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Paper Citation Record · LEDGER

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications

As of 11 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.20622.

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

pith.paper-citation-record.v1
2508.20622 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:02:50.570550Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 281b559e-9fca-4e31-b580-1b93ab3537d8 · outbound

This paper cites Attention Is All You Need,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Attention Is All You Need,

Reference 1

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Observation 5bf19387-53e5-44d7-b5d9-e78af6acd7fe · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b3893e81-8c15-4fd8-a280-8299452b86ad · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

Reference 3

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Source-reported events for the cited work

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Observation c6f0a0c2-d160-454d-a377-77428d5961ae · outbound

This paper cites Improving Language Understanding by Generative Pre-Training,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Improving Language Understanding by Generative Pre-Training,

Reference 4

Resolution
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Source-reported events for the cited work

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Observation 3634da4e-6e2f-4c4d-b984-1e89898f365a · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications BEiT: BERT Pre-Training of Image Transformers,

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e8796df6-440c-4548-8d02-c80152657351 · outbound

This paper cites DNABERT: pre- trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications DNABERT: pre- trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome,

Reference 6

Resolution
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Source-reported events for the cited work

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Observation c0b3a516-f831-4241-bdea-ce01a24ab136 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6626a5d6-c595-4e04-8f98-978e604098a5 · outbound

This paper cites FinBERT: A Pretrained Language Model for Financial Communications.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications FinBERT: A Pretrained Language Model for Financial Communications

Reference 8

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0c9981b5-5bac-4deb-b68d-18f395710582 · outbound

This paper cites Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aaa4b425-c631-4940-a1ea-8cc06125d10f · outbound

This paper cites A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring,

Reference 10

Resolution
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Source-reported events for the cited work

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Observation d64692e5-2697-4d97-ae7a-fc11497b5ec8 · outbound

This paper cites Structural Health and Condition Monitoring with Acoustic Emission and Guided Ultrasonic Waves: What about Long-Term Durability of Sensors, Sensor Coupling and Measurement Chain?.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Structural Health and Condition Monitoring with Acoustic Emission and Guided Ultrasonic Waves: What about Long-Term Durability of Sensors, Sensor Coupling and Measurement Chain?

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 17c75144-e4cd-4e39-9130-4a039526740e · outbound

This paper cites Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring,

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 69f1d360-1741-49f9-b7c6-a9fa6478db9c · outbound

This paper cites Review of Ultrasonic Ranging Methods and Their Current Challenges,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Review of Ultrasonic Ranging Methods and Their Current Challenges,

Reference 13

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Source-reported events for the cited work

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Observation 914a89c4-5243-4831-9586-77b2b662808c · outbound

This paper cites Analysis and Validation of Ultrasonic Probes in Liquid Level Monitoring Systems,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Analysis and Validation of Ultrasonic Probes in Liquid Level Monitoring Systems,

Reference 14

Resolution
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Source-reported events for the cited work

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Observation a0228e7f-2f37-4f0e-9df2-c3a831193955 · outbound

This paper cites Design and Implementation of an Ultrasonic Flowmeter Based on the Cross-Correlation Method,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Design and Implementation of an Ultrasonic Flowmeter Based on the Cross-Correlation Method,

Reference 15

Resolution
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Source-reported events for the cited work

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Observation f1b88f0c-71b5-4b9c-9865-4c4e28cf0afb · outbound

This paper cites A comprehensive review on accuracy in ultrasonic flow measurement using reconfigurable systems and deep learning approaches,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications A comprehensive review on accuracy in ultrasonic flow measurement using reconfigurable systems and deep learning approaches,

Reference 16

Resolution
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Source-reported events for the cited work

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Observation c9a7543a-d33e-4a1b-950e-0badcbce52ca · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Masked Autoencoders Are Scalable Vision Learners

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 3b0d482b-211b-494c-afd9-24a99c6140fa · outbound

