Pith. sign in

Paper Citation Record · LEDGER

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.18503.

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

pith.paper-citation-record.v1
2507.18503 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:11.720303Z

measured 39 of 39 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 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

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c919f457-db00-4423-9a71-102351224197 · outbound

This paper cites Foveal vision,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Foveal vision,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:10.760168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:10.760168Z digest=sha256:2e4272dcbd15816de33275598bbad0be6adf95c7e90b41405d1abf9f23e4d5fb

Observation c2760df0-8e83-4d7b-a087-93137b95e81d · outbound

This paper cites Revisiting active per- ception,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Revisiting active per- ception,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:13.515176Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:10.804817Z digest=sha256:41a7a0d0e8f0d92cea047a2330f9809db6e47d68143a6e41ee8e868d8ac7df95

Observation f480e2b5-15d0-4176-b252-cb5b827d5703 · outbound

This paper cites An overview of space-variant and active vision mechanisms for resource-constrained human inspired robotic vision,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention An overview of space-variant and active vision mechanisms for resource-constrained human inspired robotic vision,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:10.855791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:10.855791Z digest=sha256:ffb49a7e692d456a31de4ce3323ec6897a0e02957fdc2f2c90cb33b0b983c94f

Observation 5833e455-9a05-4bba-9411-4e80eabb9d4e · outbound

This paper cites Foveated rendering: A state-of-the-art survey,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Foveated rendering: A state-of-the-art survey,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:13.493962Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:10.894830Z digest=sha256:4b7505e040b1b82ea3cc03590cbf000c6488cb7578bddc9f5984ae845a5e8b4b

Observation e8a974b5-b4d6-4e8c-a254-7debb31481b5 · outbound

This paper cites Deep learning for object recognition: A compre- hensive review of models and algorithms,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Deep learning for object recognition: A compre- hensive review of models and algorithms,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:13.407248Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:10.927391Z digest=sha256:e450e48202074e4bbdce1ff09c76bcf0fd66afad0f29431d4161bca0693964de

Observation 66e7f5ae-cdf0-41ca-864c-95ba420e9251 · outbound

This paper cites an unresolved cited work.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:10.947187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:10.947187Z digest=sha256:f7db1ba19089a46ef118899eddd85a36e2b7941236a9f29f5f202407ae8e8b15

Observation dddd3695-6182-4519-b725-ff9f215e725a · outbound

This paper cites SemBA-FAST: Semantic- Based Bayesian Attention Applied to Foveal Active Visual Search Tasks,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention SemBA-FAST: Semantic- Based Bayesian Attention Applied to Foveal Active Visual Search Tasks,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:13.376239Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:10.985211Z digest=sha256:c0e071ffafae216743572f73b2496e9111d8c28239429299eb668e6b1bb00529

Observation f367deac-e766-424a-9a92-ba3a51c7f82c · outbound

This paper cites an unresolved cited work.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:37:13.358463Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.034750Z digest=sha256:62551191b41e3c950afbe487f5a343ed131b0a3ee09d82caca84ba9db863a805

Observation 7dc18b07-1de1-4e44-8a0a-a7c8cff40c55 · outbound

This paper cites Predicting visual fixations,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Predicting visual fixations,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.058678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.058678Z digest=sha256:edb5ac0ba4dcc955a5df2390686c12970dcdf76a2a72be961ec352f528fb3742

Observation 1d8f749c-0717-46cd-8469-db3f049303cf · outbound

This paper cites Eye movement characteristics in schizophrenia: A recent update with clinical implica- tions,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Eye movement characteristics in schizophrenia: A recent update with clinical implica- tions,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:13.323844Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.073801Z digest=sha256:9f87bfacde44cabc9c73033e7487d8b4f33bcc4e05da2c7e212f6a971819b8c0

Observation fbe90fa3-3f4e-4dd0-879b-9e65894b32bf · outbound

This paper cites Eye-movements reveal semantic interference ef- fects during the encoding of naturalistic scenes in long-term memory,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Eye-movements reveal semantic interference ef- fects during the encoding of naturalistic scenes in long-term memory,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:13.239044Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.090168Z digest=sha256:7ef06bd405d41d506d8ea657f040e911ed11bcfd08c40c162b71f3b4718eab97

Observation 9a8b7b48-f3cb-4be5-8327-970dd590e42b · outbound

This paper cites The neural basis of visual attention,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention The neural basis of visual attention,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.134823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.134823Z digest=sha256:ad11f933e1425eb6beaed4ada13ccb6faef5d69f70a71ef548bc2d939cc5408a

