Paper Citation Record · LEDGER

Using a Feedback Loop for LLM-based Infrastructure as Code Generation

As of 15 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2411.19043.

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

pith.paper-citation-record.v1
2411.19043 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:40:06.861496Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:46:31.459964Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:16:18.387403Z

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy10
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5953ac18-77d5-428b-bda6-97ff9260ffaa · outbound

This paper cites https://www.pulumi.com/docs/, [Accessed 12-09- 2024].

Using a Feedback Loop for LLM-based Infrastructure as Code Generation https://www.pulumi.com/docs/, [Accessed 12-09- 2024]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.437802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 71d2e12d-7f10-4d24-b57b-0f90dc97d45c · outbound

This paper cites https://github.com/aws- cloudformation/aws-cloudformation-templates, [Accessed 02-09-2024].

Using a Feedback Loop for LLM-based Infrastructure as Code Generation https://github.com/aws- cloudformation/aws-cloudformation-templates, [Accessed 02-09-2024]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.422937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2c6b757-c0a8-43cc-ba37-369be801b4f2 · outbound

This paper cites https://github.com/aws-cloudformation/cfn-lint?tab=readme-ov-file, [Accessed 12-09-2024].

Using a Feedback Loop for LLM-based Infrastructure as Code Generation https://github.com/aws-cloudformation/cfn-lint?tab=readme-ov-file, [Accessed 12-09-2024]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.410419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b32ab51d-e2ef-46f1-9c32-73090a89912c · outbound

This paper cites — github.com.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation — github.com

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.398685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 458db943-2ec5-4761-a762-9f0a56888bba · outbound

This paper cites It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.385784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d16c1ff3-72a0-4c3c-bd43-ea8eb7b66f02 · outbound

This paper cites https://github.com/pulumi/pulumi-ai, [Accessed 12-09-2024].

Using a Feedback Loop for LLM-based Infrastructure as Code Generation https://github.com/pulumi/pulumi-ai, [Accessed 12-09-2024]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.371912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55542807-d238-4b8e-ae8c-c3521242f2f9 · outbound

This paper cites Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:06.799387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef9e0301-5f87-43d5-b511-0b5348d0fc43 · outbound

This paper cites https://openai.com/index/introducing- structured-outputs-in-the-api/, [Accessed 02-09-2024].

Using a Feedback Loop for LLM-based Infrastructure as Code Generation https://openai.com/index/introducing- structured-outputs-in-the-api/, [Accessed 02-09-2024]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.358665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6de43ce-5dce-438a-9419-294910b5266c · outbound

This paper cites https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/ Welcome.html, [Accessed 02-09-2024].

Using a Feedback Loop for LLM-based Infrastructure as Code Generation https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/ Welcome.html, [Accessed 02-09-2024]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.346185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 956d762b-a555-47da-81ef-61b81d3beeec · outbound

This paper cites IT Faculty.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation IT Faculty

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.333815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2fc0b824-3f58-4ac9-ab74-036059a8aa00 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation Evaluating Large Language Models Trained on Code

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:06.818084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e15fade9-3058-4630-b87e-e8250c42ac22 · outbound

This paper cites In: 2022 IEEE 19th International Conference on Software Archi- tecture Companion (ICSA-C).

Using a Feedback Loop for LLM-based Infrastructure as Code Generation In: 2022 IEEE 19th International Conference on Software Archi- tecture Companion (ICSA-C)

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:40:06.822411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04121acb-459e-43f8-9ba9-1471c60363d9 · outbound

This paper cites In: 2019 IEEE In- ternational Conference on Software Maintenance and Evolution (ICSME).

Using a Feedback Loop for LLM-based Infrastructure as Code Generation In: 2019 IEEE In- ternational Conference on Software Maintenance and Evolution (ICSME)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:06.826704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a306360-b02d-40c3-a5c3-18c892b9b093 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:06.831220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0b9ef9-6a70-482f-85bc-20574479c18b · outbound

This paper cites In: Groote, J.F., Larsen, K.G.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation In: Groote, J.F., Larsen, K.G

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:07.322106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 77e4afac-aca5-4476-82ba-2a69d27e23db · outbound

This paper cites an unresolved cited work.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:06.839666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f110f69-09cc-4ef0-9027-1eaa8c7edf9f · outbound

This paper cites an unresolved cited work.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:06.843715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9f576ed-24e9-4880-a7c3-baebe6058ea0 · outbound

This paper cites Statically Inferring Usage Bounds for Infrastructure as Code.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation Statically Inferring Usage Bounds for Infrastructure as Code

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T10:40:06.939548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 464016da-f9bb-4da9-884f-fafef7aecaad · outbound

This paper cites A Survey of using Large Language Models for Generating Infrastructure as Code.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation A Survey of using Large Language Models for Generating Infrastructure as Code

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:06.853172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fda6810-9027-465d-9816-1711b6848592 · outbound

This paper cites RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:06.857174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fecb45aa-8b69-422a-aaf7-b09b38c3b7c9 · outbound

This paper cites SynCode: LLM Generation with Grammar Augmentation.

Using a Feedback Loop for LLM-based Infrastructure as Code Generation SynCode: LLM Generation with Grammar Augmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:06.861496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e513f013-8cdb-414f-87d8-c893267da604 · inbound

Does Fixing Break Security? An Empirical Study of Security Degradation in Iterative LLM-Driven Infrastructure-as-Code Repair cites this paper.

Does Fixing Break Security? An Empirical Study of Security Degradation in Iterative LLM-Driven Infrastructure-as-Code Repair Using a Feedback Loop for LLM-based Infrastructure as Code Generation

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T11:46:31.611692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.