Paper Citation Record · LEDGER

Planning with Large Language Models for Code Generation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2303.05510.

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

pith.paper-citation-record.v1
2303.05510 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:55:59.266178Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:27:06.057125Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 88d61122-3e14-43e5-a49f-f00af6986c17 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Planning with Large Language Models for Code Generation

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:34:43.028255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73d74421-8706-4863-aa22-407e43b12cc0 · inbound

Developer Challenges on Large Language Models: A Study of Stack Overflow and OpenAI Developer Forum Posts cites this paper.

Developer Challenges on Large Language Models: A Study of Stack Overflow and OpenAI Developer Forum Posts Planning with Large Language Models for Code Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T19:15:01.865788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faf7d65e-489c-41e5-9256-b72ebe61ad2d · inbound

ContextModule: Improving Code Completion via Repository-level Contextual Information cites this paper.

ContextModule: Improving Code Completion via Repository-level Contextual Information Planning with Large Language Models for Code Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T18:19:32.230248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 658902f0-83a3-4aeb-8565-30ffe5b3b386 · inbound

Large Action Models: From Inception to Implementation cites this paper.

Large Action Models: From Inception to Implementation Planning with Large Language Models for Code Generation

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T16:29:57.026595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728c057e-ebaa-4380-a05a-10f1fd42b6cc · inbound

Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks cites this paper.

Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks Planning with Large Language Models for Code Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:02:49.064787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51dc29a2-dca9-4b71-9e48-aafede08f419 · inbound

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models cites this paper.

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Planning with Large Language Models for Code Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:18.243058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15da79fe-33ca-422c-be2f-8aaa72fbf4fe · inbound

How is Google using AI for internal code migrations? cites this paper.

How is Google using AI for internal code migrations? Planning with Large Language Models for Code Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:13.304745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf798bd-03a4-4c78-8d64-0685640fcfed · inbound

Active Task Disambiguation with LLMs cites this paper.

Active Task Disambiguation with LLMs Planning with Large Language Models for Code Generation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-08T22:38:20.065620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c57b61-669b-4af0-bece-c4fe23651fac · inbound

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization cites this paper.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization Planning with Large Language Models for Code Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T17:48:48.891629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47da1288-72e8-417c-8831-b090dda3ac2a · inbound

From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework cites this paper.

From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework Planning with Large Language Models for Code Generation

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T23:48:43.671852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d8e91a-a977-465f-8188-2c51972792ae · inbound

AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers cites this paper.

AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers Planning with Large Language Models for Code Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T05:55:59.266178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29eb6ed0-7c82-4ad9-baf0-9b39074f8e0f · inbound

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation cites this paper.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Planning with Large Language Models for Code Generation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.163479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78f0f04c-8b72-4920-9d4d-bdc76f798214 · inbound

First Finish Search: Efficient Test-Time Scaling in Large Language Models cites this paper.

First Finish Search: Efficient Test-Time Scaling in Large Language Models Planning with Large Language Models for Code Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:42.814618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a082087-58e1-49fb-8b22-0a6e77df5143 · inbound

ChatModel: Automating Reference Model Design and Verification with LLMs cites this paper.

ChatModel: Automating Reference Model Design and Verification with LLMs Planning with Large Language Models for Code Generation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:44.461775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf01b3ea-3b6f-49b1-b42a-e7343e402e18 · inbound

MGC: A Compiler Framework Exploiting Compositional Blindness in Aligned LLMs for Malware Generation cites this paper.

MGC: A Compiler Framework Exploiting Compositional Blindness in Aligned LLMs for Malware Generation Planning with Large Language Models for Code Generation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:53.376594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315e0a0a-d7ef-4091-bd05-5f507d35b534 · inbound

Breaking the Myth: Can Small Models Infer Postconditions Too? cites this paper.

Breaking the Myth: Can Small Models Infer Postconditions Too? Planning with Large Language Models for Code Generation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T17:41:43.727541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbdf5ee1-a7e9-4875-926d-c0dd4acb0659 · inbound

It's Not That Simple. An Analysis of Simple Test-Time Scaling cites this paper.

It's Not That Simple. An Analysis of Simple Test-Time Scaling Planning with Large Language Models for Code Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:06.934747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c906f5f-61f9-486f-bf83-ee481302323e · inbound

MemoCoder: Automated Function Synthesis using LLM-Supported Agents cites this paper.

MemoCoder: Automated Function Synthesis using LLM-Supported Agents Planning with Large Language Models for Code Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:13:23.702805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3290d4ab-23ea-4fea-bacf-ac6cc6ab5f09 · inbound

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? cites this paper.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Planning with Large Language Models for Code Generation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T14:17:34.208822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee31c22d-fae6-4f86-91b1-7438f039009d · inbound

BLUEX Revisited: Enhancing Benchmark Coverage with Automatic Captioning cites this paper.

BLUEX Revisited: Enhancing Benchmark Coverage with Automatic Captioning Planning with Large Language Models for Code Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T14:29:26.568182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e001f309-f4d6-41ee-8021-b8e119e89a4b · inbound

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling cites this paper.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Planning with Large Language Models for Code Generation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.583413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25b8fa40-a5a2-40f6-9391-3e07277ee9da · inbound

Concentration bounds on response-based vector embeddings of black-box generative models cites this paper.

Concentration bounds on response-based vector embeddings of black-box generative models Planning with Large Language Models for Code Generation

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T23:05:54.598627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 419d005a-2df9-472e-b2b9-bea050c57dc7 · inbound

LogiDroid: Individual Functional Test Generation via Business Logic Extraction and Adaptation cites this paper.

LogiDroid: Individual Functional Test Generation via Business Logic Extraction and Adaptation Planning with Large Language Models for Code Generation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:14.885883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee7fbfed-afad-44b8-9522-ea5202a331fc · inbound

AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search cites this paper.

AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search Planning with Large Language Models for Code Generation

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:40:57.536889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e6da0e5-8c2b-4cff-b4aa-a2e04cbe7176 · inbound

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation cites this paper.

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation Planning with Large Language Models for Code Generation

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:17:37.635236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5906daa-29c8-4d12-be27-690c7ba9c88f · inbound

Gradient-Based Program Synthesis with Neurally Interpreted Languages cites this paper.

Gradient-Based Program Synthesis with Neurally Interpreted Languages Planning with Large Language Models for Code Generation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:56:08.276528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89eb1cb7-b2ea-4682-beac-454cdb4b8f23 · inbound

Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions cites this paper.

Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions Planning with Large Language Models for Code Generation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:21:53.020009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60b85cac-c470-42a2-8d5b-9fe2c1b20dac · inbound

POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference cites this paper.

POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference Planning with Large Language Models for Code Generation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:56:12.225239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a246ac53-96b3-4705-9a7c-09e3a5f28f6c · inbound

Beyond Greedy Chunking: SLO-Aware Sliding-Window Scheduling for LLM Inference cites this paper.

Beyond Greedy Chunking: SLO-Aware Sliding-Window Scheduling for LLM Inference Planning with Large Language Models for Code Generation

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:27:06.058795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34c9818c-a02b-4a85-975d-a0df969a136d · inbound

Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer cites this paper.

Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer Planning with Large Language Models for Code Generation

Reference 38

Resolution: malformed identifier; no resolver link, observed 2026-08-05T18:51:31.240272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb87150f-5eb2-4e5d-92bb-c66273168050 · inbound

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling cites this paper.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Planning with Large Language Models for Code Generation

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-12T14:10:45.633561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.