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Paper Citation Record · LEDGER

Magicoder: Empowering Code Generation with OSS-Instruct

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 71 inbound Pith citation observations for arXiv:2312.02120.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.02120 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 71 of 71 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:11:19.549581Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

25
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 58b7d1c2-45ca-4c77-8c94-bc45f69cf407 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Magicoder: Empowering Code Generation with OSS-Instruct

Reference 215

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metadata mismatch
arxiv_id, observed 2026-05-10T17:34:42.828843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:f917a9278b05e7d95d147dfa691bb899f81fecfb6474b4191c711f5f3b69bd4b

Observation 7bbd94f4-3a49-4438-a5d0-71321471c014 · inbound

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Magicoder: Empowering Code Generation with OSS-Instruct

Reference 41

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verified exact
arxiv_id, observed 2026-05-13T18:00:53.576919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T18:00:53.389420Z digest=sha256:325ee9bc74074ac7c03f76df8dbff34f9d1223d24464483f4dbe21d0a0d21d88

Observation 66f4f48a-f4be-4fac-9ded-d85238bbec76 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 285

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verified exact
arxiv_id, observed 2026-05-13T20:18:06.807006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:cff265bfc639e226b1cc20086b63af2c1d115910663837b5e6515d29f07a2159

Observation 559a2b90-6922-432e-a2f8-55fac5895c89 · inbound

Agentless: Demystifying LLM-based Software Engineering Agents cites this paper.

Agentless: Demystifying LLM-based Software Engineering Agents Magicoder: Empowering Code Generation with OSS-Instruct

Reference 93

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verified exact
arxiv_id, observed 2026-05-12T05:12:22.323902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T05:12:22.013365Z digest=sha256:7f052816461096014e742de74121b41a00d5fec3109281119cc853563411d551

Observation b4fc0978-7df8-4dbb-bcee-a3d89e33f9d5 · inbound

Towards Agentic Runtime Healing cites this paper.

Towards Agentic Runtime Healing Magicoder: Empowering Code Generation with OSS-Instruct

Reference 58

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verified exact
arxiv_id, observed 2026-05-23T22:15:49.995087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T22:14:23.865122Z digest=sha256:d3f00fd40e5c49a412b1c45ff512caa5e488a04c7856fa5bf983b4f3fbab9cb2

Observation 259d780a-9f67-4e86-ab6f-6e80dda20a37 · inbound

Xmodel-2 Technical Report cites this paper.

Xmodel-2 Technical Report Magicoder: Empowering Code Generation with OSS-Instruct

Reference 16

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no resolver link, observed 2026-08-11T00:11:19.549581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:11:19.549581Z digest=sha256:6790f94b39d4168663cba1b58f98fb6156b665bd1500930c3dafd08121c12119

Observation 9b8e95f0-dc27-4842-a942-34793ff56b70 · inbound

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation cites this paper.

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 48

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no resolver link, observed 2026-08-10T22:32:04.971300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:04.971300Z digest=sha256:11f50d0bfc2597fce650456ef7aa82661f8bc57eb9871d685767032e42377311

Observation 51333635-4e59-4e87-bb89-f40c68258573 · inbound

MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning cites this paper.

MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning Magicoder: Empowering Code Generation with OSS-Instruct

Reference 21

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no resolver link, observed 2026-08-10T22:23:27.847241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:23:27.847241Z digest=sha256:0d8b00db8b7ab0c1186c58ec6484b4df6451eb0dd7622e39a3140f6547b689b9

Observation f29f48cc-8839-4ebb-a6d6-0d394d84053c · inbound

Soup to go: mitigating forgetting during continual learning with model averaging cites this paper.

Soup to go: mitigating forgetting during continual learning with model averaging Magicoder: Empowering Code Generation with OSS-Instruct

Reference 17

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no resolver link, observed 2026-08-10T21:22:06.080734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:22:06.080734Z digest=sha256:6c02cc75d382bfe6601a375ebd2178fc444951919f597ad492eae0bd899cee6a

Observation 24022bc5-ac18-483d-8fad-54ec032903d9 · inbound

Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection cites this paper.

Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection Magicoder: Empowering Code Generation with OSS-Instruct

Reference 46

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no resolver link, observed 2026-08-10T20:46:00.370272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:46:00.370272Z digest=sha256:884fbb0b0c6d55e35b494bace45003499937b4b4470cc9326a848a92f4b67acc

Observation 9b30f0c5-7728-48ff-b250-5e420ec1b05f · inbound

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations cites this paper.

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations Magicoder: Empowering Code Generation with OSS-Instruct

Reference 18

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no resolver link, observed 2026-08-10T16:41:30.952954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:41:30.952954Z digest=sha256:c9107f4406675f3e54e34cc60469ab4f1bccdb6433f62bfec2752cc4eef1890a

Observation aea95380-a397-4324-80ee-a96737a7139b · inbound

PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback cites this paper.

PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback Magicoder: Empowering Code Generation with OSS-Instruct

Reference 23

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no resolver link, observed 2026-08-09T17:04:03.696982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:04:03.696982Z digest=sha256:eb1f6928fd777b415fd69d084367281b494597c2f776ccc26888dc7462855e1f

Observation 3f99a981-3e91-45b9-82a0-8dbf99a69fb7 · inbound

COFFE: A Code Efficiency Benchmark for Code Generation cites this paper.

COFFE: A Code Efficiency Benchmark for Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 89

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no resolver link, observed 2026-08-09T11:01:28.080365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:01:28.080365Z digest=sha256:f42ff3f40d66b696990eb2be12c06175fde6dcb51e7ad84e1acfcda9d97bc7a6

Observation 97e3385a-7082-4138-b4bf-76847e199393 · inbound

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories cites this paper.

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories Magicoder: Empowering Code Generation with OSS-Instruct

Reference 44

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unresolved
no resolver link, observed 2026-08-08T16:46:04.023494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:46:04.023494Z digest=sha256:6d76ff6408ba4e2ef8c3eb43f4bd4b7bb989c7115176bec5edb29ed2cedb06de

Observation e8fcdf34-cf46-4945-8284-cc9f29276d26 · inbound

Multi-Agent Collaboration for Multilingual Code Instruction Tuning cites this paper.

Multi-Agent Collaboration for Multilingual Code Instruction Tuning Magicoder: Empowering Code Generation with OSS-Instruct

Reference 28

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unresolved
no resolver link, observed 2026-08-08T12:37:25.796593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:37:25.796593Z digest=sha256:2a6d96cb12ddd3fb5e14ea2466cb16f83de3ba8abe99d87430517015f41967c1

Observation bc12aeb4-fedd-4b80-b275-1983bd7dd403 · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models Magicoder: Empowering Code Generation with OSS-Instruct

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:42:54.785109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:42:54.279353Z digest=sha256:67e09f15308f1290ac6f435beaa57b29f760aaf6a0accedbebba279f48124879

Observation 32b6f81e-418c-486d-a2d8-c46eb5aa5d07 · inbound

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects Magicoder: Empowering Code Generation with OSS-Instruct

Reference 18

Resolution
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no resolver link, observed 2026-08-07T14:55:59.219164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:55:59.219164Z digest=sha256:18206d37dfb4127e4b69ab5e3083c9dce5a069e737d34e875a992b4d5e6a4666

Observation f4f0e6c6-28f6-4fdd-951a-3ef3c40320c6 · inbound

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models cites this paper.

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models Magicoder: Empowering Code Generation with OSS-Instruct

Reference 54

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no resolver link, observed 2026-08-07T14:31:32.600105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:31:32.600105Z digest=sha256:6610f2eabc356fea457a53f72f877b6478d08f612bd03bb404a8bb7550fbd7ff

Observation 6c0be928-e59f-4dc0-b3e3-bf012d463dd8 · inbound

Infinite-Instruct: Synthesizing Scaling Code instruction Data with Bidirectional Synthesis and Static Verification cites this paper.

Infinite-Instruct: Synthesizing Scaling Code instruction Data with Bidirectional Synthesis and Static Verification Magicoder: Empowering Code Generation with OSS-Instruct

Reference 15

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no resolver link, observed 2026-08-07T12:56:26.378716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:56:26.378716Z digest=sha256:cefc375528224ef7027c9409f08d5125469b41c88b3efd00b65030f674006f20

Observation 1ebe612e-d9ef-4c7a-bde0-019b99454067 · inbound

EXP-Bench: Can AI Conduct AI Research Experiments? cites this paper.

