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Paper Citation Record · LEDGER

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework

As of 18 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2505.21530.

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

pith.paper-citation-record.v1
2505.21530 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:19.471244Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

74 of 74 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 262c779a-130f-471e-94fc-2d948e3b5392 · outbound

This paper cites an unresolved cited work.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 1

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Observation 0e719a8e-8c42-46eb-933e-2cdb354503a0 · outbound

This paper cites an unresolved cited work.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 2

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Observation 0961f069-70ce-422d-97e7-a3ebac708b33 · outbound

This paper cites an unresolved cited work.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 3

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Observation 65287eb4-be71-475c-8ff3-8414c9d392cc · outbound

This paper cites We employed the AdamW optimizer [55], an extension of the Adam optimizer that improves weight decay regularization, with hyperparameters set toβ 1 = 0.9and β2 = 0.999.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework We employed the AdamW optimizer [55], an extension of the Adam optimizer that improves weight decay regularization, with hyperparameters set toβ 1 = 0.9and β2 = 0.999

Reference 4

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Observation 3b5423a1-b78f-4f16-b7e8-b4e73540d7cd · outbound

This paper cites Deep-fus: A deep learning platform for functional ultrasound imaging of the brain using sparse data,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Deep-fus: A deep learning platform for functional ultrasound imaging of the brain using sparse data,

Reference 5

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Observation 0c002916-7c8f-4d1b-9888-4aa9aedd926f · outbound

This paper cites M2trans: Multi-modal regularized coarse-to-fine transformer for ultra- sound image super-resolution,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework M2trans: Multi-modal regularized coarse-to-fine transformer for ultra- sound image super-resolution,

Reference 6

Resolution
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Observation 13f2cbc4-be50-4580-aa66-066b7b2c0346 · outbound

This paper cites Functional ultrasound localization microscopy reveals brain- wide neurovascular activity on a microscopic scale,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound localization microscopy reveals brain- wide neurovascular activity on a microscopic scale,

Reference 7

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Observation 9211ca0d-7dab-43ec-b13f-325792a2646e · outbound

This paper cites Ht-rcm: Hashimoto’s thyroiditis ultrasound image classification model based on res-fct and res-cam,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Ht-rcm: Hashimoto’s thyroiditis ultrasound image classification model based on res-fct and res-cam,

Reference 8

Resolution
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Source-reported events for the cited work

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Observation d5e47f5c-6496-4127-83f9-468a2251029d · outbound

This paper cites Taichinet: Negative-positive cross-attention network for breast lesion segmentation in ultrasound images,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Taichinet: Negative-positive cross-attention network for breast lesion segmentation in ultrasound images,

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 80699179-bff2-4c89-8c6d-9c9bf23330d7 · outbound

This paper cites Func- tional ultrasound imaging of human brain activity through an acous- tically transparent cranial window,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Func- tional ultrasound imaging of human brain activity through an acous- tically transparent cranial window,

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c1fa9b4b-e57b-4a28-9c3b-3e74225145a2 · outbound

This paper cites Whole-brain functional ultrasound imaging in awake head- fixed mice,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Whole-brain functional ultrasound imaging in awake head- fixed mice,

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 8abbb35a-1527-4b73-9ee4-a154af91a478 · outbound

This paper cites Integrating genome-wide association and transcriptome prediction model identifies novel target genes for osteoporosis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Integrating genome-wide association and transcriptome prediction model identifies novel target genes for osteoporosis,

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 730c0c6a-2da5-4b29-a2d0-a9dc2c20dd48 · outbound

This paper cites Prior-guided adver- sarial learning with hypergraph for predicting abnormal connections in alzheimer’s disease,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Prior-guided adver- sarial learning with hypergraph for predicting abnormal connections in alzheimer’s disease,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b675db15-453f-4ac9-9256-0e3eb4c2988f · outbound

This paper cites Bdht: Generative ai enables causality analysis for mild cognitive impairment,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Bdht: Generative ai enables causality analysis for mild cognitive impairment,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1315a017-7f48-4661-9d8a-12f0d0f72c43 · outbound

