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Paper Citation Record · LEDGER

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2606.20282.

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

pith.paper-citation-record.v1
2606.20282 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:45:54.245306Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:45:54.245306Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T03:39:30.675926Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5afc50b-2228-4f24-892e-d422f8688cb9 · outbound

This paper cites U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection

Reference 1

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:7cec3299c58a872df877527033eeeb5137f65c23d6090c8fea7ca2e91d1a03c1

Observation c8819866-b515-4c21-8f84-aa0c244dc05a · outbound

This paper cites an unresolved cited work.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Unresolved cited work

Reference 2

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:7e9506a44b76d522a9a8b33a2fc7493102db67462e7ff4a33e971778d6b93f6f

Observation f130ba2f-e428-42b2-946f-8c0df5f805d9 · outbound

This paper cites an unresolved cited work.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Unresolved cited work

Reference 3

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Observation fe8674bb-e293-4ae0-b394-3d3b5404f739 · outbound

This paper cites an unresolved cited work.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Unresolved cited work

Reference 4

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:cc39516c7916af0094ed9cfa312c1349ad604222caf08844e36dcd3de27966f6

Observation 122fb90f-3257-471a-aa04-3d535d955119 · outbound

This paper cites The entire architecture of U2Mamba is then presented, which includes a multiscale Mamba mechanism and a stacked U-Net-like structure.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection The entire architecture of U2Mamba is then presented, which includes a multiscale Mamba mechanism and a stacked U-Net-like structure

Reference 5

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:a9a602ad24a716133372ec441c928c263ff806858c2a770e354c275cbcc040d7

Observation 87fc020f-6b86-40d6-ab35-56551bf5ebc4 · outbound

This paper cites Datasets and Metrics We train our network on DUTS-TR, which has 10553 images in total.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Datasets and Metrics We train our network on DUTS-TR, which has 10553 images in total

Reference 6

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:773435b5d5bd15d7e6b1618829debd78eff5433d8df804cb64fdde34a6a86706

Observation 00049c71-513e-47c5-9301-a5dd8c330a33 · outbound

This paper cites Our developed multi- scale Mamba U structure block (MMUB) is integrated into each stage of U2-Mamba.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Our developed multi- scale Mamba U structure block (MMUB) is integrated into each stage of U2-Mamba

Reference 7

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:bd7b759d1b1139e9b12887b15b5b66e60a379380e35a305573c4b559a8570121

Observation d7a9b641-6d31-476b-8313-2f34672d8a95 · outbound

This paper cites Review the state-of-the-art technologies of semantic segmentation based on deep learning,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Review the state-of-the-art technologies of semantic segmentation based on deep learning,

Reference 8

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Observation ad89f32d-deec-453c-9435-6dbcf0f5dee5 · outbound

This paper cites Fcn-based approach for the automatic segmentation of bone surfaces in ultrasound images,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Fcn-based approach for the automatic segmentation of bone surfaces in ultrasound images,

Reference 9

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:35c41f21445f4aa3fce0d972bec32da79cd7618a0c350e215738ec99eeed5412

Observation ab7ae61c-a336-4d6b-8fef-7e0ad24d7eed · outbound

This paper cites Neighborhood attention transformer,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Neighborhood attention transformer,

Reference 10

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:b84fb181db3c0f430ad4162bf950906fdc0152bc4df2326b59ae3508bc8be64b

Observation 57e013b0-27da-45e7-8d47-c7c6b7f806e2 · outbound

This paper cites Swin transformer: Hi- erarchical vision transformer using shifted windows,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Swin transformer: Hi- erarchical vision transformer using shifted windows,

Reference 11

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:74a4e675f964813277dd8c65a0f292dcdfb4660db9001d2c9e94912ad205916f

Observation 404587c5-3a82-457c-b9c3-6ff69ae72cdf · outbound

This paper cites Ssnet: A novel transformer and cnn hybrid network for re- mote sensing semantic segmentation,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Ssnet: A novel transformer and cnn hybrid network for re- mote sensing semantic segmentation,