This paper cites SimMIM: a Simple Framework for Masked Image Modeling,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications SimMIM: a Simple Framework for Masked Image Modeling,

Reference 18

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation abe37a74-5ccb-4dbb-bef7-c83edcb04062 · outbound

This paper cites Generative Pretraining from Pixels,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Generative Pretraining from Pixels,

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 340e890e-97ae-4014-9149-841490877549 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Emerging Properties in Self-Supervised Vision Transformers,

Reference 20

Resolution
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Source-reported events for the cited work

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Observation 9b97ebe1-ad58-49b2-964b-6e2ba24305a1 · outbound

This paper cites Masked Autoencoders in Computer Vision: A Comprehensive Survey,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Masked Autoencoders in Computer Vision: A Comprehensive Survey,

Reference 21

Resolution
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Source-reported events for the cited work

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Observation 1c01393d-f53c-4903-a894-bfc2b5ce6c9b · outbound

This paper cites Pose Mask: A Model-Based Augmentation Method for 2D Pose Estimation in Classroom Scenes Using Surveillance Images,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Pose Mask: A Model-Based Augmentation Method for 2D Pose Estimation in Classroom Scenes Using Surveillance Images,

Reference 22

Resolution
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Source-reported events for the cited work

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Observation 66d44447-f825-4311-bfd6-13bb51a6431b · outbound

This paper cites An Advanced Chicken Face Detection Network Based on GAN and MAE,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications An Advanced Chicken Face Detection Network Based on GAN and MAE,

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 284add3f-3092-4b88-94e0-6074b873fb8f · outbound

This paper cites Transfer Learning with Self-Supervised Vision Transformer for Large-Scale Plant Identification,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Transfer Learning with Self-Supervised Vision Transformer for Large-Scale Plant Identification,

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 2434e436-dda7-448b-ba56-959ac0286a74 · outbound

This paper cites Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification,

Reference 25

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8fe7885b-b46f-4f30-94c5-57504b6947f6 · outbound

This paper cites Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors,

Reference 26

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2243b8cf-1592-4649-b84d-f214340a00b9 · outbound

This paper cites Self-supervised learning for medical image classification: a systematic review and implementation guidelines,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Self-supervised learning for medical image classification: a systematic review and implementation guidelines,

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 2026-08-11T06:34:44.6726+00:00.

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Observation 9024611f-2bd5-43ca-8473-a4cc3b79d986 · outbound

This paper cites Efficient Medical Image Assessment via Self-supervised Learning,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Efficient Medical Image Assessment via Self-supervised Learning,

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:47.825829Z digest=sha256:bc025de8e43e6492b5fc1bee393d144a7fb0a73846d92de022b3d7aa0030981c

Observation 31fa2c7a-8634-4281-af48-96c6ef352748 · outbound

This paper cites Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification,

Reference 29

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:02:56.524749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:48.004753Z digest=sha256:22ef619554f5ded2070edd4b954d50887ee000b675ddbe62ef854e0b812f0878

Observation 18e03b82-a9b1-4b78-bd43-1d147922e1f9 · outbound

This paper cites Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder,

Reference 30

Resolution
verified exact
doi, observed 2026-08-05T15:02:58.875553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:48.223351Z digest=sha256:e3ec2d11c9a1192bbb7762779afa4f6fbb5a5cd86c5069ba766c818c763e8a71

Observation cb9baa12-0565-4f7f-b26b-cef5ba3486d5 · outbound

This paper cites Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation,

Reference 31

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:02:56.075725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:48.376062Z digest=sha256:4abbd5edad8432ff13eb405fbd58c05decf4015460a62ed40e5597007658258f

Observation ebb3de71-1d2f-4f37-925d-9e2a7928a24f · outbound

This paper cites How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:02:55.554751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:48.483291Z digest=sha256:74dff0c561741e9547a30bc92c5c7955798294012375e8af3fb3cc7d73f0bf59

