Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:16:26.871924Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2412.08109.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:16:26.871924Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-08T17:37:51.790000Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T17:26:04.420073Z
64 of 64 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar An empirical study of the code generation of safety-critical software using llms,
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Reference 4
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Reference 6
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Reference 7
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Reference 10
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar AixBench: A Code Generation Benchmark Dataset
Reference 11
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Observation a89d9f81-c2f0-4e14-b360-235bac7266de · outbound
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Ds-1000: A natural and reliable benchmark for data science code generation,
Reference 12
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Observation 7e437915-dffe-4a7b-a528-69232c651a0a · outbound
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Codereval: A benchmark of pragmatic code generation with generative pre-trained models,
Reference 13
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Observation 1406854a-b6e9-49a1-b5e7-966131e5827c · outbound
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Reference 14
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Observation 8a65bea4-ef79-4372-92d9-1a522de98711 · outbound
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Reference 15
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Observation 92e580f4-0cbf-46de-b1a7-2d718e20e7ab · outbound
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
Reference 16
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Observation f16b750a-7c2f-4647-8e5e-6a41ed7180a8 · outbound
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Automatic code generation from design patterns,
Reference 18
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Intellicode compose: Code generation using transformer,
Reference 19
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Reference 20
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Reference 21
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Reference 22
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Reference 23
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Reference 24
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Observation ba660742-af01-47a9-a391-46d6ffcc8b43 · outbound
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar A Survey on Evaluation of Large Language Models
Reference 25
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback
Reference 26
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Observation 064e15d7-b85a-4624-936b-1102132c0200 · outbound
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Reference 27
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Observation 8e37c08b-9173-4b9a-8a12-fd6115272824 · outbound
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Large language models meet nl2code: A survey,
Reference 28
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Observation 45181627-80b1-4f6d-b4d3-e5edf8314ef2 · outbound
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Reference 29
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Observation 546d27aa-c4ee-4075-b59e-aa5aef4b4e73 · outbound
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Reference 30
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Observation 6b62b131-ba6d-4653-86df-a52adfe3e41c · outbound
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar At Which Training Stage Does Code Data Help LLMs Reasoning?
Reference 31
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Cct5: A code- change-oriented pre-trained model,
Reference 32
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Codep: grammatical seq2seq model for general-purpose code generation,
Reference 33
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar InCoder: A Generative Model for Code Infilling and Synthesis
Reference 34
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Observation e9b58f9b-527e-4aea-b136-2028b04ef52d · outbound
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar StarCoder: may the source be with you!
Reference 35
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar (2023) instruct-starcoder
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Chatgpt,
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Karecoder: A new knowledge-enriched code generation system,
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Reference 40
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Reference 41
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Reference 42
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Competition- level code generation with alphacode,
Reference 43
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Reference 44
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Beyond Code Generation: Assessing Code LLM Maturity with Postconditions
Reference 45
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Ex- ploring and evaluating hallucinations in llm-powered code generation,
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Reference 49
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Acecoder: An effective prompting technique specialized in code generation,
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Leetcode,
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Code obfuscation against static and dynamic reverse engineering,
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Reference 53
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Code obfuscation literature survey,
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Reference 58
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Reference 61
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar gpt-3.5-turbo,
Reference 62
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Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar gpt-4.0-turbo,
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Reference 151
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