Structured Thoughts For Improved Reasoning And Context Pruning | Paper Citation Record

Observation 4e98927a-8b61-4c8f-bfd0-878773e3d707 · outbound

This paper cites Advances in neural information processing systems , volume=.

Structured Thoughts For Improved Reasoning And Context Pruning Advances in neural information processing systems , volume=

Reference 1

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Observation 9e49f7f6-b7ce-440c-ab01-077d1d29823f · outbound

This paper cites Advances in neural information processing systems , volume=.

Structured Thoughts For Improved Reasoning And Context Pruning Advances in neural information processing systems , volume=

Reference 2

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Observation e3e23db2-4bdd-4603-9edb-51c8bc25e0f8 · outbound

This paper cites GPT-4 Technical Report.

Structured Thoughts For Improved Reasoning And Context Pruning GPT-4 Technical Report

Reference 3

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Observation b76a3f85-cd47-4f8b-86a9-7095aa2835b1 · outbound

This paper cites arXiv preprint arXiv:2505.00949 , year=.

Structured Thoughts For Improved Reasoning And Context Pruning arXiv preprint arXiv:2505.00949 , year=

Reference 4

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Observation b9742bcb-b929-427f-92ea-38f2ac952691 · outbound

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

Structured Thoughts For Improved Reasoning And Context Pruning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 5

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Observation 5aaa742d-7a09-47c5-8b74-d65db6d3608b · outbound

This paper cites Advances in neural information processing systems , volume=.

Structured Thoughts For Improved Reasoning And Context Pruning Advances in neural information processing systems , volume=

Reference 6

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Observation 48ce7df9-383b-496b-b00e-de4c722743c6 · outbound

This paper cites Longformer: The Long-Document Transformer.

Structured Thoughts For Improved Reasoning And Context Pruning Longformer: The Long-Document Transformer

Reference 7

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Observation c80ce6e3-6cab-41b2-8045-6a010918a2a3 · outbound

This paper cites Advances in neural information processing systems , volume=.

Structured Thoughts For Improved Reasoning And Context Pruning Advances in neural information processing systems , volume=

Reference 8

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Observation ad50743e-ccd7-418b-b5f7-8b00b5b684f8 · outbound

This paper cites Reformer: The Efficient Transformer.

Structured Thoughts For Improved Reasoning And Context Pruning Reformer: The Efficient Transformer

Reference 9

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Observation e1e6f0ed-9a23-4706-9cf1-801529c43eb9 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Structured Thoughts For Improved Reasoning And Context Pruning Linformer: Self-Attention with Linear Complexity

Reference 10

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Observation ac27c8c2-bfb5-4a76-ab93-e7486d91222a · outbound

This paper cites Rethinking Attention with Performers.

Structured Thoughts For Improved Reasoning And Context Pruning Rethinking Attention with Performers

Reference 11

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Observation be35fff4-06d6-4fa7-b804-057fc9654d05 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

Structured Thoughts For Improved Reasoning And Context Pruning Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 12

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Observation 55d8fb98-b1bc-4dbf-a4dc-258e23a394e2 · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

Structured Thoughts For Improved Reasoning And Context Pruning Compressive Transformers for Long-Range Sequence Modelling

Reference 13

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Observation 3daab55f-c8a0-4ce9-a416-b1d8ece15b41 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Structured Thoughts For Improved Reasoning And Context Pruning Efficient Streaming Language Models with Attention Sinks

Reference 14

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Observation c82e1157-b063-4e43-94fa-57c08e81271e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Structured Thoughts For Improved Reasoning And Context Pruning Advances in Neural Information Processing Systems , volume=

Reference 15

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Observation ccc29096-3f45-49e3-85f1-84b97ec275aa · outbound

This paper cites Layer-Condensed KV Cache for Efficient Inference of Large Language Models.

Structured Thoughts For Improved Reasoning And Context Pruning Layer-Condensed KV Cache for Efficient Inference of Large Language Models

Reference 16

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Observation 2518dda7-f2aa-429c-ac6a-066eadd27f77 · outbound

This paper cites LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference.

