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Paper Citation Record · LEDGER

Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.16993.

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

pith.paper-citation-record.v1
2406.16993 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:18:54.608187Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:45:30.047974Z

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 db37a65e-28d5-4cfb-bce7-8bfced0ed365 · inbound

DKT2: Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale Data cites this paper.

DKT2: Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale Data Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T15:18:54.608187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:54.608187Z digest=sha256:22a584d81e0a2b5812c52ccfa7cfb58e203967f4282e8f718101212c9ef68dbc

Observation a2a4bc28-5cb7-43a6-b58d-1533c792f954 · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:14:26.362038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T06:09:54.742202Z digest=sha256:ecaedf54ae6e60e2bd765748164b6f3c26f8050e616b5515e6b9ba75f7821741

Observation 14fdf29f-9e13-4806-8d6e-db1c2065a396 · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:30.050447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:06.306930Z digest=sha256:5b8e5ec3f341ca1af989704adf3da4c152923d70879a0d47232c963a02b94236