Paper Citation Record · LEDGER

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction

As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2502.00689.

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

pith.paper-citation-record.v1
2502.00689 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:09:32.317304Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:38.292133Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:00:44.723979Z

Reference resolution

17 of 17 outbound references displayed

verified exact1
verified fuzzy16
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c96e70da-b28d-4dbb-a4aa-b8f89b2b8200 · outbound

This paper cites Shaping iot systems together: The user-system mixed-initiative paradigm and its challenges,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Shaping iot systems together: The user-system mixed-initiative paradigm and its challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.525654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 433ba8e5-54d6-4ce5-b11c-2bb799d50284 · outbound

This paper cites Principles of mixed-initiative user interfaces,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Principles of mixed-initiative user interfaces,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.516210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2cd81b6-9778-4c3f-b27a-3dfd9ba79d99 · outbound

This paper cites Does prompt formatting have any impact on llm performance?,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Does prompt formatting have any impact on llm performance?,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.506364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c53d104-1c5f-4c0e-a653-b82e7c0e0307 · outbound

This paper cites Mobigoal: Flexible achievement of personal goals for mobile users,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Mobigoal: Flexible achievement of personal goals for mobile users,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.495588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba14b98c-e135-4748-8c69-640b5786fab6 · outbound

This paper cites Gpt-4 technical report,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Gpt-4 technical report,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.484399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7aab9669-63f3-43cc-8d60-84341b5f3c68 · outbound

This paper cites Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.474702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fc9bb671-1e49-48c7-8d3f-03db614581dd · outbound

This paper cites Qwen technical report,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Qwen technical report,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.464346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb7f3cb5-2f74-4937-b9b0-8cafa12288af · outbound

This paper cites Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.453990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f14eedf-ceae-42f5-bd26-959d641786ee · outbound

This paper cites Codebertscore: Evaluating code generation with pretrained models of code,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Codebertscore: Evaluating code generation with pretrained models of code,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.444999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d536b960-810c-4ddd-b850-99055b354a86 · outbound

This paper cites Smart configuration of smart environments,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Smart configuration of smart environments,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.435190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a94b950-36ec-4484-95a9-698ce0df10fb · outbound

This paper cites Human behavior-oriented architectural design,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Human behavior-oriented architectural design,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.424788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2fc5efe-29d7-4d47-b686-da3e39be237e · outbound

This paper cites A user-driven adap- tation approach for microservice-based iot applications,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction A user-driven adap- tation approach for microservice-based iot applications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.412863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f54b9ac-e0b6-4c11-b975-f607abc70716 · outbound

This paper cites User interface and architecture adaption based on emotions and behaviors,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction User interface and architecture adaption based on emotions and behaviors,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.400710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 94ccce7c-a353-45c7-9b13-5623e0d503a2 · outbound

This paper cites Integrated model-driven development of self-adaptive user interfaces,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Integrated model-driven development of self-adaptive user interfaces,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.387828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28e72a9a-54d9-4a18-8c22-8ce4f77854c1 · outbound

This paper cites Language to Specify Syntax-Guided Synthesis Problems.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Language to Specify Syntax-Guided Synthesis Problems

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-09T18:09:32.352533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 92fdebad-adaf-4fe4-b151-cad14600bf76 · outbound

This paper cites Self-planning code generation with large language models,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Self-planning code generation with large language models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.375511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e2a0a9a-afe7-4820-874e-cefe762cddf3 · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversation,.

Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction Autogen: Enabling next-gen llm applications via multi-agent conversation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:09:32.363852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 5971312c-e22e-4a08-9210-e49e52b076cb · inbound

Software Architecture Meets LLMs: A Systematic Literature Review cites this paper.

Software Architecture Meets LLMs: A Systematic Literature Review Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:00:44.793072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.