Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.08347.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:15.586313Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T20:51:06.807588Z
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 c02ff227-9a2d-4b55-a2b3-02d9577cd3df · 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 Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:28:15.586313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f0945f6-c4b2-4ccc-a866-6ef52e0919b0 · inbound
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV cites this paper.
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:17:30.956928Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60e3da2c-5671-4b88-893e-32b6324fd845 · inbound
SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training cites this paper.
SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-04T20:51:06.813236Z
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.