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Paper Citation Record · LEDGER

BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.10395.

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

pith.paper-citation-record.v1
2406.10395 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:20:29.137986Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:19:21.128585Z

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 3d8a0ced-d191-4b35-ab35-db9ff14ff2b1 · inbound

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research cites this paper.

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:48.194726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:08:48.194726Z digest=sha256:5f828823d0411b3a2e81f463825d3ed5705591b78329c2e06f133e8421037c21

Observation 1a763590-6f51-45f7-a08c-adb3703d143b · inbound

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research cites this paper.

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:48.878545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:08:48.878545Z digest=sha256:9007ed545a909a9acde64de760b85d92efc10bbc59b45c37ad4ab5e880649515

Observation 1a058748-b2bb-4432-8ad6-cb942f02115a · inbound

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation cites this paper.

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:19:21.130911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T20:29:00.314097Z digest=sha256:c5819da484c387955d771078d1b835d373fcfcd9541392cee359f92c37b29c2f

Observation 8ed3c6c6-1b85-480e-91df-6e16b592e19b · inbound

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation cites this paper.

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T10:53:54.665857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:53:54.665857Z digest=sha256:e0765e4f3883d709fef018630b5581e84d2a012394ed7875ff2c04cd87eb0f5f

Observation ad4e1f78-0788-400c-84c2-f070fae1f96c · inbound

GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning cites this paper.

GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T00:20:29.137986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:20:29.137986Z digest=sha256:8a39bbd0e847c6fbf8f87ea712e73ca1533491667f887a21546f92cf4c0b8a23