Cross-Subject Mind Decoding from Inaccurate Representations | Paper Citation Record

Observation 0eabbce2-c60f-472c-aeb5-b70fd0f37051 · outbound

This paper cites A massive 7t fmri dataset to bridge cognitive neuroscience and artificial intelligence.

Cross-Subject Mind Decoding from Inaccurate Representations A massive 7t fmri dataset to bridge cognitive neuroscience and artificial intelligence

Reference 1

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Observation 1fc1651a-6ff9-4ebc-9143-b048afc1033a · outbound

This paper cites Loosec- ontrol: Lifting controlnet for generalized depth conditioning.

Cross-Subject Mind Decoding from Inaccurate Representations Loosec- ontrol: Lifting controlnet for generalized depth conditioning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.885430Z

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Observation ba92bbc2-0df4-4f61-ac51-dc2d406b0226 · outbound

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

Cross-Subject Mind Decoding from Inaccurate Representations Large scale gan training for high fidelity natural image synthesis

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.871497Z

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Observation f503fbe7-d365-4fb7-a70e-a43bcb561830 · outbound

This paper cites Brain netflix: Scaling data to reconstruct videos from brain signals.

Cross-Subject Mind Decoding from Inaccurate Representations Brain netflix: Scaling data to reconstruct videos from brain signals

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.857990Z

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Observation 6ddc6b99-0e96-4848-b880-041aa1189c61 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.NeurIPS, 33:9912–9924, 2020.

Cross-Subject Mind Decoding from Inaccurate Representations Unsupervised learning of visual features by contrasting cluster assignments.NeurIPS, 33:9912–9924, 2020

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.842697Z

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Observation 980d72bc-a55b-47f7-9d9d-e0d05a9c4e38 · outbound

This paper cites Bold5000, a public fmri dataset while viewing 5000 visual images.

Cross-Subject Mind Decoding from Inaccurate Representations Bold5000, a public fmri dataset while viewing 5000 visual images

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.828562Z

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Observation bcd2da0e-87ba-4568-bd28-921a9bf1a8d0 · outbound

This paper cites Seeing beyond the brain: Conditional diffu- sion model with sparse masked modeling for vision decoding.

Cross-Subject Mind Decoding from Inaccurate Representations Seeing beyond the brain: Conditional diffu- sion model with sparse masked modeling for vision decoding

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.813719Z

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Observation fecbcf5a-c247-40b3-8d78-ba266e63960f · outbound

This paper cites brain reading.

Cross-Subject Mind Decoding from Inaccurate Representations brain reading

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.798541Z

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Observation 72b038c1-ef17-407d-bb76-6b0c9edbecb6 · outbound

This paper cites fmri brain decoding and its applications in brain–computer interface: A survey.

Cross-Subject Mind Decoding from Inaccurate Representations fmri brain decoding and its applications in brain–computer interface: A survey

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.783742Z

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Observation 46289b4e-5cfb-4518-a36f-ef10d411821a · outbound

This paper cites A large-scale fmri dataset for the visual processing of naturalistic scenes.

Cross-Subject Mind Decoding from Inaccurate Representations A large-scale fmri dataset for the visual processing of naturalistic scenes

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.767507Z

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Observation 7bbe3b61-64e2-404d-ae6f-8476a3e4e4f2 · outbound

This paper cites Decoding natural image stimuli from fmri data with a surface- based convolutional network.

Cross-Subject Mind Decoding from Inaccurate Representations Decoding natural image stimuli from fmri data with a surface- based convolutional network

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.751908Z

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Observation fefc7819-906c-4b95-8a49-1e3e71c85edd · outbound

This paper cites Generic decod- ing of seen and imagined objects using hierarchical visual features.

Cross-Subject Mind Decoding from Inaccurate Representations Generic decod- ing of seen and imagined objects using hierarchical visual features

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.735025Z

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Observation 2c3a392a-5ef4-4c3b-8df1-217d1b5a4a7e · outbound

This paper cites Neuropictor: Refining fmri-to-image reconstruction via multi-individual pretraining and multi-level modulation.

Cross-Subject Mind Decoding from Inaccurate Representations Neuropictor: Refining fmri-to-image reconstruction via multi-individual pretraining and multi-level modulation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.719916Z

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Observation d872051a-ca56-43ae-9eca-8c65ec59a409 · outbound

This paper cites Selectivity for food in human ventral visual cortex.

Cross-Subject Mind Decoding from Inaccurate Representations Selectivity for food in human ventral visual cortex

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.705066Z

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Observation 77e418c8-9b8e-4f1f-b509-20849eedc8e4 · outbound

This paper cites Decoding the visual and subjective contents of the human brain.

