Paper Citation Record · LEDGER

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.10290.

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

pith.paper-citation-record.v1
2406.10290 v1

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:13:20.107378Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:57:51.482552Z

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 8dd2ce01-dace-4654-b02d-d09bff94d1e4 · inbound

SlimLM: An Efficient Small Language Model for On-Device Document Assistance cites this paper.

SlimLM: An Efficient Small Language Model for On-Device Document Assistance MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T20:13:20.107378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38dead33-d021-40c7-ad96-4290f49e0426 · inbound

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method cites this paper.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:33.367416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fabf948-7a62-46ae-b886-3219b0a7faec · inbound

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance cites this paper.

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:57:51.489118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3f7057cf-ccb5-4b8f-83f2-16eb5a338e01 · inbound

Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference cites this paper.

Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T12:14:57.342551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.