Paper Citation Record · LEDGER

Large Language Models for Multilingual Code Intelligence: A Survey

As of 7 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2604.25960.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.25960 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T02:44:49.361522Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact19
verified fuzzy14
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0f91c79-71fc-4f54-93d1-0b8a536bd263 · outbound

This paper cites When large language models meet formal theorem proving: A survey.

Large Language Models for Multilingual Code Intelligence: A Survey When large language models meet formal theorem proving: A survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.648149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c039c619-dc81-4f36-a23f-7c109942da35 · outbound

This paper cites A survey on static code analysis with large language models.

Large Language Models for Multilingual Code Intelligence: A Survey A survey on static code analysis with large language models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.656466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5dcfffd2-6158-40b5-a7d1-ec16a111e9be · outbound

This paper cites Big code models leaderboard, 2026.https://huggingface.co/ spaces/bigcode/bigcode-models-leaderboard.

Large Language Models for Multilingual Code Intelligence: A Survey Big code models leaderboard, 2026.https://huggingface.co/ spaces/bigcode/bigcode-models-leaderboard

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.638164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea517cf8-397f-495d-821e-d1036eb68874 · outbound

This paper cites HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization.

Large Language Models for Multilingual Code Intelligence: A Survey HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.060150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae9cce44-a3e9-4848-97b8-c79c7484c790 · outbound

This paper cites McEval: Massively Multilingual Code Evaluation.

Large Language Models for Multilingual Code Intelligence: A Survey McEval: Massively Multilingual Code Evaluation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.070688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89fb6b9c-17c3-4104-91f5-6b306f19e749 · outbound

This paper cites XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence.

Large Language Models for Multilingual Code Intelligence: A Survey XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:26:15.077459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17a34162-2360-4fd6-b7c5-f19d7fd01602 · outbound

This paper cites Repotransbench: A real-world benchmark for repository-level code translation.

Large Language Models for Multilingual Code Intelligence: A Survey Repotransbench: A real-world benchmark for repository-level code translation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.093680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8767f4a3-181c-4920-b290-c66e128edf75 · outbound

This paper cites Smartc2rust: Itera- tive, feedback-driven c-to-rust translation via large language models for safety and equivalence.

Large Language Models for Multilingual Code Intelligence: A Survey Smartc2rust: Itera- tive, feedback-driven c-to-rust translation via large language models for safety and equivalence

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.638905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11c908df-b0f5-47d9-9921-6659a8966058 · outbound

This paper cites arXiv preprint arXiv:2509.12973 (2025).

Large Language Models for Multilingual Code Intelligence: A Survey arXiv preprint arXiv:2509.12973 (2025)

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.081992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e9aa8b4-1d12-4f11-9d3e-b0e9f67c6b31 · outbound

This paper cites Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval.

Large Language Models for Multilingual Code Intelligence: A Survey Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.107383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48451790-562e-413b-a283-ae2828a5194b · outbound

This paper cites mhumaneval- a multilingual benchmark to evaluate large language models for code generation.

Large Language Models for Multilingual Code Intelligence: A Survey mhumaneval- a multilingual benchmark to evaluate large language models for code generation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.626507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1751fd50-0821-4326-8a84-890a28b6c4c5 · outbound

This paper cites arXiv preprint arXiv:2507.08627 (2025).

Large Language Models for Multilingual Code Intelligence: A Survey arXiv preprint arXiv:2507.08627 (2025)

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:14.965420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0922ff4-da12-4f70-9885-067dec4a8daa · outbound

This paper cites Llm- assisted translation of legacy fortran codes to c++: A cross-platform study.

Large Language Models for Multilingual Code Intelligence: A Survey Llm- assisted translation of legacy fortran codes to c++: A cross-platform study

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.653260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 014a9858-4091-4d8f-abd0-72a850803259 · outbound

This paper cites InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation.

Large Language Models for Multilingual Code Intelligence: A Survey InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.019110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 584063af-0c25-4651-8bc9-6789166e7e0e · outbound

This paper cites A Comparative Study of Code Generation using ChatGPT 3.5 across 10 Programming Languages.

Large Language Models for Multilingual Code Intelligence: A Survey A Comparative Study of Code Generation using ChatGPT 3.5 across 10 Programming Languages

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.026207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e2da02b-c104-4aa1-9aad-491959d25797 · outbound

This paper cites Enhancing Code Generation for Low-Resource Languages: No Silver Bullet.

Large Language Models for Multilingual Code Intelligence: A Survey Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.033121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24186ddc-2d32-445a-9a2d-14ef5fcbc339 · outbound

This paper cites IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators.

Large Language Models for Multilingual Code Intelligence: A Survey IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.000240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 279baa09-9786-4e4f-8d5b-d2ea04aa4edf · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

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 2026-08-07T06:34:17.273281+00:00.