This paper cites Eeg and functional ultrasound imaging in mobile rats,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Eeg and functional ultrasound imaging in mobile rats,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bf78daf5-a2d4-4b51-bcf3-ba65678657c8 · outbound

This paper cites Neuroimaging retrieval via adaptive ensemble manifold learning for brain disease diagnosis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neuroimaging retrieval via adaptive ensemble manifold learning for brain disease diagnosis,

Reference 16

Resolution
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Source-reported events for the cited work

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Observation 4a1c03bc-ce95-4b6a-87df-f54a87cde7d4 · outbound

This paper cites Adaptive cross-feature fusion network with inconsistency guidance for multi- modal brain tumor segmentation,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Adaptive cross-feature fusion network with inconsistency guidance for multi- modal brain tumor segmentation,

Reference 17

Resolution
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Source-reported events for the cited work

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Observation d9f24583-f246-4eaa-bf3d-57fabe7b105b · outbound

This paper cites Single-trial decoding of movement intentions using functional ultrasound neuroimaging,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Single-trial decoding of movement intentions using functional ultrasound neuroimaging,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a2bba570-8353-4ccd-8f3e-3e7c449c1b75 · outbound

This paper cites Scdm: Unified representation learning for eeg-to-fnirs cross-modal generation in mi-bcis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Scdm: Unified representation learning for eeg-to-fnirs cross-modal generation in mi-bcis,

Reference 19

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Source-reported events for the cited work

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Observation 921c4dda-b7e1-4c74-bf3b-508dc167a1e6 · outbound

This paper cites Catd: Unified representation learning for eeg-to-fmri cross-modal generation,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Catd: Unified representation learning for eeg-to-fmri cross-modal generation,

Reference 20

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Source-reported events for the cited work

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Observation bcb23d1b-06be-49ee-89d6-9d605d87b5db · outbound

This paper cites Bidirectional mapping generative adversarial networks for brain mr to pet synthesis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Bidirectional mapping generative adversarial networks for brain mr to pet synthesis,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7c612b0a-702f-46b9-ad32-fe376e4f8702 · outbound

This paper cites Fine perceptive gans for brain mr image super- resolution in wavelet domain,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Fine perceptive gans for brain mr image super- resolution in wavelet domain,

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation eab7bbb2-5eda-456f-8389-fbaa6373ffc4 · outbound

This paper cites Generative ai enables eeg super-resolution via spatio-temporal adaptive diffusion learning,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Generative ai enables eeg super-resolution via spatio-temporal adaptive diffusion learning,

Reference 23

Resolution
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Source-reported events for the cited work

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Observation f6f2633d-5e9f-4d6b-b08e-b3c802017624 · outbound

This paper cites Progressive sub- band residual-learning network for mr image super resolution,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Progressive sub- band residual-learning network for mr image super resolution,

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b8ea8d26-6404-4045-a9de-430a4384c56f · outbound

This paper cites Brain mr images super- resolution with the consistent features,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Brain mr images super- resolution with the consistent features,

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 180a0759-32dd-4cfc-b0f2-68d5aa26ea94 · outbound

This paper cites Addictive brain-network AUTHOR et al.: TITLE 13 identification by spatial attention recurrent network with feature selec- tion,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Addictive brain-network AUTHOR et al.: TITLE 13 identification by spatial attention recurrent network with feature selec- tion,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b5dfd4ff-4b19-49a7-8f47-7516c93b913e · outbound

This paper cites Addiction-related brain networks identification via graph diffusion reconstruction network,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Addiction-related brain networks identification via graph diffusion reconstruction network,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5fb25c2a-3cd5-4ca2-bb8f-451286bc46a5 · outbound

This paper cites Enhanced generative adversarial network and target sample recognition method,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Enhanced generative adversarial network and target sample recognition method,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 77417277-f781-4445-b85d-c3bcf04550aa · outbound

This paper cites A new brain network construction paradigm for brain disorder via diffusion-based graph contrastive learning,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework A new brain network construction paradigm for brain disorder via diffusion-based graph contrastive learning,

