Paper Citation Record · LEDGER

Large Language Models for Software Engineering: Survey and Open Problems

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2310.03533.

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

pith.paper-citation-record.v1
2310.03533 v4

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 2026-08-17T06:30:58.91139+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:50:24.796795Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:46.278502Z

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 40c7843e-aff4-44e7-9a58-109e0c6355de · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs Large Language Models for Software Engineering: Survey and Open Problems

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:14:10.402440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 87649d9b-4049-4059-88a8-a85d19b5f014 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Large Language Models for Software Engineering: Survey and Open Problems

Reference 198

Resolution: verified exact; arxiv_id, observed 2026-05-12T17:28:22.718958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9cc8e12-3331-4343-87bd-38ea7a3ee08f · 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 Large Language Models for Software Engineering: Survey and Open Problems

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T17:34:43.020102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3a4a5af-fdf4-48af-801f-d4e862b8dae6 · inbound

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation cites this paper.

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation Large Language Models for Software Engineering: Survey and Open Problems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:23:46.164298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58c82fc5-83ee-4b26-ac5e-59771c697e03 · 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 Large Language Models for Software Engineering: Survey and Open Problems

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.794070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d5ac315-8cc8-494e-9904-3b673c0c1a1f · inbound

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering cites this paper.

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering Large Language Models for Software Engineering: Survey and Open Problems

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:33:16.005019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc59507a-4adb-4dfc-8c6f-ab46c5046285 · inbound

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models cites this paper.

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models Large Language Models for Software Engineering: Survey and Open Problems

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T17:33:15.858813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b8fa02bd-40b4-40cc-9852-ac01fb36b273 · inbound

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit cites this paper.

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit Large Language Models for Software Engineering: Survey and Open Problems

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T19:19:26.525517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76967ba6-e952-47a1-9a3d-135034c5db59 · inbound

LLMPirate: LLMs for Black-box Hardware IP Piracy cites this paper.

LLMPirate: LLMs for Black-box Hardware IP Piracy Large Language Models for Software Engineering: Survey and Open Problems

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T13:36:12.092295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cf079c9-7690-4912-a79f-b7fb054cd9a1 · inbound

Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation cites this paper.

Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation Large Language Models for Software Engineering: Survey and Open Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:27.624218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 916c64de-f655-4626-b3db-134507bf2738 · inbound

Practitioners' Expectations on Log Anomaly Detection cites this paper.

Practitioners' Expectations on Log Anomaly Detection Large Language Models for Software Engineering: Survey and Open Problems

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:07.291543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05997f67-779d-475d-a25e-2d6d1a2038d3 · inbound

The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment cites this paper.

The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment Large Language Models for Software Engineering: Survey and Open Problems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T10:36:17.220826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c023f635-d32e-4499-bd20-0d06e617a7d7 · inbound

Fault Localization via Fine-tuning Large Language Models with Mutation Generated Stack Traces cites this paper.

Fault Localization via Fine-tuning Large Language Models with Mutation Generated Stack Traces Large Language Models for Software Engineering: Survey and Open Problems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T04:30:42.577028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b62233-1cd9-4ebb-9c3d-5ac2d4e0e6b0 · inbound

Automatically Generating Rules of Malicious Software Packages via Large Language Model cites this paper.

Automatically Generating Rules of Malicious Software Packages via Large Language Model Large Language Models for Software Engineering: Survey and Open Problems

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T10:50:24.796795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a253ef79-b298-4228-9245-7fee23a24c0b · inbound

Technical Challenges in Maintaining Tax Prep Software with Large Language Models cites this paper.

Technical Challenges in Maintaining Tax Prep Software with Large Language Models Large Language Models for Software Engineering: Survey and Open Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:15:18.726437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b2db837-b6f1-48f2-864e-43b4bb802613 · inbound

From Inductive to Deductive: LLMs-Based Qualitative Data Analysis in Requirements Engineering cites this paper.

