Computational Reasoning of Large Language Models | Paper Citation Record

Observation 3db6c078-dce0-42c2-ba65-f4812a0acbfd · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Computational Reasoning of Large Language Models Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 1

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Observation d0bbc28e-e902-4fd7-bcf5-424d34896bc5 · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

Computational Reasoning of Large Language Models Gpqa: A graduate-level google-proof q&a benchmark

Reference 2

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Observation 8ea08924-f665-4c7f-b542-7d75018331c4 · outbound

This paper cites OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI.

Computational Reasoning of Large Language Models OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI

Reference 3

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Observation 57f84f9d-1233-4249-b249-19b562a30063 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Computational Reasoning of Large Language Models SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 4

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Computational Reasoning of Large Language Models Unresolved cited work

Reference 5

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Observation 141ca28f-a327-43ed-9778-cd426aa09504 · outbound

This paper cites Code Simulation Challenges for Large Language Models.

Computational Reasoning of Large Language Models Code Simulation Challenges for Large Language Models

Reference 6

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Observation d610db86-53cd-48cd-a798-540ba969b815 · outbound

This paper cites NExT-GPT: Any-to-Any Multimodal LLM.

Computational Reasoning of Large Language Models NExT-GPT: Any-to-Any Multimodal LLM

Reference 7

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Observation 7c63d4b5-5046-4999-8eb3-38b3f2af4b69 · outbound

This paper cites Autonomous chemical research with large language models.

Computational Reasoning of Large Language Models Autonomous chemical research with large language models

Reference 8

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Observation 008508a2-4bf5-4e31-bd27-93b7c4a9fde1 · outbound

This paper cites Measuring massive multitask language understanding.

Computational Reasoning of Large Language Models Measuring massive multitask language understanding

Reference 9

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Observation 69e7d8be-71a5-4926-a1bd-67654b118682 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Computational Reasoning of Large Language Models TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 10

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Observation f2428573-fd22-40b5-b4be-678ee6373d6c · outbound

This paper cites GPT-4 Can't Reason.

Computational Reasoning of Large Language Models GPT-4 Can't Reason

Reference 11

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Observation dfd028dc-986f-460c-a034-26eed404c70d · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.

Computational Reasoning of Large Language Models Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Reference 12

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Observation 7af7b8ef-8ed3-49b7-a200-d7de92043545 · outbound

This paper cites American invitational mathematics examination - aime.

Computational Reasoning of Large Language Models American invitational mathematics examination - aime

Reference 13

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Observation 0968e1de-fc36-4ace-801e-d7ca73e6da77 · outbound

This paper cites MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics.

Computational Reasoning of Large Language Models MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics

Reference 14

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Observation 8168e342-b4cb-4fde-85c5-0d208ab88d1c · outbound

This paper cites ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics.

Computational Reasoning of Large Language Models ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics

Reference 15

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Observation df63f32a-1318-4e12-a74f-fceca00a9e5c · outbound

This paper cites Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines.

Computational Reasoning of Large Language Models Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines

Reference 16

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Observation b9263058-8266-4b4e-914d-a0b8750e40e9 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4791–4800, 2019.

Computational Reasoning of Large Language Models Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4791–4800, 2019

Reference 17

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Observation 0ce24d1a-970a-41ea-a6bb-6f5aa27cf42e · outbound

This paper cites Holistic Evaluation of Language Models.

Computational Reasoning of Large Language Models Holistic Evaluation of Language Models

Reference 19

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Observation 72835dbc-ee36-4493-b095-d9e9e6bb973f · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

Computational Reasoning of Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 20

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Observation f8fbd26f-4229-42e4-855e-13f3355c7691 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Computational Reasoning of Large Language Models Evaluating Large Language Models Trained on Code

Reference 21

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Observation 0d98c6df-bb4e-4c3f-bbbf-9bd2312cb5f8 · outbound

This paper cites ToxicChat: Unveiling hidden challenges of toxicity detection in real-world user-AI conversation.

Computational Reasoning of Large Language Models ToxicChat: Unveiling hidden challenges of toxicity detection in real-world user-AI conversation

Reference 22

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Computational Reasoning of Large Language Models Unresolved cited work

Reference 23

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Observation ddb7d71c-9505-46cb-bbee-c152c95fa82d · outbound

This paper cites Gonzalez, and Ion Stoica.

Computational Reasoning of Large Language Models Gonzalez, and Ion Stoica

Reference 24

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Observation ddfa2da4-2bde-4c81-a535-be5db0aa3194 · outbound

This paper cites Hashimoto.

Computational Reasoning of Large Language Models Hashimoto

Reference 25

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Observation b041c95b-eeee-4026-82fc-8d978048dd5e · outbound

This paper cites Competition-level code generation with alphacode.

Computational Reasoning of Large Language Models Competition-level code generation with alphacode

Reference 26

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Observation 60c713aa-baef-43bb-99d5-af972c1769c2 · outbound

This paper cites Competition-Level Problems are Effective LLM Evaluators.

