Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:40:03.901157Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 12 inbound Pith citation observations for arXiv:2501.07811.
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 2026-08-10T20:40:03.901157Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:55:59.157136Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T05:19:34.882587Z
47 of 47 outbound references displayed
External citation measurements
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Observation 82193e90-1306-4be9-934f-cc10167e1d4b · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Program synthesis: challenges and opportunities,
Reference 1
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Observation f5dfbd90-4acf-41c8-93b3-5bf189de9b30 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Program synthesis,
Reference 2
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Observation 076600b7-af16-44f2-bc1e-4f294e6236dc · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation From Symplectic to Poisson. A Study of Reduction and a Proposal Towards Implosion
Reference 4
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Observation 7dcec76b-7a16-4913-8060-7bbb9c75726f · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Interpretable Deep Learning Methods for Multiview Learning
Reference 5
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Observation 1b6848e7-6a98-468e-bbf5-16dde1a475f3 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Chain-of-thought prompting elicits reasoning in large language models,
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Observation 33acd6ed-91af-4d4a-9f3c-623fad9ffcb4 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Self-planning code generation with large language models,
Reference 8
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Observation 05c49b58-6b26-4c4a-9c29-a608c198c464 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation
Reference 9
Source-reported events for the cited work
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Observation 9c1b6071-0261-4fc2-992c-3a9aeff3b7e6 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Mapcoder: Multi-agent code generation for competitive problem solving,
Reference 10
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Observation 9811a68d-696e-4fd1-b4fc-9c5efd99d315 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Codescore: Evaluating code generation by learning code execution,
Reference 12
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Observation 777ff221-ad44-4386-b5d6-e9856fc2dccf · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Language models are unsupervised multitask learners,
Reference 13
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Unavailable: canonical work link unavailable.
Observation 2cd57ea3-cb19-4367-bb0a-e952798f0ab4 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Language models are few-shot learners,
Reference 14
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Observation 857afeb4-596a-4dda-bda0-0ae9e5ef6fd0 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Evaluating Large Language Models Trained on Code
Reference 15
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Observation a1f8b59a-2a01-4314-85b8-1edf0622dfa0 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Competition-level code generation with alphacode,
Reference 16
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dc85793f-c51e-46d8-bf87-eb5faa99595e · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation CodeT: Code Generation with Generated Tests
Reference 17
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Unavailable: canonical work link unavailable.
Observation 5678dc5f-82e9-4aaf-9c80-5ee7a4c7aa72 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Self-Edit: Fault-Aware Code Editor for Code Generation
Reference 18
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Observation ffc78251-ccc5-4d94-8aaf-9a31f42bd30c · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Generating Sequences by Learning to Self-Correct
Reference 19
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Unavailable: canonical work link unavailable.
Observation 1e4df73c-d3f9-411a-b04e-b5585ccf0fc5 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Coderl: Mastering code generation through pretrained models and deep reinforcement learning,
Reference 20
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Observation b5401d65-6a4f-48de-89ca-d569db4b3fec · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Is self-repair a silver bullet for code generation?
Reference 21
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Observation d103dc6b-e8b9-4845-9e9a-520883e32160 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems
Reference 22
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Observation 66b3968c-c7fc-4699-a054-dec8d0705aa4 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Leveraging Automated Unit Tests for Unsupervised Code Translation
Reference 23
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Observation b600c66c-cebb-4ae4-bf66-ffd5fd121e5b · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Scriptoriumws: A code generation assistant for weak supervision,
Reference 24
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Observation e07298bd-2ba8-4a6a-9d8e-c04c46e2e4ea · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Multi-agent systems and simulation: a survey from an application perspective,
Reference 25
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Observation 9ee5fc66-afad-4f40-90b8-3c747af20894 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Self-collaboration Code Generation via ChatGPT
Reference 26
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Observation 039a7c2e-5eae-496d-adb2-db30331ff185 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Reference 27
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Observation c799b1db-90e3-4492-94af-5aeea8012f61 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation ChatDev: Communicative Agents for Software Development
Reference 28
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Observation 52d92657-56dd-4a79-a089-84a80da795ab · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Program Synthesis with Large Language Models
Reference 29
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Observation 194f1576-f1a6-418d-b95b-5c134ac9cccb · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation InCoder: A Generative Model for Code Infilling and Synthesis
Reference 30
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Observation 5f670e11-e99c-4e82-a107-a74b1c15f6c2 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
Reference 31
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Observation 5e6e2e7a-1bf8-4a0e-aba6-20afc0b04c7f · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation StarCoder: may the source be with you!
