Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR | Paper Citation Record

Observation 71ce0088-ed8c-48fa-946a-a38e33e1b602 · outbound

This paper cites Foundation model for advancing healthcare: challenges, opportunities and future directions.IEEE Reviews in Biomedical Engineering, 2024.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Foundation model for advancing healthcare: challenges, opportunities and future directions.IEEE Reviews in Biomedical Engineering, 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dbf9d22-eff1-4c70-bc3d-a9b5274361a6 · outbound

This paper cites Foundation models in bioinformatics.National science review, 12(4):nwaf028, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Foundation models in bioinformatics.National science review, 12(4):nwaf028, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e40a57-5141-4f9b-9b87-1cfd0d58a95d · outbound

This paper cites Foundation models defining a new era in vision: a survey and outlook.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Foundation models defining a new era in vision: a survey and outlook.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7785bbd-a7b9-4c39-9e9b-5df9c888779c · outbound

This paper cites Foundation models for time series analysis: A tutorial and survey.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Foundation models for time series analysis: A tutorial and survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 283f18a0-3235-44ff-ae1a-b56f70e77b5e · outbound

This paper cites A foundation model for intensive care: Unlocking generalization across tasks and domains at scale.medRxiv, pages 2025–07, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR A foundation model for intensive care: Unlocking generalization across tasks and domains at scale.medRxiv, pages 2025–07, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e60c3b-b197-4299-aa6f-ca2f00e32ab5 · outbound

This paper cites Foundation models for time series forecasting.International IT Journal of Research, ISSN: 3007-6706, 2(4):144–156, 2024.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Foundation models for time series forecasting.International IT Journal of Research, ISSN: 3007-6706, 2(4):144–156, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e74e80e-982f-409b-97f1-d0580a9bafd5 · outbound

This paper cites A foundational vision transformer improves diagnostic performance for electrocardiograms.NPJ Digital Medicine, 6(1):108, 2023.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR A foundational vision transformer improves diagnostic performance for electrocardiograms.NPJ Digital Medicine, 6(1):108, 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4db549d-9ee3-4e7c-8310-f33ecdf4488c · outbound

This paper cites Foundation models in healthcare: Opportunities, risks & strategies forward.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Foundation models in healthcare: Opportunities, risks & strategies forward

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fd92282-e249-456b-a4c3-ce665ca0dbb3 · outbound

This paper cites Foundation models for electronic health records: representation dynamics and transferability.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Foundation models for electronic health records: representation dynamics and transferability

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d98fb6-fc4f-4e11-9548-518ff9f57f81 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 062043b2-970d-4082-9b8f-63b89ed57b3b · outbound

This paper cites Multi-scale 3d deep convolutional neural network for hyperspectral image classification.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Multi-scale 3d deep convolutional neural network for hyperspectral image classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970a5a1f-d6c3-4b6e-ad29-05202256510a · outbound

This paper cites Masked autoencoders are scalable vision learners.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Masked autoencoders are scalable vision learners

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f5f2c2-3b5a-4b5a-af5e-f25833c2686a · outbound

This paper cites Deep residual learning for image recognition, 2015.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Deep residual learning for image recognition, 2015

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a935685d-8c2d-43d6-a108-2d3a57aac6b3 · outbound

This paper cites Bag of tricks for image classification with convolutional neural networks.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Bag of tricks for image classification with convolutional neural networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2822cc-61d8-4fec-97d1-d82d50bcb9b3 · outbound

This paper cites Cross attention network for few-shot classification.Advances in neural information processing systems, 32, 2019.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Cross attention network for few-shot classification.Advances in neural information processing systems, 32, 2019

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 549994ea-ade7-442f-aa24-db570b248c18 · outbound

This paper cites Crossvit: Cross-attention multi-scale vision trans- former for image classification.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Crossvit: Cross-attention multi-scale vision trans- former for image classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 605ff782-4ab6-496c-b4b6-20ad93ad8248 · outbound

