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Paper Citation Record · LEDGER

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2405.19363.

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

pith.paper-citation-record.v1
2405.19363 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:22.785791Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:58:23.562068Z

Reference resolution

0 of 0 outbound references displayed

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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 e4eb29e6-d5e5-4d82-8576-681d8ba3ea66 · inbound

What Causes Performance Degradation in Cross-Subject EEG Classification? cites this paper.

What Causes Performance Degradation in Cross-Subject EEG Classification? Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:58:23.566075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-23T19:57:48.365179Z digest=sha256:dff60a3287070c97917f2a12667147bffb942f3c0027023726a2018833ea47ae

Observation 21af714a-04a7-426b-829c-c34b7e39daf6 · inbound

Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection cites this paper.

Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T13:42:23.680746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:42:23.680746Z digest=sha256:d398f04fb0e351455f3ba1452279b6c8188ba5cc0be15f7b7a926fc69f1cf82b

Observation cb55f860-4427-49db-9185-cac6f3a2b316 · inbound

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification cites this paper.

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T22:33:25.737151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:33:25.737151Z digest=sha256:8ba52252954f7dd262842e73a71051e1d62076cd534b680dab7b33a15db98f74

Observation af8b0a00-e832-4064-8201-985aec42b3e8 · inbound

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation cites this paper.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:22.785791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:41:22.785791Z digest=sha256:6f2d48cff81d124a6d4fd5e6dad951044ad48851219bf4ed931080058d79d09d

Observation a6d6def8-5a2c-49f4-9ad4-8315342b0fc3 · inbound

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet cites this paper.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:20.009959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:20.009959Z digest=sha256:a0fe039b16832afeb9e160a5d104d26019dcf64b0611daf1496bd004875824ad

Observation 0e67f67f-c2a0-4fc4-8285-65e459efaecd · inbound

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint cites this paper.

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T22:56:10.786172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:56:10.786172Z digest=sha256:71d97199460b886b4f562065e2e48a5a46a181f81331dd90beb8621ae5899f34

Observation b627f360-7fca-48a6-8449-79b6aec91c1d · inbound

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment cites this paper.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T18:05:38.683233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:05:38.683233Z digest=sha256:15e023a67ce75c9cba32346352735ff6e51f9f7b571a3b458562bd79c56bfb8c

Observation e676302c-b3d7-4406-8e27-149f1f46b4fe · inbound

Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network cites this paper.

Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T04:38:21.969197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:38:21.969197Z digest=sha256:01ffe8d373af03f22068e50783a39978743b1826ebb569f63a75c67c1ba5ef05

Observation 8ea6eceb-8bf7-4807-875b-9d8729477e6f · inbound

Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images cites this paper.

Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:11:57.370189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T01:07:02.259349Z digest=sha256:e1630ef03fa11c83c7533bd56f602235f4099ea9bb129ede9731860a700ab0c1

Observation b792971b-0d60-4ed3-8567-236116b85d7e · inbound

Camel: Energy-Aware LLM Inference on Resource-Constrained Devices cites this paper.

Camel: Energy-Aware LLM Inference on Resource-Constrained Devices Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T23:47:15.378798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:47:15.378798Z digest=sha256:fa1ea055fa7dfb45a773de7f030321e048d7f8108f87631374000cee70a46f6a

Observation 5ec4ce67-61d0-4336-b3ac-13a041a07360 · inbound

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding cites this paper.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-11T21:21:23.781984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:21:23.781984Z digest=sha256:2996c94c5e72d30e273f66c6f4e225ca80d60128e56596bd1b18714f79e1f50e