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Paper Citation Record · LEDGER

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli

As of 6 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2604.03526.

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

pith.paper-citation-record.v1
2604.03526 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T19:02:14.392628Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy55
  • unresolved2
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e73a86c-9d03-497c-8c7d-d87dfa9e6603 · outbound

This paper cites Frequency-tuned salient region detection.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Frequency-tuned salient region detection

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7937a57a-92e1-4534-bb51-0b4b23aa8087 · outbound

This paper cites Training-free open- vocabulary segmentation with offline diffusion-augmented prototype generation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Training-free open- vocabulary segmentation with offline diffusion-augmented prototype generation

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation a875e699-2482-4d3a-859f-d0fada4d3e7e · outbound

This paper cites Grounding everything: Emerging localization properties in vision-language transformers.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Grounding everything: Emerging localization properties in vision-language transformers

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation b7d2353c-0e50-40b2-9318-d321d2d4a1c9 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:8330819f07fd23c8d22306f5a43008a6b5bb7baf9af716ab604560b47feb0246

Observation 716ea00b-cecf-4afd-8509-f606dd3fe2b5 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2b575c6c-945a-4bd5-9a68-b7afec15d460 · outbound

This paper cites Human-like object concept representations emerge naturally in multimodal large language models.Na- ture Machine Intelligence, pages 860–875.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Human-like object concept representations emerge naturally in multimodal large language models.Na- ture Machine Intelligence, pages 860–875

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 64d23ebc-dec1-4713-a903-791fb13b487d · outbound

This paper cites an unresolved cited work.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Unresolved cited work

Reference 7

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2d078f41-544f-459a-bed5-e092bf495fd6 · outbound

This paper cites an unresolved cited work.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation cc4dd21f-c95d-43b4-a1e0-db9b0cb0b81a · outbound

This paper cites Seqrank: Sequential ranking of salient objects.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Seqrank: Sequential ranking of salient objects

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:6c6ff12c454587a62d324b63eab82608bc053f931f8a9f1a4c16848b271ee3f4

Observation 9e41329e-1959-4c67-8415-7105a28a0968 · outbound

This paper cites Deep learning-based image retrieval with unsupervised double bit hashing.IEEE TCSVT, pages 7050–7065.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Deep learning-based image retrieval with unsupervised double bit hashing.IEEE TCSVT, pages 7050–7065

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7c704c05-aca5-4b14-8ddd-ee539861b3fb · outbound

This paper cites Cnns-based rgb-d saliency detection via cross-view transfer and multiview fu- sion.IEEE Transactions on Cybernetics, pages 3171–3183.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Cnns-based rgb-d saliency detection via cross-view transfer and multiview fu- sion.IEEE Transactions on Cybernetics, pages 3171–3183

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 978989fb-5749-4f34-b7db-a028995edf3c · outbound

This paper cites Modeling context in refer- ring expressions.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Modeling context in refer- ring expressions

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation c36ed30e-5bf3-4778-b467-acb44ace4ebd · outbound

This paper cites Densely connected parameter- efficient tuning for referring image segmentation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Densely connected parameter- efficient tuning for referring image segmentation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:fc65a0859c3259134063a34397035abfc620f72ca85e383e30fdcb2f006341bd

Observation d328d4e0-9e9e-4e85-b114-e9774dc470ba · outbound

This paper cites Distilling spectral graph for object-context aware pen-vocabulary semantic segmen- tation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Distilling spectral graph for object-context aware pen-vocabulary semantic segmen- tation

Reference 14

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raw_fallback, observed 2026-05-14T03:20:30.790081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 47f42109-159d-47ae-a02d-70af2bcb48a7 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick

Reference 15

Resolution
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raw_fallback, observed 2026-05-14T03:20:30.689640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:5031901a1b81d7351494240ca4f7f999d8288208b527b6215c006ea38ebea610

Observation 0e8973a5-8918-4bf3-a526-defcda66d617 · outbound

This paper cites Clearclip: Decom- posing clip representations for dense vision-language infer- ence.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Clearclip: Decom- posing clip representations for dense vision-language infer- ence

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:3b0e612114ffac138d4768d54d1b63787b46fd75c6221980cbb2679523b65109

Observation e7c8ca99-5eb3-4083-a82e-dbbdce2e9ed7 · outbound

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

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Visual saliency based on multi- scale deep features

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation f31d7f9a-4ef6-4ce5-b570-e20527bb3e2e · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:8f6e9a2c8ea1af6f295795e16433edacdb73d166b7f62a4766bc8371d3cb464e

Observation 7cee84c2-eebf-4114-9184-179bd275639e · outbound

This paper cites Rehg, and Alan L.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Rehg, and Alan L

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation dfbfffd6-e2c1-48d8-8bb4-5ca4ef2da7f6 · outbound

