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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 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 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:02:48.170023Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:9f6933b514ccdbea47876aacf7e265d86d797f43f6f464af3b6763c6f2411335

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:8c61f3ec4633b4e30114dd423fa20b35a5cd74d1397d4cb4f8c2aae8dc580787

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:006e4c88a76354b440c0ce53b3cc22655246ed1b1bedd3c62dd2627187ad55ef

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.

source=pdf_text observed=2026-08-07T15:02:48.170023Z digest=sha256:291f011cf0a5d71bd014329fb5d25978dc79b7628ed6a4daa16bb89a4c328a9e

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.

source=pdf_text observed=2026-08-07T13:46:10.670308Z digest=sha256:24eafb4791dff352fd0bd0bf243cc0b446d8b1235138f9e95938a231662ae40e

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.

source=pdf_text observed=2026-08-07T13:27:21.592008Z digest=sha256:9e083664d18389b20de3d8293e9d5fe25db1c0eb98af40e6e862f4dab6c0ac25

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.

source=pdf_text observed=2026-08-06T22:59:48.243202Z digest=sha256:abdc03168a7078f63040c36190254bdbe76fb07683eb6b8d31358b47a0089efb

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.

source=pdf_text observed=2026-08-06T21:24:38.802024Z digest=sha256:bd8183f8d90884451a6e356b7d1be047814132591e201e9b19aff4d080df0662

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.

source=arxiv_source observed=2026-08-06T17:44:51.793823Z digest=sha256:d5d1151057dd281e62ec50eae498209ff84a3595215c824297737c8f6a6446fb

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.

source=arxiv_source observed=2026-08-05T19:46:12.352279Z digest=sha256:4f665701e6a728ec6406038e3c4cd7f292376402499430b1a5e2f1042bcf6428

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.

source=pdf_text observed=2026-08-05T14:09:57.904741Z digest=sha256:c9082cbc6b6b712dfcc807e40cffa0e35e5c51ea74a7587e547afc201e31a94e

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.

source=pdf_text observed=2026-08-05T04:48:40.018554Z digest=sha256:5f4c2a599a8e56deb541b8cc702fc2670e1aa5dc6ea099316695c0e411cbd35c

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.

source=pdf_text observed=2026-08-02T20:17:27.097382Z digest=sha256:3d7c06f69d41975f6a63431d935d2981a453ab89685f5ea82b95d1305f1ab043

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T23:26:03.943399Z digest=sha256:886cc158281844286dc9cd21545ecd02fc377a25292867283ab22124f7d9a28f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T19:31:51.501833Z digest=sha256:b2366f1b522e4e487866cbc4b691cde89d8a31e36e5c02432645c7f6fbba3434

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:02:53.996840Z digest=sha256:cf581425167cd79fafcaf83880dd906f3c62f1c1799c2ecfcc0c1655ca41f16d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:35:33.392202Z digest=sha256:0967090491ad307d250043b8409454e17c678f93ac20465b868db5fb60289cd0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T19:52:49.324500Z digest=sha256:dc08486b907d820391c859a3cc38696a3d9b021d02d2c3c2db1b834cb44332d2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:06:00.379846Z digest=sha256:a2dd928368d9fbfdab56439e2959e9bc770ce39a615e6252019bb0a1e1e8f623

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T08:58:32.951138Z digest=sha256:d52b9d2b62deeb9903bc6997d2b2edd30ff768394eb8a605c553fd460eef9515

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T14:57:40.568265Z digest=sha256:d77c94d645cc3c07d44283a81bb270c1818a6e4d647c81ba3ad02c7b2ec90294

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T20:48:19.988304Z digest=sha256:afe00d3751843bba09e4b6239271bb5cbbc1d7223cd2862e95e794f1109f726c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T11:05:34.514376Z digest=sha256:02f8d1713c0ed2f7e070e843873bb348a4222ab5d88b09766baa59d63d66dbdf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T07:53:06.859337Z digest=sha256:e620ab56b11972ecbe9fde26f9c43f63bc1188b21a3cd638b6304185ddebbe81

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T16:24:25.357338Z digest=sha256:81683a83db7dc3aed49e815f3235b7a1e56f6c0fd8116f248e130a938afe5f9e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T00:47:54.236329Z digest=sha256:deacb2dfced1b8c8ca125d776dcce3946cc6ad7d21e67bb88bd576586bd30906

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-11T03:10:06.679816Z digest=sha256:5e89bf0a1d602f4f49da9268eb148c570e3b0cd63ad03dfc44a119cc90c94b9b

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.

source=pdf_text observed=2026-08-01T14:11:54.805534Z digest=sha256:b6157773b4592fe0ed755f97e1085e94b6df904f5278bf42823905a65e0347e8

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.

source=pdf_text observed=2026-08-06T01:06:29.039986Z digest=sha256:7600a8511238dbe136f2963a18a5c4a79dbad240cadc60627c91474894127316

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.

source=arxiv_source observed=2026-08-05T15:25:39.975070Z digest=sha256:43b77a042d98059f1b53f69a9fbdf94a3fdc2b92820eb2cef8143bec9e62874e