Paper Citation Record · LEDGER

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation

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.

pith.paper-citation-record.v1
2501.07811 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:40:03.901157Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:55:59.157136Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T05:19:34.882587Z

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy17
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82193e90-1306-4be9-934f-cc10167e1d4b · outbound

This paper cites Program synthesis: challenges and opportunities,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Program synthesis: challenges and opportunities,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.707680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5dfbd90-4acf-41c8-93b3-5bf189de9b30 · outbound

This paper cites Program synthesis,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Program synthesis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.689868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 076600b7-af16-44f2-bc1e-4f294e6236dc · outbound

This paper cites From Symplectic to Poisson. A Study of Reduction and a Proposal Towards Implosion.

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

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T20:40:04.400999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7dcec76b-7a16-4913-8060-7bbb9c75726f · outbound

This paper cites Interpretable Deep Learning Methods for Multiview Learning.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Interpretable Deep Learning Methods for Multiview Learning

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T20:40:04.378002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b6848e7-6a98-468e-bbf5-16dde1a475f3 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Chain-of-thought prompting elicits reasoning in large language models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.673027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33acd6ed-91af-4d4a-9f3c-623fad9ffcb4 · outbound

This paper cites Self-planning code generation with large language models,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Self-planning code generation with large language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.657006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05c49b58-6b26-4c4a-9c29-a608c198c464 · outbound

This paper cites CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.702556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1b6071-0261-4fc2-992c-3a9aeff3b7e6 · outbound

This paper cites Mapcoder: Multi-agent code generation for competitive problem solving,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Mapcoder: Multi-agent code generation for competitive problem solving,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.641329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9811a68d-696e-4fd1-b4fc-9c5efd99d315 · outbound

This paper cites Codescore: Evaluating code generation by learning code execution,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Codescore: Evaluating code generation by learning code execution,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.624747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 777ff221-ad44-4386-b5d6-e9856fc2dccf · outbound

This paper cites Language models are unsupervised multitask learners,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Language models are unsupervised multitask learners,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.732370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cd57ea3-cb19-4367-bb0a-e952798f0ab4 · outbound

This paper cites Language models are few-shot learners,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Language models are few-shot learners,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.599276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 857afeb4-596a-4dda-bda0-0ae9e5ef6fd0 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Evaluating Large Language Models Trained on Code

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.741459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f8b59a-2a01-4314-85b8-1edf0622dfa0 · outbound

This paper cites Competition-level code generation with alphacode,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Competition-level code generation with alphacode,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.583862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc85793f-c51e-46d8-bf87-eb5faa99595e · outbound

This paper cites CodeT: Code Generation with Generated Tests.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation CodeT: Code Generation with Generated Tests

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.750525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5678dc5f-82e9-4aaf-9c80-5ee7a4c7aa72 · outbound

This paper cites Self-Edit: Fault-Aware Code Editor for Code Generation.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Self-Edit: Fault-Aware Code Editor for Code Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.755182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc78251-ccc5-4d94-8aaf-9a31f42bd30c · outbound

This paper cites Generating Sequences by Learning to Self-Correct.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Generating Sequences by Learning to Self-Correct

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.760616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e4df73c-d3f9-411a-b04e-b5585ccf0fc5 · outbound

This paper cites Coderl: Mastering code generation through pretrained models and deep reinforcement learning,.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.567433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5401d65-6a4f-48de-89ca-d569db4b3fec · outbound

This paper cites Is self-repair a silver bullet for code generation?.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Is self-repair a silver bullet for code generation?

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.551106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d103dc6b-e8b9-4845-9e9a-520883e32160 · outbound

This paper cites Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems.

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

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:40:04.221877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66b3968c-c7fc-4699-a054-dec8d0705aa4 · outbound

This paper cites Leveraging Automated Unit Tests for Unsupervised Code Translation.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Leveraging Automated Unit Tests for Unsupervised Code Translation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.779303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b600c66c-cebb-4ae4-bf66-ffd5fd121e5b · outbound

This paper cites Scriptoriumws: A code generation assistant for weak supervision,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Scriptoriumws: A code generation assistant for weak supervision,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.535006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e07298bd-2ba8-4a6a-9d8e-c04c46e2e4ea · outbound

This paper cites Multi-agent systems and simulation: a survey from an application perspective,.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.518552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ee5fc66-afad-4f40-90b8-3c747af20894 · outbound

This paper cites Self-collaboration Code Generation via ChatGPT.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Self-collaboration Code Generation via ChatGPT

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.792886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039a7c2e-5eae-496d-adb2-db30331ff185 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.797991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c799b1db-90e3-4492-94af-5aeea8012f61 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation ChatDev: Communicative Agents for Software Development

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.802280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d92657-56dd-4a79-a089-84a80da795ab · outbound

This paper cites Program Synthesis with Large Language Models.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Program Synthesis with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.806964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 194f1576-f1a6-418d-b95b-5c134ac9cccb · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.811797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f670e11-e99c-4e82-a107-a74b1c15f6c2 · outbound

This paper cites CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.817318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e6e2e7a-1bf8-4a0e-aba6-20afc0b04c7f · outbound

This paper cites StarCoder: may the source be with you!.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation StarCoder: may the source be with you!