Reference 29

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 791010ab-e46a-4150-b234-dedf862589a3 · outbound

This paper cites Es- timating addiction-related brain connectivity by prior-embedding graph generative adversarial networks,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Es- timating addiction-related brain connectivity by prior-embedding graph generative adversarial networks,

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6cdae9f0-f6cf-4e00-ad65-e0181851acc8 · outbound

This paper cites Dec- gan: Decoupling generative adversarial network for detecting abnormal neural circuits in alzheimer’s disease,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Dec- gan: Decoupling generative adversarial network for detecting abnormal neural circuits in alzheimer’s disease,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b3277443-9891-40ad-9a8e-8d139b4e869d · outbound

This paper cites Adversarial learning based structural brain-network generative model for analyzing mild cognitive impairment,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Adversarial learning based structural brain-network generative model for analyzing mild cognitive impairment,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3a9c171d-fad1-4d88-b0d6-586e38336cc4 · outbound

This paper cites Functional ultrasound neu- roimaging,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound neu- roimaging,

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:15.719374Z digest=sha256:10320eb10a3ff4e50c7172a908b11f41aac6f03c3b32f64f42cb2401e88308b5

Observation ee701753-9947-4629-bb2d-246d2c99f614 · outbound

This paper cites Functional ultrasound imaging of the brain,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound imaging of the brain,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:24.811544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:15.790769Z digest=sha256:339cd73d7866aaf888b43f42f8d734168ac66e60ad4ea1fe65cee85a0738426d

Observation 4c48e406-4cc5-42c8-bc48-216ea081551d · outbound

This paper cites Functional ultrasound imaging of brain activity in human newborns,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound imaging of brain activity in human newborns,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:24.626711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:15.910816Z digest=sha256:c1796a30a19c5f09007b02e93e0272a452dcb2b9a9bc38e9b276587829e202ba

Observation 621f9e15-149f-43fc-85ae-e47a8008e143 · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:15.406732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:15.406732Z digest=sha256:6646f2dcfdd9f53258f08d09d97d932053430bd318c66daddb7471623d425aa1

Observation 73b6b0ab-47cc-444e-8b7c-e5a64b4aac3a · outbound

This paper cites Towards fairness-aware and privacy-preserving enhanced collaborative learning for healthcare,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Towards fairness-aware and privacy-preserving enhanced collaborative learning for healthcare,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:25.643690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:15.479263Z digest=sha256:0fddf27a7b7183905a3a950f7219dd8e2901c9566128556793d5f5cd4181523e

Observation d898970a-73f7-4598-9903-660f34d89348 · outbound

This paper cites Enhancing fairness in ai-enabled medical systems with the attribute neutral framework,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Enhancing fairness in ai-enabled medical systems with the attribute neutral framework,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:25.431934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:15.561365Z digest=sha256:0f02f7129c64cd0757b46864455f5e0351bd81224cc1084ffbd48ffddbcdedb2

Observation 3d4c7940-6936-4345-9ebf-8c29246e21cd · outbound

This paper cites Achieving flexible fairness metrics in federated medical imaging,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Achieving flexible fairness metrics in federated medical imaging,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:25.217396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:15.638660Z digest=sha256:cf4e53c4b09b889ed9993c359822865b65f1ad1cf63d9094448a7180fcfe79b7

Observation a4c87033-bae4-45d3-8581-337a0ce72594 · outbound

This paper cites an unresolved cited work.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:40:29.145330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:12.475595Z digest=sha256:d482cfcac5f6be38b476d9500c25be1d609b8ded5c5d4b972157c511417a6398

Observation 1df53e7c-0ac7-47be-b055-9fc0333705f7 · outbound

This paper cites STAR: Scale-wise Text-conditioned AutoRegressive image generation.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework STAR: Scale-wise Text-conditioned AutoRegressive image generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:16.592527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:16.592527Z digest=sha256:2af3bc2d746e61e789458549ca462fe80535942b4d98ccd1d77d0ce8acf540f4

