Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.06499.
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 2026-08-06T17:17:31.175070Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e6436e47-e278-47eb-a64d-e29dadae665e · inbound
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV cites this paper.
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:17:31.175070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f2c4fbf-e453-4276-824c-c39589d4acdd · 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 HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:51:06.725736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 250f8764-2c73-4670-9cd3-fe2f9d55f603 · inbound
CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection cites this paper.
CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T06:51:44.936310Z
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.