Paper Citation Record · LEDGER

Efficient Prompting for LLM-based Generative Internet of Things

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.10382.

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

pith.paper-citation-record.v1
2406.10382 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:29:14.888993Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:31:06.557256Z

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 0e8643b5-d7f3-4526-ab36-b143d6e49b8d · inbound

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator cites this paper.

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator Efficient Prompting for LLM-based Generative Internet of Things

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:14.888993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce0aacaa-1368-442e-9cfc-ee069d3da64c · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey Efficient Prompting for LLM-based Generative Internet of Things

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-08T12:20:08.425816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78ffed1-25d8-4a02-b1f4-e0e048e70412 · inbound

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications cites this paper.

Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications Efficient Prompting for LLM-based Generative Internet of Things

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:57.778859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3f525e0-0ccb-424c-8092-849d362636cc · inbound

Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration cites this paper.

Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration Efficient Prompting for LLM-based Generative Internet of Things

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:06.560473Z

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.