Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:28.303524Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2504.17665.
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 2026-08-16T10:38:28.303524Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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
36 of 36 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 62a960ec-5e32-450a-96d9-08c7fe067a1a · outbound
Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics online" 'onlinestring :=
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics write newline
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics GPT-4 Technical Report
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Evaluating Large Language Models Trained on Code
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Training Verifiers to Solve Math Word Problems
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics The Llama 3 Herd of Models
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Unresolved cited work
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
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Observation a1e98042-fb50-45d1-aea0-72ac99a2a6e1 · outbound
Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Measuring Mathematical Problem Solving With the MATH Dataset
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics MathPrompter: Mathematical Reasoning using Large Language Models
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics How Interpretable are Reasoning Explanations from Prompting Large Language Models?
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
Reference 20
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Unresolved cited work
Reference 22
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics StarCoder 2 and The Stack v2: The Next Generation
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Faithful Chain-of-Thought Reasoning
Reference 24
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Unresolved cited work
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Code Llama: Open Foundation Models for Code
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Unresolved cited work
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics https://lyz-code.github.io/autoimport/ autoimport
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Unresolved cited work
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Unresolved cited work
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
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Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
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