Paper Citation Record · LEDGER

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2403.11207.

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

pith.paper-citation-record.v1
2403.11207 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:57:26.462801Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:59:26.181163Z

Reference resolution

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aeddaaf4-f0d0-4ba4-9fd7-4b33978d5576 · inbound

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding cites this paper.

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 15

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Observation 31a03874-0bba-499c-8290-e97c51f12e77 · inbound

COBRA: A Continual Learning Approach to Vision-Brain Understanding cites this paper.

COBRA: A Continual Learning Approach to Vision-Brain Understanding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 8

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Observation f4ff5a58-3834-4e69-bd62-5c11bbd8f869 · inbound

UniBrain: A Unified Model for Cross-Subject Brain Decoding cites this paper.

UniBrain: A Unified Model for Cross-Subject Brain Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 43

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Observation c825ddf4-71b2-4320-9a98-a53a6c516c9a · inbound

BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities cites this paper.

BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 46

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Observation a015290c-3425-4805-b2df-0faeacf1de28 · inbound

Scaling laws for decoding images from brain activity cites this paper.

Scaling laws for decoding images from brain activity MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 17

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Observation 3b56e997-2fe4-4ae2-aa4a-be5cc730abfc · inbound

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments cites this paper.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 60

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Observation 076386d5-fdce-4daf-b678-e9327a72c315 · inbound

TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding cites this paper.

TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 3

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Observation 4465d734-2ddc-4cbe-9bec-b069082bf992 · inbound

Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data cites this paper.

Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 41

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Observation e29f62a0-f557-4e43-9dbe-1d36d8dc187a · inbound

Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI cites this paper.

Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 12

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Observation 3a4e7a3a-b4dc-4adf-9c35-97594122dfc8 · inbound

Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants cites this paper.

Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 26

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Observation 6fef2ce4-35f2-40b0-869f-51ab06fc84a5 · inbound

MindShot: Multi-Shot Video Reconstruction from fMRI with LLM Decoding cites this paper.

MindShot: Multi-Shot Video Reconstruction from fMRI with LLM Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 16

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Observation 01dd4d53-74a5-4eab-bc54-1ba57cb939aa · inbound

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding cites this paper.

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 27

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Observation 60e4ddef-81aa-4dca-b673-9c48203094e7 · inbound

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI cites this paper.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 9

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Observation dfe5ea84-3f06-4acc-83ac-98045b9a20a6 · inbound

Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli cites this paper.

Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:41:25.984950Z

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Observation 47843e82-d203-48ee-8a4a-84ce0cb8fba3 · inbound

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review cites this paper.

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 34

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Observation 72fdcee3-5aa5-45c8-b4e4-40409ac0b356 · inbound

Hi-DREAM: Brain-Inspired Hierarchical Diffusion for fMRI-to-Image Reconstruction via ROI Encoder and VisuAl Mapping cites this paper.

Hi-DREAM: Brain-Inspired Hierarchical Diffusion for fMRI-to-Image Reconstruction via ROI Encoder and VisuAl Mapping MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 13

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Observation dd6937aa-7f05-4b41-becb-92992226a0da · inbound

A cross-species neural foundation model for end-to-end speech decoding cites this paper.

A cross-species neural foundation model for end-to-end speech decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:02:04.236025Z

Source-reported events for the cited work

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Observation 418658ce-bcf7-4ee9-96df-0e39fd0d13d2 · inbound

BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain cites this paper.

BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 46

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Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding cites this paper.

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:58.675353Z

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Observation e6a45c20-86a9-4688-987c-86fde03a6b46 · inbound

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity cites this paper.

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.362017Z

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Observation ec2e1652-72af-4bf2-a113-096c055a9954 · inbound

Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding cites this paper.

Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:02.955890Z

Source-reported events for the cited work

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Observation 7fc75d1f-623c-4d37-987c-c27363502d09 · inbound

Interpreting V1 Population Activity via Image-Neural Latent Representation Alignment cites this paper.

Interpreting V1 Population Activity via Image-Neural Latent Representation Alignment MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 43

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Observation 4388a426-5aba-4bcd-8791-9a6c04ffd4be · inbound

A foundation model of vision, audition, and language for in-silico neuroscience cites this paper.

A foundation model of vision, audition, and language for in-silico neuroscience MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 96

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Observation f6f91a14-efdc-4321-ab2d-bb6d98520243 · inbound

Multi-Level Bidirectional Biomimetic Learning for EEG-Based Visual Decoding cites this paper.

Multi-Level Bidirectional Biomimetic Learning for EEG-Based Visual Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:16:07.645555Z

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Observation 44e8f522-657a-44bc-87da-4fa2ba56400c · inbound

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction cites this paper.

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 81

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Observation e3003c2e-089d-4640-8fc6-e20f8afaf110 · inbound

FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decoding cites this paper.

FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 19

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From Activation to Specificity: Automating Counterfactual Testing of Visual Representations in the Human Brain cites this paper.

From Activation to Specificity: Automating Counterfactual Testing of Visual Representations in the Human Brain MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 23

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Observation ac3f3e41-54ed-4709-8b2d-2e84f74325e4 · inbound

MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding cites this paper.

MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 32

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Observation 3f378dbe-e8ea-4295-8a53-dd123af43253 · inbound

Brain-IT-VQA: From Brain Signals to Answers cites this paper.

Brain-IT-VQA: From Brain Signals to Answers MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.047226Z

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Channel-Oriented Design for EEG-to-Music Reconstruction cites this paper.

Channel-Oriented Design for EEG-to-Music Reconstruction MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:36:36.397972Z

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Observation f0f7cfac-f64f-449f-9605-873ae32837c4 · inbound

FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI cites this paper.

FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T08:07:45.339277Z

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Observation 4028afb7-2e9d-40e6-bc05-a8bae9ce6a28 · inbound

Can neurons speak? Semantic narration of vision at single-cell resolution cites this paper.

Can neurons speak? Semantic narration of vision at single-cell resolution MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:25.385888Z

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Observation 5ddf37c8-aecf-497b-a2ad-0682bfd60bba · inbound

Retrieval-Based Brain Decoding by Alignment, not Complexity cites this paper.

Retrieval-Based Brain Decoding by Alignment, not Complexity MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:59:26.183075Z

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BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language cites this paper.

BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 13

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Observation ffa3c74b-ec59-4d4a-8bbb-25abcb339668 · inbound

Threat Vectors and the State of the Art in Defense Methods for Security in Neurotechnology cites this paper.

Threat Vectors and the State of the Art in Defense Methods for Security in Neurotechnology MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 6

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Fast Whole-Brain, Geometry-Aware Functional Alignment for Cross-Subject Decoding cites this paper.

Fast Whole-Brain, Geometry-Aware Functional Alignment for Cross-Subject Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 33

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Predicted Cortex Is Not a Domain-General Prior: A Matched-Control Audit of Brain-Encoding Features for Video Memorability cites this paper.

Predicted Cortex Is Not a Domain-General Prior: A Matched-Control Audit of Brain-Encoding Features for Video Memorability MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 21

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Predicted Cortex Is Not a Domain-General Prior: A Matched-Control Audit of Brain-Encoding Features for Video Memorability cites this paper.

Predicted Cortex Is Not a Domain-General Prior: A Matched-Control Audit of Brain-Encoding Features for Video Memorability MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 21

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Observation 055ba699-a2be-4b55-a9f6-1f975d69782a · inbound

Real-time Reconstruction of Human Visual Perception from fMRI cites this paper.

Real-time Reconstruction of Human Visual Perception from fMRI MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 10

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