Paper Citation Record · LEDGER

Where, What, Why: Towards Explainable Driver Attention Prediction

As of 9 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 5 inbound Pith citation observations for arXiv:2506.23088.

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

pith.paper-citation-record.v1
2506.23088 v1

Coverage vector

measured 100 of 102 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:54:44.708764Z

measured 105 of 105 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:05:39.011067Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:40:29.033821Z

Reference resolution

100 of 102 outbound references displayed

verified exact0
verified fuzzy62
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b049a423-c3f0-4b52-bbd7-9d91945b147c · outbound

This paper cites Hammerdrive: A task-aware driving visual attention model.

Where, What, Why: Towards Explainable Driver Attention Prediction Hammerdrive: A task-aware driving visual attention model

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.141881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4e9c582-5f65-4f86-b6e4-e0cd65abf2c0 · outbound

This paper cites Aragan: A driver attention estimation model based on conditional gen- erative adversarial network.

Where, What, Why: Towards Explainable Driver Attention Prediction Aragan: A driver attention estimation model based on conditional gen- erative adversarial network

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.147239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e25dba-f570-4625-911f-273a611b7060 · outbound

This paper cites Medirl: Predicting the visual attention of drivers via maximum entropy deep inverse re- inforcement learning.

Where, What, Why: Towards Explainable Driver Attention Prediction Medirl: Predicting the visual attention of drivers via maximum entropy deep inverse re- inforcement learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.152039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f97cfec2-f401-4b62-9cc9-f799fe51d3cb · outbound

This paper cites Drive: Deep reinforced accident anticipation with visual explanation.

Where, What, Why: Towards Explainable Driver Attention Prediction Drive: Deep reinforced accident anticipation with visual explanation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.157087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f402f321-e0d9-4d7b-9830-826655d2a11e · outbound

This paper cites Re- current mixture density network for spatiotemporal visual at- tention.

Where, What, Why: Towards Explainable Driver Attention Prediction Re- current mixture density network for spatiotemporal visual at- tention

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.161540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b25add0d-ff24-4d50-857c-e3c5846a4a9e · outbound

This paper cites The devil is in the fine- grained details: Evaluating open-vocabulary object detec- tors for fine-grained understanding.

Where, What, Why: Towards Explainable Driver Attention Prediction The devil is in the fine- grained details: Evaluating open-vocabulary object detec- tors for fine-grained understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.166053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f89498cb-3606-48ef-a8ed-f1e89445c528 · outbound

This paper cites Trends, applications, and challenges in human attention modelling.

Where, What, Why: Towards Explainable Driver Attention Prediction Trends, applications, and challenges in human attention modelling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.170769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1e3c03-7b2c-482f-87db-ac827298ecd7 · outbound

This paper cites Sharegpt4video: Improving video understand- ing and generation with better captions.NeurIPS, 37:19472– 19495, 2025.

Where, What, Why: Towards Explainable Driver Attention Prediction Sharegpt4video: Improving video understand- ing and generation with better captions.NeurIPS, 37:19472– 19495, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.181293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f739249-8b0b-405e-a512-40d962802869 · outbound

This paper cites Air: At- tention with reasoning capability.

Where, What, Why: Towards Explainable Driver Attention Prediction Air: At- tention with reasoning capability

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.188186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9039b1c1-c39e-401b-b6e0-231cd90266f4 · outbound

This paper cites Gazexplain: Learn- ing to predict natural language explanations of visual scan- paths.

Where, What, Why: Towards Explainable Driver Attention Prediction Gazexplain: Learn- ing to predict natural language explanations of visual scan- paths

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.194381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa3db6d1-915a-4f04-8afa-e66ca902494d · outbound

This paper cites Fblnet: Feed- back loop network for driver attention prediction.

Where, What, Why: Towards Explainable Driver Attention Prediction Fblnet: Feed- back loop network for driver attention prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.200943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb72018a-8ddb-4fcf-b501-2e24ac760b02 · outbound

This paper cites What do you see in vehicle? comprehensive vi- sion solution for in-vehicle gaze estimation.