Observation d7ad8350-06d0-4dc9-a36a-a7d0ab0bf06a · outbound

This paper cites Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:02:58.534823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:48.564742Z digest=sha256:6e739369470cffaca309cc8a6aca4741aca98d317b6239c29c51ee7467007b6c

Observation 633ccdd0-308d-4bcf-aabd-0d7045b478a3 · outbound

This paper cites SatViT: Pretraining Transformers for Earth Observation,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications SatViT: Pretraining Transformers for Earth Observation,

Reference 34

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:02:55.257712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:48.674744Z digest=sha256:c78bcc0dd903463e5edae3d65a259f48b54895e95697f67ff7fd8664d40d3233

Observation 1c7c846e-c38c-4ad1-97f5-67d69586126f · outbound

This paper cites Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding,

Reference 35

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:02:54.945685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:48.784744Z digest=sha256:136e698da7ad9882390301f73b64002e8015397922a5d470d0c84e2e634fc613

Observation 9c5d259a-0dfd-452e-a8ec-050ee9406274 · outbound

This paper cites Anomaly and activity recognition in a video surveillance using Masked Autoencoder,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Anomaly and activity recognition in a video surveillance using Masked Autoencoder,

Reference 36

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:02:54.544749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:48.893349Z digest=sha256:768184cfb4b80b954bee6c0445caaa2d88c7106f094a6f673da1d21213450cea

Observation 555eb2e0-c2e3-46f4-ba67-962b09f048c9 · outbound

This paper cites Masked Autoencoders As Spatiotemporal Learners,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Masked Autoencoders As Spatiotemporal Learners,

Reference 37

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T15:02:54.064747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:49.024747Z digest=sha256:04f95c87dbb3eef7d6b0eabaa4e6011dc0ecfcdbae692c28bd6832096d661a71

Observation cfc58714-d45a-44d5-922f-d31aabb70bf8 · outbound

This paper cites MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting,

Reference 38

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:02:53.484875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:49.210757Z digest=sha256:8fe2ad306c5a8dc56a5f33dcc841a52238779885bf2eae143ad8783748c9e12a

Observation a9b06404-e90c-4ffd-9c34-22730446c8a8 · outbound

This paper cites Ti-MAE: Self-Supervised Masked Time Series Autoencoders.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T15:02:49.390950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:02:49.390950Z digest=sha256:b19124c57e2834fe6e917bb1c367c2d6fab40a69b7a42dff17622cf5c3c9588b

Observation 59ef2ee7-867f-40ac-9823-eac2e002c3c4 · outbound

This paper cites GMAEEG: A Self-Supervised Graph Masked Autoencoder for EEG Representation Learning,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications GMAEEG: A Self-Supervised Graph Masked Autoencoder for EEG Representation Learning,

Reference 40

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:02:52.855319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:49.583934Z digest=sha256:a94906fae4ef61016c0b997073e35893293132d2264ec5b3253946e57b2a6e12

Observation 4173b48a-cd69-4dbe-8a3b-7a4d3f2f6c0a · outbound

This paper cites MAEEG: Masked Auto-encoder for EEG Representation Learning.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications MAEEG: Masked Auto-encoder for EEG Representation Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T15:02:49.733105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:02:49.733105Z digest=sha256:fc857631ec47f62f13211de594b442bb0a689109152939e13092df3cc2995611

Observation 76e77700-3635-412f-afdd-a3b8d7c8a823 · outbound

This paper cites Wavefield MAE: Leveraging Large Vision Models for Ultrasonic Wavefield Pattern Analysis,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Wavefield MAE: Leveraging Large Vision Models for Ultrasonic Wavefield Pattern Analysis,

Reference 42

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:02:52.090121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:49.854756Z digest=sha256:9643792989965356d55c9ae0338621c5e37b62ab0cad724ce7dd0988f8c101c7