This paper cites Ccnet: Criss-cross attention for semantic segmentation.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Ccnet: Criss-cross attention for semantic segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cb53573-3757-4cce-9b22-9a934e0df774 · outbound

This paper cites Serialized ehr make for good text representations.arXiv preprint arXiv:2510.13843, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Serialized ehr make for good text representations.arXiv preprint arXiv:2510.13843, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82c3326e-f27b-42a9-b2fc-f3867fc339ae · outbound

This paper cites Clio: Policy-aware foundation models for ehr as controlled dynamical systems.Authorea Preprints, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Clio: Policy-aware foundation models for ehr as controlled dynamical systems.Authorea Preprints, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e888b28-1794-4fd0-8f28-b50a9c69230e · outbound

This paper cites Structured Semantics from Unstructured Notes: Language Model Approaches to EHR-Based Decision Support.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Structured Semantics from Unstructured Notes: Language Model Approaches to EHR-Based Decision Support

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c887548-d482-47d7-9fbc-adf7344c08bb · outbound

This paper cites ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be78e89-680d-49bf-ae59-2d44d57f0c18 · outbound

This paper cites A Collection of Innovations in Medical AI for patient records in 2024.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR A Collection of Innovations in Medical AI for patient records in 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531b4bcf-0180-4e0c-b35d-7b39f8a0e13f · outbound

This paper cites Latent physiology as language: A state-space foundation model for multimodal icu and ehr representation learning.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Latent physiology as language: A state-space foundation model for multimodal icu and ehr representation learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b8c817-d378-423a-b088-36db5c57b71f · outbound

This paper cites Text as an inductive bias: A novel foundation model for electronic health records.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Text as an inductive bias: A novel foundation model for electronic health records

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dcf0f1d-a976-480b-bacf-3c04b8c48db4 · outbound

This paper cites Foundation models for physiological signals: Opportunities and challenges.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Foundation models for physiological signals: Opportunities and challenges

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd13137-18cb-45ba-bdbe-f4b4a17e1c39 · outbound

This paper cites Large-scale Training of Foundation Models for Wearable Biosignals.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Large-scale Training of Foundation Models for Wearable Biosignals

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0db8077-0fa8-405c-8011-0c06d87983c8 · outbound

This paper cites Gfmbench-api: A standardized interface for benchmarking genomic foundation models.bioRxiv, pages 2026–02, 2026.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Gfmbench-api: A standardized interface for benchmarking genomic foundation models.bioRxiv, pages 2026–02, 2026

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be85a4f-b7d0-46c6-9ddc-42897f55a6b8 · outbound

This paper cites Mutbert: probabilistic genome representation improves genomics foundation models.bioinformatics, 41(Supplement_1):i294–i303, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Mutbert: probabilistic genome representation improves genomics foundation models.bioinformatics, 41(Supplement_1):i294–i303, 2025

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bfe7254-86b0-43ff-acbf-af20c52a1578 · outbound

This paper cites Sleepfm: Multi-modal representation learning for sleep across brain activity, ecg and respiratory signals.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Sleepfm: Multi-modal representation learning for sleep across brain activity, ecg and respiratory signals

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a53c7149-0e15-4fce-a58c-1609e1d88c1a · outbound

This paper cites Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b0cb3c-63e9-4f3d-96d6-71f657af24da · outbound

This paper cites JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a125b686-1a0d-4d50-8b5a-aa5426d2daa6 · outbound

This paper cites Clinical ModernBERT: An efficient and long context encoder for biomedical text.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Clinical ModernBERT: An efficient and long context encoder for biomedical text

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a25c37-b3a3-4698-8766-0056dfbc9026 · outbound

This paper cites EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34747e5c-36f1-48f1-b83a-d0a23c07db5c · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR A simple framework for contrastive learning of visual representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cec0051-0702-4e46-a63f-cfcc2e4ac499 · outbound

This paper cites Contrastive representation distillation.arXiv, 2019.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Contrastive representation distillation.arXiv, 2019