Where, What, Why: Towards Explainable Driver Attention Prediction What do you see in vehicle? comprehensive vi- sion solution for in-vehicle gaze estimation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.205400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d1b0718-a4cc-4c99-8e07-060775584eff · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Where, What, Why: Towards Explainable Driver Attention Prediction Gonzalez, Ion Stoica, and Eric P

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.209992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88af4eaa-3701-4aae-ba3d-0ad575c8aebf · outbound

This paper cites A survey on multimodal large language models for autonomous driving.

Where, What, Why: Towards Explainable Driver Attention Prediction A survey on multimodal large language models for autonomous driving

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.220522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ef0ea1-1cd2-4c59-aee1-0192b087a3b3 · outbound

This paper cites an unresolved cited work.

Where, What, Why: Towards Explainable Driver Attention Prediction Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.225629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c17f3591-d798-477e-9920-f55b39e894fc · outbound

This paper cites Driving vi- sual saliency prediction of dynamic night scenes via a spatio- temporal dual-encoder network.

Where, What, Why: Towards Explainable Driver Attention Prediction Driving vi- sual saliency prediction of dynamic night scenes via a spatio- temporal dual-encoder network

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.230387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d66e6fa-b170-4c62-936c-0d988a791a60 · outbound

This paper cites Fbnet: Feedback- recursive cnn for saliency detection.

Where, What, Why: Towards Explainable Driver Attention Prediction Fbnet: Feedback- recursive cnn for saliency detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.233930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a28db98-cb5c-4e92-8c85-b447339f9863 · outbound

This paper cites Visual saliency predic- tion using a mixture of deep neural networks.

Where, What, Why: Towards Explainable Driver Attention Prediction Visual saliency predic- tion using a mixture of deep neural networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.246616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20de09e0-2af1-4a56-9054-b9b9b840367c · outbound

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

Where, What, Why: Towards Explainable Driver Attention Prediction An image is worth 16x16 words: Transformers for image recognition at scale

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.250892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bdbbaee-ec34-41f8-a64e-4fb7ef15666a · outbound

This paper cites Dgaze: Driver gaze mapping on road.

Where, What, Why: Towards Explainable Driver Attention Prediction Dgaze: Driver gaze mapping on road

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.255406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc112f50-667e-42ab-851a-0087ccdbca8e · outbound

This paper cites Dada-2000: Can driving accident be predicted by driver attentionƒ analyzed by a benchmark.

Where, What, Why: Towards Explainable Driver Attention Prediction Dada-2000: Can driving accident be predicted by driver attentionƒ analyzed by a benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.260179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89ae88b2-f908-4e55-85c0-f20a6454fe32 · outbound

This paper cites Dada: Driver attention prediction in driving accident scenarios.

Where, What, Why: Towards Explainable Driver Attention Prediction Dada: Driver attention prediction in driving accident scenarios

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.265618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e47df24-3d8c-49ce-b4bf-76e23d3b8210 · outbound

This paper cites Driver attention pre- diction based on convolution and transformers.

Where, What, Why: Towards Explainable Driver Attention Prediction Driver attention pre- diction based on convolution and transformers

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:46.099060Z

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.

Observation 1a3df834-ef26-42c8-b19e-38104cbc46c2 · outbound

This paper cites Cascade learning for driver facial monitoring.

Where, What, Why: Towards Explainable Driver Attention Prediction Cascade learning for driver facial monitoring

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:46.066528Z

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.

Observation 54a751a2-2190-4282-bea2-f003b25237ff · outbound

This paper cites Graph- based visual saliency.

Where, What, Why: Towards Explainable Driver Attention Prediction Graph- based visual saliency

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:46.037112Z

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.

Observation 7f248076-f684-4952-a91e-d0eb017e7707 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Where, What, Why: Towards Explainable Driver Attention Prediction Lora: Low-rank adaptation of large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.981085Z

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.

