Paper Citation Record · LEDGER

Planning with Large Language Models for Code Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:45:53.376594Z

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 2026-08-06T06:34:29.942622+00:00.

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 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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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.