Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths
As of 22 July 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2510.01379.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
74 of 74 outbound references displayed
- verified exact30
- verified fuzzy28
- unresolved0
- parse uncertain0
- malformed identifier2
- metadata mismatch14
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 812d2f76-fafd-48bb-9823-d90b0220abd2 · outbound
This paper cites The Llama 3 Herd of Models.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths The Llama 3 Herd of Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:22:33.348450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 7a7a3331-29e0-4b25-8763-efa777cbbc02 · outbound
This paper cites In: 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC), pp.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths In: 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC), pp
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.097953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 51101d1a-23e8-4cc2-a7cd-1736425f9a22 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.467693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation d28e45ae-13a1-4e23-b110-6497c549b935 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.453799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 55945dba-6ffa-40c6-ae8f-9917b7e177f1 · outbound
This paper cites Stark Broadening and White Dwarfs.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Stark Broadening and White Dwarfs
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:22:33.055043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 7d1882d7-10b6-4c1a-bea3-6b2978cbf530 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 6
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.026086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 65240e0a-d98c-4999-a1d8-5a9ac43aa5f5 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.462570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 3abf7505-60ca-498e-9738-6e094d4130c8 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.451107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation b50f4394-dcfa-45a9-a535-106231a11f26 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.458915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 033829b3-b39d-4c32-9102-9bf377dd79bb · outbound
This paper cites 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.081343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 4add1e47-0925-4700-8832-457ceeb5f275 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 11
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.088651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 86c588e7-89a0-4d8e-9981-cc2352164887 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Evaluating Large Language Models Trained on Code
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:22:33.302396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 599c18c6-de74-42e1-93cf-6f25fd56218a · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.431603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 1f2b2cbb-bff5-49cf-9921-ac02152dc6ce · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.428280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation ad7070e7-1366-45da-a29b-b9c840821909 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.319710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 64c15afc-2bb4-498e-84f2-9259577f3b39 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.040596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 598372f8-28a0-4457-aeb1-4ec77cdacd43 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 17
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.101674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 428bd7a5-fa2d-49c9-8c4f-229af08a8f52 · outbound
This paper cites Evaluating Large Language Models in Class-Level Code Generation.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Evaluating Large Language Models in Class-Level Code Generation
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.050608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 2d8adcb2-369a-49a2-a56c-ec4598803a5f · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.121883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 9a4842da-4517-40a1-afac-95a2ec040a62 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.411041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation d0f110a4-9710-49a1-94e5-c8fde2bf6b7f · outbound
This paper cites In: Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 34, pp 27,865–27,876,https://proceedings.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths In: Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 34, pp 27,865–27,876,https://proceedings
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.142795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 45d935c6-8bae-4c08-b49a-7d24dcda0cf5 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.419938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 3825705e-56d6-46ca-a698-a7135dd3764d · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.437651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 59124c77-9da5-49e1-a449-96b15b22531d · outbound
This paper cites Nguyen and Raymond Choo.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Nguyen and Raymond Choo
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.045670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation efbe13ca-0db4-45c7-b2b8-0ad8caa91248 · outbound
This paper cites 2019 , isbn =.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths 2019 , isbn =
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.107664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 1344edaf-c944-4cc8-9b3f-0d8513d97f27 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.390217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation c03246c1-ca12-464d-8b8f-7bfd301e8f12 · outbound
This paper cites InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Houda Bouamor, Juan Pino, and Kalika Bali (Eds.).
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Houda Bouamor, Juan Pino, and Kalika Bali (Eds.)
Reference 27
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.130109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 7a61253a-748b-4fa6-94d9-b181e76c7263 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.126807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 4b6211ab-74e5-447b-be4d-03c237b43ee3 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 8d746d1e-79d8-4fd0-9e42-b90a127c6ef4 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation b366e15f-c8b2-4426-8fc5-6f06bbe903b5 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation e78d6e93-1c9b-4937-8232-d25f49f59529 · outbound
This paper cites Vulnerabilities in AI code generators: Exploring targeted data poisoning attacks,.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Vulnerabilities in AI code generators: Exploring targeted data poisoning attacks,
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.075966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 83fff45d-6607-4771-83f4-d1c7cba2e880 · outbound
This paper cites 2010.The Linux Programming Interface: A Linux and UNIX System Programming Handbook(1st ed.).
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths 2010.The Linux Programming Interface: A Linux and UNIX System Programming Handbook(1st ed.)
