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Paper Citation Record · LEDGER

MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.01740.

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

pith.paper-citation-record.v1
2312.01740 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:15.502128Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:17:31.409580Z

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 2f41f62f-ce1c-436f-bbf6-43e7a059423b · inbound

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster cites this paper.

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:15.502128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:15.502128Z digest=sha256:084236abcc7638295646f8402880327c0589dcb0b18cb9630a524f23caad15f1

Observation 2c12f71b-bc99-4023-9cb1-004d53e291cf · inbound

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV cites this paper.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:17:31.472568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:17:30.813962Z digest=sha256:d9dee52327259a5bff6e38f4f116e1f0bee443eb71064cbf44a807bceb41625d