Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:23:04.742557Z
Paper Citation Record · LEDGER
UniBrain: A Unified Model for Cross-Subject Brain Decoding
As of 15 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 4 inbound Pith citation observations for arXiv:2412.19487.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T08:20:34.066885Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T08:23:15.066030Z
Reference resolution
60 of 60 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c0ce0ed5-8ccb-44d9-a781-64ef9f51b034 · outbound
This paper cites Flamingo: a visual language model for few-shot learning.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Flamingo: a visual language model for few-shot learning
Reference 1
- Resolution
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Observation 3d2f7a95-5968-4e4c-afc5-768c46fbc80b · outbound
This paper cites A massive 7t fmri dataset to bridge cognitive neuroscience and artificial intelligence.
UniBrain: A Unified Model for Cross-Subject Brain Decoding A massive 7t fmri dataset to bridge cognitive neuroscience and artificial intelligence
Reference 2
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Observation cf2f1ca4-f2c2-4bca-8383-25b963771cff · outbound
This paper cites Study design in fmri: basic principles.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Study design in fmri: basic principles
Reference 3
- Resolution
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Observation a3dc68ac-d497-47a5-b2f7-7fcefbdd55ed · outbound
This paper cites Layer Normalization.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Layer Normalization
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation acc9e42b-e46a-4e75-9b31-a92cab8cb2fa · outbound
This paper cites From voxels to pixels and back: Self-supervision in natural-image reconstruction from fmri.
UniBrain: A Unified Model for Cross-Subject Brain Decoding From voxels to pixels and back: Self-supervision in natural-image reconstruction from fmri
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation 6effd3e8-ac68-4d75-9b92-8c656ee0e10a · outbound
This paper cites Unsupervised learning of visual features by contrasting cluster assignments.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Unsupervised learning of visual features by contrasting cluster assignments
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a0dc270-dcb6-4a17-ba09-2913cb12e911 · outbound
This paper cites Emerg- ing properties in self-supervised vision transformers.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Emerg- ing properties in self-supervised vision transformers
Reference 7
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fce573fd-e817-4910-adb4-73fb3bfbe36a · outbound
This paper cites Spatially informed voxelwise mod- eling for naturalistic fmri experiments.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Spatially informed voxelwise mod- eling for naturalistic fmri experiments
Reference 8
- Resolution
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Observation 70c00ea7-dc3c-4669-bde9-b373103efec0 · outbound
This paper cites Mind artist: Creating artistic snapshots with human thought.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Mind artist: Creating artistic snapshots with human thought
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation c7fd4062-8e34-4780-89e0-b0658943d872 · outbound
This paper cites fmri of human visual cortex.
UniBrain: A Unified Model for Cross-Subject Brain Decoding fmri of human visual cortex
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation 3c9a7c0b-08fb-4da0-9332-36702cc8fba7 · outbound
This paper cites Alleviating the semantic gap for generalized fmri-to-image reconstruction.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Alleviating the semantic gap for generalized fmri-to-image reconstruction
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation 17382df2-38b2-4b51-947b-8797448e0084 · outbound
This paper cites Can brain state be manipulated to emphasize individual differences in functional connectivity? NeuroImage, 160:140–151, 2017.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Can brain state be manipulated to emphasize individual differences in functional connectivity? NeuroImage, 160:140–151, 2017
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 1fe9da1a-6b2e-404f-a22a-b5cba098ced4 · outbound
This paper cites Domain-adversarial training of neural networks.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Domain-adversarial training of neural networks
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation bee4ca82-a73c-42a5-8dda-66953eaf1d8e · outbound
This paper cites State and trait components of functional connectivity: indi- vidual differences vary with mental state.
UniBrain: A Unified Model for Cross-Subject Brain Decoding State and trait components of functional connectivity: indi- vidual differences vary with mental state
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation cc7d4410-9a58-4322-a72a-6422d42790fb · outbound
This paper cites Predicting the ori- entation of invisible stimuli from activity in human primary visual cortex.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Predicting the ori- entation of invisible stimuli from activity in human primary visual cortex
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation ec0ed255-cd65-42c9-837f-0cc7c9182b89 · outbound
This paper cites Decoding mental states from brain activity in humans.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Decoding mental states from brain activity in humans
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 1262624c-c0a5-4ee3-9736-10baafaafbaa · outbound
This paper cites Gaussian Error Linear Units (GELUs).
