Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Decoding natural image stimuli from fMRI data with a surface-based convolutional network
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.02409.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T20:41:22.172881Z
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 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.