Paper Citation Record · LEDGER

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2311.10372.

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

pith.paper-citation-record.v1
2311.10372 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:08:19.589240Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

20
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c6918eb6-5bf9-43b2-9a33-d66f8a1321c0 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:58:51.367897Z

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 583e48e4-013e-4b21-9bdc-2addb7b93787 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:21:39.798831Z

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 21879bb5-1e9b-4382-9114-a3b7d8c6de5e · inbound

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? cites this paper.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T18:43:19.253516Z

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 176878c0-ec39-4202-9d50-e06475d2dd1a · inbound

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation cites this paper.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T20:00:37.337879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be544c8-cc74-4c26-b689-055b2e2791fc · inbound

Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy cites this paper.

Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:32:45.085413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65b89af9-58cf-4f7a-a1fa-b0e888eec1e9 · inbound

Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs cites this paper.

Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T13:10:14.537702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 199088e7-3c64-4955-a6ac-eba4521f959b · inbound

CodeV: Issue Resolving with Visual Data cites this paper.

CodeV: Issue Resolving with Visual Data A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T05:39:29.978377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb4c03f4-8390-4465-8ad2-d5a6095bd67d · inbound

Large Language Models for Code Generation: The Practitioners Perspective cites this paper.

Large Language Models for Code Generation: The Practitioners Perspective A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T05:17:24.424275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffcc50a6-1da7-4085-ab9b-7176051bb317 · inbound

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement cites this paper.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T23:17:48.608997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc95018a-3071-48db-bcd2-ed942009eb60 · inbound

Who's the Leader? Analyzing Novice Workflows in LLM-Assisted Debugging of Machine Learning Code cites this paper.

Who's the Leader? Analyzing Novice Workflows in LLM-Assisted Debugging of Machine Learning Code A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:19.589240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7469eab-ea21-4a10-9f36-544021202550 · inbound

ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming cites this paper.

ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 2023

Resolution: malformed identifier; no resolver link, observed 2026-08-07T15:02:48.170023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2461a6aa-6f3f-4aad-bde2-41d8cacd2150 · inbound

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building cites this paper.

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:10.670308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b23e4a68-4c6b-4d67-93cf-3c1e4b6a136b · inbound

SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation Models cites this paper.

SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation Models A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:27:21.592008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db72a9d-bd24-4d35-8fa9-a0faeb46f18c · inbound

JsDeObsBench: Measuring and Benchmarking LLMs for JavaScript Deobfuscation cites this paper.

JsDeObsBench: Measuring and Benchmarking LLMs for JavaScript Deobfuscation A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:48.243202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd897d8-73bb-429f-ab20-c048a8d577ec · inbound

An AST-guided LLM Approach for SVRF Code Synthesis cites this paper.

An AST-guided LLM Approach for SVRF Code Synthesis A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:38.802024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 484241d3-9e22-418d-9187-0a3cd6c63540 · inbound

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models cites this paper.

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:51.793823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e258ebe-dbd4-4a23-9162-ebb1facd774f · inbound

ReCatcher: Towards LLMs Regression Testing for Code Generation cites this paper.

ReCatcher: Towards LLMs Regression Testing for Code Generation A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T17:57:05.997430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 433338bd-f1e3-4065-9154-eca55f4038b6 · inbound

Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection cites this paper.

Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T17:56:39.158661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6835c7-3303-4b0a-859d-e05e37add1d3 · inbound

Optimizing Token Choice for Code Watermarking: An RL Approach cites this paper.

Optimizing Token Choice for Code Watermarking: An RL Approach A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T19:46:12.352279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab8c0954-3dec-41f5-9ce5-df54038fc232 · inbound

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity cites this paper.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:57.904741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9692053e-9b35-49a4-9f95-df9613160f9b · inbound

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion cites this paper.

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T04:48:40.018554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 779fa3ab-8170-41c6-aafb-59ead279e3ae · inbound

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair cites this paper.

