Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:11:51.801038Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 18 inbound Pith citation observations for arXiv:2502.07316.
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 2026-08-08T13:11:51.801038Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:49.182311Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:19:43.920025Z
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction write newline
Reference 1
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Observation 674b3a88-c4e9-4138-a046-f8f0e6dfc751 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Qwen Technical Report
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Observation 558c8f18-772b-448f-b2d3-2e54e67d67c7 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Smollm-corpus, 2024
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Training Verifiers to Solve Math Word Problems
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Observation ae3c64e5-41b6-4ea1-b54c-9c533c2c8c2c · outbound
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction J., Kaiser, G., and Ray, B
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction J., Kaiser, G., Yang, J., and Ray, B
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Traced: Execution-aware pre-training for source code
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Observation b4d4f12b-0366-4f31-a759-cadcae69654d · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction The Llama 3 Herd of Models
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Observation 4bdfee9a-31a6-47b2-a7a8-2eed871cc654 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Gemma 2: Improving Open Language Models at a Practical Size
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Observation 032cab5c-a529-42f9-98f2-aa715497006d · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Neural Turing Machines
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Observation abffcb0e-e59d-4fb9-8306-f438ca72cc49 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction J., Solar-Lezama, A., Synnaeve, G., and Wang, S
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Measuring massive multitask language understanding
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Observation 90638f7e-2c51-4c1a-a363-b947e0916845 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Measuring mathematical problem solving with the MATH dataset
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Observation 79bc69ef-58dc-4758-9487-0711293cab21 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Towards Reasoning in Large Language Models: A Survey
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Observation 995d89b6-3962-4f5a-b72b-8240891606d2 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
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Observation af861f65-0b39-4ed7-910d-290b372a92a6 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Qwen2.5-Coder Technical Report
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Observation 4a85eb4a-2cf0-4634-bbb3-0cb6a5085f1a · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction OpenAI o1 System Card
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Observation ab3297a0-61ca-418d-aaa3-980a5ad40a59 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Reference 22
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Observation e1c9c2b1-cf39-44d2-aa61-90f26f5b4e5f · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Mixtral of Experts
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Observation 3790b217-7565-44a7-b06b-b4c22e9784a2 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
Reference 24
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Observation 00f33aaf-6960-4f2f-ac19-8a1b22d3aca1 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction and Wolf, A
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Observation a3baf06a-eeb1-40c0-8741-4a037ad3bbd6 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Reference 26
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Observation f2fa3866-e3b0-435a-9775-a9b5422fefab · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Code execution with pre-trained language models
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Observation 4a9a8be1-b082-47cf-b4d8-222934c993aa · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction StarCoder 2 and The Stack v2: The Next Generation
Reference 29
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Observation 9e9b70c1-261a-47d9-9fdc-b2e8e9370432 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
Reference 30
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Observation 0a4f8268-4360-4d83-844e-eda88dc53bde · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Codestral, 2024
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Reference 33
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Observation 85a2ad47-42a2-4740-a3ca-82e72fc23a57 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Reasoning with Language Model Prompting: A Survey
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Observation 696cdb50-5d79-4088-b03f-bacaf73b5706 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction L., Stickland, A
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Code Llama: Open Foundation Models for Code
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Observation 60ecfa4d-893a-4e7e-9c9a-2e988af98660 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Winogrande: An adversarial winograd schema challenge at scale
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 38
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Observation 78b94966-d4c8-42f7-95be-366900a8aa7b · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
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Observation dac55e59-1810-43c3-98b7-e8f604dfe20b · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
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Observation a6250938-a598-415e-b439-6dde92ed2d2a · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction W., Chowdhery, A., Le, Q., Chi, E., Zhou, D., et al
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Observation 491f813a-32d6-4cd9-9f8c-c7d40275fa89 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Reference 42
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Leti: Learning to generate from textual interactions
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction and Chiew, V
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction LiveBench: A Challenging, Contamination-Limited LLM Benchmark
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Observation 2d42c829-c4b4-42f6-891e-3213d9c493c7 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
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Observation 11514f86-26f8-4a0d-b90a-7de778c18663 · outbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Learning to Execute
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CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On
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Dream-Coder 7B: An Open Diffusion Language Model for Code CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction
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Observation e42f2a57-3f07-4347-bf07-174a6e9d72d9 · inbound
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