Observation 6e7a7786-8679-4744-ab68-77f31ffc19db · outbound

This paper cites Data-driven estimation of driver attention us- ing calibration-free eye gaze and scene features.

Where, What, Why: Towards Explainable Driver Attention Prediction Data-driven estimation of driver attention us- ing calibration-free eye gaze and scene features

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.958793Z

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.

Observation fc1b4b57-a3dc-44b0-a09d-363f8d835fb0 · outbound

This paper cites A novel heterogeneous network for modeling driver attention with multi-level visual content.

Where, What, Why: Towards Explainable Driver Attention Prediction A novel heterogeneous network for modeling driver attention with multi-level visual content

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.948673Z

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.

Observation 3de02d1f-846f-4e50-946d-373943223d27 · outbound

This paper cites Predicting gaze in egocentric video by learning task- dependent attention transition.

Where, What, Why: Towards Explainable Driver Attention Prediction Predicting gaze in egocentric video by learning task- dependent attention transition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.938486Z

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.

Observation b471f1d8-f245-4acc-acd6-74de3aa065a3 · outbound

This paper cites Task-oriented scanpath prediction with spatial-temporal information in driving scenarios.

Where, What, Why: Towards Explainable Driver Attention Prediction Task-oriented scanpath prediction with spatial-temporal information in driving scenarios

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.927754Z

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.

Observation 6f58656d-5856-41ba-93e5-9ed270c8c8b5 · outbound

This paper cites Driver scanpath prediction based on inverse reinforcement learning.

Where, What, Why: Towards Explainable Driver Attention Prediction Driver scanpath prediction based on inverse reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.917871Z

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.

Observation 04f3d564-6548-4003-8f08-612ef3120757 · outbound

This paper cites A model of saliency-based visual attention for rapid scene analysis.

Where, What, Why: Towards Explainable Driver Attention Prediction A model of saliency-based visual attention for rapid scene analysis

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.907219Z

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.

Observation 63b4b38d-fbec-46f8-9e01-ef83d247fa4c · outbound

This paper cites Mtsf: Multi-scale temporal–spatial fusion network for driver attention predic- tion.

Where, What, Why: Towards Explainable Driver Attention Prediction Mtsf: Multi-scale temporal–spatial fusion network for driver attention predic- tion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.893372Z

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.

Observation 36d10da3-da3a-490b-9ad1-ba2fa7e94202 · outbound

This paper cites Look both ways: Self-supervising driver gaze estimation and road scene saliency.

Where, What, Why: Towards Explainable Driver Attention Prediction Look both ways: Self-supervising driver gaze estimation and road scene saliency

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.881023Z

Source-reported events for the cited work

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Observation d5dc8cce-b521-48c3-8d25-7439ac4498c4 · outbound

This paper cites Attention for vision- based assistive and automated driving: A review of al- gorithms and datasets.

Where, What, Why: Towards Explainable Driver Attention Prediction Attention for vision- based assistive and automated driving: A review of al- gorithms and datasets

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.870013Z

Source-reported events for the cited work

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Observation dc66b36b-62a6-44f0-811b-ece695c538bd · outbound

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Where, What, Why: Towards Explainable Driver Attention Prediction Unresolved cited work

Reference 36

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Source-reported events for the cited work

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Observation dd8d3282-5289-4342-99a8-036bb676717f · outbound

This paper cites an unresolved cited work.

Where, What, Why: Towards Explainable Driver Attention Prediction Unresolved cited work

Reference 37

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Source-reported events for the cited work

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Observation 1b924d11-73d4-43ec-8b87-442b2fabf772 · outbound

This paper cites Deep gaze I: boosting saliency prediction with feature maps trained on imagenet.

Where, What, Why: Towards Explainable Driver Attention Prediction Deep gaze I: boosting saliency prediction with feature maps trained on imagenet

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.839972Z

Source-reported events for the cited work

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Observation 9fbe9f17-ab0f-431d-884f-65c5635d8fa6 · outbound

This paper cites Lisa: Reasoning segmenta- tion via large language model.

