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Paper Citation Record · LEDGER

Engineering Trustworthy Software: A Mission for LLMs

As of 13 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2411.17981.

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

pith.paper-citation-record.v1
2411.17981 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:40:18.520653Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T18:40:59.564031Z

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

19 of 19 outbound references displayed

  • verified exact6
  • verified fuzzy2
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a8d75464-5337-4532-948c-089e6a2e3257 · outbound

This paper cites Language models are few-shot learners,.

Engineering Trustworthy Software: A Mission for LLMs Language models are few-shot learners,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:19.146047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:18.434673Z digest=sha256:9a452af798185bf4cb622259c5b9ffdbf3bf620f8587db3c6ba3e346f1a7aa0a

Observation 8b7a201c-f657-421f-b9f6-5d96cbff2dd2 · outbound

This paper cites STRAM: Measuring the trustwor- thiness of computer-based systems,.

Engineering Trustworthy Software: A Mission for LLMs STRAM: Measuring the trustwor- thiness of computer-based systems,

Reference 2

Resolution
verified exact
doi, observed 2026-08-12T11:40:18.697111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:18.439941Z digest=sha256:90a6dea8a43c19613e623d02ededb7ccf04a65c5b209e986957793518080ea97

Observation ac954caa-0112-4181-8f05-f64d75ce0157 · outbound

This paper cites A Survey on Evaluating Large Language Models in Code Generation Tasks.

Engineering Trustworthy Software: A Mission for LLMs A Survey on Evaluating Large Language Models in Code Generation Tasks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.444859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.444859Z digest=sha256:d24f31db636fe4e22780d80c72a97b319ef3995233c7b44c5e4c189fbda68f2a

Observation 90ff60e8-fb58-459e-aec8-ce8ba3d94dae · outbound

This paper cites Can LLMs generate architectural design decisions? - An ex- ploratory empirical study,.

Engineering Trustworthy Software: A Mission for LLMs Can LLMs generate architectural design decisions? - An ex- ploratory empirical study,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.450135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.450135Z digest=sha256:b4d3e5a73e4b7f02e7a22cec85b66296a581dedfc888ba70e5a57de904248553

Observation ded9e4a2-5662-4a6f-ab4d-ae3510f929e5 · outbound

This paper cites AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing.

Engineering Trustworthy Software: A Mission for LLMs AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.454971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.454971Z digest=sha256:57a7b7e690ccefa558d18d19ed67e53ab3c9bfe3e8cebf7cfaaea32443651e4f

Observation 89b86c80-ba7f-40c7-89da-7117a90f023d · outbound

This paper cites MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution.

Engineering Trustworthy Software: A Mission for LLMs MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.460344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.460344Z digest=sha256:8e5c744b5f98ff179e17d466e3bc6906ce046bbfd1d19d747b2daf95d32c852d

Observation 89c736cc-1cda-440a-8cc7-23a92b0c01e6 · outbound

This paper cites Do trust and trustworthi- ness pay off?,.

Engineering Trustworthy Software: A Mission for LLMs Do trust and trustworthi- ness pay off?,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:19.131262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:18.465441Z digest=sha256:4da414002357394eaa3fa04a98fc31032624777011881aa013a2530b7994e0d4

Observation 9c850a77-2f62-4bff-b6eb-f1797ed5c989 · outbound

This paper cites Software trustworthiness: Past, present and future,.

Engineering Trustworthy Software: A Mission for LLMs Software trustworthiness: Past, present and future,

Reference 8

Resolution
verified exact
doi, observed 2026-08-12T11:40:18.650841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:18.469933Z digest=sha256:25d7d5eebae7c4880ae1e7de83b3863b7a74ed374465623ae6ee046de16eb1c7

Observation c49ef19f-a16b-43d0-ae13-eaf0846d6ce5 · outbound

This paper cites Towards an approach for trust- worthiness assessment of software as a ser- vice,.

Engineering Trustworthy Software: A Mission for LLMs Towards an approach for trust- worthiness assessment of software as a ser- vice,

Reference 9

Resolution
verified exact
doi, observed 2026-08-12T11:40:18.635763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:18.474464Z digest=sha256:28985df0ca3a49a10c50c7a2e516f8e1c9d5d75627408c12e2b7b07f752a2233

Observation 511636c1-ccbe-4453-bd47-6dd6c789b29e · outbound

This paper cites an unresolved cited work.