This paper cites Flip: Scaling language- image pre-training via masking.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Flip: Scaling language- image pre-training via masking

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:38f836d2b62a2f7ac741475fe38ad47aef04e918a93e8892c04b2c6184668c14

Observation d475b2da-a312-474b-8677-1735f914b3f9 · outbound

This paper cites Instance-level relative saliency ranking with graph rea- soning.IEEE TPAMI, pages 8321–8337.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Instance-level relative saliency ranking with graph rea- soning.IEEE TPAMI, pages 8321–8337

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 01e5195e-002f-4083-8376-359e76e28380 · outbound

This paper cites Visual saliency transformer.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Visual saliency transformer

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.842283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 877b5893-e89a-423b-853d-8c929b211b36 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Swin transformer: Hierarchical vision transformer using shifted windows

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.773022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:97b4c983de591d98283b073768e11494a47a822cbbb44f2e01ae53d3f77f145f

Observation 91885714-c536-4a89-b0ce-80915484dfa7 · outbound

This paper cites Segclip: Patch aggregation with learn- able centers for open-vocabulary semantic segmentation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Segclip: Patch aggregation with learn- able centers for open-vocabulary semantic segmentation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.649875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 583e1ad2-513a-46e2-8bee-414f8cd4f61f · outbound

This paper cites Generative transformer for accurate and reliable salient object detection.IEEE TCSVT, pages 1041–1054.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Generative transformer for accurate and reliable salient object detection.IEEE TCSVT, pages 1041–1054

Reference 25

Resolution
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raw_fallback, observed 2026-05-14T03:20:30.781119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:24a95c8ca3eeedc73d3e6469ea809e5c674a6cbf78f79c507d6e51446e540b5e

Observation b874ab22-b690-4a89-bc09-5d560e9abe24 · outbound

This paper cites Vision-aware text features in referring image segmentation: From object understanding to context understanding.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Vision-aware text features in referring image segmentation: From object understanding to context understanding

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:b0c2709307d506e0d7e349f0ea17bc0021be89a97957bce99c66039a93c44eaf

Observation 027a89dd-1ca4-4db8-97c5-01113bd89ae9 · outbound

This paper cites Eov-seg: Efficient open-vocabulary panoptic segmentation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Eov-seg: Efficient open-vocabulary panoptic segmentation

Reference 27

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raw_fallback, observed 2026-05-14T03:20:30.711820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:608bd3a9482f93132ac794589ae5801cb04b82bffdba1d8052f1b4aad53f5e5f

Observation d04516d7-ac92-484f-bca0-06520427e26e · outbound

This paper cites Chatgpt.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Chatgpt

Reference 28

Resolution
parse uncertain
raw_fallback, observed 2026-05-14T03:20:30.721063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:b635a65ae052f6f9536b004f8219d217f89adc6084d8f162758707fd2f2913f8

Observation f18c78ab-48db-46db-a30e-8313f061c495 · outbound

This paper cites Multi-scale in- teractive network for salient object detection.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Multi-scale in- teractive network for salient object detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:03:09.236326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:bc2667e6e050251bcd8d213b2159ee85014491b00d0ef6a2b92779f9fe97319d

Observation e3fea1aa-4df5-40bb-bcc8-68cad0effc64 · outbound

This paper cites Hypersor: Context-aware graph hypernetwork for salient object ranking.IEEE TPAMI, pages 5873–5889.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Hypersor: Context-aware graph hypernetwork for salient object ranking.IEEE TPAMI, pages 5873–5889

Reference 30

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raw_fallback, observed 2026-05-13T19:03:09.227431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:b0d2137859427323965284544cf4b7a603203a71e05c2506d4be2d4810d1cec3

Observation a940a289-c0f6-4c69-86ff-aef8e746ce28 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Learn- ing transferable visual models from natural language super- vision

Reference 31

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raw_fallback, observed 2026-05-13T19:03:09.229172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:dd74e2ae7a0a42dabe491d74df6be8682e1671a1bb43e55ea62c4b90c3e005f9

Observation f4195629-5fc7-4038-9f4f-2b7fc134b385 · outbound

This paper cites Unifying global-local representations in salient object detection with transformers.IEEE TETCI, pages 1–10.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Unifying global-local representations in salient object detection with transformers.IEEE TETCI, pages 1–10

Reference 32

Resolution
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raw_fallback, observed 2026-05-14T03:20:30.673231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:20a68f81fb33c44cf0a3f88749c32e0622781955474153b9d1cec6036ed73e40

Observation 7db8630c-5024-44fb-899b-0133149b3600 · outbound

This paper cites Pushing the boundaries of salient object detection: A denoising-driven approach.IEEE TIP, 34:3903–3917.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Pushing the boundaries of salient object detection: A denoising-driven approach.IEEE TIP, 34:3903–3917

