Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:18:35.704016Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.05063.
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 2026-08-15T23:18:35.704016Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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
25 of 25 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation deacab77-8d21-4d2d-8de8-97ac932730e8 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Program Synthesis with Large Language Models
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46580f22-0eac-43e2-8f2b-6f3677b6dc70 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts i am borrowing ya mixing?
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation deddd272-a4f5-4c47-9b5c-c9ef2d0d3901 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Phog: Probabilistic model for code generation
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 21852ec5-62ee-47d4-be96-db1984db72a0 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Classification of code-mixed text using capsule networks
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 579c3317-9f18-4cb3-93c0-c6d139d82f01 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Evaluating Large Language Models Trained on Code
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6b2fd87-52be-4d7b-b620-7955a6c31056 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb97ed91-16b4-4328-917c-c0c5e2f4bf58 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Mipe: A metric independent pipeline for effective code-mixed nlg evaluation
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bd49260b-b5db-40a1-8692-120a94d61b24 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7945a1a2-e56a-4b00-9335-94f4fe603128 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Multilingual Controlled Generation And Gold-Standard-Agnostic Evaluation of Code-Mixed Sentences
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a3f0f0e-6c1a-4809-a439-81d1af668cda · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Measuring coding competence with apps
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8b755cbe-4d94-49fe-9a83-c0bbfeee2452 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db7399f3-104d-4068-b8df-8fec8ea16e85 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Qwen2.5-Coder Technical Report
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfc7534e-3e48-4727-a268-0b587693ed24 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Xcodeeval: An execution-based large scale multilingual multitask benchmark for code understanding, generation, translation and retrieval
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d1ba9b2e-80e2-46d4-b681-1eac09b371eb · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Starcoder: May the source be with you! Transactions on Machine Learning Research, 2023
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e0f9c429-54c4-43cc-ab5c-cb50e0ccb30e · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Competition-Level Code Generation with AlphaCode
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee3af78b-dafd-4990-86a1-f1c754a9734c · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Social Motivations for Codeswitching: Evidence from Africa
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 719e9503-0e78-4627-a6de-d9aa743dbc84 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts L 3 C ube- H ing C orpus and H ing BERT : A code mixed H indi- E nglish dataset and BERT language models
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9c098994-e277-4348-8978-083009bc0613 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Bleu: a method for automatic evaluation of machine translation
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1276fdf1-b787-4fa1-80ef-33f553aa67f1 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Sentiment analysis of code-mixed text: A comprehensive review
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ce573e0f-2027-44c2-92f7-7d0548af6017 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Code Llama: Open Foundation Models for Code
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b766b0f7-d1bb-47a9-85f5-462ab6d0a138 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Learning to predict code-switching points
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8aa3407d-a41b-4cf8-80a8-59a816ac0b4d · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Feature-rich part-of-speech tagging with a cyclic dependency network
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5514d3b7-6fd8-47e3-b988-45232dec1f54 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Adapting multilingual models for code-mixed translation
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 76344f3a-9d8a-47b9-aa9e-9f7c320ea426 · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts A syntactic neural model for general-purpose code generation
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 27270050-9858-4485-9aa9-24bd1e8d33fc · outbound
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts Bigcodebench: Evaluating language models on tool-augmented code generation
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
No inbound Pith citation observations are available.