Paper Citation Record · LEDGER

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2501.12420.

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

pith.paper-citation-record.v1
2501.12420 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:56:06.830114Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:23:21.346463Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact2
verified fuzzy10
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 699e95e7-3c19-40d1-a1d0-41707e466da3 · outbound

This paper cites A Comprehensive Survey on TinyML,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? A Comprehensive Survey on TinyML,

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-10T17:56:07.346563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4dc86074-3155-4782-a8ce-997562b57923 · outbound

This paper cites A Machine Learning-Oriented Survey on Tiny Machine Learning,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? A Machine Learning-Oriented Survey on Tiny Machine Learning,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-10T17:56:07.235016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b396e24f-d09b-43b5-ae32-4842cd427cf9 · outbound

This paper cites Empowering iot with generative ai: Applications, case studies, and limitations,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Empowering iot with generative ai: Applications, case studies, and limitations,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.522696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 491e6a61-4036-4f39-b0ca-0b16cab2eb93 · outbound

This paper cites TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.508812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f4c041d-37da-4b21-aeb8-eabd50391dd9 · outbound

This paper cites Edge Impulse: An MLOps Platform for Tiny Machine Learning.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Edge Impulse: An MLOps Platform for Tiny Machine Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T17:56:06.755624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15f23975-db06-4652-bf22-95559b978c50 · outbound

This paper cites Warden and D.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Warden and D

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.489325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 58ac3b69-fb82-4bd9-b58a-0eeb31cec48b · outbound

This paper cites Challenges and Applications of Large Language Models.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Challenges and Applications of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T17:56:06.767445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c80d2977-25a6-4b82-b256-8f24f52b28b8 · outbound

This paper cites Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T17:56:06.773695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8784cbe5-28bf-4d41-beda-0bb6323660a3 · outbound

This paper cites Flexible and Secure Code Deployment in Federated Learning using Large Language Models: Prompt Engineering to Enhance Malicious Code Detection,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Flexible and Secure Code Deployment in Federated Learning using Large Language Models: Prompt Engineering to Enhance Malicious Code Detection,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T17:56:06.779996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53f308d2-5b14-4fc1-8b2a-ca8ff81055dd · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? ReAct: Synergizing Reasoning and Acting in Language Models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.475165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2646d877-9891-4548-b4fb-1480e171d9db · outbound

This paper cites From generative ai to generative internet of things: Fundamentals, framework, and outlooks,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? From generative ai to generative internet of things: Fundamentals, framework, and outlooks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.461621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e13bb17-051b-405d-9ed7-a126077de572 · outbound

This paper cites Exploring and characterizing large language models for embedded system development and debugging,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Exploring and characterizing large language models for embedded system development and debugging,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.446839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 094e2280-8530-49d0-9946-a598e4ce2959 · outbound

This paper cites Iot sensor selection in cyber-physical systems: Leveraging large language models as recommender systems,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Iot sensor selection in cyber-physical systems: Leveraging large language models as recommender systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.425822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4574cd42-9c2a-408d-8a78-3cb1bc006dde · outbound

This paper cites Poster: Rethinking embedded sensor data processing and analysis with large language models,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Poster: Rethinking embedded sensor data processing and analysis with large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.412154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6aa84631-49f2-4c50-a774-a386976d3eeb · outbound

This paper cites Llmif: Augmented large language model for fuzzing iot devices,.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? Llmif: Augmented large language model for fuzzing iot devices,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.395464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fcec6cbd-d757-4654-9732-32aca3595f12 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? ReAct: Synergizing Reasoning and Acting in Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T17:56:06.792244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be86003-96f6-4555-b47a-c6f9a5dee138 · outbound

This paper cites He is affiliated with the Helsinki Institute for Information Technology (HIIT) and the Finnish Center for AI (FCAI).

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? He is affiliated with the Helsinki Institute for Information Technology (HIIT) and the Finnish Center for AI (FCAI)

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:56:07.367714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

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

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning cites this paper.

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.