Observation e1e4bd96-91d9-4d17-83a7-5489370880c2 · outbound

This paper cites Visual search: How do we find what we are looking for?,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Visual search: How do we find what we are looking for?,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.157749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.157749Z digest=sha256:db2201f9a01655e1f4479bd957d355d1fc9b4dd231d822a3eaae412cfaa61b24

Observation 1b3b6636-3a66-467a-b3bc-b67173ab1452 · outbound

This paper cites Dirichlet-based Uncertainty Calibration for Active Domain Adaptation,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Dirichlet-based Uncertainty Calibration for Active Domain Adaptation,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:13.135164Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.166746Z digest=sha256:f275942d4a8152d1bb66fb0ad408e927a1269e1eb19387ec6b074c7cc39ce634

Observation f637d029-7c3d-429e-95f1-b5d354692468 · outbound

This paper cites an unresolved cited work.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:37:13.087431Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.188707Z digest=sha256:36b12c0c87a7a9cfcc39b2ec46bb19137d28f67db5fbd7683850283d74d2d6ac

Observation 43d9e8ad-a453-4a99-9ef5-70aa24f641ca · outbound

This paper cites The Mahalanobis distance,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention The Mahalanobis distance,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:13.056390Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.223386Z digest=sha256:0df8b4d3ac11f31aa62ecdcb93c952c784defabbe4d8459619a716046bc0c2e0

Observation 55961148-c899-423f-baac-99511d7b104d · outbound

This paper cites Deep networks for human visual attention: A hybrid model using foveal vision,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Deep networks for human visual attention: A hybrid model using foveal vision,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.265549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.265549Z digest=sha256:1983ad1c0f163ceb5515e0ddd4a7e4927cbb274d775bc9e93a95ade35b9bf9d5

Observation 06eede27-4a55-4f37-bf8d-e93c643853df · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.276152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.276152Z digest=sha256:1da3a9c5cea23b6cb994a9b711bedacae9a6edbc5590007282ea26807dae8e14

Observation cc4e2b74-073b-4125-a5a0-a931d4a33dcf · outbound

This paper cites You only look once: Unified, real-time object detection,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention You only look once: Unified, real-time object detection,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.297399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.297399Z digest=sha256:f2337f9361fbeed7475d91f97648ff5e7b81629ecbb57a58e9f18e88ff7ad5fe

Observation ef1a9d49-0ea7-4f70-a8f6-98109b6a299f · outbound

This paper cites A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.704815Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.307766Z digest=sha256:7ad01c5b06cfeb4373107d884434c377771d9f4b55fc8c6c893097e0d74f196f

Observation 42a4c13b-2e0e-4b71-9422-56c4957287f6 · outbound

This paper cites A Review of Yolo algorithm developments,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention A Review of Yolo algorithm developments,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.613052Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.317327Z digest=sha256:a1ea357e579e586a9b8196a4fdb86fa0f5169ace8fe203c4ab3b46349814a428

Observation c4d54ac8-baf9-4ef2-bd69-be1cc9487f13 · outbound

This paper cites End-to-end object detection with transformers,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention End-to-end object detection with transformers,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.596662Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.329530Z digest=sha256:8e42757d701787ed602bff4c354fcbf8bf3d648668c8cb534fda7bac6558f67f

Observation 632452ad-138b-4f30-8b42-450d65de8e44 · outbound

This paper cites Learning to predict where humans look,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Learning to predict where humans look,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.578221Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.334116Z digest=sha256:f9ed6e6db8f667b73683b6161933d729b9e731fa616d0b6994f6ec213ba79373

Observation 039e7e4c-9641-45c4-9409-cd26bad0b88f · outbound

This paper cites Estimating a Dirichlet distribution,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Estimating a Dirichlet distribution,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.559053Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.347897Z digest=sha256:108c8a06ac790f7271f58b135bacddda9e34a103495a3f9ec30283dd0d3c2ee6

Observation 10405df1-db80-42d7-aa7f-e5b8b0fd08a4 · outbound

This paper cites an unresolved cited work.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.374776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.374776Z digest=sha256:16982f0187083bae218001f9c944e90b51292e4873f679c1b25b2c0253da913d

Observation fa484f33-60b5-41c5-b6d3-625cb5f8c914 · outbound

This paper cites Microsoft COCO: Common Objects in Context,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Microsoft COCO: Common Objects in Context,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.411073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.411073Z digest=sha256:13a86decbf19ab62f97c2c10a8d10ec3f9d0ed4b29adda94043cbb7b30719574

Observation 4ef0aae8-6095-420f-ac39-c962c9a3bd60 · outbound

This paper cites Saliency benchmarking made easy: Separating models, maps and metrics,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Saliency benchmarking made easy: Separating models, maps and metrics,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.421212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.421212Z digest=sha256:8e8f3a0c1d896463930b42c3beb26533a4649df3ac143cfbd8d66c75a70f924d