Cross-Subject Mind Decoding from Inaccurate Representations Decoding the visual and subjective contents of the human brain

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.690479Z

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Observation b9acf13f-a5db-4992-9ef2-3a8f107c7584 · outbound

This paper cites The fusiform face area: A module in human extrastriate cortex specialized for face perception.

Cross-Subject Mind Decoding from Inaccurate Representations The fusiform face area: A module in human extrastriate cortex specialized for face perception

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.674477Z

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Observation f2158383-8189-4590-9599-7ac39753367b · outbound

This paper cites Analyzing and improving the image quality of stylegan.

Cross-Subject Mind Decoding from Inaccurate Representations Analyzing and improving the image quality of stylegan

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:43.712519Z

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Observation c51dae55-dcd0-487c-be2c-670d7450aa4b · outbound

This paper cites Im- agenet classification with deep convolutional neural networks.

Cross-Subject Mind Decoding from Inaccurate Representations Im- agenet classification with deep convolutional neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.650146Z

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Observation 733758ce-7fbb-424d-bb66-59ddaecaacc7 · outbound

This paper cites Modeling short visual events through the bold moments video fmri dataset and metadata.

Cross-Subject Mind Decoding from Inaccurate Representations Modeling short visual events through the bold moments video fmri dataset and metadata

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.635390Z

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Observation 9e631614-2545-4f34-b861-53b4e24f802c · outbound

This paper cites Blip- 2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Cross-Subject Mind Decoding from Inaccurate Representations Blip- 2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.619865Z

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Observation cefda2c4-191a-4b5a-80df-6b3f2ad90d54 · outbound

This paper cites Decoupled weight decay regularization.

Cross-Subject Mind Decoding from Inaccurate Representations Decoupled weight decay regularization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.605793Z

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Observation 96e5cb94-a093-4132-a5b1-9dc2add4dcd7 · outbound

This paper cites Mind reader: Reconstructing complex images from brain activities.

Cross-Subject Mind Decoding from Inaccurate Representations Mind reader: Reconstructing complex images from brain activities

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.591989Z

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Observation 87b1c8de-5290-4e11-8509-ac6d1e81d0b9 · outbound

This paper cites Microsoft coco: Common objects in context.

Cross-Subject Mind Decoding from Inaccurate Representations Microsoft coco: Common objects in context

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.578533Z

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Observation af2811cc-32af-4843-b22a-ab5f8ca93b6f · outbound

This paper cites Drag your noise: Interactive point-based editing via diffusion semantic propagation.

Cross-Subject Mind Decoding from Inaccurate Representations Drag your noise: Interactive point-based editing via diffusion semantic propagation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.564319Z

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Observation 889f61d5-5754-4806-b3fb-d33fe4f0ef88 · outbound

This paper cites Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching.

Cross-Subject Mind Decoding from Inaccurate Representations Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching

Reference 25

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Observation 5854d2c7-79cb-4733-b48e-7d8846704232 · outbound

This paper cites Smartcontrol: Enhancing controlnet for handling rough visual conditions.

Cross-Subject Mind Decoding from Inaccurate Representations Smartcontrol: Enhancing controlnet for handling rough visual conditions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.550239Z

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Observation 6e9ff9e2-9ad5-46fd-a607-5031cd441faf · outbound

This paper cites Minddiffuser: Controlled image reconstruc- tion from human brain activity with semantic and structural diffusion.

Cross-Subject Mind Decoding from Inaccurate Representations Minddiffuser: Controlled image reconstruc- tion from human brain activity with semantic and structural diffusion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.536311Z

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Observation b630a0c3-264e-4e52-abdd-f8aa93ecb769 · outbound

This paper cites Controlnet++: Improv- ing conditional controls with efficient consistency feedback.

Cross-Subject Mind Decoding from Inaccurate Representations Controlnet++: Improv- ing conditional controls with efficient consistency feedback

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.521538Z

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Observation e5412550-d4e3-4173-8319-350a63d19bdc · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Cross-Subject Mind Decoding from Inaccurate Representations T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.507323Z

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Observation 5d5791bf-35c1-40c4-9956-6f2ba4c0bc16 · outbound

This paper cites Recon- structing natural scenes from fmri patterns using bigbigan.

Cross-Subject Mind Decoding from Inaccurate Representations Recon- structing natural scenes from fmri patterns using bigbigan

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.492587Z

Source-reported events for the cited work

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Observation 66b8ba1a-ed15-442e-8edf-1df45c3fd6ef · outbound

This paper cites Natural scene recon- struction from fmri signals using generative latent diffusion.