UniBrain: A Unified Model for Cross-Subject Brain Decoding Gaussian Error Linear Units (GELUs)
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 7a4be03d-025a-4479-87f2-3192d4373e83 · outbound
This paper cites Denoising dif- fusion probabilistic models.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Denoising dif- fusion probabilistic models
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation c6f00ec5-fa77-4367-9bf3-fd95a0ffbfa2 · outbound
This paper cites Generic de- coding of seen and imagined objects using hierarchical vi- sual features.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Generic de- coding of seen and imagined objects using hierarchical vi- sual features
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation a630d022-430b-438f-81ff-2f5c2a4dbaa6 · outbound
This paper cites NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation.
UniBrain: A Unified Model for Cross-Subject Brain Decoding NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation
Reference 20
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Source-reported events for the cited work
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Observation 139d8c11-0f3c-4cce-a0e5-a87dc4e27023 · outbound
This paper cites Decoding the visual and subjective contents of the human brain.Nature neuroscience, 8(5):679–685, 2005.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Decoding the visual and subjective contents of the human brain.Nature neuroscience, 8(5):679–685, 2005
Reference 21
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Observation 3b2f8828-d2fe-460c-af79-79832f924f02 · outbound
This paper cites I can see what you see.
UniBrain: A Unified Model for Cross-Subject Brain Decoding I can see what you see
Reference 22
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Source-reported events for the cited work
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Observation 67c74d0d-c3da-4905-a29a-6a26bcf177ba · outbound
This paper cites Identifying natural images from human brain activity.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Identifying natural images from human brain activity
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 36b7e9c8-3f94-465c-a571-6327211e6734 · outbound
This paper cites Segment any- thing.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Segment any- thing
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 5fa0f2b9-9a2a-419b-ae66-b06d127154fd · outbound
This paper cites Imagenet classification with deep convolutional neural net- works.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Imagenet classification with deep convolutional neural net- works
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 38c5f029-7710-40df-bcad-77224e2f81a2 · outbound
This paper cites Mind reader: Reconstructing complex images from brain activi- ties.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Mind reader: Reconstructing complex images from brain activi- ties
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation a7d0e897-8c40-4212-b306-ffd6a03b9ae1 · outbound
This paper cites Microsoft coco: Common objects in context.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Microsoft coco: Common objects in context
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation b60e5ea6-d095-4944-8bd5-80b6eae5fb88 · outbound
This paper cites Decoupled Weight Decay Regularization.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Decoupled Weight Decay Regularization
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation cec5af41-3e84-4ed5-90ab-a03656c22216 · outbound
This paper cites Minddiffuser: Controlled image recon- struction from human brain activity with semantic and struc- tural diffusion.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Minddiffuser: Controlled image recon- struction from human brain activity with semantic and struc- tural diffusion
Reference 29
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Observation 066acd4f-d874-476e-911b-e49f8901830a · outbound
This paper cites Brain diffusion for visual exploration: Cortical discov- ery using large scale generative models.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Brain diffusion for visual exploration: Cortical discov- ery using large scale generative models
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation deb285c9-a3f6-44a9-9d82-8d3fe6a03556 · outbound
This paper cites Visual image reconstruction from human brain activity using a combination of multiscale local image decoders.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Visual image reconstruction from human brain activity using a combination of multiscale local image decoders
Reference 31
- Resolution
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Observation 9a38dc45-7500-42be-ace1-5de74ce503bf · outbound
This paper cites Individual variability in functional connectivity architecture of the human brain.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Individual variability in functional connectivity architecture of the human brain
Reference 32
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Observation 19b8b8c0-6340-4401-984f-e4636eff2327 · outbound
This paper cites Encoding and decoding in fmri.Neuroimage, 56(2):400–410, 2011.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Encoding and decoding in fmri.Neuroimage, 56(2):400–410, 2011
Reference 33
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Observation ca3489be-be80-44ac-8024-5c02843b6232 · outbound
This paper cites Reconstructing visual experiences from brain activity evoked by natural movies.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Reconstructing visual experiences from brain activity evoked by natural movies