EXP-Bench: Can AI Conduct AI Research Experiments? Magicoder: Empowering Code Generation with OSS-Instruct

Reference 90

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no resolver link, observed 2026-08-07T12:20:47.709271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:20:47.709271Z digest=sha256:f6a97c08ed2002e50b06e4609a51ea8a06926022a1a653b281f3888ac1793b7c

Observation a85d5120-3184-467e-969b-ee640688587f · inbound

Seed-Coder: Let the Code Model Curate Data for Itself cites this paper.

Seed-Coder: Let the Code Model Curate Data for Itself Magicoder: Empowering Code Generation with OSS-Instruct

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.899524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.899524Z digest=sha256:593f91fe1cc52c784eb1b777296299bb5d134bd0335ff2f2c2d2a57684644c6a

Observation 7d553c97-edc5-4c31-be44-01aa18b4d3da · inbound

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation cites this paper.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 32

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no resolver link, observed 2026-08-07T10:19:01.376438Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:01.376438Z digest=sha256:3a43dc1eaeec3c2789df04d953981735721aeb6c4c9e650b59e7acb837b08b0e

Observation a5549e19-d759-4218-8369-73cc2989c550 · inbound

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner cites this paper.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Magicoder: Empowering Code Generation with OSS-Instruct

Reference 46

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no resolver link, observed 2026-08-07T05:01:08.664935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.664935Z digest=sha256:f3af6e14d205cdb8a87779e502f50304ed81150b105f7afe7d0916b47d59c62c

Observation ca44739c-0b3f-4e91-aadd-61e8e4bc0971 · inbound

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback cites this paper.

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback Magicoder: Empowering Code Generation with OSS-Instruct

Reference 44

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no resolver link, observed 2026-08-06T21:16:42.654739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:42.654739Z digest=sha256:a62eaa1b03c33e95df857617d769a540cf791f5ab90584d9debca6faaaa3ab43

Observation 6c89ebca-b3df-410c-8ab9-27b208d4c24e · inbound

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? cites this paper.

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? Magicoder: Empowering Code Generation with OSS-Instruct

Reference 43

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no resolver link, observed 2026-08-06T19:53:38.934962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:53:38.934962Z digest=sha256:1a35e337be37d06864c7bf6cd195b063e266aed913a07fb2fd2479c9b5af8faa

Observation 7d8bcce8-50e6-486f-ab2f-b4aa2151954c · inbound

Multilingual Multimodal Software Developer for Code Generation cites this paper.

Multilingual Multimodal Software Developer for Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 80

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no resolver link, observed 2026-08-06T18:19:58.333689Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.333689Z digest=sha256:14da188b5a1e3fa32d81e82ad4bbd6570788222b0163f2354d58bb7ed5c13cd9

Observation cece94a5-82ba-4719-b580-25b15f3b141d · inbound

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity cites this paper.

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity Magicoder: Empowering Code Generation with OSS-Instruct

Reference 50

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no resolver link, observed 2026-08-06T18:20:00.429721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:20:00.429721Z digest=sha256:e32be65f284044023bfb3f45e86651041948a731edcbe709c10f1d7fe1303a60

Observation 3365b16e-9959-48c7-9392-84d1fcc80f00 · inbound

Turning the Tide: Repository-based Code Reflection cites this paper.

Turning the Tide: Repository-based Code Reflection Magicoder: Empowering Code Generation with OSS-Instruct

Reference 40

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no resolver link, observed 2026-08-06T17:51:15.008947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:51:15.008947Z digest=sha256:43959f8455798fbe578251e29f02672bc835618e3e93977e335fe38514b7dc33

Observation 12c34bac-d73d-488e-8a6e-6abf33225dc4 · inbound

Modeling Code: Is Text All You Need? cites this paper.

