Paper Citation Record · LEDGER

On-Device Neural Net Inference with Mobile GPUs

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1907.01989.

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

pith.paper-citation-record.v1
1907.01989 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:58:50.142559Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T16:18:59.659088Z

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 2a0f5617-e628-427f-8c59-a7f86c1579a8 · inbound

FluidML: Fast and Memory Efficient Inference Optimization cites this paper.

FluidML: Fast and Memory Efficient Inference Optimization On-Device Neural Net Inference with Mobile GPUs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.500865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b0df72-a44b-4fbb-8107-0444899572b8 · inbound

CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices cites this paper.

CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices On-Device Neural Net Inference with Mobile GPUs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T13:22:31.051248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 160d5f16-36a0-4826-8718-77ecbb529700 · inbound

"It was Mentally Painful to Try and Stop": Design Opportunities for Just-in-Time Interventions for People with Obsessive-Compulsive Disorder in the Real World cites this paper.

"It was Mentally Painful to Try and Stop": Design Opportunities for Just-in-Time Interventions for People with Obsessive-Compulsive Disorder in the Real World On-Device Neural Net Inference with Mobile GPUs

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:18:59.663129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9eede962-59b1-40bd-98c4-1978b20c504e · inbound

NavSight in the Wild: Understanding Real-World Use of a Mobile Augmented Reality Application for People with Low Vision in Outdoor Navigation cites this paper.

NavSight in the Wild: Understanding Real-World Use of a Mobile Augmented Reality Application for People with Low Vision in Outdoor Navigation On-Device Neural Net Inference with Mobile GPUs

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T23:58:50.142559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.