Where, What, Why: Towards Explainable Driver Attention Prediction Lisa: Reasoning segmenta- tion via large language model

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.370824Z

Source-reported events for the cited work

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Observation 4d10f130-362f-4f92-9c2a-a175afa641a8 · outbound

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

Where, What, Why: Towards Explainable Driver Attention Prediction Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.384226Z

Source-reported events for the cited work

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Observation 62d80d2d-9b23-4de5-9779-8e79ba406d35 · outbound

This paper cites Adaptive short-temporal induced aware fusion network for predicting attention regions like a driver.

Where, What, Why: Towards Explainable Driver Attention Prediction Adaptive short-temporal induced aware fusion network for predicting attention regions like a driver

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.813492Z

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Observation ecff9b98-6fa9-405c-b631-a8338059f811 · outbound

This paper cites Lmeye: An interactive perception network for large language models.IEEE T-MM, 26:10952–10964, 2024.

Where, What, Why: Towards Explainable Driver Attention Prediction Lmeye: An interactive perception network for large language models.IEEE T-MM, 26:10952–10964, 2024

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.802370Z

Source-reported events for the cited work

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Observation 8bb93239-230e-44fd-a208-d7405e69ce61 · outbound

This paper cites Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models.

Where, What, Why: Towards Explainable Driver Attention Prediction Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.397750Z

Source-reported events for the cited work

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Observation 6870f5da-20b4-482a-83eb-3bbfa1b3acbf · outbound

This paper cites Airvista: Empowering uavs with 3d spatial reasoning abilities through a multimodal large language model agent.

Where, What, Why: Towards Explainable Driver Attention Prediction Airvista: Empowering uavs with 3d spatial reasoning abilities through a multimodal large language model agent

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.789642Z

Source-reported events for the cited work

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Observation 8f4ec173-0804-4759-9245-fdf382400fc9 · outbound

This paper cites Deepgaze iie: Calibrated prediction in and out- of-domain for state-of-the-art saliency modeling.

Where, What, Why: Towards Explainable Driver Attention Prediction Deepgaze iie: Calibrated prediction in and out- of-domain for state-of-the-art saliency modeling

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.776757Z

Source-reported events for the cited work

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Observation 3b3861d4-d21d-40bc-8971-72e47f204a60 · outbound

This paper cites Visual instruction tuning.

Where, What, Why: Towards Explainable Driver Attention Prediction Visual instruction tuning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.761434Z

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.

Observation e75aefff-8425-42f3-b062-f1606deb299b · outbound

This paper cites Improved baselines with visual instruction tuning.

Where, What, Why: Towards Explainable Driver Attention Prediction Improved baselines with visual instruction tuning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.417212Z

Source-reported events for the cited work

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Observation e07f0767-cdd8-4ae4-9b0e-13c5d9f620f0 · outbound

This paper cites Goal-oriented gaze estimation for zero-shot learning.

Where, What, Why: Towards Explainable Driver Attention Prediction Goal-oriented gaze estimation for zero-shot learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.740253Z

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.

Observation 9badef32-cc9b-4d5b-9219-c72efea54d34 · outbound

This paper cites A convnet for the 2020s.

Where, What, Why: Towards Explainable Driver Attention Prediction A convnet for the 2020s

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.729942Z

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.

Observation 306a245d-8c51-4678-a190-dc89458a55b1 · outbound

This paper cites Robollm: Robotic vision tasks grounded on multimodal large language models.

Where, What, Why: Towards Explainable Driver Attention Prediction Robollm: Robotic vision tasks grounded on multimodal large language models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.710903Z

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.

Observation 91971b2b-a0c0-49b4-b778-53660c65f5ad · outbound

This paper cites Decoupled Weight Decay Regularization.

Where, What, Why: Towards Explainable Driver Attention Prediction Decoupled Weight Decay Regularization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.436055Z

Source-reported events for the cited work

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Observation 84838941-97c9-4eec-80b6-125e20dc395f · outbound

This paper cites Gaze and eye- tracking solutions for psychological research.