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3fde00c-93bb-490b-a97c-4935a389e284 · outbound

This paper cites Contrastive learning of preferences with a contextual infonce loss, 2024.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Contrastive learning of preferences with a contextual infonce loss, 2024

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87bb505b-84e3-464c-b699-3f3148146318 · outbound

This paper cites Clinical decision support using pseudo-notes from multiple streams of ehr data.npj Digital Medicine, 8(1):394, July 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Clinical decision support using pseudo-notes from multiple streams of ehr data.npj Digital Medicine, 8(1):394, July 2025

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef45db9-19dc-4a6f-9a34-53f51513162e · outbound

This paper cites Med-bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.NPJ digital medicine, 4(1):86, 2021.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Med-bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.NPJ digital medicine, 4(1):86, 2021

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37e86431-f70b-4c59-9943-28f6bee71613 · outbound

This paper cites Using foundation models to prescribe patients proper antibiotics.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Using foundation models to prescribe patients proper antibiotics

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea708dd-c628-47fb-9dd4-8fe0d6502536 · outbound

This paper cites The shaky foundations of large language models and foundation models for electronic health records.npj digital medicine, 6(1):135, 2023.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR The shaky foundations of large language models and foundation models for electronic health records.npj digital medicine, 6(1):135, 2023

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd270c21-657c-4196-952d-b0c5d9a817f9 · outbound

This paper cites Emergency Department Decision Support using Clinical Pseudo-notes.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Emergency Department Decision Support using Clinical Pseudo-notes

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02480c71-ae75-4d2a-ba55-7a4eb08b5749 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0dabf80-0b02-4344-b2ee-eb00d5becb67 · outbound

This paper cites Cehr-bert: Incorporating temporal information from structured ehr data to improve prediction tasks.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Cehr-bert: Incorporating temporal information from structured ehr data to improve prediction tasks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80478b49-cc2e-42db-913c-183c156c1783 · outbound

This paper cites CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d7c7779-954d-4e41-97b5-f2c3f0f93342 · outbound

This paper cites Event stream gpt: a data pre-processing and modeling library for generative, pre-trained transformers over continuous-time sequences of complex events.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Event stream gpt: a data pre-processing and modeling library for generative, pre-trained transformers over continuous-time sequences of complex events

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e925ede-eab5-45d7-85b1-3863eb81a854 · outbound

This paper cites LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bbb762a-8828-4a97-bdb9-a287427ae967 · outbound

This paper cites Llm4ts: Aligning pre-trained llms as data-efficient time-series forecasters.ACM Transactions on Intelligent Systems and Technology, 16(3):1–20, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Llm4ts: Aligning pre-trained llms as data-efficient time-series forecasters.ACM Transactions on Intelligent Systems and Technology, 16(3):1–20, 2025

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d3b3ce-a279-49b5-b49e-89fca62d718a · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, 2025

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f6fba41-51d1-405e-9276-18a888aa37b0 · outbound

This paper cites Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25383fc7-b433-4dac-9d61-90cd2b091088 · outbound

This paper cites Clinical text summarization: Adapting large language models can outperform human experts.Research Square, 2023.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Clinical text summarization: Adapting large language models can outperform human experts.Research Square, 2023

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 515a4e98-f1dd-47e3-b2ee-123d2635eedb · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa9920be-a73a-425c-875f-0cf97aa21d55 · outbound

This paper cites Multimodal llms for health grounded in individual- specific data.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Multimodal llms for health grounded in individual- specific data

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b809f599-b1a4-4632-a5f7-f53e6e25f76f · outbound

This paper cites A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abe432f6-5db9-4c39-94ca-9dba13e56c49 · outbound

This paper cites Deep residual learning for image recognition.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Deep residual learning for image recognition

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9ba74c2-a7d6-4ca1-a772-ec498b59d1d1 · outbound

