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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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.660360Z digest=sha256:c4a1fff4fd6d70b0801dd44143fca9c50f2b3e5d22de91c9c4b1c377a69eddf8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.665940Z digest=sha256:3eb9c100444f0343854da07ba3a88be766f4459adc2f3f0aa2b6002edf1fd5f5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.676074Z digest=sha256:2f4089e1da88ac6412bdbc33a441f2ef2aaed09c3b6f2fe88bb6372151e359ba

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.681458Z digest=sha256:8cee3f9bbb704da3a37ce0e4cd83104649c796db563dadc86aee25285743ccf6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.686567Z digest=sha256:a146a756a59c6aca48ae0a32d2b833995e42530eb11a06ca6ad865f32fab03a1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.697130Z digest=sha256:66f1e12a086abaa0204d50e624fdead1374a38e6606f0bcd857c50927d110c34

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.

source=pdf_text observed=2026-08-10T20:40:03.702556Z digest=sha256:6404b257d7042015d8122737ff0dc465b3f9fc4079bd02fb45e617373657d09d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.707348Z digest=sha256:376652773e5c09159b1ce6cc037b9ad09637dccd682478cfd85b258bd5041787

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.722415Z digest=sha256:871ad40046a8bde81f207b67ff865f40ecf61cdee22544aad1e7a7cf2dd1f286

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.

source=pdf_text observed=2026-08-10T20:40:03.732370Z digest=sha256:86346bb28f82ca28bf18059af875b2145265c0beff7bc5038d6531a851d76992

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.736893Z digest=sha256:c066a56ea168bd9277a3550bb282bfb45b76202b28e6d475c02e86f9e3d2ec10

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.

source=pdf_text observed=2026-08-10T20:40:03.741459Z digest=sha256:a5561844767c210d3a47faa34c3e13ca31100a3856b8ae16627b992cea8cb42f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.745866Z digest=sha256:bbc0b70f239c894293a848abb73a15c7ee29ba16789ee7a1db8103e4f9d1682e

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.

source=pdf_text observed=2026-08-10T20:40:03.750525Z digest=sha256:64f33b09b0eeee02508b2c896c25c04a976b9fb3774300fae2683aae26fd93cc

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.

source=pdf_text observed=2026-08-10T20:40:03.755182Z digest=sha256:68f9f481252a7ddd6ec35dbcc35af1d844125ccfad1c80cfa7c78629c4e7e7aa

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.

source=pdf_text observed=2026-08-10T20:40:03.760616Z digest=sha256:53a3a67c94d2c7e2973ab0ed6249b4f6df38ed458e6d272ee6af421c8f1b453a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.765782Z digest=sha256:e69ac30ee6662f8316b7e7601b17d6f6872897406f8b63e9d2cab5e3441acbb5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.770275Z digest=sha256:d5cce52f786380a70a0bb1c9dbe4b62042bf0342dcc7a02c9accb2556549ce6a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.774538Z digest=sha256:a71b959fb0631d41d20a6ef2c95b889277ed43077e0aafdb59e3c2c901f2c62b

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.

source=pdf_text observed=2026-08-10T20:40:03.779303Z digest=sha256:80360ee3f72ea19be4870c669245e76246dbc6f3695364a09e805086e4750a8c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.784227Z digest=sha256:6828ac5f6fc23baf01dc1debc63c06d0ffea352f6b161fba82dcaf17d011e352

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.788468Z digest=sha256:a5d5b645aff9f9895228b558ab454d064bee8172dff15a1fb1097794c64d79e3

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.

source=pdf_text observed=2026-08-10T20:40:03.792886Z digest=sha256:87ceccd21da985a2c480d7ebbb5d520919091f2c137944e2d8bee4a45257b5c5

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.

source=pdf_text observed=2026-08-10T20:40:03.797991Z digest=sha256:645f4f7024cc22cd7e46c894b212f6c21e73ffdb1ea45754c3681bf400fe5bef

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.

source=pdf_text observed=2026-08-10T20:40:03.802280Z digest=sha256:5d1d53a6fdcd3d496341087306c894a935349926ae8acd5aa7bd126624661399

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.

source=pdf_text observed=2026-08-10T20:40:03.806964Z digest=sha256:0f6f3c607ee36c523c48d6c3f83ef633f9bb16a35c6e966fbeb0c8e63979bc57

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.

source=pdf_text observed=2026-08-10T20:40:03.811797Z digest=sha256:ea95e18a2d8dc8541c44faf20ef3a82659f7c5745ab9f7e6cfbc696d6ac576fc

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.

source=pdf_text observed=2026-08-10T20:40:03.817318Z digest=sha256:3ea0ba13372d0a707b26654f1c296cff75ea5e11d3d2aa65b01c84344ba5b8bf

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.

