Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:30:43.732528Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2506.10525.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:30:43.732528Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-12T08:40:40.910461Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:40:41.966992Z
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a6d41adf-9003-4efc-96ae-f4abbe5d2c83 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length GPT-4 Technical Report
Reference 1
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Observation 085ca784-ec07-4589-b0cc-2bf9fe381f41 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 2
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Observation 181e9b3c-fc3a-4b65-9044-177b531fd61c · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 3
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Observation 56bbef96-b376-4315-a59a-d1194ce03380 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 4
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Observation 080400c4-9199-44c4-80eb-043eaab6b485 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
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Observation 58c29299-0afa-46c1-91e1-7908038b11d8 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity
Reference 6
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Observation d69930fc-f4f2-4837-a143-7100ec5c7fe3 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 7
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Observation 25feb3ce-8b89-42e1-bcae-079939d47858 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 8
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Observation d7019c4b-ba3f-410e-a2fa-98961a55c0e3 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation
Reference 9
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Observation 92d62d8b-3b14-4b96-9898-2fe10eef2b7a · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Reference 10
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Observation edd0a937-333b-4642-9e55-eb752022975f · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Evaluating Large Language Models Trained on Code
Reference 11
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Observation ce330976-62e4-4c45-a122-be0549cd89c5 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 12
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Observation 7c2eb538-bc52-4b94-8ea3-f5488ab8d1b7 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 13
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Observation 8b262a59-c24a-4bd7-bf3f-1c216af475e9 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 14
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Observation 53f4c308-0197-49a2-8071-825db8eaee08 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 15
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Observation 93b1f274-69b1-47fd-bce9-1788d8f777be · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Reference 16
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Observation 245272a0-dde3-41bd-aa09-5c90b0a76eb9 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 17
Source-reported events for the cited work
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Observation a6d507ab-7111-45cc-a462-6226fcbe8cfb · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length The Llama 3 Herd of Models
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4ca2098-8333-409f-adec-9f7189fac41e · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b034d4d6-8ffc-4734-bf5e-47a1c9d05c2b · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Reference 20
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Observation b407d3de-efad-4227-b031-c7652a78dd28 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Language Model Cascades: Token-level uncertainty and beyond
Reference 21
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Observation b89f800a-d10e-49e1-af3a-f17bcfa6d4ea · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 22
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AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 23
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Observation 740f8f4d-9ffc-40a9-aaa6-3bf02bc37561 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Qwen2.5-Coder Technical Report
Reference 24
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Observation a7a7b159-4077-40c5-8c41-283cbaa1fa1c · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 25
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Unavailable: canonical work link unavailable.
Observation 38c27a63-7aab-4904-91fd-52fa2f6f72cc · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Reference 26
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Observation b5b5bbf8-09d7-4c79-b561-3896ca3d8954 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 27
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Observation 2d98c8f2-cb62-4d1f-9b53-0535dd8758cc · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?
Reference 28
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Observation c84b1aed-5527-4a07-99d0-31ba94f60efd · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 29
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Observation ff3db786-fd0f-452c-a8b1-029ef1b21dd0 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Reference 30
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Observation 3f0b7629-f38b-47a7-aa3a-d9435ac079ba · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-V3 Technical Report
Reference 31
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Observation ce55d222-9e74-4001-9191-381bc053aa64 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 32
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Observation 4e68e30d-277c-49e1-95bf-b374a7ea367d · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length FullStack Bench: Evaluating LLMs as Full Stack Coders
Reference 33
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Observation 6f044a43-55fa-4252-a4d9-595f70fb8249 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length StarCoder 2 and The Stack v2: The Next Generation
Reference 34
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Observation bd49d803-f4e7-4f44-9eed-4e88660907a9 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Reference 35
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Observation 32edd287-44c9-4c67-aa65-b888d08bd87a · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Reference 36
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Observation 42128702-f35f-4589-9f32-d278006f71c6 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 37
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Observation 00982c16-3aa2-4f64-8f00-cafb8c3066b7 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Representation Learning with Contrastive Predictive Coding
Reference 38
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Observation 319037ad-95de-44ac-a5e9-e9c2444920c2 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 39
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Observation 3c311e54-140c-401e-b012-4c4ab196a9b8 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 40
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AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 41
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Observation 2ff70853-156d-4456-9d79-edd42e2d9209 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 42
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Observation 1bb8b34d-2271-4f63-932d-c787bf8e5539 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Code Llama: Open Foundation Models for Code
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Observation e32e607b-e44d-4e50-87db-0ff058070d3b · outbound
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Observation b930f33c-fd93-46a0-9a66-acd38f40e671 · outbound
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AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 47
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Observation e9643e6f-418d-45ef-adfa-f068a8990bea · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Llama 2: Open Foundation and Fine-Tuned Chat Models
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Observation 25c25e3a-7ab5-4e77-957f-277fca33f16d · outbound
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Reference 50
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AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 51
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AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Qwen2.5 Technical Report
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Observation 231a6897-843b-4d50-bad0-1cf99c1ea2ae · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Reference 55
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Observation eae85b95-1cc1-44ad-964a-a3da894f18e1 · outbound
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Observation bb07e68d-d2ab-4062-bcb6-f87f4f21e081 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Unresolved cited work
Reference 57
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Observation de1b0651-0b12-440d-9045-b5403c4351d6 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Reference 58
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Observation 9feef7df-bea4-4c2f-bd73-a41ef18d0074 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length InProceedings of the 44th International Conference on Software Engineering
Reference 2022
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Observation 833ed143-18c0-4c71-a32b-3604d6225d84 · outbound
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Reference 2024
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Observation 3ccab821-797d-4115-8d18-3b5c0b0c7ee5 · inbound
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length
Reference 122
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