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Paper Citation Record · LEDGER

Efficient Prompting for LLM-based Generative Internet of Things

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:57.778859Z

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 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.

source=pdf_text observed=2026-08-07T14:45:57.778859Z digest=sha256:8f2851788c1f070176c7d9e79fe5dee1589eb55d6334384eccc94ec534d9bb06

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:57:38.514144Z digest=sha256:8107ce1a6b573f525f97d1520b2588802463841e505a02d7ecae23577634e181