Computational Reasoning of Large Language Models Competition-Level Problems are Effective LLM Evaluators

Reference 27

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Observation 4ac22620-077a-4524-929d-8c695c089975 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Computational Reasoning of Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 28

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Observation f835f6b6-1622-49d7-9730-baf42c40272c · outbound

This paper cites an unresolved cited work.

Computational Reasoning of Large Language Models Unresolved cited work

Reference 29

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Observation f92f8b6e-e031-4894-9a56-958e406caaa3 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Computational Reasoning of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 30

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Observation 25eda5ea-ed66-4c35-9eb8-f11ec9157c2f · outbound

This paper cites Solving quantitative reasoning problems with language models.

Computational Reasoning of Large Language Models Solving quantitative reasoning problems with language models

Reference 31

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Observation 5bc81cb8-054d-46d2-85e3-0b5d0dc96a78 · outbound

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

Computational Reasoning of Large Language Models Chain-of-thought prompting elicits reasoning in large language models

Reference 32

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Observation b73ec3cf-7691-429a-a4d0-fd0815553446 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Computational Reasoning of Large Language Models Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 33

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Observation 93d41ad2-bd9e-41ca-8c2c-9b6e60c85b36 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Computational Reasoning of Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 34

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Observation b0599313-69bf-4bbf-8d09-7fd17d0d4a2f · outbound

This paper cites Unicorn on rainbow: A universal commonsense reasoning model on a new multitask benchmark.

Computational Reasoning of Large Language Models Unicorn on rainbow: A universal commonsense reasoning model on a new multitask benchmark

Reference 35

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Observation 9e703f82-0379-46be-befa-c1b863d42c53 · outbound

This paper cites Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies.

Computational Reasoning of Large Language Models Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

Reference 36

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Observation 9e35e3b2-2dfd-4eea-8f7a-9dc8a475b363 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Computational Reasoning of Large Language Models Training Verifiers to Solve Math Word Problems

Reference 37

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Observation 438f2dd6-5e01-4c05-88bc-d522fbb8d94d · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Computational Reasoning of Large Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 38

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Observation 1e878af2-c98c-4187-abef-4b609cdb1a22 · outbound

This paper cites Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models.

Computational Reasoning of Large Language Models Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models

Reference 39

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Observation 44a4cdb4-c39f-4fe2-afe6-11d21366a1c2 · outbound

This paper cites FOLIO: Natural Language Reasoning with First-Order Logic.

Computational Reasoning of Large Language Models FOLIO: Natural Language Reasoning with First-Order Logic

Reference 40

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Observation 21030ce5-2cc6-421a-bfce-18ab298eb529 · outbound

This paper cites Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models.

Computational Reasoning of Large Language Models Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models

Reference 41

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Observation 5a67629b-de4b-4984-99ee-a77bf9081f80 · outbound

This paper cites LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models.

Computational Reasoning of Large Language Models LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models

Reference 42

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Observation 9e96e03c-3d8e-4901-8b37-31ea7de7a7d6 · outbound

This paper cites LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.

Computational Reasoning of Large Language Models LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 43

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Observation 65a974d6-3fc2-417a-9274-bc77874eec9c · outbound

This paper cites ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.

Computational Reasoning of Large Language Models ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language

Reference 44

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Observation 4118731a-03fd-4609-a1d2-deb5cda53238 · outbound

This paper cites From recognition to cognition: Visual commonsense reasoning.

Computational Reasoning of Large Language Models From recognition to cognition: Visual commonsense reasoning

Reference 45

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Observation 1e7a25c8-04d6-47b6-89d4-1b1fe825032d · outbound

This paper cites Next-qa: Next phase of question- answering to explaining temporal actions.

Computational Reasoning of Large Language Models Next-qa: Next phase of question- answering to explaining temporal actions

Reference 46

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Observation 748c1dfb-19a4-4eff-be5c-ede5af95d6fc · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

Computational Reasoning of Large Language Models Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 47

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Observation ad2b1d09-f699-438a-bd8e-921e430017ed · outbound

This paper cites ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints.

Computational Reasoning of Large Language Models ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:24:24.418464Z

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Observation 52b8bc4f-de80-4831-9396-738bc8de3dc6 · outbound

This paper cites Axiomatic set theory.

Computational Reasoning of Large Language Models Axiomatic set theory

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:25.099133Z

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Observation 5cf32f9d-a120-4cb4-b245-3b25bb9c0ecf · outbound

This paper cites Principles of mathematics.

Computational Reasoning of Large Language Models Principles of mathematics

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:25.085605Z

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Observation a24eb9b7-5aea-4546-ad41-51544772c6e6 · outbound

This paper cites The feynman lectures on physics.

Computational Reasoning of Large Language Models The feynman lectures on physics

Reference 51

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Observation 3e538da2-7a11-4ee6-ae9c-a34a3bb079fb · outbound

This paper cites The game of life.