Reference 32
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Observation c216a150-01b1-4e74-9098-775cc93f45e8 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Reference 33
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Observation 78357b01-3790-4391-b64c-3e9858f6870e · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation GPT-4 Technical Report
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Observation 7c7c89f3-cb60-44a3-9d46-5e9152a9b270 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation ReAct: Synergizing Reasoning and Acting in Language Models
Reference 35
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Observation 53c087b2-4eec-4387-a408-d50c2d94e73a · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Reflexion: Language agents with verbal reinforcement learning,
Reference 36
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Observation a9e17e71-77ab-406b-ab54-cd7b2e963dcb · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Reference 37
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Observation b83502fc-62da-4024-89c1-136c4b78accf · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Reasoning with Language Model is Planning with World Model
Reference 38
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Observation d551ed15-d4bd-455a-990c-95db5485f7eb · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Teaching Large Language Models to Self-Debug
Reference 39
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Observation bdd52b30-05ac-4449-818a-91f3ab27f091 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Structured Chain-of-Thought Prompting for Code Generation
Reference 40
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Observation 30ea8579-bd6a-4fad-8433-ad6d2878b6ef · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
Reference 41
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Observation 0c5ac962-e061-41e2-813f-ac1603f08da8 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
Reference 42
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Observation 537bf671-73be-4c52-94e2-9107ad7c19cc · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Palm: Scaling language modeling with pathways,
Reference 43
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Observation 510bca19-9971-4e6e-abf7-001635cff60e · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Reference 44
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Observation f782ec5f-d30f-4ac5-9992-4bdc10afa010 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Binary codes capable of correcting deletions, insertions, and reversals,
Reference 45
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Observation 1325c3b7-2bbb-4ce5-b89b-43f8ecf5d98c · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Bleu: a method for automatic evaluation of machine translation,
Reference 46
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Observation e9063e03-66d5-41b9-ad77-dd3141d73aa4 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Psutil documentation,
Reference 47
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Observation 1d001116-0ec3-48da-8bf3-bffbe54140fc · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Code Llama: Open Foundation Models for Code
Reference 48
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Observation 5b518aa8-a025-4c4a-b756-9773e5c06fa5 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation CodeScore: Evaluating Code Generation by Learning Code Execution
Reference 2023
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Observation 896fd5a9-ef6e-48b7-97b4-07bbfd15a1c2 · outbound
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
Reference 2024
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Unavailable: canonical work link unavailable.
Observation 36295a4c-eb88-4646-acc3-09da600168c9 · inbound
AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b36373c-3c78-43a5-bcb4-869b7c295e03 · inbound
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
Reference 87
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Unavailable: canonical work link unavailable.
Observation 276f0281-1890-415e-83b3-1c31a9ecbbc0 · inbound
MemoCoder: Automated Function Synthesis using LLM-Supported Agents CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
Reference 28
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Observation 5d807705-243b-4f88-8d53-d310b69b50a5 · inbound
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
Reference 66
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Observation 5d9d72d8-cc00-4398-ae77-7a5afe79577d · inbound
Toward Executable Repository-Level Code Generation via Environment Alignment CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
Reference 25
Source-reported events for the cited work
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Observation a8bfbb6c-6070-49b0-9804-732c14b49dfa · inbound
ARIADNE: Agentic Reward-Informed Adaptive Decision Exploration via Blackboard-Driven MCTS for Competitive Program Generation CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
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Observation 88482fad-bb8e-418e-b787-46389ee49e5c · inbound
PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
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Observation 2787ce55-4139-4398-a688-7dbb2c42bcca · inbound
Code as Agent Harness CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
Reference 168
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Observation 7af89d50-cee2-4568-b48d-a500e6097c84 · inbound
Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
Reference 49
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Observation ce1a8e4f-3bb0-44cd-8edc-0185aa9f3326 · inbound
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Observation f66795b9-3dc0-4aaf-893a-167bb19b5d12 · inbound
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Reference 29
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