Paper Citation Record · LEDGER

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning

As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.10946.

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

pith.paper-citation-record.v1
2509.10946 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:23:22.492228Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f720c7bb-1771-4d9e-85ee-a0ec2ccad408 · outbound

This paper cites Tinyml: Current progress, research challenges, and future roadmap,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Tinyml: Current progress, research challenges, and future roadmap,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.065688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d5aef0b-10f7-4fa8-bcb7-0436e33b41f8 · outbound

This paper cites Edge impulse: An mlops platform for tiny machine learning,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Edge impulse: An mlops platform for tiny machine learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.128045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c703c542-cfc1-4894-bfbd-916ccbf4ddec · outbound

This paper cites Llm- based test-driven interactive code generation: User study and empirical evaluation,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Llm- based test-driven interactive code generation: User study and empirical evaluation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.169667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e26c96d-37b8-4296-8587-52c31d49c4c1 · outbound

This paper cites Large language models for software engineering: Sur- vey and open problems,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Large language models for software engineering: Sur- vey and open problems,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.257421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d79f3737-8a26-4f87-a256-c5735b048f05 · outbound

This paper cites Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.346463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea42338a-0022-4d9e-aaf1-f8a145e664f0 · outbound

This paper cites Towards risk-aware artificial intelligence and machine learning systems: An overview,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Towards risk-aware artificial intelligence and machine learning systems: An overview,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.405766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 658d5516-63eb-40d5-8f06-36bb65bf298a · outbound

This paper cites What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.474317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cd2bc88-95f7-4a24-928c-f98710d6afa7 · outbound

This paper cites Is ChatGPT the Ultimate Programming Assistant -- How far is it?.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Is ChatGPT the Ultimate Programming Assistant -- How far is it?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.574210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f624208-ae18-4149-938b-5a352f59127b · outbound

This paper cites Prompt engineering in consistency and reliability with the evidence- based guideline for llms,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Prompt engineering in consistency and reliability with the evidence- based guideline for llms,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.684036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9e77b84-f0fd-49c4-939b-6c18bc8b8ce4 · outbound

This paper cites Mindmap: constructing evidence chains for multi-step reasoning in large language models,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Mindmap: constructing evidence chains for multi-step reasoning in large language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.793825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da704453-7066-4314-b607-7b9b012a48ab · outbound

This paper cites Morepair: Teaching llms to repair code via multi- objective fine-tuning,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Morepair: Teaching llms to repair code via multi- objective fine-tuning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.882528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5954333d-adbc-4857-b55e-b18c73e29984 · outbound

This paper cites The patch overfitting problem in automated program repair: Practical magnitude and a baseline for realistic benchmarking,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning The patch overfitting problem in automated program repair: Practical magnitude and a baseline for realistic benchmarking,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:21.959243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c473680-8a6c-4bd9-9b6b-04dd89679433 · outbound

This paper cites Challenges and opportunities in integrating llms into con- tinuous integration/continuous deployment (ci/cd) pipelines,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Challenges and opportunities in integrating llms into con- tinuous integration/continuous deployment (ci/cd) pipelines,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:22.014815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9b16056-dc69-4453-86c7-8c8bde8e7295 · outbound

This paper cites Bugs in large language models generated code: An empirical study,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Bugs in large language models generated code: An empirical study,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:22.079098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab97865-288c-4d58-8138-607ace102654 · outbound

This paper cites Vecogen: Automating generation of formally verified c code with large language models,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Vecogen: Automating generation of formally verified c code with large language models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:22.193205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 381c8924-3661-4e80-9830-b5fbfd9fc151 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:22.285628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f10feb27-682a-4b6f-88c0-0d0f5dc03bdf · outbound

This paper cites Prompt Orchestration Markup Language.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Prompt Orchestration Markup Language

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:22.391430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd0f73e1-31c2-4327-9f3d-12a3423266b5 · outbound

This paper cites Lorp: Llm-based logical reasoning via prolog,.

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning Lorp: Llm-based logical reasoning via prolog,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:22.492228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.