Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:22:46.428931Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2508.12620.
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 2026-08-15T17:22:46.428931Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
43 of 43 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning IEEEtran_HOWTO
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Sch \"a fer, S
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Jiang, K
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Nilsson-Nyman, G
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Lin and K.-C
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
Reference 16
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Allamanis, E
Reference 17
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning A Survey on Large Language Models for Code Generation
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Observation 8c12b5ab-b4f5-422a-9985-251d6c48d4f3 · outbound
Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Verma, V
Reference 19
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Observation c37eaaf2-726f-4b45-a378-64106157f8c2 · outbound
Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Touvron, T
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning StarCoder: may the source be with you!
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Code Llama: Open Foundation Models for Code
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Evaluating Large Language Models Trained on Code
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Austin, A
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning WizardCoder: Empowering Code Large Language Models with Evol-Instruct
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Magicoder: Empowering Code Generation with OSS-Instruct
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Source Code Data Augmentation for Deep Learning: A Survey
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Observation 63801d29-9ffa-4c11-aadd-cd09dfffaf68 · outbound
Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Allamanis, H
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Observation e4f3ba1c-6252-4877-a023-ab2d60859606 · outbound
Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Jain et al., ``Compiler-based data augmentation for code models,'' in Proceedings of the ACM/IEEE International Conference on Software Engineering, 2021
Reference 40
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
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Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work
Reference 44
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