Modeling Code: Is Text All You Need? Magicoder: Empowering Code Generation with OSS-Instruct

Reference 27

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unresolved
no resolver link, observed 2026-08-06T17:11:49.967637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:49.967637Z digest=sha256:a3103b4ac4ec900e115d6ef8d156f6a5712badc4d6b195f127b030419092b077

Observation f0e5e6e4-7f7c-4651-a4f7-9da486276f81 · inbound

Position: Intelligent Coding Systems Should Write Programs with Justifications cites this paper.

Position: Intelligent Coding Systems Should Write Programs with Justifications Magicoder: Empowering Code Generation with OSS-Instruct

Reference 2023

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unresolved
no resolver link, observed 2026-08-05T23:02:03.456536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:02:03.456536Z digest=sha256:b7f1197f1d7ee731a8383c70b14661df0d4f80e3477a59baa299006f634e4863

Observation 1b363cbf-77cf-4047-985d-32cec6091d2d · inbound

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts cites this paper.

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts Magicoder: Empowering Code Generation with OSS-Instruct

Reference 43

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no resolver link, observed 2026-08-05T21:55:12.283379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:55:12.283379Z digest=sha256:44056710ececb84e7f34fa4aeb3ba12a3961c57e8dd1c0f71ad82bc8a19c31bc

Observation ca34421e-6542-49e5-9a8e-4644f7166bc4 · inbound

rStar2-Agent: Agentic Reasoning Technical Report cites this paper.

rStar2-Agent: Agentic Reasoning Technical Report Magicoder: Empowering Code Generation with OSS-Instruct

Reference 27

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no resolver link, observed 2026-08-05T14:57:39.492222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:57:39.492222Z digest=sha256:2d93da48c69075516cfd7f1df6bcb01ba298e8f3347440d73077f25d91b4c118

Observation 246297a2-7e35-4de2-a06d-0ab572570876 · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Magicoder: Empowering Code Generation with OSS-Instruct

Reference 80

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no resolver link, observed 2026-08-05T10:34:46.784281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:34:46.784281Z digest=sha256:3a5af9f50dfe9c6f3e46be42e8fcf42ddc671954f895026e6e6b571d7f599c60

Observation c021a131-d513-4fd5-b316-b562e9a6cffa · inbound

Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-Experts cites this paper.

Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-Experts Magicoder: Empowering Code Generation with OSS-Instruct

Reference 38

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verified exact
arxiv_id, observed 2026-05-18T14:21:27.524417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T14:19:09.535272Z digest=sha256:701504a9d343d54e889496afaf068d1a5196729187705c9bc9fc4234d6172d03

Observation b9a4caea-fd14-4bd0-a41f-6d49f64a7348 · inbound

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models cites this paper.

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models Magicoder: Empowering Code Generation with OSS-Instruct

Reference 45

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verified exact
arxiv_id, observed 2026-05-18T06:00:57.299650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T05:59:00.400429Z digest=sha256:09e14bfc3a075b53453675c07b3d734744828ffe37d6b7b7bc498d2580ff73ae

Observation 56c261dd-90f2-4da5-a404-ed920c5fc652 · inbound

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios cites this paper.

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios Magicoder: Empowering Code Generation with OSS-Instruct

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:28:24.546062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T20:24:40.939455Z digest=sha256:4ae6fe66aa756b1496180ae82e3f9f6cbac287388debe1bbd34407ce8e0f7b92

Observation 57147d06-1cc7-488c-ac18-f6488fefcfb7 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Magicoder: Empowering Code Generation with OSS-Instruct

Reference 233

Resolution
unresolved
no resolver link, observed 2026-08-03T08:15:34.752885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:34.752885Z digest=sha256:08ec509f7e61655cb3ba252febadb8f395b0f8e622a4d144b2aecf79615d3b39

Observation 9ec141f1-f794-4e8a-bcb2-a956986eb563 · inbound

Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning cites this paper.

Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning Magicoder: Empowering Code Generation with OSS-Instruct

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:04:11.904706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T14:03:48.795572Z digest=sha256:96dc0eda9e9945915fb944c746d5b101b88bdb2b98bd05be1775ae40b5ef3122

Observation 7bfe09e7-9ee2-495b-973d-84efaf6f1202 · inbound

Sensitivity-Positional Co-Localization in GQA Transformers cites this paper.

