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Paper Citation Record · LEDGER

A Survey of using Large Language Models for Generating Infrastructure as Code

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.00227.

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

pith.paper-citation-record.v1
2404.00227 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:40:06.853172Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T21:53:19.575728Z

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 464016da-f9bb-4da9-884f-fafef7aecaad · inbound

Using a Feedback Loop for LLM-based Infrastructure as Code Generation cites this paper.

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.

source=pdf_text observed=2026-08-12T10:40:06.853172Z digest=sha256:5c2ad225c777472be021066f711d8c89fbb4de7ae635bf8b5a72d3ba2482edf1

Observation 65e2605e-bb5a-4e8d-99c4-2be856c91336 · inbound

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions A Survey of using Large Language Models for Generating Infrastructure as Code

Reference 222

Resolution
unresolved
no resolver link, observed 2026-08-11T14:15:32.369479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:15:32.369479Z digest=sha256:778513b41dae7b2b3ea6e844560356f7f103ba4e5b2920ff2302f487068565f7

Observation ad308f5e-005e-4919-871e-0cfa41ade9cb · inbound

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential cites this paper.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential A Survey of using Large Language Models for Generating Infrastructure as Code

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:01.550179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:26:01.550179Z digest=sha256:e9192db1f70502d1b047fad81af82f079db3bd1aee1df5d41d170b7cb8b83565

Observation 2f7265e3-fe49-4f9b-8bc6-af49eb6723df · inbound

Ambig-IaC: Multi-level Disambiguation for Interactive Cloud Infrastructure-as-Code Synthesis cites this paper.

Ambig-IaC: Multi-level Disambiguation for Interactive Cloud Infrastructure-as-Code Synthesis A Survey of using Large Language Models for Generating Infrastructure as Code

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:53:19.578146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T21:52:31.464672Z digest=sha256:39fb1399e5ac223a089a0bd9292b8e9f8bc22d7dda754cc7ee3d830e4fad024c

Observation 27031f20-0cd5-4e04-8c19-99e9e6d57e80 · inbound

Octopus Protocol: One-Shot Hardware Discovery and Control for AI Agents via Infrastructure-as-Prompts cites this paper.

Octopus Protocol: One-Shot Hardware Discovery and Control for AI Agents via Infrastructure-as-Prompts A Survey of using Large Language Models for Generating Infrastructure as Code

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:16:19.249263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T03:12:52.834447Z digest=sha256:6b9f6a8187f337a1782c8ccd1935541fd3a282d39859062aa413dc2b639401e8