Observation 58fc7aeb-92b0-4a0e-afc4-272d7f550070 · outbound

This paper cites M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:16.751557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:16.751557Z digest=sha256:a0dd524da1fdba4df10b3be927c9e773ee61ab54b51fb38b062edcea0f98518a

Observation aa72ecf5-2481-4762-9676-24393a760af9 · outbound

This paper cites Bedside functional monitoring of the dynamic brain connectivity in human neonates,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Bedside functional monitoring of the dynamic brain connectivity in human neonates,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:24.397017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:16.016190Z digest=sha256:cab2f3bc0aac15b2f6a371fbd0610ac1375427e42b0e8e6dcfd018b5ad03edcb

Observation 1ded0f00-c6f9-48c5-9d0a-ffe28fcfc18a · outbound

This paper cites an unresolved cited work.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:40:29.015543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:12.560446Z digest=sha256:5b6090a7c456119716b7a0d555756cabe23aa6ba4962e09368fe618eaa798b4b

Observation d7830edf-912c-4e0f-84f2-6daeae24be79 · outbound

This paper cites Functional ultrasound (fus) during awake brain surgery: the clin- ical potential of intra-operative functional and vascular brain mapping,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound (fus) during awake brain surgery: the clin- ical potential of intra-operative functional and vascular brain mapping,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:24.178830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:16.155450Z digest=sha256:be6675daf638236526d41580826b132036be17d78b6138717479877fc72d0cbe

Observation 71ea9136-adb0-47a6-bbb1-3cda9f0bfa14 · outbound

This paper cites Functional ultrasound imaging of the human spinal cord,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound imaging of the human spinal cord,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:23.980371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:16.245107Z digest=sha256:27a555c75bd10d16438ce0945f6561d9dec435c7ae5292fed514436cb5f813f6

Observation 6b182f23-3ef6-4585-b292-45766c2c9610 · outbound

This paper cites Conditional reconstruction is achieved by in- corporating class embeddings that guide the reconstruction process.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Conditional reconstruction is achieved by in- corporating class embeddings that guide the reconstruction process

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:28.900064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:12.642288Z digest=sha256:e54a9b695871d26619f438b16c551a52fcc1614bd314c856306ae196e235c776

Observation 7dc3b8dd-b9ee-4c5c-bd69-91be61dfc7c7 · outbound

This paper cites The emergence of functional ultrasound for noninvasive brain–computer interface,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework The emergence of functional ultrasound for noninvasive brain–computer interface,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:23.767913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:16.347650Z digest=sha256:5094ac2e561a24adcfe180f6be7f9bc1485db822cc118f448ab24e4536851015

Observation 0d878182-2f15-4d3f-8bd3-5a643419252a · outbound

This paper cites P09. 02. aa window to the brain: Monitoring the human brain using functional ultrasound (fus)-imaging in freely moving subjects with an acoustically favorable skull implant,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework P09. 02. aa window to the brain: Monitoring the human brain using functional ultrasound (fus)-imaging in freely moving subjects with an acoustically favorable skull implant,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:23.581251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:16.469372Z digest=sha256:74631d6a98101432ab40906d8389359fe2c7412669aef2df1d98e942de227373

Observation 1e4b70dc-e21f-4f7f-ad8e-b513230f332b · outbound

This paper cites ImageFolder: Autoregressive Image Generation with Folded Tokens.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:16.912616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:16.912616Z digest=sha256:d06f4193d60320ddc8dc38f85cc591f66ffa0e210d7881ed3475ca3b4214a8c9

Observation 208550cd-6cdc-4865-90b9-e8aab65d780f · outbound

This paper cites XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:17.054731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:17.054731Z digest=sha256:bf73380743728bf01bbfb5260d4ed9c8ec32f57209ec055c78d0ee62d857f425

