Paper Citation Record · LEDGER

MNN: A Universal and Efficient Inference Engine

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.12418.

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

pith.paper-citation-record.v1
2002.12418 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:31.415946Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:33:42.457517Z

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 5171003c-2e67-4fdb-8567-d34c505fe892 · inbound

Scaling On-Device GPU Inference for Large Generative Models cites this paper.

Scaling On-Device GPU Inference for Large Generative Models MNN: A Universal and Efficient Inference Engine

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:31.415946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9307a5d8-6077-4a52-98f5-1a35ea8d2560 · inbound

Challenging GPU Dominance: When CPUs Outperform for On-Device LLM Inference cites this paper.

Challenging GPU Dominance: When CPUs Outperform for On-Device LLM Inference MNN: A Universal and Efficient Inference Engine

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:35.215615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e04c31-6eff-4bb8-9227-d039bf16fb7d · inbound

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices cites this paper.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices MNN: A Universal and Efficient Inference Engine

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:33:42.562810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76291c0c-36d4-4264-921e-9b96cf9bac3b · 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 MNN: A Universal and Efficient Inference Engine

Reference 23

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.