Cross-Subject Mind Decoding from Inaccurate Representations Natural scene recon- struction from fmri signals using generative latent diffusion

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.478084Z

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Observation f718fd73-fef4-4307-94c5-190ddec2f461 · outbound

This paper cites Reconstruction of perceived images from fmri patterns and semantic brain exploration using instance-conditioned gans.

Cross-Subject Mind Decoding from Inaccurate Representations Reconstruction of perceived images from fmri patterns and semantic brain exploration using instance-conditioned gans

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.462945Z

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Observation 25f7ca3d-be38-4b43-a9ed-2feb59c0a809 · outbound

This paper cites Unicontrol: A unified diffu- sion model for controllable visual generation in the wild.

Cross-Subject Mind Decoding from Inaccurate Representations Unicontrol: A unified diffu- sion model for controllable visual generation in the wild

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.448295Z

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Observation bd820376-adc8-4f45-b4ef-643baf062918 · outbound

This paper cites Psychometry: An omnifit model for image reconstruc- tion from human brain activity.

Cross-Subject Mind Decoding from Inaccurate Representations Psychometry: An omnifit model for image reconstruc- tion from human brain activity

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.433068Z

Source-reported events for the cited work

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Observation b5cf6546-35e3-4473-abe2-a3e2b87137b2 · outbound

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

Cross-Subject Mind Decoding from Inaccurate Representations Learning transferable visual models from natural language supervision

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.417221Z

Source-reported events for the cited work

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Observation 386a6c50-3153-426c-98cc-062a51c851ba · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Cross-Subject Mind Decoding from Inaccurate Representations Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 36

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Observation 8f2e221c-35e7-4246-a1b6-d3cd8b37bc9d · outbound

This paper cites Ul- trapixel: Advancing ultra high-resolution image synthesis to new peaks.

Cross-Subject Mind Decoding from Inaccurate Representations Ul- trapixel: Advancing ultra high-resolution image synthesis to new peaks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.400117Z

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Observation f425b96d-16b4-466a-8f82-ebdbc6850b15 · outbound

This paper cites Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis.

Cross-Subject Mind Decoding from Inaccurate Representations Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis

Reference 38

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Observation dd5dffcd-019d-49c6-a1b3-97991daea7a0 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Cross-Subject Mind Decoding from Inaccurate Representations High-resolution image synthesis with latent diffusion models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.384616Z

Source-reported events for the cited work

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Observation 86f4896f-5e5a-4988-96e1-f174b147ab90 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep lan- guage understanding.

Cross-Subject Mind Decoding from Inaccurate Representations Photorealistic text-to-image diffusion models with deep lan- guage understanding

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.370191Z

Source-reported events for the cited work

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Observation aa601f00-c2df-42a6-ac69-268e9a5884fa · outbound

This paper cites Recon- structing the mind’s eye: fmri-to-image with contrastive learn- ing and diffusion priors.

Cross-Subject Mind Decoding from Inaccurate Representations Recon- structing the mind’s eye: fmri-to-image with contrastive learn- ing and diffusion priors

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.355822Z

Source-reported events for the cited work

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Observation 14d0af83-17ae-4715-95be-1aa909060e8b · outbound

This paper cites Mindeye2: Shared-subject models enable fmri-to-image with 1 hour of data.

Cross-Subject Mind Decoding from Inaccurate Representations Mindeye2: Shared-subject models enable fmri-to-image with 1 hour of data

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.341395Z

Source-reported events for the cited work

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Observation ea51b3d1-8ce5-43c1-96c5-ad47b6190945 · outbound

This paper cites Functional neuroanatomy of face and object processing: a positron emission tomography study.

Cross-Subject Mind Decoding from Inaccurate Representations Functional neuroanatomy of face and object processing: a positron emission tomography study

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.325022Z

Source-reported events for the cited work

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Observation c82666d5-8a4b-4a48-9b8c-0f6d4b80bd94 · outbound

This paper cites Denoising diffusion implicit models.

Cross-Subject Mind Decoding from Inaccurate Representations Denoising diffusion implicit models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:43.842251Z

Source-reported events for the cited work

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Observation 936d70c8-0467-4224-8b77-4dbc934b1668 · outbound

This paper cites Lightweight pixel dif- ference networks for efficient visual representation learning.

Cross-Subject Mind Decoding from Inaccurate Representations Lightweight pixel dif- ference networks for efficient visual representation learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.300827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b41653e-5a20-4d5d-ab57-93b26c0c7fcc · outbound

This paper cites Rethinking the inception ar- chitecture for computer vision.

Cross-Subject Mind Decoding from Inaccurate Representations Rethinking the inception ar- chitecture for computer vision

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:43.852357Z

Source-reported events for the cited work

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Observation 74381f57-ae6d-46e4-9868-05007a86e627 · outbound

This paper cites High-resolution image reconstruction with latent diffusion models from human brain activity.