Observation 396a520b-0f56-45f9-b9ba-960b90f7a2cb · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Learning Multiple Layers of Features from Tiny Images,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:02:58.259880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:50.019119Z digest=sha256:699efc935a5376bf1828831a4c523c3cc2ca62746a1e02e9087b53049279f1bc

Observation 83bca2eb-47cd-43d4-8162-f4648ec72e38 · outbound

This paper cites FlexiViT: One Model for All Patch Sizes,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications FlexiViT: One Model for All Patch Sizes,

Reference 44

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:02:51.619124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:50.144825Z digest=sha256:2e4eff958f9cb810b7be9257cd3ef5abc4a5db51aa6845e815366866232cbbf2

Observation 9696b4e2-820d-47dc-9178-92f96d4b8a47 · outbound

This paper cites Exploring Long-Sequence Masked Autoencoders.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Exploring Long-Sequence Masked Autoencoders

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:02:51.220785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:50.264829Z digest=sha256:e3e54bac02199b0f73074567ce405b5f3fc1a556340ae691fd09bf6e3f122b3b

Observation 4e102723-054b-410a-9195-61a11e909127 · outbound

This paper cites Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:02:58.027724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:50.394827Z digest=sha256:855ac9451d58225da8412a3587cf79c296cdd25ac5ae60be500472fa65324cfa

Observation b3e6800f-9205-4889-b9cd-9dfc044d531b · outbound

This paper cites ImageNet: A large-scale hierarchical image database,.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications ImageNet: A large-scale hierarchical image database,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T15:02:50.570550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:02:50.570550Z digest=sha256:2ed9b3ac5a2ced33a49d49cc1d94fe3cb29fdcea2d80852160678340febba0ad

Observation 2b33b1a5-d016-465f-8ba9-a98fd6819d4d · outbound

This paper cites Available: https://cdn.openai.com/research-covers/ language-unsupervised/language_understanding_paper.pdf.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://cdn.openai.com/research-covers/ language-unsupervised/language_understanding_paper.pdf

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:03:06.261945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:43.064748Z digest=sha256:404b9cf92c80d63745323bbfd002a529feda4ef66278a1dcb18a141a85e1a052

Observation 07389bb9-9d39-4785-aea4-dcbbcd0ffae4 · outbound

This paper cites Available: https://pubs.aip.org/adv/article/10/10/105221/ 1071166/A-comprehensive-review-on-accuracy-in-ultrasonic.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://pubs.aip.org/adv/article/10/10/105221/ 1071166/A-comprehensive-review-on-accuracy-in-ultrasonic

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:03:01.620844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:45.715706Z digest=sha256:c033f10e550b0759bc3a72be559ead6672555d53c1becfd509ca785e2b39b1d9

Observation c1ab8499-3127-4e17-b454-e85289dec600 · outbound

This paper cites Available: https://www.mdpi.com/2072-666X/13/4/520.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://www.mdpi.com/2072-666X/13/4/520

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:03:03.129100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:45.274747Z digest=sha256:a07ddfecde7dee5d9eafe07b527dcf8d7c646b417d7326e4a64c2776e3bcc619

Observation be118dd8-7dc5-471e-b995-17d4a9389275 · outbound

This paper cites Available: https://aclanthology.org/N19-1423/.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://aclanthology.org/N19-1423/

Reference 4186

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:03:06.747752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:42.754750Z digest=sha256:1fa9e67a62cd2f9b9c4fcc969daf35243d57176d7eb5aa71ba493c150fad66fa

Observation bffa08f2-d5f4-4f6a-aaa0-972f962c0bd5 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/2017/file/ 3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf.

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications Available: https://proceedings.neurips.cc/paper/2017/file/ 3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf

Reference 6008

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:03:07.803035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T15:02:42.414754Z digest=sha256:49dfd0b7edfb89f7d011113678529cc5ede388940930c9b9251fad78f91218d5

Pith citing papers

No inbound Pith citation observations are available.