Where, What, Why: Towards Explainable Driver Attention Prediction Gaze and eye- tracking solutions for psychological research

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.696789Z

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.

Observation 9c8bc8ce-0f79-4ee7-8006-4942198e7a22 · outbound

This paper cites ” looking at the right stuff”-guided semantic-gaze for au- tonomous driving.

Where, What, Why: Towards Explainable Driver Attention Prediction ” looking at the right stuff”-guided semantic-gaze for au- tonomous driving

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.681808Z

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.

Observation bdc1beee-94ac-44be-842e-5770cff1fefd · outbound

This paper cites Predicting the driver’s focus of attention: The dr(eye)ve project.

Where, What, Why: Towards Explainable Driver Attention Prediction Predicting the driver’s focus of attention: The dr(eye)ve project

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.671022Z

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.

Observation fe9038c6-f9cb-4ead-a5ee-8fb8944b948c · outbound

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

Where, What, Why: Towards Explainable Driver Attention Prediction Multi-scale interactive network for salient object detection

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.657858Z

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.

Observation e4452014-1fcb-4688-acde-7287beb21c3c · outbound

This paper cites Human generalization of in- ternal representations through prototype learning with goal- directed attention.

Where, What, Why: Towards Explainable Driver Attention Prediction Human generalization of in- ternal representations through prototype learning with goal- directed attention

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.643861Z

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.

Observation 1b7af59e-0227-4e68-8f30-ca724916857f · outbound

This paper cites The attention sys- tem of the human brain.

Where, What, Why: Towards Explainable Driver Attention Prediction The attention sys- tem of the human brain

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.632070Z

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.

Observation 019f6a9d-3150-4f34-b125-2529b18c2b53 · outbound

This paper cites U2-net: Go- ing deeper with nested u-structure for salient object detec- tion.

Where, What, Why: Towards Explainable Driver Attention Prediction U2-net: Go- ing deeper with nested u-structure for salient object detec- tion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.619477Z

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.

Observation e56c61c2-a998-4eb8-9964-82d6443aa36a · outbound

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

Where, What, Why: Towards Explainable Driver Attention Prediction Learn- ing transferable visual models from natural language super- vision

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.605542Z

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.

Observation 22d1aa9a-8b3d-472b-a68f-159ccb90ffff · outbound

This paper cites Deepspeed: System optimizations enable train- ing deep learning models with over 100 billion parameters.

Where, What, Why: Towards Explainable Driver Attention Prediction Deepspeed: System optimizations enable train- ing deep learning models with over 100 billion parameters

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.588857Z

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.

Observation 950306ac-6ef9-4a97-a0dc-b5c5f54729e6 · outbound

This paper cites Pixellm: Pixel reasoning with large multimodal model.

Where, What, Why: Towards Explainable Driver Attention Prediction Pixellm: Pixel reasoning with large multimodal model

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.565437Z

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.

Observation 0aa343c6-5ba4-43cd-9735-96f35d3d0ebc · outbound

This paper cites Weakly supervised fixated object de- tection in traffic videos based on driver’s selective attention mechanism.

Where, What, Why: Towards Explainable Driver Attention Prediction Weakly supervised fixated object de- tection in traffic videos based on driver’s selective attention mechanism

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.542462Z

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.

Observation fef69091-3117-40cf-8dde-db2c1f0482dc · outbound

This paper cites Fixated object detection based on saliency prior in traffic scenes.

Where, What, Why: Towards Explainable Driver Attention Prediction Fixated object detection based on saliency prior in traffic scenes

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.529339Z

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.

Observation 46052145-756a-4902-aacc-3ca678f71655 · outbound

This paper cites Drivelm: Driving with graph visual question answering.

Where, What, Why: Towards Explainable Driver Attention Prediction Drivelm: Driving with graph visual question answering

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.507766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab3639d-c77d-4818-8586-87ab5b259610 · outbound

This paper cites Vitgaze: gaze following with interaction features in vision transformers.