Sensitivity-Positional Co-Localization in GQA Transformers Magicoder: Empowering Code Generation with OSS-Instruct

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:55.432023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:15:58.196935Z digest=sha256:16aaa52e46f1e614b97862392a70310fc35701d0bdff9d23f1036e6ae4541adb

Observation 60e0a840-3971-4631-a7d8-6819fc80303a · inbound

Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition cites this paper.

Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition Magicoder: Empowering Code Generation with OSS-Instruct

Reference 67

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:10:09.446612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T04:55:43.987116Z digest=sha256:8370df0f09dd85110df87b71487c0976a9d46b95b70bfb36f16bd95d16338fa2

Observation 2d605f3c-ed35-49da-a207-16ded717b251 · inbound

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing cites this paper.

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing Magicoder: Empowering Code Generation with OSS-Instruct

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:56:05.664622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T02:35:55.075730Z digest=sha256:726940e57f73becc2884cedd3eea69d248844f62dc20ae8a62dc78250db72659

Observation 279baa09-9786-4e4f-8d5b-d2ea04aa4edf · inbound

Large Language Models for Multilingual Code Intelligence: A Survey cites this paper.

Large Language Models for Multilingual Code Intelligence: A Survey Magicoder: Empowering Code Generation with OSS-Instruct

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:26:15.008936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T02:44:49.361522Z digest=sha256:dbe6c3e89460dd3f01077ce4d6a1812cf175bef80e4156fa25ed99f3ef4e701e

Observation 2b51c66c-0bf3-4137-a2d8-5139621f8c46 · inbound

Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation cites this paper.

Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:15:38.582399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T18:42:00.422168Z digest=sha256:e3f412230dd2a33b1e9bc00c3d5fe1c10da6ffa4665de4d714195693114646e1

Observation a9223482-e9e0-4c14-b628-a309e587ce81 · inbound

Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation cites this paper.

Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:40:56.609283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:12:01.178112Z digest=sha256:7db314a2a30d80dc3bc47697e8833fe080dacc606a3433cf61fa9b7b6c107ef0

Observation 8347914b-4c3a-4e8e-aefe-e7d261dbc576 · inbound

Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less cites this paper.

Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less Magicoder: Empowering Code Generation with OSS-Instruct

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:08.655977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T12:00:49.127471Z digest=sha256:321a0c16eeca352038c5368ec01c6f644019c2b619a8ab7d8e0eed2a48df6173

Observation d1e88fed-b213-46f0-951d-42b7ee828c8f · inbound

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models cites this paper.

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models Magicoder: Empowering Code Generation with OSS-Instruct

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:17:13.821614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T04:15:22.283354Z digest=sha256:c352447c2614cd20242d94058c87a00ace125b4c817e44ce4495da6609d0920c

Observation bfd8644e-7864-498e-9092-482f474d2af5 · inbound

Bayesian Model Merging cites this paper.

Bayesian Model Merging Magicoder: Empowering Code Generation with OSS-Instruct

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:57.838599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T20:40:47.471970Z digest=sha256:5074f8dcf8e8b2afa42514d48ea9366decc337cf118fdf1f42827c6ecfe03eac

Observation 90710ead-52b3-4506-a99e-57c24849afd3 · inbound

Asking Back: Interaction-Layer Antidistillation Watermarks cites this paper.

Asking Back: Interaction-Layer Antidistillation Watermarks Magicoder: Empowering Code Generation with OSS-Instruct

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:13:37.527748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T18:10:25.752841Z digest=sha256:86f5b9063687ebf855e70ce665e02e1f3d1f02be93bae4a85b61b86afd829ad0

Observation f181abec-8a51-45b1-8307-72431456d24f · inbound

Lossless Anti-Distillation Sampling cites this paper.

Lossless Anti-Distillation Sampling Magicoder: Empowering Code Generation with OSS-Instruct

Reference 130

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:43:45.505074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T21:41:40.916840Z digest=sha256:f8b2c5b0d9dba4c6486891c38e373a2fae3181ac9b27067af600a28954177d9f

Observation ad013ce0-4c07-4694-a885-092a6603c8e2 · inbound

TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs cites this paper.

TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs Magicoder: Empowering Code Generation with OSS-Instruct

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:34:47.914486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T15:32:05.976335Z digest=sha256:fcd7c94cf651573fea4b8f6faed148bc60892c9178a70407f7c00a9d51fb4bc4

Observation 1bedfb07-8edb-4552-9d56-e0c29a224089 · inbound

Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation cites this paper.

Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T23:14:00.940438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T23:07:08.124993Z digest=sha256:01a9ae2eea52a0332097d843b4a2674f215601fc6198282561e6c843ee124306

Observation ba97e43c-0e98-4fdf-a198-a24c972371db · inbound

BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution cites this paper.

BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution Magicoder: Empowering Code Generation with OSS-Instruct

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:36:14.654675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T16:49:50.653594Z digest=sha256:29f4d04d53a4eadd3b1f65e2b53dea8900fbb96911db34305f51950b8105739c

Observation ca95dcc0-a0f5-4c95-94b3-8d8e8264aefd · inbound

RogueMerge: Robust and Unified Attacks against LLM Model Merging cites this paper.

RogueMerge: Robust and Unified Attacks against LLM Model Merging Magicoder: Empowering Code Generation with OSS-Instruct

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:26:28.956081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T10:05:10.309553Z digest=sha256:a65d457675f8882ed4adc0241774740d5a6f66531d67bcf44d9e33463ff7f702

Observation 76b9bcb4-c780-4019-a3ca-043f38bffe46 · inbound

SkelDPO: A Skeleton-Guided Direct Preference Optimization Framework for Efficient Code Generation cites this paper.

SkelDPO: A Skeleton-Guided Direct Preference Optimization Framework for Efficient Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:07:17.682646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T21:41:02.035059Z digest=sha256:baf85a0cc9f1a4ec41739787ec26894ae7369378e44e804302c6a3d543f40d5a

Observation ee399c36-97d2-408b-8884-fe82cc94622b · inbound

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards cites this paper.

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards Magicoder: Empowering Code Generation with OSS-Instruct

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:27:22.709853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T20:22:27.538227Z digest=sha256:6cc2a7da403dda5869bf6c291da5b3de9ed427f2fc02f6ef249da0d7715904af

Observation d653fd53-fd4b-4df6-9d42-7bc4bb64afaf · inbound

Lost in the Flow with Code Talkers: Unveiling the Instruction-Tuning Tax of Large Language Models in Code Tasks cites this paper.

Lost in the Flow with Code Talkers: Unveiling the Instruction-Tuning Tax of Large Language Models in Code Tasks Magicoder: Empowering Code Generation with OSS-Instruct

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-06-27T18:01:07.307872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T18:00:58.780753Z digest=sha256:a93c43f2c1851a41e2b79f1cd8cab6ef894958dc0c0a47e6f6152ffc06fbfb0c

Observation 1d54d183-f5ee-48fc-84c2-dbeed049aacc · inbound

CODEBLOCK: Learning to Supervise Code at the Right Granularity cites this paper.

CODEBLOCK: Learning to Supervise Code at the Right Granularity Magicoder: Empowering Code Generation with OSS-Instruct

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T08:17:45.514411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T10:52:00.147391Z digest=sha256:264510d47440dcafbde99a4ee74ab1d7b1fe62bfce902def9bafd796a90f1be6

Observation e5671b2b-4efa-48ca-8780-6d834e9c6301 · inbound

Repository-Level Solidity Code Generation with Large Language Models: From Prompting to Fine-Tuning cites this paper.

Repository-Level Solidity Code Generation with Large Language Models: From Prompting to Fine-Tuning Magicoder: Empowering Code Generation with OSS-Instruct

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-06-26T16:49:35.642476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T16:48:12.177090Z digest=sha256:931c2499beb60d7aeaf0d914de0d6600cf9c1705f68ac782153715ead48327d5

Observation 7f8da1c6-b6a0-4e51-ad99-51c9e945d833 · inbound

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code cites this paper.

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code Magicoder: Empowering Code Generation with OSS-Instruct

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:52:55.675916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T00:47:54.236329Z digest=sha256:ee15ef1db1ee8ba3e27d706ca15116143cd0d318060a1b083e3c333c36e9f58d

Observation dc45accd-9a78-4962-b7ea-329f066c3b81 · inbound

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation cites this paper.