Structured Thoughts For Improved Reasoning And Context Pruning LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference

Reference 17

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Observation 8dd30e0f-1034-40cb-b543-3d487c147768 · outbound

This paper cites PENCIL: Long Thoughts with Short Memory.

Structured Thoughts For Improved Reasoning And Context Pruning PENCIL: Long Thoughts with Short Memory

Reference 18

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Observation 0bd96a13-5519-4653-90f3-a986b948c4f6 · outbound

This paper cites Reasoning Models Can Be Effective Without Thinking.

Structured Thoughts For Improved Reasoning And Context Pruning Reasoning Models Can Be Effective Without Thinking

Reference 19

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Observation 0c4af4d7-7a6e-4cab-abce-afe7600fb256 · outbound

This paper cites arXiv preprint arXiv:2506.02536 , year=.

Structured Thoughts For Improved Reasoning And Context Pruning arXiv preprint arXiv:2506.02536 , year=

Reference 20

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Observation 155a5dd1-b92b-4f21-a779-452c5b5b7617 · outbound

This paper cites arXiv preprint arXiv:2504.15895 , year=.

Structured Thoughts For Improved Reasoning And Context Pruning arXiv preprint arXiv:2504.15895 , year=

Reference 21

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Observation cb554271-ac17-49b2-8bb5-4a725c0e2677 · outbound

This paper cites Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning.

Structured Thoughts For Improved Reasoning And Context Pruning Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning

Reference 22

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Observation 8a1161a7-2aea-4840-997a-b65ef60f1ba4 · outbound

This paper cites "Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding.

Structured Thoughts For Improved Reasoning And Context Pruning "Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding

Reference 23

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Observation 46cbc909-dbd5-40df-b951-21c5ce995efa · outbound

This paper cites AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning.

Structured Thoughts For Improved Reasoning And Context Pruning AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning

Reference 24

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Observation 1f50a51d-e0e0-4930-81ef-6f1b90c55994 · outbound

This paper cites LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

Structured Thoughts For Improved Reasoning And Context Pruning LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 25

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Observation ab9422ab-6857-428e-9bd7-a664e32ccd6e · outbound

This paper cites NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time.

Structured Thoughts For Improved Reasoning And Context Pruning NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time

Reference 26

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Observation fdf0db0d-b3d0-4dfb-a474-43e67483efac · outbound

This paper cites Qwen2.5-Coder Technical Report.

Structured Thoughts For Improved Reasoning And Context Pruning Qwen2.5-Coder Technical Report

Reference 27

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Observation 8aa49526-a514-4620-822c-f5b60dfad370 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Structured Thoughts For Improved Reasoning And Context Pruning FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 28

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Observation 0599a129-44fd-483e-b9f7-b2c36549318a · outbound

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Structured Thoughts For Improved Reasoning And Context Pruning Unresolved cited work

Reference 29

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Observation 79f6ec1e-1250-4725-b5e4-763313e21e88 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Structured Thoughts For Improved Reasoning And Context Pruning Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 30

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Observation 1de6b6c3-d3eb-4c27-b83b-7c352ebad523 · outbound

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

Structured Thoughts For Improved Reasoning And Context Pruning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 31

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Observation 02babb62-5f63-4aeb-a70d-e79af725bef3 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Structured Thoughts For Improved Reasoning And Context Pruning Proximal Policy Optimization Algorithms

Reference 32

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Observation 02e7ff5f-32c1-4bbc-b896-f171db3d8dcf · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Structured Thoughts For Improved Reasoning And Context Pruning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 33

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Reference 34

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Reference 35

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This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Structured Thoughts For Improved Reasoning And Context Pruning Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 36

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This paper cites Advances in Neural Information Processing Systems , volume=.

Structured Thoughts For Improved Reasoning And Context Pruning Advances in Neural Information Processing Systems , volume=

Reference 37

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Structured Thoughts For Improved Reasoning And Context Pruning International Conference on Learning Representations (ICLR) , year=

Reference 38

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This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Structured Thoughts For Improved Reasoning And Context Pruning Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 39

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Reference 40

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This paper cites The Twelfth International Conference on Learning Representations , year=.

Structured Thoughts For Improved Reasoning And Context Pruning The Twelfth International Conference on Learning Representations , year=

Reference 41

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This paper cites Solving math word problems with process- and outcome-based feedback.