Where, What, Why: Towards Explainable Driver Attention Prediction Vitgaze: gaze following with interaction features in vision transformers

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.510485Z

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.

Observation 10a34077-6cc4-4f60-95b9-1f77e319de16 · outbound

This paper cites From gaze perception to social cognition: The shared- attention system.

Where, What, Why: Towards Explainable Driver Attention Prediction From gaze perception to social cognition: The shared- attention system

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.498167Z

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.

Observation 370bb2b4-6473-43b9-bc8f-0bffb72e69af · outbound

This paper cites Driving as well as on a sunny day? predicting driver’s fixation in rainy weather conditions via a dual-branch visual model.

Where, What, Why: Towards Explainable Driver Attention Prediction Driving as well as on a sunny day? predicting driver’s fixation in rainy weather conditions via a dual-branch visual model

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.485732Z

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.

Observation 5f6ebc63-00a0-4523-9d1a-626a8cf04d72 · outbound

This paper cites Drivevlm: The convergence of autonomous driving and large vision-language models.

Where, What, Why: Towards Explainable Driver Attention Prediction Drivevlm: The convergence of autonomous driving and large vision-language models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.458971Z

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.

Observation 6066adc1-b3c8-4ffa-a8af-7f8561261a5d · outbound

This paper cites UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility.

Where, What, Why: Towards Explainable Driver Attention Prediction UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.530817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4f59f64-f440-4cd8-840b-13bf5b14b6ec · outbound

This paper cites Next-gpt: Any-to-any multimodal llm.

Where, What, Why: Towards Explainable Driver Attention Prediction Next-gpt: Any-to-any multimodal llm

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.441076Z

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.

Observation 5d6f4106-16bc-4861-ae0d-5d2c6d2b43f0 · outbound

This paper cites Predicting driver attention in critical situations.

Where, What, Why: Towards Explainable Driver Attention Prediction Predicting driver attention in critical situations

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.430147Z

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.

Observation 9291d7e7-e413-4dbd-9f4d-e46ad58d657a · outbound

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

Where, What, Why: Towards Explainable Driver Attention Prediction Gsva: Generalized segmentation via multimodal large language models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.419000Z

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.

Observation e0372360-af20-437c-b9de-8b1b0ef71c91 · outbound

This paper cites Pyramid grafting network for one- stage high resolution saliency detection.

Where, What, Why: Towards Explainable Driver Attention Prediction Pyramid grafting network for one- stage high resolution saliency detection

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.409325Z

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.

Observation 1d6d90fc-d6b2-40d6-9ebb-b66f5c1b0d4c · outbound

This paper cites Transconvnet: Perform perceptually relevant driver’s visual attention predictions.

Where, What, Why: Towards Explainable Driver Attention Prediction Transconvnet: Perform perceptually relevant driver’s visual attention predictions

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.398196Z

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.

Observation 164c9033-1f92-4574-a163-09919c696f90 · outbound

This paper cites V oila-a: Aligning vision-language models with user’s gaze attention.

Where, What, Why: Towards Explainable Driver Attention Prediction V oila-a: Aligning vision-language models with user’s gaze attention

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.380753Z

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.

Observation a334305d-1024-4107-8664-3ae272bc466a · outbound

This paper cites Qwen2.5 Technical Report.

Where, What, Why: Towards Explainable Driver Attention Prediction Qwen2.5 Technical Report

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.564724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80d35fea-a602-4f8a-b83b-5bbb5b33c354 · outbound

This paper cites Progres- sive adapting and pruning: Domain-incremental learning for saliency prediction.

Where, What, Why: Towards Explainable Driver Attention Prediction Progres- sive adapting and pruning: Domain-incremental learning for saliency prediction

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.356959Z

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.

Observation 98a82185-79bb-4072-be07-61b92b7c05fe · outbound

This paper cites Continual learning with bayesian model based on a fixed pre-trained feature extrac- tor.

Where, What, Why: Towards Explainable Driver Attention Prediction Continual learning with bayesian model based on a fixed pre-trained feature extrac- tor

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.331574Z

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.