This paper cites A computer-aided detection system for the detection of lung nodules based on 3d-resnet.Applied Sciences, 9(24):5544, 2019.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR A computer-aided detection system for the detection of lung nodules based on 3d-resnet.Applied Sciences, 9(24):5544, 2019

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47aefb44-e1d2-434b-a78f-26e8b3391a5e · outbound

This paper cites Introducing transfer learning to 3d resnet-18 for alzheimer’s disease detection on mri images.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Introducing transfer learning to 3d resnet-18 for alzheimer’s disease detection on mri images

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5187c0a3-c4d8-4774-b60f-7c0eb93328ba · outbound

This paper cites Automatic segmentation of head and neck (h&n) primary tumors in pet and ct images using 3d-inception-resnet model.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Automatic segmentation of head and neck (h&n) primary tumors in pet and ct images using 3d-inception-resnet model

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953ebcec-8861-4147-8ad3-e5197b5c40f1 · outbound

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

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR An image is worth 16x16 words: Transformers for image recognition at scale

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ff43fe-66a0-4b53-95c1-e55bb1929083 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Swin transformer: Hierarchical vision transformer using shifted windows

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f263ed4e-2edd-4869-b7d6-94b73b9a7712 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9687b4f0-ff7a-4dea-b1f2-f32df5e7958d · outbound

This paper cites Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking.Medical Image Analysis, 97:103285, 2024.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking.Medical Image Analysis, 97:103285, 2024

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840adb31-61f7-48b0-b628-e2bfe8ee91fd · outbound

This paper cites MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cac5a0d-1e7d-4c3e-8f40-b05ad7b5296a · outbound

This paper cites Large-Scale 3D Medical Image Pre-training with Geometric Context Priors.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffefd696-3c2a-4b9e-b5dc-57804a5049dd · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Emerging properties in self-supervised vision transformers

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e260cd3-e4ae-4b27-936c-6b96d63a525d · outbound

This paper cites ibot: Image bert pre-training with online tokenizer.International Conference on Learning Representations (ICLR), 2022.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR ibot: Image bert pre-training with online tokenizer.International Conference on Learning Representations (ICLR), 2022

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac185ddb-bb9d-42cb-a40b-0bd5325e9f80 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR DINOv2: Learning Robust Visual Features without Supervision

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f34ef761-2824-4f5e-aeb6-2420c8aec16e · outbound

This paper cites Learning transferable visual models from natural language supervision.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Learning transferable visual models from natural language supervision

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df697c11-6b43-4ee9-99f3-5f09e302a6f7 · outbound

This paper cites FlashAttention-2: Faster attention with better parallelism and work partitioning.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR FlashAttention-2: Faster attention with better parallelism and work partitioning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae0fd78f-d815-40db-a9da-72032f1a76ea · outbound

This paper cites Unetr++: delving into efficient and accurate 3d medical image segmentation.IEEE Transactions on Medical Imaging, 2024.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Unetr++: delving into efficient and accurate 3d medical image segmentation.IEEE Transactions on Medical Imaging, 2024

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef871b2f-e432-493f-ba21-685535e2b092 · outbound

This paper cites Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b6b684-74c5-4492-b858-00af34fde578 · outbound

This paper cites OCTCube-M: A 3D multimodal optical coherence tomography foundation model for retinal and systemic diseases with cross-cohort and cross-device validation.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR OCTCube-M: A 3D multimodal optical coherence tomography foundation model for retinal and systemic diseases with cross-cohort and cross-device validation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48ca34e-1301-471c-bc05-0ce6088f3a5a · outbound

This paper cites Wearable Accelerometer Foundation Models for Health via Knowledge Distillation.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Wearable Accelerometer Foundation Models for Health via Knowledge Distillation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d115d9af-47fd-491e-89d3-48bbf2d30579 · outbound

This paper cites Brandon Westover, and Jimeng Sun.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Brandon Westover, and Jimeng Sun

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f764fb15-fa19-4cb7-aee5-84a906763b86 · outbound

This paper cites Pearson Education India, 1999.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Pearson Education India, 1999

