Paper Citation Record · LEDGER

Natural scene reconstruction from fMRI signals using generative latent diffusion

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.05334.

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

pith.paper-citation-record.v1
2303.05334 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:41:22.216684Z

measured 0 of 1 external citation measurements

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 58ebda78-852f-4d1b-abd5-9ee6ce0d20b6 · 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 Natural scene reconstruction from fMRI signals using generative latent diffusion

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T20:41:22.216684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.