Structured Thoughts For Improved Reasoning And Context Pruning Solving math word problems with process- and outcome-based feedback

Reference 42

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Observation da886d2f-5d1b-45f5-b92c-c7ec909f6a29 · outbound

This paper cites Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning.

Structured Thoughts For Improved Reasoning And Context Pruning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 43

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Observation 77b74e1d-91bb-4078-99e3-41ece2ce0838 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Structured Thoughts For Improved Reasoning And Context Pruning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 44

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Structured Thoughts For Improved Reasoning And Context Pruning s1: Simple test-time scaling

Reference 45

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Observation 28839c97-0f52-49aa-907a-098b852ed986 · outbound

This paper cites Flex Attention: A Programming Model for Generating Optimized Attention Kernels.

Structured Thoughts For Improved Reasoning And Context Pruning Flex Attention: A Programming Model for Generating Optimized Attention Kernels

Reference 46

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Structured Thoughts For Improved Reasoning And Context Pruning Proceedings of the Twentieth European Conference on Computer Systems , pages=

Reference 47

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Observation 6f94c8b8-d90e-4bc8-94e6-5989e30ac531 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Structured Thoughts For Improved Reasoning And Context Pruning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 48

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Structured Thoughts For Improved Reasoning And Context Pruning Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=

Reference 49

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Structured Thoughts For Improved Reasoning And Context Pruning HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 50

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Structured Thoughts For Improved Reasoning And Context Pruning 2025 , eprint=

Reference 51

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Observation 5a402f40-7bf3-4d2a-8b9d-1d5426015d99 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

Structured Thoughts For Improved Reasoning And Context Pruning LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 52

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Observation 06710aeb-790e-4637-9b65-dcf89d57f4ad · outbound

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Structured Thoughts For Improved Reasoning And Context Pruning Lost in the Middle: How Language Models Use Long Contexts

Reference 53

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Observation 25a3add2-c564-4246-a835-b8eb017da5e5 · outbound

This paper cites When More is Less: Understanding Chain-of-Thought Length in LLMs.

Structured Thoughts For Improved Reasoning And Context Pruning When More is Less: Understanding Chain-of-Thought Length in LLMs

Reference 54

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Observation 424ac4b4-0b40-4d48-9f59-797bba4a8b06 · outbound

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Structured Thoughts For Improved Reasoning And Context Pruning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 55

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Reference 56

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Observation 4e7a70aa-5ee3-47dd-a587-d07870a2f56a · outbound

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Structured Thoughts For Improved Reasoning And Context Pruning Unresolved cited work

Reference 57

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This paper cites Advances in neural information processing systems , volume=.

Structured Thoughts For Improved Reasoning And Context Pruning Advances in neural information processing systems , volume=

Reference 58

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Observation b03d169c-a3c8-4fdc-b97e-0aa2679f2167 · outbound

This paper cites TheoremQA: A Theorem-driven Question Answering dataset.

Structured Thoughts For Improved Reasoning And Context Pruning TheoremQA: A Theorem-driven Question Answering dataset

Reference 59

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Observation c4a6e70c-48cf-4520-9fda-7277218e65e0 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Structured Thoughts For Improved Reasoning And Context Pruning OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 60

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Observation 8d9e4c45-8da4-499d-b6b3-a0eee07f8b5d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Structured Thoughts For Improved Reasoning And Context Pruning Training Verifiers to Solve Math Word Problems

Reference 61

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Observation 603ce71c-60d2-4c17-a412-fcf6d5368fa3 · outbound

This paper cites When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs.

Structured Thoughts For Improved Reasoning And Context Pruning When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-14T12:08:05.502310Z

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Observation f2244e3d-ae28-4746-96ff-a48ba458ff32 · outbound

This paper cites Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models.

Structured Thoughts For Improved Reasoning And Context Pruning Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-14T12:08:05.502310Z

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Observation 51362d2b-9aa0-4b19-bd33-0068eb281a55 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Structured Thoughts For Improved Reasoning And Context Pruning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-14T12:08:05.502310Z

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Unavailable: canonical work link unavailable.

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