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e06b676-b940-4d7e-9092-f27436eb9148 · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:50:56.767113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc4d0054-15cd-4f3d-9664-7f6f60628a9a · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:50:56.611585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35df0f09-3a6c-4325-a92c-79b0607671b5 · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:50:56.497210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7302af8a-8463-4901-b66a-1e1239e01515 · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:50:56.369636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7df75794-0e04-481a-866e-1cc09e364c60 · outbound

This paper cites color change.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark color change

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:56.197390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c25be15b-c325-4aa3-ab1d-fb62e6fca501 · outbound

This paper cites selecting.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark selecting

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:56.006275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67b0bc3c-e688-4cd8-b2e9-adc578b25d81 · outbound

This paper cites ================================= User ================================= If this task involves ${action}:.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark ================================= User ================================= If this task involves ${action}:

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:55.836729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ed88953a-ce79-463e-8c29-3ca9b595b7b7 · outbound

This paper cites - Refer to these components as TARGET components (e.g., component 1 in the first input image, component 2 and component 3 in the second input image, etc.).

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark - Refer to these components as TARGET components (e.g., component 1 in the first input image, component 2 and component 3 in the second input image, etc.)

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:55.695859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7597441-cd87-4345-a9f0-fb14aafeb253 · outbound

This paper cites - These conditions must be based on common priorities across all targeted components and must differ from the unselected components.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark - These conditions must be based on common priorities across all targeted components and must differ from the unselected components

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:50:55.581052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8af07e3-b9da-4713-a16a-02b3a70ab6eb · outbound

This paper cites an unresolved cited work.

From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Unresolved cited work

Reference 2020

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T14:50:59.876025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers