Paper Citation Record · LEDGER

Decoding natural image stimuli from fMRI data with a surface-based convolutional network

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2212.02409.

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

pith.paper-citation-record.v1
2212.02409 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:36:42.488670Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:53:15.953888Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 4384ce64-df58-4e58-8bfe-b0b901c766de · 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 Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T16:36:42.488670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 979cb50c-b3a9-4e93-b140-33fb6a29b315 · inbound

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

COBRA: A Continual Learning Approach to Vision-Brain Understanding Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:49.143631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c039943f-d029-47d8-aa22-dda9c61a4197 · inbound

A Review of Latent Representation Models in Neuroimaging cites this paper.

A Review of Latent Representation Models in Neuroimaging Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:38.142756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c55257f-c310-433d-aaf0-a4fc24c17720 · 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 Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T13:07:33.244564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9f6202f-db96-4046-b6bd-6333982e00dd · inbound

MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data cites this paper.

MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T20:41:22.172881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee058de2-1776-48a6-bd53-417601811f0c · inbound

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models cites this paper.

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Reference 282

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:16:15.617035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 519efceb-d686-4494-9c8b-70b688885336 · inbound

Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity cites this paper.

Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:15.955280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.