source=pdf_text observed=2026-08-10T20:40:03.821825Z digest=sha256:5b2b3ce5f2d5c9aff5a4f0e879501d44313ae1f348da6be01496de37d6501bf0

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.

source=pdf_text observed=2026-08-10T20:40:03.826503Z digest=sha256:a76534901bf0aaf2d7c91912f75920ef29891614c4014fcb73a361f396fcf69d

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.

source=pdf_text observed=2026-08-10T20:40:03.830935Z digest=sha256:f9362f83d49a81cc3cb5b31d90a88d2960f6ba9d4a22f6a2b035089bab23d74d

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.

source=pdf_text observed=2026-08-10T20:40:03.836108Z digest=sha256:03f65cbc4d283237b2d407e90733d3fefaf31dfa968fc25efcfe47a443dd5a30

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.840685Z digest=sha256:a1e100aa128d921ac1cba25cd4aca7ed55417b7f5b48aacb1115fd89cd97881b

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.

source=pdf_text observed=2026-08-10T20:40:03.845219Z digest=sha256:416ca441068d0bab0a2cdde564119628b75a60e4fd6869696aafd6e9a1626c70

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.

source=pdf_text observed=2026-08-10T20:40:03.850902Z digest=sha256:7770d0c0bbd5c5e05668ce7ccd57f9a4836300a172b48fa320432eac2f2f80f3

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T20:40:03.856811Z digest=sha256:425a75fd48182f71a3e7658c7c83269fe00b13222030c365abca00fb5d4efcef

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:03.861829Z digest=sha256:07c41981a8eefff6d148d9cd524a5c8fbb127e07812d94c4bc1b637b54467871

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:03.866719Z digest=sha256:02bb71949b5ab7a8b2945561901e5df55282d9b36f99110cb412b36e8d02ca25

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T20:40:03.871609Z digest=sha256:cee6e32072f72658f21c8ab2626a4d17c29f3b06bff8c94d9105b3546bd3b387

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.876952Z digest=sha256:9e0de501e301398123da135481e29e44ba1edb228fcd2c0dcd7dfb864c0e4146

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T20:40:03.881696Z digest=sha256:a4ef0973bad10068b96fc8aa9e0326f00c49670f6936e4292498efe86b1b1f30

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.886591Z digest=sha256:82d48401a957a9fc553753e47bd0e97ed9b2b39a084cf67f09dfd7bc6f432d77

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.891787Z digest=sha256:ac96a549043a7cced600c1d04d1f76b8cdc93b2f38a4d399758f072bdf57364f

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:40:03.896595Z digest=sha256:073635dac880b7013041013883d23f4bbddcc452fca04866e1f2efdb30ea74c8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:03.901157Z digest=sha256:036bd965f2ca7b609045603be90af63dad3ab25a49694a0d35b415509923126c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:03.727165Z digest=sha256:93ec5dec860d820bc7b519ce33c7bd2624747bf8dd770d9d30d72f1f23d3fa9c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:03.711983Z digest=sha256:d605360d276c9f68501d5babce078c45101080b09de8afae6a77587e5ae46458

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T05:55:59.157136Z digest=sha256:9e84be0592900ab99e5108dcddf56c6b5bf8186ceb7913b7b6447ee298b485d6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:41.158417Z digest=sha256:98d88b7af179cafafcb2135b01a02558587e1955847e32c1bf5121e61490e29a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:13:23.185027Z digest=sha256:941ef07fb1dc6605df8c092d0205bbbdd776f91cc86525676bf60a35da508bba

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T23:21:42.029285Z digest=sha256:cf324d5ff5aae555f866a05278bf14ac1470c77987adebb4ae4c64981db77be3

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T17:36:36.384667Z digest=sha256:2eb4a95f91200a909bb532684674a5105ba132193f86bf47be81c0a6bc5050c2

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T17:58:54.689999Z digest=sha256:078a97039eab28731e5b621712efe281b029809147ed0b298c015daaf748916a

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T22:33:12.568495Z digest=sha256:cda52d9e1459f98e88d11abbfd51aeb34c6394f7f2dba9fedd802cb152f3ecd8

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T10:54:54.558241Z digest=sha256:ab6353c6088270e72478b436cce71af6461a04acd37ba033b212a238eff225c0

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T03:06:05.168589Z digest=sha256:d463b717bd855ddb8b608be924a8ccaef6fa7c0a10938a3e9e4e2bf5d60de964

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T15:18:44.055533Z digest=sha256:64a64d9c0fcb3942d3a6ee03e477fafc2c47215a789ae3d42e296d7ce77d99fc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T16:10:14.144156Z digest=sha256:c2a0e44fe87aba0047185e5ab911429ad0a09f09052226ba4a26a79ea07a89ba

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:36:28.229589Z digest=sha256:50ff1cbf395e21c8508062f166397c2a7be47e7e988e12ada2b58efffb97be55