Reference 12

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:cb572c7dcc50634911f1e71efd38ba0d36f29ea9dd04215c4ac029fca312671e

Observation 648d3375-5f39-4afd-b745-cd16b5af09fb · outbound

This paper cites A survey on visual mamba,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection A survey on visual mamba,

Reference 13

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:a37fb93b0b6117654a2417c198e1b0acd401b05e9fcd70805cfe8ba4a5ca459e

Observation 330da7f1-30f0-439a-95bb-e10f1cc39ca1 · outbound

This paper cites VMamba: Visual State Space Model.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection VMamba: Visual State Space Model

Reference 14

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Observation d897a902-1b71-4d52-9997-24bab6f724af · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 15

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:e65ed6bff25b154a8e1235e67cd0123879a63fe5291db5252eb662c3fc30c2a5

Observation 54b3b139-00ad-4441-88c6-b06582965bc9 · outbound

This paper cites Mambasod: Dual mamba-driven cross-modal fusion network for rgb-d salient object detection,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Mambasod: Dual mamba-driven cross-modal fusion network for rgb-d salient object detection,

Reference 16

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Observation 6692222a-91af-4dae-b285-0297ff410adb · outbound

This paper cites U-shaped Vision Mamba for Single Image Dehazing.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection U-shaped Vision Mamba for Single Image Dehazing

Reference 17

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arxiv_id, observed 2026-07-04T03:39:30.683221Z

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:f2271206e3b2fb84bcc921f8f5cdcbe24ce87f36ae7f46e26fe93f57d37778ba

Observation 783004ba-490d-461d-ab38-fff624fdec09 · outbound

This paper cites Uiu-net: U- net in u-net for infrared small object detection,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Uiu-net: U- net in u-net for infrared small object detection,

Reference 18

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:0a89dba1f144dbef6dece73c6ad2c7c1cf862e847364812196e31674ce41da4a

Observation b2cd5efe-51df-4e98-adf2-f9286fa929b0 · outbound

This paper cites U2-net: Going deeper with nested u-structure for salient object detection,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection U2-net: Going deeper with nested u-structure for salient object detection,

Reference 19

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:57e2edaedcce9229785e27669c1e54cf42ad2af76f060ec3a8eef09cc69320eb

Observation 99ac83d7-e02b-42c9-b990-721f2023fda0 · outbound

This paper cites U2-onet: A two-level nested octave u- structure network with a multi-scale attention mechanism for moving object segmentation,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection U2-onet: A two-level nested octave u- structure network with a multi-scale attention mechanism for moving object segmentation,

Reference 20

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:b947dbcc1d7eec91588431e0bef6e26286618df9524313953c06f8a221809f37

Observation 8918fc6b-b052-4c0e-b637-9713a87f8f43 · outbound

This paper cites Hierarchical saliency detection,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Hierarchical saliency detection,

Reference 21

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:9f77fe46860275e88ca056c464bf998bd7b70b3f54a8226bbd10c489234d306b

Observation 9ae008cb-787e-4c45-9c90-2290552d0511 · outbound

This paper cites The secrets of salient object segmentation,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection The secrets of salient object segmentation,

Reference 22

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:1ba276de74c286bc234e74e3ed3933f79bdf39f4769bc602b3eeca793fdad9c4

Observation cceb3b07-8f34-4194-8ce3-5506c8b8a167 · outbound

This paper cites Saliency detection via graph-based mani- fold ranking,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Saliency detection via graph-based mani- fold ranking,

Reference 23

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:c1080d043bf0ddcb8cc375698b257042bfbe8ce72966064a8f661dbeb206b7ad

Observation 700bb5a2-87f5-4e59-8660-febe54f9b433 · outbound

This paper cites Visual saliency based on multi- scale deep features,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Visual saliency based on multi- scale deep features,