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f81edf5-6246-4956-ab5b-bd98047c1849 · outbound

This paper cites SIAM, 1992.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR SIAM, 1992

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4edc4db9-983c-4af6-aa71-8d11781e4a7d · outbound

This paper cites Towards on-device foundation models for raw wearable signals.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Towards on-device foundation models for raw wearable signals

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33235473-7146-4d33-98d3-05baa713a8bc · outbound

This paper cites Himae: Hierarchical masked autoencoders discover resolution-specific structure in wearable time series.arXiv preprint arXiv:2510.25785, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Himae: Hierarchical masked autoencoders discover resolution-specific structure in wearable time series.arXiv preprint arXiv:2510.25785, 2025

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef476e6d-d634-4c30-a3ef-4f5e0a616756 · outbound

This paper cites Meds: Building models and tools in a reproducible health ai ecosystem.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Meds: Building models and tools in a reproducible health ai ecosystem

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faa31e08-3cb9-4cac-9542-96259fd15fb8 · outbound

This paper cites Meds decentralized, extensible validation (meds-dev) benchmark: Establishing reproducibility and comparability in ml for health.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Meds decentralized, extensible validation (meds-dev) benchmark: Establishing reproducibility and comparability in ml for health

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 568ae691-71b3-4b43-b09b-fae90a12beed · outbound

This paper cites Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0311011b-bb66-4f86-b6e9-6becccbdacd0 · outbound

This paper cites CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b354f28-df9e-47a2-83e0-1edf5d55ea92 · outbound

This paper cites Learning the natural history of human disease with generative transformers.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Learning the natural history of human disease with generative transformers

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b86e719b-97b2-46e6-ab70-de8a96bfc080 · outbound

This paper cites Self-supervised contrastive pre-training for time series via time-frequency consistency.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Self-supervised contrastive pre-training for time series via time-frequency consistency

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17d32511-b8b5-4658-a35b-e1266c52ce90 · outbound

This paper cites A comprehensive survey on contrastive learning.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR A comprehensive survey on contrastive learning

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf514dc-6215-48bc-a679-343918c01d36 · outbound

This paper cites A survey on contrastive self-supervised learning.Technologies, 9(1):2, 2020.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR A survey on contrastive self-supervised learning.Technologies, 9(1):2, 2020

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d55e90ec-12a3-4b71-9aa5-ccaab1bf96b0 · outbound

This paper cites Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469730a4-7f5f-431a-aa91-71a28d5c3038 · outbound

This paper cites Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fcb4c92-04f9-4e93-9b71-409d7bff0dd4 · outbound

This paper cites Lind, Eric Monteiro, and Anis Yazidi.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Lind, Eric Monteiro, and Anis Yazidi

Reference 88

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 048b8030-c89b-4b07-ab97-0d4cffe14d8a · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: An introduc- tion to concepts and methods.Machine learning, 110(3):457–506, 2021.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Aleatoric and epistemic uncertainty in machine learning: An introduc- tion to concepts and methods.Machine learning, 110(3):457–506, 2021

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec0ee8bd-a638-48b7-aa0d-dcc080581833 · outbound

This paper cites Towards trustworthy ai in healthcare: Epistemic uncertainty estimation for clinical decision support.Journal of Personalized Medicine, 15(2):58, 2025.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Towards trustworthy ai in healthcare: Epistemic uncertainty estimation for clinical decision support.Journal of Personalized Medicine, 15(2):58, 2025

Reference 90

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b876ac5-2ec0-4b09-a85a-200e19d42d75 · outbound

This paper cites Mimic-iii, a freely accessible critical care database.Scientific data, 3(1):1–9, 2016.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Mimic-iii, a freely accessible critical care database.Scientific data, 3(1):1–9, 2016

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf2be6fb-aa0a-4588-b689-01fd07c34868 · outbound

This paper cites Mimic-iv, a freely accessible electronic health record dataset.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Mimic-iv, a freely accessible electronic health record dataset

Reference 92

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers