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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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=sha256:45cff289687652d42766d18ce2276c479da9db2d5eaae203033b5cf6e4347771

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=sha256:9c3562f3425a84813811314b454744645bf59d3c2cb7026cf547cdda093d037c

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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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:f93465d9bb100a86c3583df2c5d955a5f119ccc334b12dcf7557296d5f4373d2

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:eb5314c984c0c81c8b052aa308cf5ca622ded53cd58b9b8a42382406bcd08107

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=sha256:86561cbf7a0de3ce90cc0402b4a2ba8951c4e01f7e645c557b79abe291a90626

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:f91b262bfe245378ed17ee1684bf93d31002c49114b075e1f568ec75c48481dd

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:b7a7e20560a9e913d3fddd36b32095a9dab68c87391bf3ff767976b240757c28

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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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:b5525c16a571810d1775797a5dcf14c4be4291d292133fac034215067ec00e55

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=sha256:8618c75c41b7371244d3a8d4061811722489c6aa135943b52e82f5edd392683c

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=sha256:795000c1b99fc41f17bd0f6b8981b8da20f678a2af10863fcd3c18cee22eed17

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:f44cb8a08169ab9e463304af3c0768e929f1b3aa8a94e164b3ce43b9a07a3934

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=sha256:83fdfc2b1b5d10a020aaaaa879105185c29a4b8e631d2d449d1f6d9736bd435c

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=sha256:960db2b03be048614cdc720288dc5a3e4c2c3b14a40defa712f744173d6cba8c

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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local_arxiv, observed 2026-07-04T03:39:30.687015Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:034e6c39286b2e2f72809274d31a241f1e1d6220998bd9401784ebaa5a706f3e

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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local_arxiv, observed 2026-07-04T03:39:30.691025Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:a63d45acecbb43f70f2daaee2b5791d2a498f4c7a8878efd705446dd9ffa16e9

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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source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:51ead4a5b515384120e8d8a9f909543e73144bdd28ff39ff3f5b4f9ac1617d81

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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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:39557ac3f1be8c56395a45c620d437a26aafb06cc4c8151d0f27a5158dd5e7b8

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=sha256:65392b9297a578949ebfdf842170e46b870f39373497944cc8d61aa4e4597b26

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=sha256:9259384b0f1639a8f240b1db53c9717b8c57a3e2f1dda410d1228cb2de8ebd5a

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:bb7bffdec67dedb4bd1abd6b919b99857e70aedc9e1809d75ca586f2cc4150c5

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=sha256:6f75a23fe44c944f84896077606fb48c62a91ef8fdb7c6fbbfbb4b461855c97c

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:a68b1692c4af835fd65c97a469caa25b9c79bd1c1345791819822168d9ed58e4

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=sha256:78404a9bb3340490ea4807da6d334751f5e25960cf4903a42cb851b46241a36a

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=sha256:761478b43909d0a1dff9213a8e5d0c79fc7580dd23cc37c3ef9f4cc55827b0f7

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:d2b494246f66609c8f650f9a012e452fe234531235ded88b0fef945423a946b8

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=sha256:653721dfe227471647a445cc76c23780c2ad2b137eedc224e9a26f8b7abaacf2

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=sha256:3604ffd1a0544e6a104fe5a0b630769b24ba15aa146fafa49a4d13a4238d7802

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=sha256:0303c42464c30b6b654fecc429cb524499af4845f3f007b2b4e2e1229feba4be

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:a3e5cacd69b5d994d00e120a2800ff31eb750ade032f962827c366392278318e

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:ff59db8698074395a18a8ea28d1e1653e592d23284c789c90026f4019da1a9f4

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=sha256:3bd0fef00c6a5399fe1118098331d633ed9770851db70121464a3509ea008b1e

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=sha256:516c01b95d1f38e4118652d07d3df68677eac326d3acb26e627c94cafeeaa3d2

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=sha256:3d3bfae95f6dd53e14d578d52fddfa2d2859805dd4c21e477772c0259d9a3686

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=sha256:0676bb878ab918cdafa8352cc0f86f8d6a0334eac6684d8d78a1fe85a76a66f6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T17:45:54.245306Z digest=sha256:45cff289687652d42766d18ce2276c479da9db2d5eaae203033b5cf6e4347771