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Paper Citation Record · LEDGER

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2508.20415.

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

pith.paper-citation-record.v1
2508.20415 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:11:04.423111Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

38 of 38 outbound references displayed

  • verified exact15
  • verified fuzzy2
  • unresolved12
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 524ec320-ac84-433a-82c7-3c6171bdbedf · outbound

This paper cites SAD: Segment Any RGBD.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection SAD: Segment Any RGBD

Reference 1

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Observation 3befc5a3-a963-4472-8ab0-01e6a82c651e · outbound

This paper cites In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2

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Observation cd9a7346-81ae-4594-89cc-970603e9e343 · outbound

This paper cites Reverse Attention for Salient Object Detection.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Reverse Attention for Salient Object Detection

Reference 3

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Observation 6ce58fac-013b-4e82-b07d-37e2964c0b1d · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine In- telligence 37(3),569–582(2015).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection IEEE Transactions on Pattern Analysis and Machine In- telligence 37(3),569–582(2015)

Reference 4

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Observation 799accc5-96a2-43e7-9b50-9ed67e8826f0 · outbound

This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 5

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Observation 9bd9aafe-d5fb-4306-8e94-041e6899a313 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 41(4), 815–828 (Apr 2019).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection IEEE Transactions on Pattern Analysis and Machine Intelligence 41(4), 815–828 (Apr 2019)

Reference 6

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Observation e574a408-90a4-46b7-820c-a18167f58739 · outbound

This paper cites In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.M.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.M

Reference 7

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Observation 0b72bc12-09b9-40c9-9a4a-f0c75f0c4906 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Adam: A Method for Stochastic Optimization

Reference 8

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Observation 43f0c271-b746-4c4b-8ff6-d4b26dbeef52 · outbound

This paper cites In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 9

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Observation 265a7c12-3d7b-46f6-9f96-1e729527c9aa · outbound

This paper cites The Secrets of Salient Object Segmentation.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection The Secrets of Salient Object Segmentation

Reference 10

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Observation 7415ebc2-f327-425f-942d-3cd568e26c80 · outbound

This paper cites https://doi.org/ 10.1109/CVPR.2019.00404.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection https://doi.org/ 10.1109/CVPR.2019.00404

Reference 11

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Observation d112849b-3cf2-4442-80c1-9d37cd65b213 · outbound

This paper cites IEEE Transactions on Image Processing29, 6438–6451 (2020).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection IEEE Transactions on Image Processing29, 6438–6451 (2020)

Reference 12

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Observation 5d60d1a4-8f36-469e-9931-ef8ab3260489 · outbound

This paper cites In: 2020 IEEE/CVF Conference on Computer Vision and Pat- tern Recognition (CVPR).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2020 IEEE/CVF Conference on Computer Vision and Pat- tern Recognition (CVPR)

Reference 13

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Unavailable: canonical work link unavailable.

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Observation 78ee0db0-f392-4889-80ce-828a2b6ca4be · outbound

This paper cites Visual Saliency Transformer.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Visual Saliency Transformer

Reference 14

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 54252bd4-bd5b-47a5-ba81-73bfbef78caa · outbound

This paper cites In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 15

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Observation 91cf66e8-6f67-46ff-a79b-876f8686615b · outbound

This paper cites IEEE Transac- tions on Circuits and Systems for Video Technology 35(2), 1041–1054 (2025).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection IEEE Transac- tions on Circuits and Systems for Video Technology 35(2), 1041–1054 (2025)

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 50c7777c-8332-4efb-b3be-6907f5d7105f · outbound

This paper cites In: 2010 IEEE Computer Society Confer- ence on Computer Vision and Pattern Recognition - Workshops.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2010 IEEE Computer Society Confer- ence on Computer Vision and Pattern Recognition - Workshops

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bbf11857-f9a8-460b-be98-3b9444711fab · outbound

This paper cites Multi-scale Interactive Network for Salient Object Detection.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Multi-scale Interactive Network for Salient Object Detection

Reference 18

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Observation 415f54b5-0583-4243-a935-90856ece25f4 · outbound

This paper cites In: 2019 IEEE/CVF International Con- ference on Computer Vision (ICCV).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2019 IEEE/CVF International Con- ference on Computer Vision (ICCV)

Reference 19

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8cac2f6c-b55d-4307-8b4b-51e90cfcf8d0 · outbound

This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 20

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Observation ff841169-e4ad-4aac-b7da-1aa2e9e03ec5 · outbound

This paper cites IEEE Transactions on Image Processing26(5), 2274–2285 (May 2017).https://doi.org/10.1109/tip.2017.2682981, http://dx.doi.org/ 10.1109/TIP.2017.2682981.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection IEEE Transactions on Image Processing26(5), 2274–2285 (May 2017).https://doi.org/10.1109/tip.2017.2682981, http://dx.doi.org/ 10.1109/TIP.2017.2682981

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9d2d6052-5776-4d27-875f-9b32fb1ced43 · outbound

This paper cites Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Reference 22

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 65555de6-098b-474b-b452-77b87e82774c · outbound

This paper cites In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 23

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Observation c3148223-e768-4bc2-860b-177107099d3f · outbound

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Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Unresolved cited work

Reference 24

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Observation b86fb065-4a9b-4abe-ade3-ece7beb83fd7 · outbound

This paper cites Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

Reference 25

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Observation f781fd9c-0f9d-4b08-9d05-726410f67042 · outbound

This paper cites F3Net: Fusion, Feedback and Focus for Salient Object Detection.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection F3Net: Fusion, Feedback and Focus for Salient Object Detection

Reference 26

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Unavailable: canonical work link unavailable.