Engineering Trustworthy Software: A Mission for LLMs Unresolved cited work

Reference 10

Resolution
verified exact
doi, observed 2026-08-12T11:40:18.620726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:18.479759Z digest=sha256:f275924bed2ff0f1292668d1d17f0f9e35fc1cb611e3f234da96813735620fad

Observation 691c1cb9-bfd8-49bb-9f25-1a57e21e39fe · outbound

This paper cites An introduction to software architecture,.

Engineering Trustworthy Software: A Mission for LLMs An introduction to software architecture,

Reference 11

Resolution
verified exact
doi, observed 2026-08-12T11:40:18.605000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:18.484368Z digest=sha256:9dc3c6cc0f65586837d25aae048f70bb473c30a4d49d6cf7713ff47e0aea1756

Observation 069105b3-5060-4e5a-bd95-8314e09b08e7 · outbound

This paper cites As- sessing dependability with software fault injection: A survey,.

Engineering Trustworthy Software: A Mission for LLMs As- sessing dependability with software fault injection: A survey,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.489023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.489023Z digest=sha256:447d74447d151f3b5e8b4ac9671791d7725ce7cb385fdd964a76728fbf87664f

Observation bea0e34e-c20a-485f-93ea-4962d966d46d · outbound

This paper cites Refactoring programs using large language models with few-shot examples,.

Engineering Trustworthy Software: A Mission for LLMs Refactoring programs using large language models with few-shot examples,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.493530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.493530Z digest=sha256:3924d0e8991edd1d80fb7b71785c8330293e7a46f7757d8d9116ce4242a279d5

Observation 0562bb80-68c3-4510-b024-03abf5e001dd · outbound

This paper cites InferFix: End-to- end program repair with LLMs,.

Engineering Trustworthy Software: A Mission for LLMs InferFix: End-to- end program repair with LLMs,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.498305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.498305Z digest=sha256:89145f3913bc35591cb0d22e0e1308e9e5d1ebcd7b2742776bc05efad19c0cb3

Observation c54d736c-b50b-442f-acf0-721eee79d5ea · outbound

This paper cites Type-migrating C-to-Rust translation using a large language model,.

Engineering Trustworthy Software: A Mission for LLMs Type-migrating C-to-Rust translation using a large language model,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.502693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.502693Z digest=sha256:5e6fe0de02bbc7762b5588c4ca99530d535d0764d610ded5eb66bfd64c99d7ec

Observation 634efde2-8e1f-4969-a2f6-c7661bdfd7f4 · outbound

This paper cites Towards the self-healing of infrastructure as code projects using constrained LLM technologies,.

Engineering Trustworthy Software: A Mission for LLMs Towards the self-healing of infrastructure as code projects using constrained LLM technologies,

Reference 16

Resolution
metadata mismatch
raw_fallback, observed 2026-08-12T11:40:18.875734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:18.507287Z digest=sha256:af1b8aca7376d1d2c4c479bff7b957b9d68692ad23175b6ddfd825bc98cf2bad

Observation d4d7c5ad-83fa-45b6-94c8-82aa02fecdc8 · outbound

This paper cites MonitorAssistant: Simpli- fying cloud service monitoring via large language models,.

Engineering Trustworthy Software: A Mission for LLMs MonitorAssistant: Simpli- fying cloud service monitoring via large language models,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.511515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.511515Z digest=sha256:e8fc2dd0637bcf017e78edcfd3901bfac6cb15d37e49f3fe7c2f18609f753967

Observation f6e775ea-5a99-4714-95e0-e52e8d8b265d · outbound

This paper cites LLM-BRC: A large language model-based bug report classification framework,.

Engineering Trustworthy Software: A Mission for LLMs LLM-BRC: A large language model-based bug report classification framework,

Reference 18

Resolution
verified exact
doi, observed 2026-08-12T11:40:18.569970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:18.515971Z digest=sha256:a21e80a3123f2f2c0d1ee1d08339d288932f923bbbc576dd6f0b9381085ef17a

Observation 50a11d4d-400d-4ac9-99eb-5d72e3e73e77 · outbound

This paper cites A quantitative and qualitative evaluation of LLM-based explainable fault localization,.

Engineering Trustworthy Software: A Mission for LLMs A quantitative and qualitative evaluation of LLM-based explainable fault localization,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.520653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.520653Z digest=sha256:44cb2915b49ae37b64a086d7e4182cd167df2f5dea9469acc464bf933a218e95

Pith citing papers

Observation 0f0d3f5c-3183-4e91-b033-f72e1eef8f9a · inbound

Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code cites this paper.

Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code Engineering Trustworthy Software: A Mission for LLMs

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:41:56.305710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T18:40:59.564031Z digest=sha256:366f1f5ea5a056e87e53fee66f9794f5491535f66a419a2f2816da5eed5badcc