Pith. sign in

Paper Citation Record · LEDGER

Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.04680.

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

pith.paper-citation-record.v1
2408.04680 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:58:52.670590Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:15:32.745992Z

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 e2f1a88d-b074-4cfd-97ce-83d7cce8e285 · inbound

When IoT Meet LLMs: Applications and Challenges cites this paper.

When IoT Meet LLMs: Applications and Challenges Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T15:58:52.670590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:58:52.670590Z digest=sha256:95ca5c4a112b782f891f0b67ca4394299f137ce38e6803630100debaff8adda5

Observation 16ab1a88-9bae-4a89-bc85-9a111aea61d9 · inbound

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications

Reference 231

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:15:32.754015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:15:32.448057Z digest=sha256:8d0e105330f6aeb8e06b65308bbf1d5bee7aca87322a2520df7fd6aa41d8fd82