Observation 27c5d3fb-8bf0-4b42-8719-c72ba615c567 · outbound

This paper cites State-of-the-Art in Human Scanpath Prediction.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention State-of-the-Art in Human Scanpath Prediction

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.430632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.430632Z digest=sha256:a985bc4f348eb81ea3804e0023fa0dcd902bb9e18e35349c53f8d5f0ad67672f

Observation 9f91e322-4763-49d6-a9b7-c13fe74d217f · outbound

This paper cites Coco-search18 fixation dataset for predicting goal-directed attention control,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Coco-search18 fixation dataset for predicting goal-directed attention control,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.518586Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.436198Z digest=sha256:89a0df05d171e2b95b9b78a63e1e7a6da9ee4d236cac65b63478a8775476734e

Observation 3158bd7d-b71a-4183-8ce8-7bcd03f1acab · outbound

This paper cites A general method applicable to the search for similarities in the amino acid sequence of two proteins,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention A general method applicable to the search for similarities in the amino acid sequence of two proteins,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.445240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.445240Z digest=sha256:d4772bc6e5188f959f589d12f8d23999461b8ff6ff9f6ecb50d2f14532e5f1af

Observation b2f6f283-d266-4f41-a413-ecf07ddc8034 · outbound

This paper cites Binary codes capable of correcting deletions, inser- tions, and reversals,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Binary codes capable of correcting deletions, inser- tions, and reversals,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.466444Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.484903Z digest=sha256:1bca2dd2e65d893c89c2457e5309e2d79e86f15039749d55f0d0f06f26010f40

Observation 6c43f23c-6018-4b00-9261-76dfd16f4d6c · outbound

This paper cites DeepGaze III: Modeling free-viewing human scanpaths with deep learning,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention DeepGaze III: Modeling free-viewing human scanpaths with deep learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.447446Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.502668Z digest=sha256:75dd8771c5a224835953574ce26ab3f4415597c76e4dc7f72e8448eeffae2141

Observation 4460433c-3678-4816-9781-8a2e412e6417 · outbound

This paper cites Finding any Waldo with zero-shot invariant and efficient visual search,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Finding any Waldo with zero-shot invariant and efficient visual search,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:11.564748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:11.564748Z digest=sha256:a463f5e76c8b276a975c284dd61622bf7306eea0cd1c89a2a163a7331ae7065c

Observation 1e16eecc-daea-4cbc-b25e-fbc70eec5075 · outbound

This paper cites Predicting goal-directed human attention using inverse reinforcement learning,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Predicting goal-directed human attention using inverse reinforcement learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.420560Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.588960Z digest=sha256:0cf406ced0b9836fddb656685c7fd25459b08fd9c84768d8ac61cf80c2e2c633

Observation 61cce671-4ce9-48bb-a857-db2df88973c9 · outbound

This paper cites Predicting human scanpaths in visual question answering,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Predicting human scanpaths in visual question answering,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.395013Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.592067Z digest=sha256:2e31648e3b22b31e90f7bbec0cbbee3973c83c7d5d441a82744481d4194c21f4

Observation df37c9ac-0e22-4f94-804c-7e02ee730f66 · outbound

This paper cites Target-absent human attention,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Target-absent human attention,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.369570Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.624750Z digest=sha256:d09cecede9f4b41158f27ef2aea5947f96195c50f8bcfc86a01dff7e03bd9a0b

Observation 468ae117-6be7-49b7-85cc-99aa49e91881 · outbound

This paper cites Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.284727Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.660630Z digest=sha256:a6a148cdf4f79210c1f5a6be755f048c2dcefe5f6f2e41dd4b094a44d8927e08

Observation fa8274fa-f95d-4db7-9303-ef6842a6e21d · outbound

This paper cites Unifying Top-down and Bottom-up Scanpath Predic- tion Using Transformers,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention Unifying Top-down and Bottom-up Scanpath Predic- tion Using Transformers,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.187502Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.694750Z digest=sha256:91429eb77a0202d782f1cfdcc2f144047dd40391eabb90e6680025537e894c33

Observation f28b1b19-4ac8-4487-8448-636137bf2706 · outbound

This paper cites CLIPGaze: Zero-Shot Goal-Directed Scanpath Predic- tion Using CLIP,.

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention CLIPGaze: Zero-Shot Goal-Directed Scanpath Predic- tion Using CLIP,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:12.054744Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:37:11.720303Z digest=sha256:67ceca76aa738f1d1c0100c1a321caa6181b0e6f57e809a66e6f50f608ec5264

Pith citing papers

No inbound Pith citation observations are available.