Paper Citation Record · LEDGER

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation

As of 5 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 2 inbound Pith citation observations for arXiv:2604.18721.

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

pith.paper-citation-record.v1
2604.18721 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:09:49.136433Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T17:15:03.269782Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact3
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5f04d61-ad7c-4afb-8ef1-ae07acfcbe19 · outbound

This paper cites Semantic segmentation of remote sensing imagery using an enhanced encoder-decoder architec- ture.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Semantic segmentation of remote sensing imagery using an enhanced encoder-decoder architec- ture

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.887462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 53f40a9c-1aba-4a27-b5e1-6abcf04f453b · outbound

This paper cites Encoder-decoder with atrous separable convolution for se- mantic image segmentation.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Encoder-decoder with atrous separable convolution for se- mantic image segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.889239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bb824fa5-9e39-4b6b-89cc-29102bc9be32 · outbound

This paper cites Attention is all you need.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Attention is all you need

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.892711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00f2e674-d65f-4cfb-864a-09441df52887 · outbound

This paper cites UNetFormer: A unet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation UNetFormer: A unet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.885714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 034019ce-9825-45b1-bfb1-cf956b564088 · outbound

This paper cites Enhanced scannet with cbam and dice loss for semantic change detection.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Enhanced scannet with cbam and dice loss for semantic change detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.880163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4c58e127-49e6-4070-bb94-bfc68a059b5c · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:14:08.338550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 379719e4-906f-4272-82ef-541eeddff28c · outbound

This paper cites RS-Mamba for Large Remote Sensing Image Dense Prediction.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation RS-Mamba for Large Remote Sensing Image Dense Prediction

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T03:14:08.335991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 69f175a6-f9d0-4b81-9082-c26891cdcdf0 · outbound

This paper cites Samba: Semantic segmentation of remote sensing images with state space model.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Samba: Semantic segmentation of remote sensing images with state space model

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.891030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 448d0dfc-8821-47dc-9bb9-365a5f15935b · outbound

This paper cites Mamba-fcs: Joint spatio-frequency feature fusion and sek- inspired loss for semantic change detection.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Mamba-fcs: Joint spatio-frequency feature fusion and sek- inspired loss for semantic change detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.878074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 481faaaf-e6f1-4641-bc7d-53c48acd4eac · outbound

This paper cites Precision spatio-temporal feature fusion for robust remote sensing change detection.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Precision spatio-temporal feature fusion for robust remote sensing change detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.882024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10db7ba7-9695-42a6-9485-f73251e09d86 · outbound

This paper cites VMamba: Visual State Space Model.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation VMamba: Visual State Space Model

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:23:07.453206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 501297a7-ec41-40b8-a591-27eb95677854 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:14:08.340991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c506f2ed-c75e-4497-8134-104089688260 · outbound

This paper cites Spatial- mamba: Effective visual state space models via structure-aware state fusion.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Spatial- mamba: Effective visual state space models via structure-aware state fusion

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.873399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 250bfd4c-be53-4572-baf1-43514e2ec0d9 · outbound

This paper cites LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.883866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 75bc304d-3299-49a3-8237-3ea9e3071df8 · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation U-Net: Convolutional networks for biomedical image segmentation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.875568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 27d5ae7e-2033-4f69-af07-901436c196dc · outbound

This paper cites The ISPRS benchmark on urban object classification and 3D building reconstruction.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation The ISPRS benchmark on urban object classification and 3D building reconstruction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.896143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 592aa5e6-a75f-4a2f-a8e5-78d8ecab8b61 · outbound

This paper cites Decoupled weight decay regular- ization.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Decoupled weight decay regular- ization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.897871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3951f5c-9667-4c9f-bd95-c63ac9bdc1bb · outbound

This paper cites The Lov ´asz- softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation The Lov ´asz- softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.899631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 49d9e9da-191b-488b-a6e4-d8070192a162 · outbound

This paper cites Focal loss for dense object detection.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation Focal loss for dense object detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:05:01.894416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 671bed3a-3449-4b5c-b991-49ae71532aaf · inbound

MambaRefine-CD: MambaVision with Region-Boundary Temporal Refinement cites this paper.

MambaRefine-CD: MambaVision with Region-Boundary Temporal Refinement A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T19:26:25.539512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7580d68c-63ca-4d4c-8310-40c279f3c234 · inbound

A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting cites this paper.

A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-30T17:15:03.269782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.