Pith Number

pith:XTQ2KCBY

pith:2026:XTQ2KCBYPQ7NA65OQLSFFNC2EH

not attested not anchored not stored refs resolved

Multimodal Graph-based Classification of Esophageal Motility Disorders

Alexander Geiger, Alissa Jell, Alois Knoll, Daniel Rueckert, Dirk Wilhelm, Lars Wagner

Multimodal graph neural networks that fuse esophageal pressure graphs with patient data improve classification of motility disorders over single-modality baselines.

arxiv:2605.13623 v1 · 2026-05-13 · cs.LG

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\pithnumber{XTQ2KCBYPQ7NA65OQLSFFNC2EH}

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

The proposed multimodal approach indicates improvements over models that rely solely on HRIM-derived features across all classification categories. Additionally, the graph-based modeling provides gains compared to vision-based baselines.

C2weakest assumption

The assumption that the spatio-temporal graph representation of HRIM recordings encodes physiologically meaningful features that, when fused with patient embeddings, lead to better multi-class classification, based on ablation studies whose details are not provided.

C3one line summary

Graph-based multimodal ML model shows improved classification of esophageal motility disorders by fusing HRIM spatio-temporal graphs with patient embeddings.

References

43 extracted · 43 resolved · 1 Pith anchors

[1] Otolaryn- gologic Clinics of North America57(4) (2024) 2024

[2] International Journal of Language & Communication Disorders58(2) (2023) 2023

[3] The Laryngoscope130(4) (2020) 2020

[4] Rheumatology47(6) (2008) 2008

[5] American Family Physician102(5) (2020) 2020

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T02:44:17.855438Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bce1a508387c3ed07bae82e452b45a21e1a50f9b9a9a5b1e578ca04e7f4edda4

Aliases

arxiv: 2605.13623 · arxiv_version: 2605.13623v1 · doi: 10.48550/arxiv.2605.13623 · pith_short_12: XTQ2KCBYPQ7N · pith_short_16: XTQ2KCBYPQ7NA65O · pith_short_8: XTQ2KCBY

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/XTQ2KCBYPQ7NA65OQLSFFNC2EH \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: bce1a508387c3ed07bae82e452b45a21e1a50f9b9a9a5b1e578ca04e7f4edda4

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "cfe5a1bd69b3381830bcf101182bba4daf9fc6347be2c6aee8a0b9f35aa8595d",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T14:52:12Z",
    "title_canon_sha256": "724a7ed30bf33ed64b36868a017498602917b2ff649a0b465246f4e6a569bd12"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13623",
    "kind": "arxiv",
    "version": 1
  }
}