From Inductive to Deductive: LLMs-Based Qualitative Data Analysis in Requirements Engineering Large Language Models for Software Engineering: Survey and Open Problems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:04.430939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91c2ec81-f593-490b-8ac7-b0c259823291 · inbound

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking cites this paper.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Large Language Models for Software Engineering: Survey and Open Problems

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:16.604183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab119f80-7e59-4df6-8941-a484c40612b4 · inbound

Mobile Application Review Summarization using Chain of Density Prompting cites this paper.

Mobile Application Review Summarization using Chain of Density Prompting Large Language Models for Software Engineering: Survey and Open Problems

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:35.410411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22a3de15-e5db-4b7e-b218-d67e0aa398c7 · inbound

Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy cites this paper.

Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy Large Language Models for Software Engineering: Survey and Open Problems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:18:09.465214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8df0a3-d32a-47ab-981d-f54e29be4714 · inbound

Combining TSL and LLM to Automate REST API Testing: A Comparative Study cites this paper.

Combining TSL and LLM to Automate REST API Testing: A Comparative Study Large Language Models for Software Engineering: Survey and Open Problems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:38.281543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f841de9-815f-4ee0-83d0-e213ca957ed7 · inbound

Development of Automated Software Design Document Review Methods Using Large Language Models cites this paper.

Development of Automated Software Design Document Review Methods Using Large Language Models Large Language Models for Software Engineering: Survey and Open Problems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:17.800162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba435cbe-e1c5-4c9f-9dee-d33ce03ae3f0 · inbound

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review cites this paper.

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review Large Language Models for Software Engineering: Survey and Open Problems

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:50:16.689668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ccdadde8-2adf-4f4d-879c-7e1472d7fe70 · inbound

A Taxonomy of Programming Languages for Code Generation cites this paper.

A Taxonomy of Programming Languages for Code Generation Large Language Models for Software Engineering: Survey and Open Problems

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:56:14.185794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4bcb09d1-fb08-4d74-81a0-abc7f4e92367 · inbound

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks cites this paper.

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks Large Language Models for Software Engineering: Survey and Open Problems

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:53:15.882481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de066e35-b522-4da8-86a7-e41682a3edc3 · inbound

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation cites this paper.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Large Language Models for Software Engineering: Survey and Open Problems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.571855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e1462a0-b3f3-430d-b09a-047a23e1b230 · inbound

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering cites this paper.

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering Large Language Models for Software Engineering: Survey and Open Problems

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.327415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64f8b64b-2fb2-4f1a-bb47-979cfb611e92 · inbound

Trust-Aware Multi-Agent Traceability: Confidence-Calibrated Knowledge Graphs for Consistent Software Artifact Management cites this paper.

Trust-Aware Multi-Agent Traceability: Confidence-Calibrated Knowledge Graphs for Consistent Software Artifact Management Large Language Models for Software Engineering: Survey and Open Problems

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:38:48.851394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10d92fab-39a0-472f-b2ef-a3bb607aaab7 · inbound

CornerCase: Automated Extremal Testing of Protocol Implementations using LLMs cites this paper.

CornerCase: Automated Extremal Testing of Protocol Implementations using LLMs Large Language Models for Software Engineering: Survey and Open Problems

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:04:13.942706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 828433b5-84cf-402a-8de9-5ef0c99b3fe9 · inbound

Akashic: A Low-Overhead LLM Inference Service with MemAttention cites this paper.

Akashic: A Low-Overhead LLM Inference Service with MemAttention Large Language Models for Software Engineering: Survey and Open Problems

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:27:46.297079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37c7a262-8f47-4c1d-9e54-517f7824a3c1 · inbound

Quantize with Confidence? An Empirical Study of Quantization for Code Generation cites this paper.

Quantize with Confidence? An Empirical Study of Quantization for Code Generation Large Language Models for Software Engineering: Survey and Open Problems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T03:32:47.207871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.