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:03:09.232609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:e0dc1fd3d7990028db1f8d65867d8a3631856f54f312a819e558473f116d5336

Observation 63939ab3-7bcc-4aef-bb88-d96737090967 · outbound

This paper cites Partitioned saliency ranking with dense pyramid trans- formers.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Partitioned saliency ranking with dense pyramid trans- formers

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:03:09.219539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:23bd702bca2e95762ef6faaceed33d88c815dbcf5a7835f01c20df09c8160b32

Observation 8206ab21-6a9b-43e3-bcda-7e58f9b08fa5 · outbound

This paper cites Conditional diffusion models for cam- ouflaged and salient object detection.IEEE TPAMI, pages 2833–2848.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Conditional diffusion models for cam- ouflaged and salient object detection.IEEE TPAMI, pages 2833–2848

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:03:09.221511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:904e1c5f8f4a0bb43c4f3f9ccba4bc77c125d86c8c33f8c4912a6b9f1615caaa

Observation 970d85de-7152-423e-9768-cce0c56839f7 · outbound

This paper cites Con- trastive grouping with transformer for referring image seg- mentation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Con- trastive grouping with transformer for referring image seg- mentation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:03:09.223398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:7c8f0769e35c55d2573b856610dfef558f48c3ca106bf1f61c51679f8c2b9036

Observation 5de7a64d-092f-41e0-8259-e44f98231d43 · outbound

This paper cites Bi-directional object-context prioritization learning for saliency ranking.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Bi-directional object-context prioritization learning for saliency ranking

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:03:09.225528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:a244bea0a54dea4fe46902e1f432089c500aba5a75694ee0fa6ea685af5dd063

Observation 3ed1854b-c00b-4873-a985-1956798b8430 · outbound

This paper cites Yolov8 documentation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Yolov8 documentation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:03:09.230820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:be0dc7777f1d669181037c86cfe69a4444f87aba1bea01083a5669edce184750

Observation 7e050519-97aa-40f9-8c02-529e4bc373f6 · outbound

This paper cites Sclip: Rethinking self-attention for dense vision-language inference.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Sclip: Rethinking self-attention for dense vision-language inference

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T19:03:09.238038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:9bb28e7586af76f8aab8c381a399a7f4acdb8ec24745a7f72ac0f45b510b42a5

Observation 27581717-d294-4401-9e93-ba1cd548f779 · outbound

This paper cites Declip: Decoupled learning for open- vocabulary dense perception.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Declip: Decoupled learning for open- vocabulary dense perception

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.751144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:6ef99a26b97d030c3472712f9102d37357a1a6ead55fe4db37047c93e694bf0f

Observation 47b52750-5d0f-4d26-9792-a782e72b2e89 · outbound

This paper cites Learning to de- tect salient objects with image-level supervision.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Learning to de- tect salient objects with image-level supervision

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.763554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:b4cd22eef5d7ccb00db1a7567b25ee024d51cb863c1c11907001a49ebd3e24b4

Observation 2830334b-f57b-4820-8126-aaec18544f4d · outbound

This paper cites Pixels, regions, and objects: Multiple enhance- ment for salient object detection.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Pixels, regions, and objects: Multiple enhance- ment for salient object detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.724926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:d49f9928dc6b56f2d750e540039ca9047eddebda52e567742eefe013b60a5bd3

Observation db70ca1d-b356-4471-bb02-10d641047e49 · outbound

This paper cites Iterprime: Zero-shot referring image segmen- tation with iterative grad-cam refinement and primary word emphasis.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Iterprime: Zero-shot referring image segmen- tation with iterative grad-cam refinement and primary word emphasis

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.807677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:226920511fe5252614a83a0209baad4797de9cb2b75769e2a91fc2587e2ae3eb

Observation 777906ac-283d-4562-92d0-67fbd3d34a53 · outbound

This paper cites Medsegdiff-v2: Diffusion-based medical image segmentation with transformer.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Medsegdiff-v2: Diffusion-based medical image segmentation with transformer

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.693884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:c834eddf0d8623f1a4166419a342909eebe0387a618efcf535d5bc0c4d984a3b

Observation 19e2d8c6-4249-4cfd-af02-fa1c0362bed8 · outbound

This paper cites Mobilesal: Extremely efficient rgb-d salient object detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 10261– 10269.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Mobilesal: Extremely efficient rgb-d salient object detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 10261– 10269

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.768168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:0e66111b190f40be304a532960c255d64c9157f767b19b9e0f64a89692e7be3f

Observation b6362e93-b241-4cf4-8d0e-6cc7f738571d · outbound

This paper cites Edn: Salient object detection via extremely-downsampled network.IEEE Trans- actions on Image Processing, pages 3125–3136.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Edn: Salient object detection via extremely-downsampled network.IEEE Trans- actions on Image Processing, pages 3125–3136

