Paper Citation Record · LEDGER

Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.17749.

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

pith.paper-citation-record.v1
2406.17749 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:01:33.866260Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:18:32.391844Z

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 d2c3a966-9412-4169-98e4-96c015df6412 · inbound

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs cites this paper.

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T11:33:29.631261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 285bb1d6-6642-49c0-a3d4-fd5fef8e0e45 · inbound

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning cites this paper.

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:33.866260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b52427-d430-4a2a-a55c-401a6993ca7d · inbound

FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free cites this paper.

FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T12:23:53.313409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bf8afca-9d3d-4670-8ca5-9ad07218105d · inbound

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications cites this paper.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:32.393961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80a6b680-5e7c-4089-82b5-c138b992fcbd · inbound

TS-MAMP: A Remanufactured Agricultural Robot Powered by Second-Life EV Components and NMS-Free On-Device Weed Detection cites this paper.

TS-MAMP: A Remanufactured Agricultural Robot Powered by Second-Life EV Components and NMS-Free On-Device Weed Detection Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T10:17:15.612808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.