Observation 2525d4d2-6778-4f66-8d5c-3f69ded722c1 · outbound

This paper cites Conditional diffusion model-based data augmentation for alzheimer’s prediction,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Conditional diffusion model-based data augmentation for alzheimer’s prediction,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:23.339904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:17.169425Z digest=sha256:1b76f9cd7e37e26ed3375af7d2e8d9eed433989626661ac62bc7bc91c18748d4

Observation d5fb34b0-2b5a-4ff6-b908-c5278ff07044 · outbound

This paper cites Neural discrete representation learning,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neural discrete representation learning,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:23.132162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:17.269759Z digest=sha256:fd9cd8d6acbc798777a86b8848c2b1d67e2f297e9ef98706bad3db56f99bac54

Observation 224b4f1f-9ce2-4806-bede-60805e819f84 · outbound

This paper cites Attention is all you need,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Attention is all you need,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:17.412502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:17.412502Z digest=sha256:64ea56562eb3e33e8a1bf24231a7e70f05ae80e7ed557ab44c27d82128c07649

Observation a04da235-7dfd-4ebd-ae80-70b93d568e1e · outbound

This paper cites Uwformer: Underwater image enhancement via a semi-supervised multi-scale trans- former,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Uwformer: Underwater image enhancement via a semi-supervised multi-scale trans- former,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:17.534669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:17.534669Z digest=sha256:f0b0c07e834a5fa06ca1a2d5be802726345f291e7af43601d859bf9c9fe58af9

Observation a06f3656-338e-424d-819c-bfa3d6b629f6 · outbound

This paper cites Underwater image restoration through a prior guided hybrid sense approach and extensive benchmark analysis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Underwater image restoration through a prior guided hybrid sense approach and extensive benchmark analysis,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.848542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:17.633261Z digest=sha256:08050b9478949df50c6dc224f3d085b1515a8d2069650eb604b2eecf232b94f1

Observation 7fa41d92-bb5f-49f7-a435-e1b7635172a7 · outbound

This paper cites Learning structured output representa- tion using deep conditional generative models,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Learning structured output representa- tion using deep conditional generative models,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.681758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:17.737176Z digest=sha256:ffa3dcb49e70dba9b7b6934f60b536aa04d22c1f6bc7bfea6f2eade361ec036d

Observation 8ceb92c0-3d1f-4dbb-9331-ccf814acaa64 · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Large scale GAN training for high fidelity natural image synthesis,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:17.841501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:17.841501Z digest=sha256:8b27faea0cdebe9179a40c83ab065c0280d1a4c3c8eda83d7e2257d5317236ac

Observation 77c19b11-7bda-4327-a173-24abd8c1af3f · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Stylegan-xl: Scaling stylegan to large diverse datasets,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.489430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:17.936965Z digest=sha256:4949601b8fc1460c26ee0e23ea76ea859df3a7bbdd4e02599e34c11063290ccc

Observation b7c002db-4a5b-49b0-8387-9dc43b6600bf · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Taming transformers for high- resolution image synthesis,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:18.033873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:18.033873Z digest=sha256:0c8c01df6efbaee61b01d306721f27a2bcbca2ffc46f3c384845e02c6f599757

Observation c4cec0da-16fb-4e27-b6c9-a1e28cc68334 · outbound

This paper cites Scalable diffusion models with transformers,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Scalable diffusion models with transformers,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:18.150734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:18.150734Z digest=sha256:65662035d9ba43c3ffe6e8aa352b19b30e8b62702ec31f82c290a21c79b0b02d

Observation 178e66c3-98cd-4c0f-8603-09c023376c2f · outbound

This paper cites Decoupled Weight Decay Regularization.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Decoupled Weight Decay Regularization

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:18.238755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:18.238755Z digest=sha256:ae231c9943d3ae5510f6b89e0dc064b616fb4c0cc04b4ce0f42a8026619c7f2a

Observation cbf3ec3a-2aea-470d-a837-0b933a7001db · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework SGDR: stochastic gradient descent with warm restarts,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.207968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:18.316511Z digest=sha256:911421634bd2f0099e39363efec929edec0dc8819667c7f9cdd62584ba747476