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T20:17:27.097382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd07179-6e59-4b2f-814f-77740a938ec0 · inbound

Compiling Code LLMs into Lightweight Executables cites this paper.

Compiling Code LLMs into Lightweight Executables A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:28:26.199234Z

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 2207aa11-ad95-44ed-ba4f-40b220422a9a · inbound

Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition cites this paper.

Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:33:10.152765Z

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 e1d2b2f4-3a0a-4f7e-8e06-a229c1830880 · inbound

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation cites this paper.

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:35:59.832296Z

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 04d3fafd-a942-48d8-a9a9-a4082933ab89 · inbound

Leveraging Mathematical Reasoning of LLMs for Efficient GPU Thread Mapping cites this paper.

Leveraging Mathematical Reasoning of LLMs for Efficient GPU Thread Mapping A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:58.301376Z

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 c2898f2c-3f77-494d-81ed-e80edfb2fcf0 · inbound

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review cites this paper.

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:56:33.803554Z

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 e2241d6a-4db0-4322-bae4-21e7eb7cdd8a · inbound

AI-Generated Smells: An Analysis of Code and Architecture in LLM and Agent-Driven Development cites this paper.

AI-Generated Smells: An Analysis of Code and Architecture in LLM and Agent-Driven Development A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:50:39.886991Z

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 d77afdfd-1334-4a8a-9d02-53b0f3f74d2e · inbound

Reversa: A Reverse Documentation Engineering Framework for Converting Legacy Software into Operational Specifications for AI Agents cites this paper.

Reversa: A Reverse Documentation Engineering Framework for Converting Legacy Software into Operational Specifications for AI Agents A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T09:03:09.773723Z

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 bd747422-143c-4e3f-946a-7a8bf8cd8174 · inbound

Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development cites this paper.

Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:04:46.375420Z

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 16e5b4e7-2264-4dad-a9d2-28ecac59cdee · inbound

A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions cites this paper.

A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:53:58.477007Z

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 236ed032-871e-4016-9b14-f3ee2f4bbecb · inbound

DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers cites this paper.

DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T11:13:21.003179Z

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 2e5d75cd-1663-4880-b070-1057539ecdb6 · inbound

PassNet: Scaling Large Language Models for Graph Compiler Pass Generation cites this paper.

PassNet: Scaling Large Language Models for Graph Compiler Pass Generation A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:53:13.233925Z

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 990d21c5-f1b0-4b37-af6c-98b5cf2b7757 · inbound

Qiskit Code Migration with LLMs cites this paper.

Qiskit Code Migration with LLMs A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-06-26T16:29:35.643648Z

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 3e269805-5883-4fc1-b26d-39e6ea4922d8 · inbound

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code cites this paper.

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:52:55.664336Z

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 20106659-481f-487f-90cf-9f6fd8e23a8c · inbound

Plainbook: Data Science, in Plain Language cites this paper.

Plainbook: Data Science, in Plain Language A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:17:52.195751Z

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 0e0c0f02-67d5-4670-bfa9-b181f08b84ac · inbound

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents cites this paper.

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T14:11:54.805534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e0b6e0-d592-4371-9c03-400dc36c76cd · inbound

CLEAR: Causal Context-Based Agentic Reasoning for Vulnerability Detection cites this paper.

CLEAR: Causal Context-Based Agentic Reasoning for Vulnerability Detection A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T01:06:29.039986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e4d6d56-3575-42d9-9155-787fc0da646d · inbound

Don't Let Me Ask for It: LLMs Show Deficiencies in Active Multi-Turn Information Acquisition for Abductive Inference cites this paper.

Don't Let Me Ask for It: LLMs Show Deficiencies in Active Multi-Turn Information Acquisition for Abductive Inference A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 2023

Resolution: malformed identifier; no resolver link, observed 2026-08-15T14:55:58.627143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7230266-38bd-496d-aedf-3777a7b95d67 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 149

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:39.975070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.