Paper Citation Record · LEDGER

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.09015.

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

pith.paper-citation-record.v1
2509.09015 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:52:11.369713Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a62da8a-e83f-4095-aee5-066d40763e50 · outbound

This paper cites Using goal-driven deep learning models to understand sensory cortex,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Using goal-driven deep learning models to understand sensory cortex,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.316027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f291f88c-032a-452e-a22a-e4eedc010377 · outbound

This paper cites Machine Learning for Neural Decoding,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Machine Learning for Neural Decoding,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.319684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3fc9a8-2b48-4c6e-9108-bc7a5ce3c16b · outbound

This paper cites Encoding and decoding in fMRI,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Encoding and decoding in fMRI,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.322954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2e199e-e610-4186-928e-387d371d12aa · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Learning Transferable Visual Models From Natural Language Supervision

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.326069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c99a33f-8c50-4fa6-b8e0-b90002794fbb · outbound

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

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI A massive 7t fmri dataset to bridge cognitive neuroscience and artificial intelligence,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.329448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58c8f021-6702-4192-bf09-a10e13171eff · outbound

This paper cites Deep image re- construction from human brain activity,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Deep image re- construction from human brain activity,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.332746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f532790e-41fb-4012-96de-a6f46a911182 · outbound

This paper cites Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.336397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd7c712d-18e8-41be-bbc8-09426b2dbe16 · outbound

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

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Learning transferable visual models from natural language supervision,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.339406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data.

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

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.342503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59378ebe-5fba-4b9a-8c7e-d3b2848b28ae · outbound

This paper cites MindBridge: A Cross-Subject Brain Decoding Framework.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI MindBridge: A Cross-Subject Brain Decoding Framework

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.345884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e972e8-3b02-4adf-b5bc-d886f8c716be · outbound

This paper cites Token merging: Your ViT but faster,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Token merging: Your ViT but faster,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.349038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c5f1b57-27d3-437e-9de5-c40df6ae6f0b · outbound

This paper cites Tokens-to-token vit: Training vision transformers from scratch on imagenet,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Tokens-to-token vit: Training vision transformers from scratch on imagenet,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.352139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b6588c4-3e71-4b34-8a32-cac915e6a073 · outbound

This paper cites Perceiver: General Perception with Iterative Attention,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Perceiver: General Perception with Iterative Attention,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.355309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c62ce8b-5af6-49e7-801b-21a95a5f7041 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Blip-2: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.358365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 465def28-c9c5-4a4c-93d1-0867a736cbf2 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Microsoft COCO: Common Objects in Context

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.361198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1653feee-2aa2-4bfe-9575-fd704e15310d · outbound

This paper cites Implicit neural representations with periodic activation functions,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Implicit neural representations with periodic activation functions,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.364123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7f7c3e-8696-431c-a076-ad8ac0a8c908 · outbound

This paper cites BLIP: Bootstrapping language- image pre-training for unified vision-language understanding and generation,.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI BLIP: Bootstrapping language- image pre-training for unified vision-language understanding and generation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.366727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e72f337-1941-4422-9afd-cf730e9183d9 · outbound

This paper cites Natural scene reconstruction from fMRI signals using generative latent diffusion.

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI Natural scene reconstruction from fMRI signals using generative latent diffusion

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:52:11.369713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.