Observation 6ad4333a-e87d-4f41-aad4-a2d3df097d02 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Image quality assessment: from error visibility to structural similarity,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:18.415716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:18.415716Z digest=sha256:c6b92b3c6be81f11df67aa416df43fb3b6efd7501e30a2adca66594ec448cff9

Observation 4d2d20a4-c29e-465c-b911-5e5e9a3e1092 · outbound

This paper cites Multiscale structural similarity for image quality assessment,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Multiscale structural similarity for image quality assessment,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:22.042969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:18.541836Z digest=sha256:47a806815d51e890bfcb5f362a8974f4e389a4bcb6db73a496c941a540106181

Observation 489afe04-3812-4e14-9271-ff6b9538faf7 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:18.624966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:18.624966Z digest=sha256:45cc988ad01f8ec85b7266a1b29daadeff8b22a63fc4abba835fc8228edc42f5

Observation c2629d0f-e217-4d7c-bbda-d8cd71c13afc · outbound

This paper cites Flexible brain–computer interfaces,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Flexible brain–computer interfaces,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:21.780672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:18.743426Z digest=sha256:6ad7f5c62b482b5105bfff35a9318a85b5ea897d4d341c01d3062029722a52d6

Observation 6583a6bc-e800-45df-8d76-7aab924d7f56 · outbound

This paper cites Interface, interaction, and in- telligence in generalized brain–computer interfaces,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Interface, interaction, and in- telligence in generalized brain–computer interfaces,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:21.628270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:18.838921Z digest=sha256:cf307c8c7520ae0624b05a65bcd8cd1d76aa901829219a84387658a29c4f831d

Observation e5c9eb45-d7c6-4205-b248-5372ae3fd332 · outbound

This paper cites The current re- search of combining multi-modal brain-computer interfaces with virtual reality,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework The current re- search of combining multi-modal brain-computer interfaces with virtual reality,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:21.416782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:18.924759Z digest=sha256:ebb4d0cda76565b96a4a9828c1dbcec6d12c0b83e65bd2badbe03ba060ba842b

Observation c240a052-bc72-43a5-80ce-7b5665f6f57b · outbound

This paper cites Neuromodulation of brain states,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neuromodulation of brain states,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:19.050354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:19.050354Z digest=sha256:70e1fec7fe7144b4829f19a6fd285a33a920d80989ed4df4f174e5cab2fcf926

Observation 742d9917-61b1-4dfd-beeb-3a92e2427390 · outbound

This paper cites Neuromodulation for chronic pain,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neuromodulation for chronic pain,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:21.247780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:19.151650Z digest=sha256:d3c14a6faf4ba022cec293ed1cf3f4b51b24d83ec6513a54a0e83a735fe24b9c

Observation c1bd2cd9-389f-4c00-b667-172fd91057a2 · outbound

This paper cites Neuro- modulation in epilepsy: state-of-the-art approved therapies,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neuro- modulation in epilepsy: state-of-the-art approved therapies,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:20.995246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:19.228146Z digest=sha256:1a442c9ff93fc2ff9267f4635bc3f6911291eabb903846bd4b2cd97639828bb7

Observation 9367322d-79f5-488f-8ff6-28a8f0bdb195 · outbound

This paper cites Multi-modal mood reader: Pre-trained model empowers cross-subject emotion recognition,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Multi-modal mood reader: Pre-trained model empowers cross-subject emotion recognition,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:20.848964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:19.349983Z digest=sha256:498acc8eac0c8379246ada2cb46577636be8d5929d6f614da1995ec295f3844a

Observation bcd9de86-889a-489f-9ca3-1428c1645de5 · outbound

This paper cites Smart diagnosis assistance method to solve results of inaccurate classification of image, and terminal based on medical images,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Smart diagnosis assistance method to solve results of inaccurate classification of image, and terminal based on medical images,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:20.693750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:40:19.471244Z digest=sha256:df6813c082ba89373c47bcc9b0e49e09e265ddeccae8dca8bdc39ca94e66ba51

Pith citing papers

No inbound Pith citation observations are available.