Reference 34
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Source-reported events for the cited work
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Observation 48955e9b-65bb-49d1-a1f2-720fc7de70b9 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
UniBrain: A Unified Model for Cross-Subject Brain Decoding DINOv2: Learning Robust Visual Features without Supervision
Reference 35
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Source-reported events for the cited work
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Observation e6dd6784-c894-46f0-bbf8-3e4e5404c51a · outbound
This paper cites Natural scene recon- struction from fmri signals using generative latent diffusion.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Natural scene recon- struction from fmri signals using generative latent diffusion
Reference 36
- Resolution
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Observation da2116b9-0681-47ae-8d33-cd88c207fb39 · outbound
This paper cites Scalable diffusion models with transformers.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Scalable diffusion models with transformers
Reference 37
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Source-reported events for the cited work
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Observation 985cf7fd-2998-46bc-a635-3c7464356570 · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Learning transferable visual models from natural language supervi- sion
Reference 38
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Observation 87aeffba-c347-410d-b38e-679706ea3e4a · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
UniBrain: A Unified Model for Cross-Subject Brain Decoding SAM 2: Segment Anything in Images and Videos
Reference 39
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Observation d32b5aab-2780-4a78-aec1-7b88e8247d8d · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
UniBrain: A Unified Model for Cross-Subject Brain Decoding High-resolution image synthesis with latent diffusion models
Reference 40
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Observation 7ebdec60-146c-4e55-bae1-1b845ef47c5e · outbound
This paper cites Computational limits to the legibility of the imaged human brain.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Computational limits to the legibility of the imaged human brain
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation 4f51352a-be7e-4c33-b574-03a34a2e33ae · outbound
This paper cites Re- constructing the mind’s eye: fmri-to-image with contrastive learning and diffusion priors.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Re- constructing the mind’s eye: fmri-to-image with contrastive learning and diffusion priors
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation f4ff5a58-3834-4e69-bd62-5c11bbd8f869 · outbound
This paper cites MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data.
UniBrain: A Unified Model for Cross-Subject Brain Decoding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
Reference 43
- Resolution
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Source-reported events for the cited work
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Observation 11332c55-354d-48bc-b3b0-037b073f7db1 · outbound
This paper cites End-to-end deep image reconstruction from human brain activity.
UniBrain: A Unified Model for Cross-Subject Brain Decoding End-to-end deep image reconstruction from human brain activity
Reference 44
- Resolution
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Source-reported events for the cited work
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Observation 7487bef8-eb1b-45a1-9d0c-15d3257a51b9 · outbound
This paper cites Deep image reconstruction from human brain activity.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Deep image reconstruction from human brain activity
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation 2334e213-d684-4b87-bd2a-94993508ccae · outbound
This paper cites Spurious reconstruction from brain activity.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Spurious reconstruction from brain activity
Reference 46
- Resolution
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Source-reported events for the cited work
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Observation 8a3decaf-fab2-4ea4-804f-6bfa5491f48d · outbound
This paper cites Dropout: a simple way to prevent neural networks from overfitting.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Dropout: a simple way to prevent neural networks from overfitting
Reference 47
- Resolution
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Source-reported events for the cited work
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Observation 2c92f9e1-3983-429c-ad6e-9ac5f27a21f4 · outbound
This paper cites The basics of brain de- velopment.
UniBrain: A Unified Model for Cross-Subject Brain Decoding The basics of brain de- velopment
Reference 48
- Resolution
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Source-reported events for the cited work
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Observation 1f2c130e-33ec-4128-9f52-518053400397 · outbound
This paper cites Rethinking the inception archi- tecture for computer vision.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Rethinking the inception archi- tecture for computer vision
Reference 49
- Resolution
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Source-reported events for the cited work
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Observation 976092c6-9b0b-4cd2-b939-a8ad2cdb8c63 · outbound
This paper cites High-resolution image re- construction with latent diffusion models from human brain activity.