Computational Reasoning of Large Language Models The game of life

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:25.057146Z

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Observation 9662313a-132c-4b6c-a86b-66f69ba20c6c · outbound

This paper cites The lean 4 theorem prover and programming language.

Computational Reasoning of Large Language Models The lean 4 theorem prover and programming language

Reference 53

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Observation cddb9a64-7383-4289-893e-e504dc4b334a · outbound

This paper cites On computable numbers, with an application to the entschei- dungsproblem.

Computational Reasoning of Large Language Models On computable numbers, with an application to the entschei- dungsproblem

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:25.035541Z

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Observation 2af80b93-be6f-4b90-84f8-7862beaf8e01 · outbound

This paper cites an unresolved cited work.

Computational Reasoning of Large Language Models Unresolved cited work

Reference 55

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Observation 3d232c0b-da39-40c1-b4b7-83aa4488dc0e · outbound

This paper cites Universality of tag systems with p = 2.

Computational Reasoning of Large Language Models Universality of tag systems with p = 2

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:25.009045Z

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Observation 3c5f4daf-bc32-4aba-a13e-76111a91f2e8 · outbound

This paper cites Formal reductions of the general combinatorial decision problem.

Computational Reasoning of Large Language Models Formal reductions of the general combinatorial decision problem

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:24.995374Z

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Observation 227d5f18-6326-4f5b-87b3-09f1b512d2ea · outbound

This paper cites Let's Verify Step by Step.

Computational Reasoning of Large Language Models Let's Verify Step by Step

Reference 58

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Observation 0b0e0fda-8985-47c0-9c72-57fd248e86c6 · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.

Computational Reasoning of Large Language Models Mmlu-pro: A more robust and challenging multi-task language understanding benchmark

Reference 59

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Observation bc814878-8adf-43e5-97ef-bd22a23dc4d1 · outbound

This paper cites The Llama 3 Herd of Models.

Computational Reasoning of Large Language Models The Llama 3 Herd of Models

Reference 60

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Observation 741b2e20-46bc-4ebd-8437-496385069bb0 · outbound

This paper cites Qwen2.5 Technical Report.

Computational Reasoning of Large Language Models Qwen2.5 Technical Report

Reference 61

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Observation 95d1352e-653f-45ce-8449-b75532c886ce · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Computational Reasoning of Large Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 62

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Observation 4bb87cb8-6a67-4f4a-917d-9afa40479f92 · outbound

This paper cites Qvq: To see the world with wisdom, December 2024.

Computational Reasoning of Large Language Models Qvq: To see the world with wisdom, December 2024

Reference 63

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Computational Reasoning of Large Language Models Gemma 3 Technical Report

Reference 64

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Computational Reasoning of Large Language Models Sky-t1: Train your own o1 preview model within $450

Reference 65

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Computational Reasoning of Large Language Models Gemini 2.5 pro, 2025

Reference 66

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Computational Reasoning of Large Language Models Grok-3, 2025

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:24.935020Z

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Computational Reasoning of Large Language Models Claude 3.7 sonnet thinking, 2025

Reference 68

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Computational Reasoning of Large Language Models Doubao 1.5 pro, 2025

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:24.906562Z

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Observation 00372d6b-5b30-43a3-8df7-53fa95a942ae · outbound

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Computational Reasoning of Large Language Models Openai o1 system card, Sep

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:24:24.892734Z

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Observation d550bf3d-3e79-49a1-a2cc-b02c2ff21db7 · outbound

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Computational Reasoning of Large Language Models Transformers: State- of-the-art natural language processing

Reference 71

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This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Computational Reasoning of Large Language Models Gonzalez, Hao Zhang, and Ion Stoica

Reference 72

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Observation 2cb08eac-a922-4a33-894a-e8f266ac8fc6 · outbound

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Computational Reasoning of Large Language Models Emergent Abilities of Large Language Models

Reference 73

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Computational Reasoning of Large Language Models s1: Simple test-time scaling

Reference 74

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Computational Reasoning of Large Language Models Unresolved cited work

Reference 75

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Observation f0778518-0310-42a1-a0de-a5735a80e048 · outbound

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Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:24:24.846062Z

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Observation ed0085b0-a9f5-47d0-a735-76b78afbf756 · outbound

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Computational Reasoning of Large Language Models Unresolved cited work

Reference 77

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Observation 8972f39f-8816-44b9-ab7c-acedc965c993 · outbound

This paper cites • If S′ = 1, the next state isQi1.

Computational Reasoning of Large Language Models • If S′ = 1, the next state isQi1

Reference 78

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Observation e0e0ea02-38c7-4b63-aef9-eab2bdcd0ac5 · outbound

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Computational Reasoning of Large Language Models Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:24:24.804132Z

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Observation 7b693ade-79ba-458c-819e-9fa314edcf31 · outbound

This paper cites an unresolved cited work.

Computational Reasoning of Large Language Models Unresolved cited work

Reference 80

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Coverage vector

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Outbound references

Pith citing papers