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Paper Citation Record · LEDGER

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1701.01081.

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

pith.paper-citation-record.v1
1701.01081 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:01:03.924812Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T13:00:50.106047Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e727710b-abe8-46ee-b0c7-d99b77d48ff9 · inbound

Learning Where to Look While Tracking Instruments in Robot-assisted Surgery cites this paper.

Learning Where to Look While Tracking Instruments in Robot-assisted Surgery SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T13:00:50.109235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T12:59:35.861020Z digest=sha256:262607e0a85aa6030a14737bafcdb9c84acc0f91a067562eabcd5d6624a253f1

Observation a2a5e997-ec80-4d31-9f95-c89c00e080cc · inbound

Simple vs complex temporal recurrences for video saliency prediction cites this paper.

Simple vs complex temporal recurrences for video saliency prediction SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-25T10:36:54.196718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T10:36:50.574476Z digest=sha256:7d4ce8a64253cc7ebb6521cdb56d54a19679b0e19ea3ef6edc0468ea3ade7b6c

Observation 784faeec-5694-4432-bc62-b29c8b8b8314 · inbound

Deep Saliency Models : The Quest For The Loss Function cites this paper.

Deep Saliency Models : The Quest For The Loss Function SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-25T09:20:34.592381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T09:19:21.007719Z digest=sha256:09586f7581a1420c03829fec8999c495e5b2220c3407d534f46fe6edaeaa8041

Observation 5ae6e93a-29cc-4b4c-a9ae-dc013e9207f1 · inbound

Believe It or Not, We Know What You Are Looking at! cites this paper.

Believe It or Not, We Know What You Are Looking at! SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T09:36:51.495527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T09:35:34.064034Z digest=sha256:97c477e7191da110c5437769c737c3982b5dc3513ad3b8ebe2f8966fd31c4572

Observation f66ec02d-ff0f-4d16-92b9-19071a87068b · inbound

TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection cites this paper.

TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T13:07:52.170593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:07:52.170593Z digest=sha256:cf7cd81fd3703f0045387a90cfcb92f3f64aef9176f13c97592f827ffed07302

Observation 7f246bb1-e808-49dc-ad88-d636aeb8f1da · inbound

Task-Driven Fixation Network: An Efficient Architecture with Fixation Selection cites this paper.

Task-Driven Fixation Network: An Efficient Architecture with Fixation Selection SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T22:28:52.318901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:28:52.318901Z digest=sha256:c5d396de505d340184fd9549146dafd8dafb9de7c01b2121263d1ea777bd98bf

Observation cc3a59bc-b978-41bc-a924-ab2b6a176e20 · inbound

Advancing TDFN: Precise Fixation Point Generation Using Reconstruction Differences cites this paper.

Advancing TDFN: Precise Fixation Point Generation Using Reconstruction Differences SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T14:11:55.063478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:11:55.063478Z digest=sha256:10e7e1d3955847fce8caeddfd40dfd6d5d0530b97848e6a15c0e8f29299a9105

Observation d74a84f4-c0ea-4dff-99f8-1d8ff8421558 · inbound

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks cites this paper.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:03.924812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.924812Z digest=sha256:e825eba5c7c2f2ced1fdbfffe3df1b9cac2c9e088647a689690b1ccd08c50ea3

Observation c2c46e32-e32b-4a21-a221-fb4a7b809f10 · inbound

AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes cites this paper.

AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T17:19:31.564796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:19:31.564796Z digest=sha256:55a7623bcd63e111515d8d3635efd5eeeef6e94cc8f8fb921b60653b9a691da5

Observation f025aa59-b996-4f2f-a930-623d5e29dbe1 · inbound

SalFormer360: a transformer-based saliency estimation model for 360-degree videos cites this paper.

SalFormer360: a transformer-based saliency estimation model for 360-degree videos SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T04:35:17.964647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:35:17.964647Z digest=sha256:b1e4ea8bb66cf0d4eeba70f60728df6636127672c6469e35502dfb328eb3c09e

Observation 34d5271e-2178-4459-b5ee-10bdbd9b82f3 · inbound

Data-centric Design of Learning-based Surgical Gaze Perception Models in Multi-Task Simulation cites this paper.

Data-centric Design of Learning-based Surgical Gaze Perception Models in Multi-Task Simulation SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-21T13:04:10.498940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T13:01:26.498572Z digest=sha256:264c5ba654421fe6578877947c1f16ea5861bf54e02c30d079833a995e027b75

Observation c7c1f171-e941-4953-867e-0aad6cdb4089 · inbound

Exploring deep learning for Event-Based Saliency Prediction with a Transformer-based model cites this paper.

Exploring deep learning for Event-Based Saliency Prediction with a Transformer-based model SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T04:25:19.150508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T04:24:48.915046Z digest=sha256:e32c8e62a0c2cbbb67f1a76e76dcd6b4de1d4233609bba732c055fd73240508b

Observation b8aef135-de32-4821-bdbb-e29dd231fe13 · inbound

Zero-shot 2D Grounding with Novel Affordance Types cites this paper.

Zero-shot 2D Grounding with Novel Affordance Types SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-14T04:25:00.638291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:00.638291Z digest=sha256:f03c021ca17a79ce2e30a0d230e73245463a36103e79f251b287be88e00fbb7f