UniBrain: A Unified Model for Cross-Subject Brain Decoding High-resolution image re- construction with latent diffusion models from human brain activity
Reference 50
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 09510802-f85d-47dd-9fd1-760e552645ea · outbound
This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Efficientnet: Rethinking model scaling for convolutional neural networks
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:23:04.696962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72c04012-0172-4390-98d7-60ada8ebc66c · outbound
This paper cites Attention is all you need.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Attention is all you need
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:23:04.701638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a85ba0bb-6733-4add-ad44-1286f71bc7b3 · outbound
This paper cites Sparse coding and decorrelation in primary visual cortex during natural vision.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Sparse coding and decorrelation in primary visual cortex during natural vision
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:23:05.007541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e67b4b95-9584-4a1e-b2ef-437c72ce5371 · outbound
This paper cites Mindbridge: A cross-subject brain decoding frame- work.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Mindbridge: A cross-subject brain decoding frame- work
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:23:04.711156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b346467-c352-4c04-8701-001cd5fcc9de · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Image quality assessment: from error visibility to structural similarity
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:23:04.716818Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5415cf12-2056-47d3-a0aa-0c311f975cf4 · outbound
This paper cites Umbrae: Unified multimodal brain decoding.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Umbrae: Unified multimodal brain decoding
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:23:04.970280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 59edbb99-8903-4f0a-a582-3b9650b402a9 · outbound
This paper cites Versatile diffusion: Text, images and variations all in one diffusion model.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Versatile diffusion: Text, images and variations all in one diffusion model
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:23:04.954529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a2121661-4d3f-4475-9879-24e2f1d8c282 · outbound
This paper cites Controllable mind visual diffusion model.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Controllable mind visual diffusion model
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:23:04.938512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ca63b38c-d439-4723-82af-53505b537a73 · outbound
This paper cites We first analyze the robustness of our mutual assistance embedder in Table 7.
UniBrain: A Unified Model for Cross-Subject Brain Decoding We first analyze the robustness of our mutual assistance embedder in Table 7
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:23:04.906073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8f4277bb-b239-4ab1-bdd7-bf73cc28d699 · outbound
This paper cites Fol- lowing previous work [54], we set the text-to-image ratio of the Versatile Diffusion as 0.5, and the guidance scale is set as 5.0.
UniBrain: A Unified Model for Cross-Subject Brain Decoding Fol- lowing previous work [54], we set the text-to-image ratio of the Versatile Diffusion as 0.5, and the guidance scale is set as 5.0
Reference 512
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:23:04.922533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation 202bfaec-7893-450f-be42-c4c972ccdb97 · inbound
Unified Multimodal Brain Decoding via Cross-Subject Soft-ROI Fusion cites this paper.
Unified Multimodal Brain Decoding via Cross-Subject Soft-ROI Fusion UniBrain: A Unified Model for Cross-Subject Brain Decoding
Reference 10
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-16T20:18:23.778528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d7629b52-c46a-4a7b-9e97-9734006f2ebe · inbound
StableMind: Source-Free Cross-Subject fMRI Decoding with Regularized Adaptation cites this paper.
StableMind: Source-Free Cross-Subject fMRI Decoding with Regularized Adaptation UniBrain: A Unified Model for Cross-Subject Brain Decoding
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T06:15:39.665034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 66823542-99ee-4736-a164-2ee6b6bc4581 · 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 UniBrain: A Unified Model for Cross-Subject Brain Decoding
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:13:23.268571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ca6e61d2-8c7c-49a0-9fd7-49e0c4c6280a · inbound
Brain-IT-VQA: From Brain Signals to Answers cites this paper.
Brain-IT-VQA: From Brain Signals to Answers UniBrain: A Unified Model for Cross-Subject Brain Decoding
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:23:15.067493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.