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.425640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation c61a97c1-d962-4bcb-87dd-8f4c4b5a4643 · outbound
This paper cites Codexity: Secure AI-assisted Code Generation.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Codexity: Secure AI-assisted Code Generation
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.327186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 57fa7980-5d5c-49a4-8d5c-4d2809eb8806 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.035650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 889ec89a-013b-496c-a76d-1ab0afef5a38 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.440303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation cc71c16f-63c7-4b7b-bf29-afaa1d7dc86e · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.396392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 57a07c8b-8a1a-43c7-bda5-6cf81d0269f3 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 39
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-18T10:22:33.335830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 10199272-62c4-4c40-95f4-5e46c6eec067 · outbound
This paper cites Exploring and evaluating hallucinations in llm-powered code generation.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Exploring and evaluating hallucinations in llm-powered code generation
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.293436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation ee3ece07-2932-4329-ab0f-63510b7b90a6 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.422765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 3f878f2d-2cd2-4f11-8b02-8f71f195e44a · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 42
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.084717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation f04a2d19-77a3-43d4-80d2-0391e3531041 · outbound
This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:22:33.344212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 1f8b20f7-430c-4f0f-9abf-3c20977bc2c7 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 44
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.066599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 9fe93d96-858a-48f3-be67-04c68f85274a · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.445737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 5764dba4-84cc-43da-9e52-353c219049b0 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.417050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation f14374cb-7b66-4124-8796-575817bc4054 · outbound
This paper cites OctoPack: Instruction Tuning Code Large Language Models.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths OctoPack: Instruction Tuning Code Large Language Models
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.311036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 09613174-3374-403c-909b-f95653a2dcb1 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.402287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 010979e6-d027-48f7-93c8-9c19558b8a41 · outbound
This paper cites Reality bites: Assessing the realism of driving scenarios with large language models.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Reality bites: Assessing the realism of driving scenarios with large language models
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.030826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 58379ce8-ee37-4026-a2b0-9acd512f468d · outbound
This paper cites GPT-4o System Card.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths GPT-4o System Card
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:22:33.280805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation e7eb6e35-4d79-4356-a97e-1f2bb9355bff · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.408369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation ccedf0ca-5beb-4d0b-b033-a68fac1d3ac7 · outbound
This paper cites Lyu, Caiming Xiong, Silvio Savarese, and Doyen Sahoo.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Lyu, Caiming Xiong, Silvio Savarese, and Doyen Sahoo
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.315679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 092cbb43-d85d-4875-b537-725409c5ced8 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.405336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 3f61dc23-2063-46c8-8d16-a499a3e67153 · outbound
This paper cites Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved).
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved)
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.306633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 031eb600-579e-4d1d-90f4-f35b01c28dab · outbound
This paper cites EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.340137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 7daad21e-3ccb-4aaf-830c-ef6a0ccce3cd · outbound
This paper cites Qwen2.5 Technical Report.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Qwen2.5 Technical Report
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:22:33.331433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation f4ed209b-9252-4922-b28f-4a6f04d0461d · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.442933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation c1470642-beb7-47c5-8e11-95e84ea2a833 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.465349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 32378cd7-7b91-4632-9d8e-e944bb544346 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 59
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.116259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 8f698756-f28a-4a89-8246-2b91bdc3bfec · outbound
This paper cites Mousavi Engineering: New Ideas and Emerging Results (ICSE-NIER).
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Mousavi Engineering: New Ideas and Emerging Results (ICSE-NIER)
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.022461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 5367f7d9-ed5b-4ca0-8676-db7007886d84 · outbound
This paper cites From code to correctness: Closing the last mile of code generation with hierarchical debugging.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths From code to correctness: Closing the last mile of code generation with hierarchical debugging
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.284703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 4b32090e-2d38-475e-82df-98661a6f032b · outbound
This paper cites Gemma 2: Improving Open Language Models at a Practical Size.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Gemma 2: Improving Open Language Models at a Practical Size
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:22:33.352813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation c2e007c1-fe90-4cfa-93bf-5c98aa364e64 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.448382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 190cac21-cd99-4063-a99f-7ead16b9c677 · outbound
This paper cites In: 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC), pp.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths In: 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC), pp
Reference 64
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-18T10:22:33.288899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 0521f4dd-df19-438c-bcc6-5b2f95c00649 · outbound
This paper cites 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation
Reference 65
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.014373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation febc6e04-489a-432b-846f-f242875d1637 · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.399280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation f14c7c3d-a075-46d4-9271-2c6a07836a85 · outbound
This paper cites Demystifying llm-based software engineering agents.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Demystifying llm-based software engineering agents
Reference 67
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.071104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 477d0844-47a5-426b-b416-27b06eee984e · outbound
This paper cites LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.298510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 74e91185-17d4-44e1-ad0f-e9660a61c3a8 · outbound
This paper cites 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation
Reference 69
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.134927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation b6be62d1-733d-450f-8b9c-db9ae66c0ede · outbound
This paper cites 1995.Multiple attribute decision making: an introduction.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths 1995.Multiple attribute decision making: an introduction
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T10:22:33.414022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 23ece3bb-c4fb-40a4-ba56-80220d7b5d0e · outbound
This paper cites Get Me in the Groove.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Get Me in the Groove
Reference 71
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.138016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 770dbdeb-0446-48de-826a-704986f28dd6 · outbound
This paper cites Fine-tuning Large Language Models for Domain-specific Machine Translation.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Fine-tuning Large Language Models for Domain-specific Machine Translation
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.357525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation be7f5fff-bbeb-4579-bcc1-570094133ad5 · outbound
This paper cites CodeGeeX: A pre-trained model for code generation with multilingual benchmarking on HumanEval-X.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths CodeGeeX: A pre-trained model for code generation with multilingual benchmarking on HumanEval-X
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.112498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation f67e9bfe-0c7e-488b-9129-6952544ce0d2 · outbound
This paper cites , Wang, Z.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths , Wang, Z
Reference 74
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.092377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 2004b11e-3223-4da7-bca9-ca900e4085dc · outbound
This paper cites an unresolved cited work.
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Unresolved cited work
Reference 75
- Resolution
- verified exact
- doi, observed 2026-05-18T10:22:33.004387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Pith citing papers
No inbound Pith citation observations are available.