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.707417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:cd52f883b698a5a006aeca1a2ea3803060344e0358a869c4da15c9a7009efc6f

Observation cc7d67b1-125b-4021-8ae4-2a37c3ad36f9 · outbound

This paper cites Gsva: Generalized segmentation via multimodal large language models.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Gsva: Generalized segmentation via multimodal large language models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.824407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:27fcd82ef49d71e374b6c554d4ccf1e8c0f75656a69ea1136222a60cb350e6cd

Observation 1ae76fa7-ae05-47d3-8e86-2e1e6bc7d580 · outbound

This paper cites Bridging vision and language encoders: Parameter-efficient tuning for referring image seg- mentation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Bridging vision and language encoders: Parameter-efficient tuning for referring image seg- mentation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.697710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:26860aadf05570b381a5311a279089363f54b4bf8d6e951d9eba24baf6c1c7df

Observation 12d402b2-a670-4099-a06d-377849a3bd4f · outbound

This paper cites Generalized decoding for pixel, im- age and language.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Generalized decoding for pixel, im- age and language

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.737652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:08c854d664f4b28f8e6a0afa963bcafa2ac9f9088e15f66beea84ad9fca1e3f6

Observation 7911581f-dcb6-4527-b031-489847e23810 · outbound

This paper cites Hierarchical saliency detection.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Hierarchical saliency detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.759481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:221cef63e849acac698548bb0d99b2ee4f92af1111740f6f614f5c547cb8af21

Observation 606f3a86-20fd-41ae-85e6-583234a65306 · outbound

This paper cites Remamber: Referring image segmentation with mamba twister.ECCV, pages 108–126.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Remamber: Referring image segmentation with mamba twister.ECCV, pages 108–126

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.729162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:a9a1abead20e87a973de23a0a546d83b69ca2652491ca40c33b980d99b583db5

Observation 0246aae2-d28e-49f5-b1b6-c176b493ca61 · outbound

This paper cites Evaluating salient object detection in natural images with multiple objects having multi-level saliency.IET Image Processing, 14(10):2249–2262.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Evaluating salient object detection in natural images with multiple objects having multi-level saliency.IET Image Processing, 14(10):2249–2262

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.716491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:fff417b6e47d745d3e7357a1c37293166cb5383f77b2a23a2f21456f7ce1b6d0

Observation e8773864-267b-4817-85cc-274c149ec0dc · outbound

This paper cites Unified unsupervised salient object detection via knowledge transfer.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Unified unsupervised salient object detection via knowledge transfer

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.681283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:f8cef0db855721ecda50ac612997d31f74146e72e4e2436c97df69b9fb3c3e46

Observation 6f359ed0-62a4-4ce2-8add-4bd44993a837 · outbound

This paper cites Adaptive se- lection based referring image segmentation.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Adaptive se- lection based referring image segmentation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.785384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:c6f96a93c8e1cce7c86464534a90b541e198b6cde2d1a0b47f832176d3014c51

Observation b3ecc8a6-1eff-4810-abb1-bbe09f89a7f2 · outbound

This paper cites Position fusing and refining for clear salient object detection.IEEE TNNLS, pages 4019–4028.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Position fusing and refining for clear salient object detection.IEEE TNNLS, pages 4019–4028

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.645232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:0316a2c123fcdae1000d34e35cc3975f79577eb545b4f41de61ed98d05426144

Observation e47a0813-ae40-41d4-a853-a412664113ab · outbound

This paper cites Texture-guided saliency distilling for unsuper- vised salient object detection.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Texture-guided saliency distilling for unsuper- vised salient object detection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.733461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:5fb420a2a0d93cdbc60e9253baa61f9c966c74c0ac64c15bad2f9f93d7c6c3eb

Observation 5a5edd36-562a-40c7-a283-989571273f87 · outbound

This paper cites Priornet: Two deep prior cues for salient object detection.IEEE TMM, pages 5523–5535.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Priornet: Two deep prior cues for salient object detection.IEEE TMM, pages 5523–5535

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.812383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:49d1cb83559df323d25c2805249450f9105c272f1b02628be6d489e2aec6b879

Observation c24723b6-a1dd-4157-926c-fa74b8bc0531 · outbound

This paper cites Mlst-former: Multi-level spatial-temporal trans- former for group activity recognition.IEEE TCSVT, pages 3383–3397.

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli Mlst-former: Multi-level spatial-temporal trans- former for group activity recognition.IEEE TCSVT, pages 3383–3397

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T03:20:30.742435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:02:14.392628Z digest=sha256:2960ec29298574cd3e18018b868490338721f7a0bf037cff5a48a9b4cf3c78a3

Pith citing papers

No inbound Pith citation observations are available.