Paper Citation Record · LEDGER

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.10984.

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

pith.paper-citation-record.v1
2506.10984 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:23:26.271205Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy12
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75544f35-32ef-4dce-ba2f-e2f4aa340784 · outbound

This paper cites Bridging eras: Transforming fortran legacies into python with the power of large language models,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Bridging eras: Transforming fortran legacies into python with the power of large language models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.773000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8746b577-0094-4795-abad-d1d8e02c991e · outbound

This paper cites Leveraging llms for legacy code modernization: Challenges and opportunities for llm-generated documentation,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Leveraging llms for legacy code modernization: Challenges and opportunities for llm-generated documentation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.762617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e347a09c-2401-4b77-b99f-92d77c2e4f22 · outbound

This paper cites Requirements are all you need: From requirements to code with llms,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Requirements are all you need: From requirements to code with llms,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.736318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f0f06577-14e1-4eaa-bfd0-e2d76f4e6026 · outbound

This paper cites Optimizing ai-assisted code generation: En- hancing security, efficiency, and accessibility in software development,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Optimizing ai-assisted code generation: En- hancing security, efficiency, and accessibility in software development,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.705473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c78e3b90-3dd6-4694-b8a7-d5d2f50f8384 · outbound

This paper cites Ibm granite transparency report,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Ibm granite transparency report,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.668049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d177b611-959f-4393-a2d3-645ee39cc499 · outbound

This paper cites Ibm granite responsible use guide,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Ibm granite responsible use guide,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.625647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed865d61-8465-40ba-a640-b21e003f8e28 · outbound

This paper cites Codet5: Identifier-aware uni- fied pre-trained encoder-decoder models for code understanding and gen- eration,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Codet5: Identifier-aware uni- fied pre-trained encoder-decoder models for code understanding and gen- eration,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.573865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5227c65a-92c8-4ac7-ac79-5e7cb52ae317 · outbound

This paper cites Using ai-based cod- ing assistant in practice: State of affairs, perceptions, and ways forward,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Using ai-based cod- ing assistant in practice: State of affairs, perceptions, and ways forward,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.524870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 328dc600-a123-44d4-8e67-1a90448a6958 · outbound

This paper cites From chatgpt to threatgpt: Impact of generative ai in cybersecurity and privacy,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality From chatgpt to threatgpt: Impact of generative ai in cybersecurity and privacy,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.462657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7e8710a-618e-41cd-a42c-e4eeb85aaaa4 · outbound

This paper cites Do users write more insecure code with ai assistants?.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Do users write more insecure code with ai assistants?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.427016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 97895a3b-d3c9-49fe-a29a-c5d97ab6f4bc · outbound

This paper cites Lost at c: A user study on the security implications of large language model code assistants,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Lost at c: A user study on the security implications of large language model code assistants,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.416366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 939a6106-a77e-4614-b4e4-913b87fce28b · outbound

This paper cites Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer Insights.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer Insights

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:26.264613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51c8396c-b9c1-4255-9f27-a78e4a3854f9 · outbound

This paper cites Assessing the effectiveness and security implications of ai code generators,.

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality Assessing the effectiveness and security implications of ai code generators,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:26.405715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.