Paper Citation Record · LEDGER

Scaling laws for decoding images from brain activity

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2501.15322.

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

pith.paper-citation-record.v1
2501.15322 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:17.650549Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:59.547172Z

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 03155a02-7e6b-426e-9912-e135eb27a371 · inbound

Data Normalization Strategies for EEG Deep Learning cites this paper.

Data Normalization Strategies for EEG Deep Learning Scaling laws for decoding images from brain activity

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:17.650549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f9a602b-c03a-40d5-935c-4e72cbc8b17f · inbound

Foundation Models for Cross-Domain EEG Analysis Application: A Survey cites this paper.

Foundation Models for Cross-Domain EEG Analysis Application: A Survey Scaling laws for decoding images from brain activity

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:21.324728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fbc8136-7326-4495-a724-7d3fb566e008 · inbound

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception cites this paper.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Scaling laws for decoding images from brain activity

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T17:44:27.379575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 938dbe43-fc70-47d2-a54c-e3724789e90e · inbound

Disentangling the Factors of Convergence between Brains and Computer Vision Models cites this paper.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Scaling laws for decoding images from brain activity

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:28.335241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 572c170b-0f48-4875-958c-862d63294d3e · inbound

A foundation model of vision, audition, and language for in-silico neuroscience cites this paper.

A foundation model of vision, audition, and language for in-silico neuroscience Scaling laws for decoding images from brain activity

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:46:17.467453Z

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 0b40dee6-04bf-471a-9f5d-0ed64ec37319 · inbound

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

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models Scaling laws for decoding images from brain activity

Reference 197

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:16:15.652499Z

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 9ce2b45b-69d1-46b3-a163-e046f18e6f09 · inbound

How Much is Brain Data Worth for Machine Learning? cites this paper.

How Much is Brain Data Worth for Machine Learning? Scaling laws for decoding images from brain activity

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:45.762145Z

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 55d555bb-e65e-45b0-b6cb-0577993513a4 · inbound

DANCE: Detect and Classify Events in EEG cites this paper.

DANCE: Detect and Classify Events in EEG Scaling laws for decoding images from brain activity

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:36:24.710636Z

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 e1cd7af6-ef7d-47b7-9759-91ee98fdddd8 · inbound

Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs cites this paper.

Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs Scaling laws for decoding images from brain activity

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:28:12.499263Z

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 25a5fb1f-9122-476b-814a-6330e281a1f7 · inbound

Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs cites this paper.

Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs Scaling laws for decoding images from brain activity

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.744795Z

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 88d486ad-87bd-49b1-af54-da04a7275698 · inbound

Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation cites this paper.

Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation Scaling laws for decoding images from brain activity

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:06:59.548489Z

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 2ff96c0e-ef4a-4c87-84df-80d2a7a752ac · inbound

Real-time Reconstruction of Human Visual Perception from fMRI cites this paper.

Real-time Reconstruction of Human Visual Perception from fMRI Scaling laws for decoding images from brain activity

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T07:39:05.998768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.