Reference 24

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:cd062488a7c0cd7673e469ef4d1e7c8924954a912b3b9ef33882574df24a2030

Observation 622b09d8-e9b1-4222-b82c-a8d0169423a3 · outbound

This paper cites Learning to detect salient objects with image-level supervision,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Learning to detect salient objects with image-level supervision,

Reference 25

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:a2e49c1ba64786b83733ddbbe2cdfa2b08b9e39bceca8c53be1853d82a489d8a

Observation b210b09a-0f01-4e4f-a651-eedf35f14972 · outbound

This paper cites Boosting broader receptive fields for salient object detection,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Boosting broader receptive fields for salient object detection,

Reference 26

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:b85ae9101c83e6409378f9830ed100e05f3af03e97c805cd1df2f24d18a565e0

Observation 706a6d91-bedb-497a-9c55-dae0be16532a · outbound

This paper cites F 3net: fusion, feedback and focus for salient object detection,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection F 3net: fusion, feedback and focus for salient object detection,

Reference 27

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:d85472cd432dccf108ba0de4e2f51c3f2835aa3f660b2b5dd726186e6df3335b

Observation 68cbcac6-1a62-4fe1-8eba-ac9e0d0828f7 · outbound

This paper cites Recursive contour-saliency blending network for accurate salient object detection,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Recursive contour-saliency blending network for accurate salient object detection,

Reference 28

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:f60bc06901aa4882901054f93134da59786852b3607cde09676d03875143dbb9

Observation cc03499a-f925-4ac9-9d59-77128c8059d9 · outbound

This paper cites Msenet: Marbling score estimation network for automated assessment of korean beef,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Msenet: Marbling score estimation network for automated assessment of korean beef,

Reference 29

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:b0c6aea952cd21cf339bf9981e913c1e860a7f9cd51f926baf7f2c2ffcd48eed

Observation b7d5e46c-7904-4b93-a35c-ce830d30cb5e · outbound

This paper cites Label decoupling framework for salient object detec- tion,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Label decoupling framework for salient object detec- tion,

Reference 30

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:8edbeb386f0ce722ef5d2fce2e45b9d1340860fc72e460c7161f7709cbe4ca91

Observation c2fc5723-d0b3-4a85-9bc7-81835ff043ec · outbound

This paper cites Poolnet deep feature based person re-identification,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Poolnet deep feature based person re-identification,

Reference 31

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:f3ba82c1d324d1aba12fffc4e32c75ec10df4e2b39ba360825caeed907d016e4

Observation f4f60fca-f0fa-496f-bb65-a1691c5ff2ff · outbound

This paper cites Pixels, regions, and objects: Multiple enhancement for salient object detection,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Pixels, regions, and objects: Multiple enhancement for salient object detection,

Reference 32

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:b888b54aaf1957427b7e6ceceb0905b727f94ce83b23e769cf34ff204259d82b

Observation 6b95d80a-0bf8-4984-b16c-588850fc69c9 · outbound

This paper cites Visual saliency transformer,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Visual saliency transformer,

Reference 33

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:10407e010cf028724b9652758be699b27d3b74a78014198951cd7b972e8a3091

Observation 503c8e6b-eadc-4c28-a4e7-1b0cae66353a · outbound

This paper cites Vst++: Ef- ficient and stronger visual saliency transformer,.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection Vst++: Ef- ficient and stronger visual saliency transformer,

Reference 34

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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:14a06eb1829a50c56dbf67e0fe8e5f7ca0df0fbbdab6e9e679be34599c125acb

Pith citing papers

Observation d5afc50b-2228-4f24-892e-d422f8688cb9 · inbound

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection cites this paper.

U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection U$^2$Mamba: A Two-level Nested U-structure Mamba for Salient Object Detection

Reference 1

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local_arxiv, observed 2026-07-04T03:39:30.678037Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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