Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T16:06:20.777086Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 100 inbound Pith citation observations for arXiv:1909.09436.
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 2026-05-12T16:06:20.777086Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:18.282105Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
26 of 26 outbound references displayed
External citation measurements
422
pith, observed 2026-08-05T02:28:24.338817Z
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CodeSearchNet Challenge: Evaluating the State of Semantic Code Search The Adverse Effects of Code Duplication in Machine Learning Models of Code
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Reference 3
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CodeSearchNet Challenge: Evaluating the State of Semantic Code Search code2seq: Generating Sequences from Structured Representations of Code
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CodeSearchNet Challenge: Evaluating the State of Semantic Code Search A parallel corpus of Python functions and documentation strings for automated code documentation and code generation
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Reference 9
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Reference 10
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Reference 14
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Reference 16
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Reference 17
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Reference 18
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Reference 19
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CodeSearchNet Challenge: Evaluating the State of Semantic Code Search Manning, Prabhakar Raghavan, and Hinrich Schütze
Reference 20
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Reference 22
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Reference 23
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Reference 24
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Reference 26
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 39
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Observation 2c362401-3a3c-4d41-89fd-2005c6f64c85 · inbound
GraphCodeBERT: Pre-training Code Representations with Data Flow CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
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CodeBLEU: a Method for Automatic Evaluation of Code Synthesis CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 85
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Observation eb08b747-4ec5-427b-9001-37b5110b464a · inbound
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Observation 131b4939-865f-4b3e-b81c-abcd038a9229 · inbound
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Observation 25d69608-e8ce-4f50-ae92-f44946c11281 · inbound
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Reference 45
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Observation 3943fe3f-eb97-4a1d-8ed4-692d9e19ab55 · inbound
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Observation ac6dbffd-648c-4afb-a9a5-9a6d4cf580d1 · inbound
Towards General Text Embeddings with Multi-stage Contrastive Learning CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
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Observation 568c3d9d-0d7c-494b-84d0-82374d453727 · inbound
Retrieval-Augmented Generation for Large Language Models: A Survey CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
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Observation 7d8692ff-dbf8-4aed-b119-14672f898dd3 · inbound
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Reference 22
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Observation f70aa45c-8f21-404e-8fd9-823244b061a4 · inbound
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Observation 84686803-55a8-4507-bdcf-4886fadb9d27 · inbound
MVD: A Multi-Lingual Software Vulnerability Detection Framework CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
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Observation d855c302-64d9-4ef9-9edf-846367d2dbfe · inbound
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Observation 8e92ca8e-73c7-479b-b797-440e81fd50a5 · inbound
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Reference 147
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Observation b9da37dc-5029-4396-8bd5-75f1b665c038 · inbound
Less is More: Towards Green Code Large Language Models via Unified Structural Pruning CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
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Observation 8066b834-0615-45ac-b671-0dfa95a8bce0 · inbound
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Observation 391adf6e-fb81-479d-ae8d-55240e56ba7d · inbound
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Observation c4ddbccf-89c9-4067-80c8-56cabe0b1d71 · inbound
Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 27
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An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 30
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From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 19
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Observation 874131be-8b18-4953-9786-ef3147dfb170 · inbound
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CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
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Observation c892b406-42e5-427c-a679-ecf38765516f · inbound
Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
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Observation c26123df-1a84-42d3-95db-02e822694b7b · inbound
AsserT5: Test Assertion Generation Using a Fine-Tuned Code Language Model CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 2019
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Observation 87149c85-5917-4938-8692-7ca34d6f2f51 · inbound
Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 29
Source-reported events for the cited work
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Observation cc199193-66b6-482e-be04-863e10348b9d · inbound
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 19
Source-reported events for the cited work
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Observation 7f3ce7ad-ddd1-4612-9437-6c045ac0699c · inbound
SnipGen: A Mining Repository Framework for Evaluating LLMs for Code CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 40
Source-reported events for the cited work
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Observation b366d66b-5dd5-4bbd-948c-f5e6e3dc1c6c · inbound
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Reference 10
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Observation bcaf0942-ce36-47db-8fac-509df62862e6 · inbound
URECA: The Chain of Two Minimum Set Cover Problems exists behind Adaptation to Shifts in Semantic Code Search CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 19
Source-reported events for the cited work
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Observation d1d8fd07-1f5f-44e7-9cc4-cc152547b7c0 · inbound
O1 Embedder: Let Retrievers Think Before Action CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 19
Source-reported events for the cited work
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Observation d0af0e2a-b1c1-4f19-a2b1-1ee1465c1539 · inbound
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 35
Source-reported events for the cited work
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Observation c50de6ca-89ef-4ea9-ae5d-8c3094ee1c86 · inbound
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 33
Source-reported events for the cited work
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Observation bcf96b3d-9cfe-40c7-894e-0f717e4ba87a · inbound
FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 2019
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Observation 0786a368-1a34-4a48-8308-661c1ad82e6c · inbound
PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Reference 261
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02d2c2b0-525c-4149-b0cf-38bd749029c0 · inbound
Manipulating Multimodal Agents via Cross-Modal Prompt Injection CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
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