Observation 8c9173bc-b6e6-4324-bddf-ee4cf553629c · outbound

This paper cites Octopack: Instruction tuning code large language models.

Large Language Models for Multilingual Code Intelligence: A Survey Octopack: Instruction tuning code large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.649522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e1a51c08-ebdd-44f7-9ac6-326077d4cd3f · outbound

This paper cites Beyond lan- guage barriers: Multi-agent coordination for multi-language code generation.

Large Language Models for Multilingual Code Intelligence: A Survey Beyond lan- guage barriers: Multi-agent coordination for multi-language code generation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:14.969744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf05605b-0ff2-466e-a2e2-5d50e5a05712 · outbound

This paper cites Unipar: A unified llm-based framework for parallel and accelerated code translation in hpc.

Large Language Models for Multilingual Code Intelligence: A Survey Unipar: A unified llm-based framework for parallel and accelerated code translation in hpc

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.656702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11cf5053-905b-42fa-8ab8-0f5b85dfa6e4 · outbound

This paper cites MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair.

Large Language Models for Multilingual Code Intelligence: A Survey MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-01T02:02:18.720820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 778ab8b4-6274-40ea-a84d-5f2732d5c057 · outbound

This paper cites Evoc2rust: A skeleton-guided framework for project-level c-to-rust translation.

Large Language Models for Multilingual Code Intelligence: A Survey Evoc2rust: A skeleton-guided framework for project-level c-to-rust translation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:14.956986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e28652d7-7076-4ffd-b98b-b20d7ff25644 · outbound

This paper cites Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches.

Large Language Models for Multilingual Code Intelligence: A Survey Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:03:39.143684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e89544b8-668b-4d64-931f-003a8f5a2d31 · outbound

This paper cites Arcs: Agentic retrieval-augmented code synthesis with iterative refinement.

Large Language Models for Multilingual Code Intelligence: A Survey Arcs: Agentic retrieval-augmented code synthesis with iterative refinement

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.043233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b64db14c-9f22-4452-9812-75c1bf9d29d5 · outbound

This paper cites Enhancing code translation in language models with few- shot learning via retrieval-augmented generation.

Large Language Models for Multilingual Code Intelligence: A Survey Enhancing code translation in language models with few- shot learning via retrieval-augmented generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.644962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2fdc780-84a9-497c-9301-64be2a45338b · outbound

This paper cites Integrating ensemble learning and large language models for efficient formal verification of ip-based aerospace systems.

Large Language Models for Multilingual Code Intelligence: A Survey Integrating ensemble learning and large language models for efficient formal verification of ip-based aerospace systems

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.630243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce93d525-6aef-4806-a148-a06058a0dee0 · outbound

This paper cites Automated ltl specification generation from industrial aerospace requirements.

Large Language Models for Multilingual Code Intelligence: A Survey Automated ltl specification generation from industrial aerospace requirements

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.653761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd75c9ce-9a3e-4f8b-a6e7-a3895b3536cb · outbound

This paper cites Bridging natural language and formal specification - automated translation of software requirements to ltl via hierarchical semantics decomposition using llms.

Large Language Models for Multilingual Code Intelligence: A Survey Bridging natural language and formal specification - automated translation of software requirements to ltl via hierarchical semantics decomposition using llms

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.632776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c1ed128-c8a7-4990-b911-fb798c9186c5 · outbound

This paper cites Xcodeeval: An execution-based large scale multilingual multitask benchmark for code understanding, generation, translation and retrieval.

Large Language Models for Multilingual Code Intelligence: A Survey Xcodeeval: An execution-based large scale multilingual multitask benchmark for code understanding, generation, translation and retrieval

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.650930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76889ee7-0141-497f-ba0f-67f3003e73ab · outbound

This paper cites CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation.

Large Language Models for Multilingual Code Intelligence: A Survey CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.048010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be809746-30e5-4966-b1d7-f0214d7e157c · outbound

This paper cites On the evaluation of neural code translation: Taxonomy and benchmark.

Large Language Models for Multilingual Code Intelligence: A Survey On the evaluation of neural code translation: Taxonomy and benchmark

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:48:24.635974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0186800-8cf8-4d9a-b9f3-d0a02695bca5 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Large Language Models for Multilingual Code Intelligence: A Survey CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16c03a61-6776-4474-aa88-64d4adddb17f · outbound

This paper cites CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.

Large Language Models for Multilingual Code Intelligence: A Survey CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:26:14.996029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd0ea7c5-8b13-46e8-990a-882ad7d3cfdf · outbound

This paper cites Program Synthesis with Large Language Models.

Large Language Models for Multilingual Code Intelligence: A Survey Program Synthesis with Large Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-11T22:26:14.991597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.