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Paper Citation Record · LEDGER

On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.15246.

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

pith.paper-citation-record.v1
2409.15246 v3

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:35:15.109989Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:56:53.011611Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 be6b2851-ddf5-4edc-adda-a0d94733ee14 · inbound

GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image Classification cites this paper.

GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image Classification On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T12:35:15.109989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:15.109989Z digest=sha256:7e748864dd22d2dab9b98a2b83729cba62ae55e56fb0c2df5737f15b23609cdd

Observation 5ff4b545-d758-49bc-b7b5-a2733d9cf13d · inbound

Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches cites this paper.

Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:56:53.023930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T15:56:48.273020Z digest=sha256:93fcc361443fdb80d98c573d0577407eac28871eb6beac3214d5e564ede62dc3