Paper Citation Record · LEDGER

Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1805.12219.

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

pith.paper-citation-record.v1
1805.12219 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:23:28.121287Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:31:06.211643Z

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 449f19ce-eb60-45bc-838a-20384790a4d3 · inbound

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models cites this paper.

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:23:28.121287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c3e37b9-111e-4d68-90ff-a01c4cdf949f · inbound

Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal cites this paper.

Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-06T16:54:17.583707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5cc60e3-4653-43aa-89da-3967fecea761 · inbound

Four decades of circumpolar super-resolved satellite land surface temperature data cites this paper.

Four decades of circumpolar super-resolved satellite land surface temperature data Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T21:02:03.012193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e463ad14-aa1e-4008-8777-900fc2ed3f9d · inbound

A Deep U-Net Framework for Flood Hazard Mapping Using Hydraulic Simulations of the Wupper Catchment cites this paper.

A Deep U-Net Framework for Flood Hazard Mapping Using Hydraulic Simulations of the Wupper Catchment Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T23:25:04.578775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f75f7017-abaf-4693-96b2-55f5fc254e6c · inbound

Remote SAMsing: From Segment Anything to Segment Everything cites this paper.

Remote SAMsing: From Segment Anything to Segment Everything Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:25:04.578775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4b2a23e-0ec7-400e-aa9a-248878b31e05 · inbound

From Machine Learning to Large-Scale EO Products: Best Practices for Making Maps cites this paper.

From Machine Learning to Large-Scale EO Products: Best Practices for Making Maps Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T15:29:40.335644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.