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:34:26.738220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T08:30:37.016856Z digest=sha256:92967c32a5df2d3a6ab045c6597af4fdabbb1ee8537ae4a4688bf8670e1cc2cd

Observation 7d6ddac5-274c-4565-a6fa-2e97a16ff114 · inbound

LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure cites this paper.

LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure Magicoder: Empowering Code Generation with OSS-Instruct

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-11T14:23:31.109787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T14:23:31.109787Z digest=sha256:5341e31c325a36091a2272f0644f1293faa5b7de07558e8646c3d1afe2f1d598

Observation 5a604c43-fab8-4055-bc57-229852a92f21 · inbound

LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure cites this paper.

LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure Magicoder: Empowering Code Generation with OSS-Instruct

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T08:38:37.623072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:38:37.623072Z digest=sha256:03952cf122edb31d495636f403e9f4086e2e8458b726b0ae481ddaba34199e7e

Observation ff15ddd1-6727-4afc-9872-ad964480fa97 · inbound

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs cites this paper.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Magicoder: Empowering Code Generation with OSS-Instruct

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T06:50:46.625517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:50:46.625517Z digest=sha256:a85d085e4b9ecce54696467b9ad147b88aff83b9540630dcdc74df3a4800ffc7

Observation 6f644539-ff60-42de-9e55-47cedd739415 · inbound

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models cites this paper.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Magicoder: Empowering Code Generation with OSS-Instruct

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T06:34:00.515627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:34:00.515627Z digest=sha256:f34adca0f6fe20464dd629e88925836176621a599dfff13e222b8797f2216dd9

Observation 6957992f-c429-475c-85ae-a659f306bc80 · inbound

Quantize with Confidence? An Empirical Study of Quantization for Code Generation cites this paper.

Quantize with Confidence? An Empirical Study of Quantization for Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T03:32:51.355885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:32:51.355885Z digest=sha256:0c217e4e2c56ca784dfa1d1fba4080354efae749f43dd2e546ef313488fbf8af

Observation 5a5da00d-680d-4697-8bfe-2a014fa57e3f · inbound

SciCodePile: A 128GB Corpus and Executable Benchmark for Challenging Scientific Code Generation cites this paper.

SciCodePile: A 128GB Corpus and Executable Benchmark for Challenging Scientific Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T13:28:34.548627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:28:34.548627Z digest=sha256:450e6c61b5e8c8cde9614758456f71201b68a18f034c0861ad5ccebcdeb713af

Observation 1f6355e1-848b-4dce-a5b0-c027e96bb23a · inbound

GLAN-QnA-KR: A Seedless Taxonomy-Driven Korean Instruction Corpus cites this paper.

GLAN-QnA-KR: A Seedless Taxonomy-Driven Korean Instruction Corpus Magicoder: Empowering Code Generation with OSS-Instruct

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T14:15:05.645599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:15:05.645599Z digest=sha256:37fc76872e0413422f13abd8c1b5929b82c64a6c4966642f43f32c2161e055a3

Observation 86ba38dd-bbb2-4294-8de2-77d6698ea076 · inbound

MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation cites this paper.

MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-01T06:18:16.242288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:18:16.242288Z digest=sha256:cc5516f9d41a4492fd19cc1f36ad3e2da6040143ea44694e70f6b2314624d33f

Observation 32bfd783-1301-4b4f-9eee-22a65c346839 · inbound

LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation cites this paper.

LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T00:14:39.998379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:14:39.998379Z digest=sha256:1ff886ce722df2a3283b00833ad548fa9e4aa1dffda2f20f0912d6669a830ce3

Observation 48621133-3fb5-47fc-ab5e-bcb6ef570dbe · inbound

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes Magicoder: Empowering Code Generation with OSS-Instruct

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-04T07:49:39.929873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:49:39.929873Z digest=sha256:a7c9160f470dff84c5c0df28cfbfb818d13212b21456789d7341c868485967d1

Observation f1334fb2-d4f0-4936-af29-defbe383b0db · inbound

Route-Align-Verify for Functional Correctness in Code Generation cites this paper.

Route-Align-Verify for Functional Correctness in Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T20:43:44.950872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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