Paper Citation Record · LEDGER

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.21050.

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

pith.paper-citation-record.v1
2607.21050 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:39:12.464862Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e08f86b0-0512-4d14-b592-a09bfa7d17fa · outbound

This paper cites an unresolved cited work.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:09.576778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25c038fe-3475-49a9-8c59-26b6afe74154 · outbound

This paper cites an unresolved cited work.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Unresolved cited work

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-01T08:39:09.681176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55795ff1-f46c-4b6b-b2f9-0697bf79092f · outbound

This paper cites SpectralEarth-FM: Bringing Hyperspectral Imagery into Multimodal Earth Observation Pretraining.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark SpectralEarth-FM: Bringing Hyperspectral Imagery into Multimodal Earth Observation Pretraining

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:09.763648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b26354-306f-4f15-a3a9-92af5246bf40 · outbound

This paper cites HyperFree: A channel-adaptive and tuning- free foundation model for hyperspectral remote sensing imagery[C]//Proceedings of the Computer Vision and Pattern Recognition Conference.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark HyperFree: A channel-adaptive and tuning- free foundation model for hyperspectral remote sensing imagery[C]//Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:09.920171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a4714b-0c9c-465e-892a-fb839297780e · outbound

This paper cites an unresolved cited work.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Unresolved cited work

Reference 5

Resolution: verified exact; doi, observed 2026-08-01T08:44:11.179128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd0ae95b-0964-4d51-b676-8e472f33d470 · outbound

This paper cites A collection of data for urban area characterization.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark A collection of data for urban area characterization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:10.203645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b66f4227-673a-4a81-948e-5b9c87f6edb1 · outbound

This paper cites C., Crawford, M.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark C., Crawford, M

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:10.343616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4957f83-b45a-4e98-abaa-39809b57aaf2 · outbound

This paper cites F., Biehl, L.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark F., Biehl, L

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:10.485519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cabf5f11-5c06-4f34-8eaf-c762f7bf025e · outbound

This paper cites an unresolved cited work.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Unresolved cited work

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-08-01T08:39:10.693764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37452108-9558-4bba-8718-f3af76243e7c · outbound

This paper cites 2018 IEEE GRSS Data Fusion Challenge – Fusion of Multispectral LiDAR and Hyperspectral Data.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark 2018 IEEE GRSS Data Fusion Challenge – Fusion of Multispectral LiDAR and Hyperspectral Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:10.873438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c18b2fd7-e170-44d8-b8be-3f81ec894b15 · outbound

This paper cites an unresolved cited work.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:11.002480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008e25aa-279d-4372-8f87-ea8751348ffa · outbound

This paper cites an unresolved cited work.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:11.192422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f99f1f-0d92-439a-a625-99b73047a969 · outbound

This paper cites Zhong, X.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Zhong, X

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:11.355431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359f2482-2850-4d31-b58c-3a1365b26f28 · outbound

This paper cites an unresolved cited work.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:11.498492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12a0e237-98b5-46d1-aee9-eafada733f74 · outbound

This paper cites Segment anything[C]//Proceedings of the IEEE/CVF international conference on computer vision.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Segment anything[C]//Proceedings of the IEEE/CVF international conference on computer vision

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:11.669910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87d565a9-5ce8-418c-895f-cf7032fb22e5 · outbound

This paper cites Gradient -based learning applied to document recognition,.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark Gradient -based learning applied to document recognition,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:11.879474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a73d99e-52fb-4455-964f-1cdb675c5336 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation[C]//International Conference on Medical image computing and computer-assisted intervention.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark U-net: Convolutional networks for biomedical image segmentation[C]//International Conference on Medical image computing and computer-assisted intervention

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:12.083877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57474ba5-327b-442c-909e-0f172a71ea3a · outbound

This paper cites HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification,.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:12.237561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 264fdea1-3bc5-4fe4-9dbf-ee4f6b725069 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:12.357296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6f6826f-63d2-4ec9-994b-84d640ebcc28 · outbound

This paper cites FPGA: Fast patch-free global learning framework for fully end -to-end hyperspectral image classification[J].

HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark FPGA: Fast patch-free global learning framework for fully end -to-end hyperspectral image classification[J]

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:12.464862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.