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Observation 59ae2354-be29-4fe8-adb4-76f10afcf1c0 · outbound

This paper cites Label Decoupling Framework for Salient Object Detection.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Label Decoupling Framework for Salient Object Detection

Reference 27

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d5e9e8b0-8a04-4e08-a988-c064291e4a85 · outbound

This paper cites Cascaded Partial Decoder for Fast and Accurate Salient Object Detection.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 021d5cd4-3333-4805-b6f8-3e24f5bf1ea2 · outbound

This paper cites Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0444d6e7-2e12-41bc-8da9-89f5ee958cc0 · outbound

This paper cites In: 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2013 IEEE Conference on Computer Vision and Pattern Recognition

Reference 30

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c750733a-c5e9-40e3-90ef-bd76daea64ce · outbound

This paper cites In: 2013 IEEE Conference on Computer Vision and Pat- tern Recognition.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2013 IEEE Conference on Computer Vision and Pat- tern Recognition

Reference 31

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Unavailable: canonical work link unavailable.

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Observation 4b91e20b-7691-428e-8955-fa8de2b05ab4 · outbound

This paper cites In: Ide, I., Kompatsiaris, I., Xu, C., Yanai, K., Chu, W.T., Nitta, N., Riegler, M., Yamasaki, T.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: Ide, I., Kompatsiaris, I., Xu, C., Yanai, K., Chu, W.T., Nitta, N., Riegler, M., Yamasaki, T

Reference 32

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raw_fallback, observed 2026-08-05T15:11:06.278925Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dbc7f7a1-6c5c-4294-a414-82e024198e0f · outbound

This paper cites IEEE Transactions on Image Processing34, 2301–2314 (2025).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection IEEE Transactions on Image Processing34, 2301–2314 (2025)

Reference 33

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Unavailable: canonical work link unavailable.

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Observation 60bac2bd-526b-4d7c-898a-401f6f92558f · outbound

This paper cites IEEE Transactions on Image Processing 30, 8727–8742 (2021).https://doi.org/10.1109/tip.2021.3116793, http://dx.doi.org/10.1109/TIP.2021.3116793.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection IEEE Transactions on Image Processing 30, 8727–8742 (2021).https://doi.org/10.1109/tip.2021.3116793, http://dx.doi.org/10.1109/TIP.2021.3116793

Reference 34

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T15:11:04.824238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:11:04.404746Z digest=sha256:7b415bd3b14cdd4008823ae30b6ee6814f63a3fc94e69adf5e466fc77d1ba74c

Observation 9494f4eb-4776-4e44-bd79-3f7f35d1e781 · outbound

This paper cites In: 2017 IEEE International Conference on Computer Vision (ICCV).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2017 IEEE International Conference on Computer Vision (ICCV)

Reference 35

Resolution
verified exact
doi, observed 2026-08-05T15:11:04.477969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:11:04.409621Z digest=sha256:9f1778c9477cd778d5fbbd07e587a150c9c87cd0b833cb9c64b26a56dbc8467e

Observation 769306c4-40fd-4c91-b0f6-2e0d8e6e6b16 · outbound

This paper cites In: 2019 IEEE/CVF International Con- ference on Computer Vision (ICCV).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2019 IEEE/CVF International Con- ference on Computer Vision (ICCV)

Reference 36

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:11:04.748598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:11:04.414041Z digest=sha256:d2b30baff1c55564e6ea1a4bb117e95f0b7bbfcdfa061a5f6cf3f27052886eb1

Observation f7e7c101-8be1-4e39-b09e-b0cf4a9f33c1 · outbound

This paper cites Computational Visual Media 7(1), 37–69 (Mar 2021).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Computational Visual Media 7(1), 37–69 (Mar 2021)

Reference 37

Resolution
verified exact
doi, observed 2026-08-05T15:11:04.462042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:11:04.418656Z digest=sha256:fef56d08cc2ad5df9c22ecbc4cada87e405d828a5c33b66d24e2819157ed6316

Observation be37c1f5-46ba-4f10-a768-2d7e3321a49e · outbound

This paper cites In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T15:11:04.423111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:11:04.423111Z digest=sha256:14d1ccb39ff839d1c09f8026c936cc57096abfb70b0be808533d744653ecaa10

Pith citing papers

No inbound Pith citation observations are available.