Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Natural scene reconstruction from fMRI signals using generative latent diffusion
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.05334.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:40:20.005780Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T13:34:40.458053Z
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 01090886-3992-4e36-9ecb-85db72dab217 · inbound
Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants cites this paper.
Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants Natural scene reconstruction from fMRI signals using generative latent diffusion
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:40:20.005780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64241ca5-1fad-4983-88ad-0fb9bd5b9109 · inbound
Perception Activator: An intuitive and portable framework for brain cognitive exploration cites this paper.
Perception Activator: An intuitive and portable framework for brain cognitive exploration Natural scene reconstruction from fMRI signals using generative latent diffusion
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:39:12.059120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e72f337-1941-4422-9afd-cf730e9183d9 · inbound
VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI cites this paper.
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.
Observation f7753dcf-409b-4a65-bdfa-fdea39743f4a · inbound
Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding cites this paper.
Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding Natural scene reconstruction from fMRI signals using generative latent diffusion
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:15:58.779733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ca4a4449-9573-4764-9665-baf32c9eeb40 · inbound
MindAdapter: Few-Shot Parameter-Efficient Residual Calibration of Cross-Subject Brain-to-Visual Decoding Models cites this paper.
MindAdapter: Few-Shot Parameter-Efficient Residual Calibration of Cross-Subject Brain-to-Visual Decoding Models Natural scene reconstruction from fMRI signals using generative latent diffusion
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:34:40.459726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.