Cross-Subject Mind Decoding from Inaccurate Representations High-resolution image reconstruction with latent diffusion models from human brain activity

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.275982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c52eac3e-0b3e-4524-a1de-72106c0fb7b0 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Cross-Subject Mind Decoding from Inaccurate Representations Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.261794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b50a6fc-2940-4fd6-bed2-3408617e8f0a · outbound

This paper cites Inverse retinotopy: inferring the visual content of images from brain activation patterns.

Cross-Subject Mind Decoding from Inaccurate Representations Inverse retinotopy: inferring the visual content of images from brain activation patterns

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.247938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 44db9983-cba3-4efa-932b-a5e0acf75895 · outbound

This paper cites Mindbridge: A cross-subject brain decoding frame- work.

Cross-Subject Mind Decoding from Inaccurate Representations Mindbridge: A cross-subject brain decoding frame- work

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.233299Z

Source-reported events for the cited work

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Observation 0410d2ea-e156-4d06-a642-6ef1ea110ddb · outbound

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

Cross-Subject Mind Decoding from Inaccurate Representations Image quality assessment: from error visibility to structural similarity

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.217039Z

Source-reported events for the cited work

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Observation f1195e9a-7a60-4e56-935c-434aa6618185 · outbound

This paper cites Dream: Visual decoding from reversing human visual system.

Cross-Subject Mind Decoding from Inaccurate Representations Dream: Visual decoding from reversing human visual system

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.203075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 731774e7-b271-4f2f-93a3-dad086b3b6f4 · outbound

This paper cites Umbrae: Unified multimodal brain decoding.

Cross-Subject Mind Decoding from Inaccurate Representations Umbrae: Unified multimodal brain decoding

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.187650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08d0e656-87db-4fd3-958b-0ca3b8f5f63e · outbound

This paper cites Dreamanime: Learning style-identity textual disentanglement for anime and beyond.

Cross-Subject Mind Decoding from Inaccurate Representations Dreamanime: Learning style-identity textual disentanglement for anime and beyond

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.171208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 737c2630-b00b-423e-9f3d-400518c0517c · outbound

This paper cites Versatile diffusion: Text, images and variations all in one diffusion model.

Cross-Subject Mind Decoding from Inaccurate Representations Versatile diffusion: Text, images and variations all in one diffusion model

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.156215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b7a1acbc-69e7-4175-b515-223de9a272b3 · outbound

This paper cites Law-diffusion: Complex scene generation by diffusion with layouts.

Cross-Subject Mind Decoding from Inaccurate Representations Law-diffusion: Complex scene generation by diffusion with layouts

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.141308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation baeba13b-b01b-4a61-b405-465c71ac6af5 · outbound

This paper cites Beyond textual con- straints: Learning novel diffusion conditions with fewer ex- amples.

Cross-Subject Mind Decoding from Inaccurate Representations Beyond textual con- straints: Learning novel diffusion conditions with fewer ex- amples

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.126455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0532c420-8aac-4d30-9f82-7fdfe5d49682 · outbound

This paper cites Controllable mind visual diffusion model.

Cross-Subject Mind Decoding from Inaccurate Representations Controllable mind visual diffusion model

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.109792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e6fa86c-d45c-4be9-b6a5-5c7bc70e5bde · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Cross-Subject Mind Decoding from Inaccurate Representations Adding conditional control to text-to-image diffusion models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:43.912408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f94da43d-ee00-4bd5-bf1c-ff68dc06215b · outbound

This paper cites Uni- controlnet: All-in-one control to text-to-image diffusion mod- els.

Cross-Subject Mind Decoding from Inaccurate Representations Uni- controlnet: All-in-one control to text-to-image diffusion mod- els

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.083085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a75d2b24-8d1c-48d3-aef3-32be6e4d1b70 · outbound

This paper cites Towards language-free training for text-to-image gener- ation.

Cross-Subject Mind Decoding from Inaccurate Representations Towards language-free training for text-to-image gener- ation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.067057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 42109ecf-5978-48b9-9365-b63ed595f254 · outbound

This paper cites Stable score distillation.

Cross-Subject Mind Decoding from Inaccurate Representations Stable score distillation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.051975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f0de1aa1-b5f0-43ec-b807-312e8c7b634b · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

Cross-Subject Mind Decoding from Inaccurate Representations Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.037408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92f91233-190a-4275-8afc-69b136594730 · outbound

This paper cites Broccoli.

Cross-Subject Mind Decoding from Inaccurate Representations Broccoli

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:44.020945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Reference resolution

Outbound references

Pith citing papers