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Paper Citation Record · LEDGER

Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.17108.

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

pith.paper-citation-record.v1
2407.17108 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:58:51.587359Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:18:45.878041Z

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 f00a38e7-5be7-421c-a3fb-d61509b19b28 · inbound

Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements cites this paper.

Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks

Reference 131

Resolution
unresolved
no resolver link, observed 2026-08-10T19:58:51.587359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:58:51.587359Z digest=sha256:70b52845d7a06a15c52ea0150e86471ba9628c4012ebecb4729e98127ce5f534

Observation 3c251fd8-d021-4b21-9892-fcd6ed8e5a32 · inbound

A Quantum-assisted Attention U-Net for Building Segmentation over Tunis using Sentinel-1 Data cites this paper.

A Quantum-assisted Attention U-Net for Building Segmentation over Tunis using Sentinel-1 Data Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:18:45.997204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:18:45.270566Z digest=sha256:27681a76dac2495f190c140e7bd59f3e7fb99f8dd0f9da591040cf76e192fc50