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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 73 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 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 73 of 73 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:44:25.377646Z

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:e400366046a198638315c9061344dd2865642c923ffe0aef2787cca8d9f0614c

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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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T18:00:53.389420Z digest=sha256:a5e80e9c2a7d6e906cbffd71883deab47687a0d634116e17a61aa84ccaa6f97e

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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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:2693f8d87d1e39d0a96ae7a43b165a26a9acbe8e6caf8d1b6fbff360a0ac4d24

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T05:12:22.013365Z digest=sha256:29a424b22f923293db04a7db41165b31fee828411147c8a1f3a088b3142e0413

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T22:14:23.865122Z digest=sha256:4317bfd1dbf348a3f60e399cb773a73fb42379703a294afbb580240dd8de6d1e

Observation 52d39c03-cec0-48ac-b34b-674153f0cfb0 · inbound

ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models cites this paper.

ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models Magicoder: Empowering Code Generation with OSS-Instruct

Reference 42

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no resolver link, observed 2026-08-11T05:44:25.377646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:44:25.377646Z digest=sha256:bb8308fca0f05754eecb5db0ccb791fcdd0c2001519a0c915516193ba811107a

Observation e4dd8f72-1dba-4f57-b57c-56a9e550ef6a · inbound

ADC: Enhancing Function Calling Via Adversarial Datasets and Code Line-Level Feedback cites this paper.

ADC: Enhancing Function Calling Via Adversarial Datasets and Code Line-Level Feedback Magicoder: Empowering Code Generation with OSS-Instruct

Reference 6

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no resolver link, observed 2026-08-11T05:16:04.943611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:16:04.943611Z digest=sha256:8c12cd76fd3523aaeac41a92c99d929f3b0ad1a13ab219ef4279f119da8da2d7

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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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=sha256:2db668fc67efea096167810dd12d254dc1ba4fd096a19ed66b56b039084bd6a8

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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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:a267c2f187f63f8e6133044c989d8da6958e87508ea0ca38712c720c415aa6e9

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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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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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T01:42:54.279353Z digest=sha256:80b5d23eb4f0971ff56f4b8982945aadcff2cce8cfba8b64dd70980626885b9b

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

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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

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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

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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

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

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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

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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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-18T14:19:09.535272Z digest=sha256:b867282aa28fde27b320669556f9d58efc080e3dfab5bf5816eb1bccfa61ae38

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T05:59:00.400429Z digest=sha256:74dfda2fe1baec1b78115829dd90d6375219b1a72ed015ee17c913d690fac29f

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-16T20:24:40.939455Z digest=sha256:3f2f6c08431da50bf5a65977a08879b3148ccc071b59087e25c715e351beaf49

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T14:03:48.795572Z digest=sha256:3fd90b04c64f7a02fa85681c278cd129280fb7904ebad6186905e7aaa50fa416

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T18:15:58.196935Z digest=sha256:f3d43b68a1be25079c471149d147519d269cd3a0786d9215b75f0dafb62f67ac

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:55:43.987116Z digest=sha256:7646b6323bc91ba988eca38200641a64f7558d979c33d8ab17afc870b5ff7a31

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T02:35:55.075730Z digest=sha256:cd105ca24b36ab59c276a31f71fa737e8382a42a31d139082a54dad46eaadd39

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T02:44:49.361522Z digest=sha256:64d8c7232db91f718cd03ad30e21c2d0dddebfad905714733c447b1a1bd96303

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T18:42:00.422168Z digest=sha256:b3d329b4d87b60b0e683979abe07b4ae2accf53034bcf2f28f5b5c7f13c356e2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T01:12:01.178112Z digest=sha256:3dad7f0b82ee65f746cfef67bf7001ba4b73f13d3ac64c09e1200d835dbf7c8b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T12:00:49.127471Z digest=sha256:1c53419c5ce61fcb2ce643f0023d8ff2a88e93bbefb1df596fb36e8a65304a11

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T04:15:22.283354Z digest=sha256:0905e65c39022d5af6759f48fabedbbe5d232b90039a9987bd26608c13d71831

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T20:40:47.471970Z digest=sha256:371c2f8e5e43cb69b4bd5f4fb04847e557b2b4bb97b719739242a16e5e3e8576

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T18:10:25.752841Z digest=sha256:cdffa9599b495eda2723776a6ee61db92892814e046790f26f8f6e2e7dd602f6

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T21:41:40.916840Z digest=sha256:78063c4bc9b7b6bcf7179ce6f231420a153422d7096549d92b0c05a6f6042a26

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T15:32:05.976335Z digest=sha256:dde7e19b4c47ed1505ce23881921f496393327e45d9bd0c263c4d0402900cbef

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T23:07:08.124993Z digest=sha256:dddcc55c8986a1f390d62e6e73b14d97d7a1c735bf61d0e66a6941b616fe97c8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T16:49:50.653594Z digest=sha256:f53215008eeb7d58ed19a935637aaae5e3cb60eb2f3d877d49af74ec493c7d26

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T10:05:10.309553Z digest=sha256:d9af91be6774082db3c7d85529f159b2a55bb3063f9d5d2ec0a8e0f2b0c2363d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T21:41:02.035059Z digest=sha256:844ef4f413c5846c27380433504844fbf41e5fa9e4301c8fac6e78978687a760

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T20:22:27.538227Z digest=sha256:21f28b4469b8e6558d63ec9f4278e0d00189b6556fe85957d65d25e3c4ddff82

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T18:00:58.780753Z digest=sha256:1730230a9f8dab97f728e2133bda0bae8bc0db61a4af6ec66baf32e7178c49b6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T10:52:00.147391Z digest=sha256:b28307319b0e8b0d9d2b272a705434334f52cb554f22aec089f3ddedaa670da3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T16:48:12.177090Z digest=sha256:4ed17f2581dd05d1c9652fb0441e0ee45956a39ff4ab0557eded08efd3835706

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T00:47:54.236329Z digest=sha256:be379a13ac16340a69bada4966466b9695ed9079a08f0eca688aaeaacd05744f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T08:30:37.016856Z digest=sha256:43839988704513efa4e0d982170c4feefc2566a117a656b33b792860e8d6de79

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.

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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

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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

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

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