Observation ef3d09d7-f497-4577-82a8-847830dce81d · outbound

This paper cites From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation.

Where, What, Why: Towards Explainable Driver Attention Prediction From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.585590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6684dba-fb82-407f-8d66-f1b496c62b22 · outbound

This paper cites Contextual object detection with mul- timodal large language models.

Where, What, Why: Towards Explainable Driver Attention Prediction Contextual object detection with mul- timodal large language models

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.301203Z

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.

Observation 38e10db4-c9e5-4506-8851-4e3edc207b2c · outbound

This paper cites Da-bev: Depth aware bev transformer for 3d object detection.

Where, What, Why: Towards Explainable Driver Attention Prediction Da-bev: Depth aware bev transformer for 3d object detection

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.262728Z

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.

Observation 169c3061-baab-4a56-b592-8001d0d49204 · outbound

This paper cites Llava-grounding: Grounded visual chat with large multimodal models.

Where, What, Why: Towards Explainable Driver Attention Prediction Llava-grounding: Grounded visual chat with large multimodal models

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.235455Z

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.

Observation 36f5fa3b-fea7-40b2-90f3-6c4282aeb66c · outbound

This paper cites Human gaze assisted artificial intelligence: A review.

Where, What, Why: Towards Explainable Driver Attention Prediction Human gaze assisted artificial intelligence: A review

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.208857Z

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.

Observation 1f614c2c-5c4b-431e-aab5-337bcd4472e0 · outbound

This paper cites Salm 2: An extremely lightweight saliency mamba model for real-time cognitive awareness of driver at- tention.

Where, What, Why: Towards Explainable Driver Attention Prediction Salm 2: An extremely lightweight saliency mamba model for real-time cognitive awareness of driver at- tention

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.191337Z

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.

Observation 5dae4df3-646e-473b-94f1-e13e8a6e881a · outbound

This paper cites Learning from easy to hard pairs: Multi-step reasoning net- work for human-object interaction detection.

Where, What, Why: Towards Explainable Driver Attention Prediction Learning from easy to hard pairs: Multi-step reasoning net- work for human-object interaction detection

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.155705Z

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.

Observation a2e13276-819c-456b-8d98-ed15d1d512eb · outbound

This paper cites Pit: Progressive interaction transformer for pedestrian crossing intention prediction.

Where, What, Why: Towards Explainable Driver Attention Prediction Pit: Progressive interaction transformer for pedestrian crossing intention prediction

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.140318Z

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.

Observation 1b0a98c9-12c4-4f25-8ef5-30d10c87c989 · outbound

This paper cites Learning from observer gaze: Zero-shot attention prediction oriented by human-object interaction recognition.

Where, What, Why: Towards Explainable Driver Attention Prediction Learning from observer gaze: Zero-shot attention prediction oriented by human-object interaction recognition

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.127918Z

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.

Observation c43fe3a8-de0a-48a0-8248-64d179e58f84 · outbound

This paper cites Hktsg: A hierarchical knowledge-guided traffic scene graph representation learning framework for intelligent vehi- cles.

Where, What, Why: Towards Explainable Driver Attention Prediction Hktsg: A hierarchical knowledge-guided traffic scene graph representation learning framework for intelligent vehi- cles

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.092545Z

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.

Observation 60dd76c5-ca3c-46e9-8b7f-8548688748c4 · outbound

This paper cites Behavior-aware knowledge-embedded model for driver attention prediction.

Where, What, Why: Towards Explainable Driver Attention Prediction Behavior-aware knowledge-embedded model for driver attention prediction

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.078981Z

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.

Observation 644f177b-9166-4c05-9799-9c8246e69717 · outbound

This paper cites Unsupervised self-driving attention prediction via un- certainty mining and knowledge embedding.

Where, What, Why: Towards Explainable Driver Attention Prediction Unsupervised self-driving attention prediction via un- certainty mining and knowledge embedding

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.064755Z

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.