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.821825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c216a150-01b1-4e74-9098-775cc93f45e8 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.826503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78357b01-3790-4391-b64c-3e9858f6870e · outbound

This paper cites GPT-4 Technical Report.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation GPT-4 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.830935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c7c89f3-cb60-44a3-9d46-5e9152a9b270 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.836108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53c087b2-4eec-4387-a408-d50c2d94e73a · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Reflexion: Language agents with verbal reinforcement learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.499954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9e17e71-77ab-406b-ab54-cd7b2e963dcb · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.845219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83502fc-62da-4024-89c1-136c4b78accf · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Reasoning with Language Model is Planning with World Model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.850902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d551ed15-d4bd-455a-990c-95db5485f7eb · outbound

This paper cites Teaching Large Language Models to Self-Debug.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Teaching Large Language Models to Self-Debug

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.856811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd52b30-05ac-4449-818a-91f3ab27f091 · outbound

This paper cites Structured Chain-of-Thought Prompting for Code Generation.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Structured Chain-of-Thought Prompting for Code Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.861829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ea8579-bd6a-4fad-8433-ad6d2878b6ef · outbound

This paper cites CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.866719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5ac962-e061-41e2-813f-ac1603f08da8 · outbound

This paper cites INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.871609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537bf671-73be-4c52-94e2-9107ad7c19cc · outbound

This paper cites Palm: Scaling language modeling with pathways,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Palm: Scaling language modeling with pathways,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.484073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 510bca19-9971-4e6e-abf7-001635cff60e · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.881696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f782ec5f-d30f-4ac5-9992-4bdc10afa010 · outbound

This paper cites Binary codes capable of correcting deletions, insertions, and reversals,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Binary codes capable of correcting deletions, insertions, and reversals,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.467292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1325c3b7-2bbb-4ce5-b89b-43f8ecf5d98c · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Bleu: a method for automatic evaluation of machine translation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.450532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9063e03-66d5-41b9-ad77-dd3141d73aa4 · outbound

This paper cites Psutil documentation,.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Psutil documentation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:04.433482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1d001116-0ec3-48da-8bf3-bffbe54140fc · outbound

This paper cites Code Llama: Open Foundation Models for Code.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Code Llama: Open Foundation Models for Code

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.901157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b518aa8-a025-4c4a-b756-9773e5c06fa5 · outbound

This paper cites CodeScore: Evaluating Code Generation by Learning Code Execution.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation CodeScore: Evaluating Code Generation by Learning Code Execution

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.727165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 896fd5a9-ef6e-48b7-97b4-07bbfd15a1c2 · outbound

This paper cites MapCoder: Multi-Agent Code Generation for Competitive Problem Solving.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation MapCoder: Multi-Agent Code Generation for Competitive Problem Solving

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.711983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 36295a4c-eb88-4646-acc3-09da600168c9 · inbound

AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-16T05:55:59.157136Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:41.158417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 276f0281-1890-415e-83b3-1c31a9ecbbc0 · inbound

MemoCoder: Automated Function Synthesis using LLM-Supported Agents cites this paper.

MemoCoder: Automated Function Synthesis using LLM-Supported Agents CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T18:13:23.185027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-07-20T02:19:13.933109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5d9d72d8-cc00-4398-ae77-7a5afe79577d · inbound

Toward Executable Repository-Level Code Generation via Environment Alignment cites this paper.

Toward Executable Repository-Level Code Generation via Environment Alignment CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-20T02:19:13.933109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8bfbb6c-6070-49b0-9804-732c14b49dfa · inbound

ARIADNE: Agentic Reward-Informed Adaptive Decision Exploration via Blackboard-Driven MCTS for Competitive Program Generation cites this paper.

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

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-20T02:19:13.933109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88482fad-bb8e-418e-b787-46389ee49e5c · inbound

PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation cites this paper.

PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-20T02:19:13.933109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2787ce55-4139-4398-a688-7dbb2c42bcca · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation

Reference 168

Resolution: verified exact; arxiv_id, observed 2026-07-20T02:19:13.933109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7af89d50-cee2-4568-b48d-a500e6097c84 · inbound

Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-07-20T02:19:13.933109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce1a8e4f-3bb0-44cd-8edc-0185aa9f3326 · inbound

FASE: Fast Adaptive Semantic Entropy for Code Quality cites this paper.

FASE: Fast Adaptive Semantic Entropy for Code Quality CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-20T02:19:13.933109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f66795b9-3dc0-4aaf-893a-167bb19b5d12 · inbound

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning cites this paper.

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-20T02:19:13.933109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3f123e03-ca28-4d79-9d17-ef0635238b59 · inbound

Cross-Model LLM Code Review: Should you use Claude to review Codex or vice versa? cites this paper.

Cross-Model LLM Code Review: Should you use Claude to review Codex or vice versa? CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T09:36:28.229589Z

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Unavailable: canonical work link unavailable.