Paper Citation Record · LEDGER

Generative Artificial Intelligence for Software Engineering -- A Research Agenda

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.18648.

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

pith.paper-citation-record.v1
2310.18648 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:17:24.339000Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b3b36adb-2b26-4ee9-9805-b2be9f8e8669 · 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 Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:14:10.337924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc18877f-ec51-482b-b318-5fe06c4e6acf · inbound

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

Large Language Models for Code Generation: The Practitioners Perspective Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T05:17:24.339000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51cd7980-daef-441a-8305-2f8779bb9f44 · 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 Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T23:48:43.563481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bf4576b-d1a1-47be-9db6-a7ed9d26cc56 · inbound

Exploring Individual Factors in the Adoption of LLMs for Specific Software Engineering Purposes cites this paper.

Exploring Individual Factors in the Adoption of LLMs for Specific Software Engineering Purposes Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.911128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63c378de-d273-4bdf-a42a-d58fa0bd5545 · inbound

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation cites this paper.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:05.101094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a26f04-6a49-43cb-a21a-07b095f0b599 · inbound

Using Generative AI in Software Design Education: An Experience Report cites this paper.

Using Generative AI in Software Design Education: An Experience Report Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:35.836391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feadd1fc-5b45-4e23-bba4-3a9e78fad3f3 · inbound

The Impact of Generative AI on Code Expertise Models: An Exploratory Study cites this paper.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:29:44.943776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12f2a733-d28b-4663-a677-ae657773d4e2 · 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 Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:18:11.546951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8589bcfd-da3a-4660-9c7a-3b8f8f7b4875 · inbound

Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs cites this paper.

Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T22:34:14.202420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca165636-aa12-4b34-ac09-6014d2370f2a · inbound

The Role of LLMs in Collaborative Software Design cites this paper.

The Role of LLMs in Collaborative Software Design Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:55:40.369806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c74fb20e-b24e-4943-832c-b1f8bc021c17 · inbound

Qiskit Code Migration with LLMs cites this paper.

Qiskit Code Migration with LLMs Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 149

Resolution: verified exact; arxiv_id, observed 2026-06-26T16:29:35.492005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.