Paper Citation Record · LEDGER

BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.17086.

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

pith.paper-citation-record.v1
2406.17086 v1

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 2026-08-06T23:47:37.101822Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:55:00.676365Z

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 0021c995-d0be-44ae-88a4-d070f36c5f5c · inbound

Bridging Brain with Foundation Models through Self-Supervised Learning cites this paper.

Bridging Brain with Foundation Models through Self-Supervised Learning BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T23:47:37.101822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97601941-a42f-4cbd-bdaa-a37612d3e90d · inbound

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI cites this paper.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:41:25.280340Z

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 ab9322a8-e04f-4af6-a30c-5be07fca4f45 · inbound

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI cites this paper.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.944585Z

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 7e897b3e-07aa-4012-8d4b-16fec125cae2 · inbound

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction cites this paper.

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:53:29.006878Z

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 38c3a631-4290-42be-aa9d-a60400bb1aa5 · 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 BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:28:12.488023Z

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 ae1eb143-55bb-4b8d-9991-f565a07d65c8 · 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 BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.678107Z

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.