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Paper Citation Record · LEDGER

On-Device LLMs for SMEs: Challenges and Opportunities

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.16070.

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

pith.paper-citation-record.v1
2410.16070 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:44:06.467762Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:54:34.749447Z

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 f19f0dc5-0aac-4f99-9c60-331c3d5539fc · inbound

Suggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models cites this paper.

Suggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models On-Device LLMs for SMEs: Challenges and Opportunities

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T19:44:06.467762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:44:06.467762Z digest=sha256:2e1bee2768357e43dffa9fc25be1f5607101a08383595bb68f6361aa6216d35c

Observation 8227859a-b082-41d7-aaa2-38bdfbf46a6a · inbound

The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning cites this paper.

The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning On-Device LLMs for SMEs: Challenges and Opportunities

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:54:34.750692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-30T09:52:42.862423Z digest=sha256:0d7fc3c79029b5d455889f25deaf30147e23c63a1debf18ed50458bc7dc09b10