Observation 2623f5f0-0ece-46d3-ba68-72a87b5a19b9 · outbound

This paper cites Dataset Comparisons To highlight the advantages of W³DA, we compare it with existing driving attention datasets, as shown in Table 4.

Where, What, Why: Towards Explainable Driver Attention Prediction Dataset Comparisons To highlight the advantages of W³DA, we compare it with existing driving attention datasets, as shown in Table 4

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.046030Z

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.

Observation 0af0ad5b-7b32-40da-b466-a8bcca0579e1 · outbound

This paper cites road ahead.

Where, What, Why: Towards Explainable Driver Attention Prediction road ahead

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.032042Z

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.

Observation 1d447fc1-ee9d-4fb9-94f2-5d0144744f5c · outbound

This paper cites The image shows your visual attention distribution.

Where, What, Why: Towards Explainable Driver Attention Prediction The image shows your visual attention distribution

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:45.014518Z

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.

Observation dec0f8b0-9a08-44bc-a032-f03032019496 · outbound

This paper cites an unresolved cited work.

Where, What, Why: Towards Explainable Driver Attention Prediction Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:54:44.948238Z

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.

Observation 2b03a403-db9a-4dc5-a84d-f27924dc85c4 · outbound

This paper cites an unresolved cited work.

Where, What, Why: Towards Explainable Driver Attention Prediction Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:54:44.925554Z

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.

Observation f833263c-0ef5-45b0-8632-7962b24fe845 · outbound

This paper cites an unresolved cited work.

Where, What, Why: Towards Explainable Driver Attention Prediction Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:54:44.882596Z

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.

Observation 8bc9bcd6-74cd-490a-80a0-e37cc8b22a38 · outbound

This paper cites {context_description}.

Where, What, Why: Towards Explainable Driver Attention Prediction {context_description}

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:44.867479Z

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.

Observation 17acad4d-bd01-465d-b7d7-8646d77dbfbf · outbound

This paper cites an unresolved cited work.

Where, What, Why: Towards Explainable Driver Attention Prediction Unresolved cited work

Reference 102

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:54:44.847328Z

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.

Observation 4d6a283a-f6fa-4042-95e4-a79b670d52ae · outbound

This paper cites Prompt templates for MLLM annotation in traffic accident scenarios.

Where, What, Why: Towards Explainable Driver Attention Prediction Prompt templates for MLLM annotation in traffic accident scenarios

Reference 103

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:54:44.834292Z

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.

Observation 522d1564-6a7e-4dbb-9f59-64803517b17a · outbound

This paper cites an unresolved cited work.

Where, What, Why: Towards Explainable Driver Attention Prediction Unresolved cited work

Reference 104

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:54:44.983908Z

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.

Pith citing papers

Observation 06fa43f2-ad5b-4b03-a15f-9eacfc1c6bfe · inbound

RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking cites this paper.

RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking Where, What, Why: Towards Explainable Driver Attention Prediction

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:39.011067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d17781-0799-4788-b535-eea387d61604 · inbound

Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs cites this paper.

Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs Where, What, Why: Towards Explainable Driver Attention Prediction

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:40:29.036810Z

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.

Observation 9bbf6d4c-7617-4d1a-be6b-49776948cd1c · inbound

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation cites this paper.

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation Where, What, Why: Towards Explainable Driver Attention Prediction

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:06:51.611452Z

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.

Observation 3a8f3583-6d87-4098-960b-5a2c044b4e22 · inbound

EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding cites this paper.

EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding Where, What, Why: Towards Explainable Driver Attention Prediction

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:30:57.770958Z

Source-reported events for the cited work

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Observation 5204747e-15bb-492a-8218-1422d45b83ae · inbound

LaP-Forensics: Latent-Pixel Consistency Guided Multimodal Reasoning for Deepfake Detection cites this paper.

LaP-Forensics: Latent-Pixel Consistency Guided Multimodal Reasoning for Deepfake Detection Where, What, Why: Towards Explainable Driver Attention Prediction

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T01:04:36.563566Z

Source-reported events for the cited work

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