Pith Number

pith:4PRMUGOX

pith:2026:4PRMUGOXSYRWGR3POM7UAUBIO2

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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion

Chen Chen, Song Wang, Tianlong Chen, Wugeng Zheng, Ziwen Kan

Architecture family predicts robustness to missing modalities better than model size in clinical fusion.

arxiv:2605.15235 v1 · 2026-05-13 · cs.LG

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Claims

C1strongest claim

architecture family is the strongest predictor of robustness, outweighing parameter count

C2weakest assumption

The nine chosen clinical datasets and six fusion architectures sufficiently represent the range of real-world multimodal physiological signals and sensor-failure patterns so that the observed robustness rankings generalize beyond the tested cases. (Abstract)

C3one line summary

MuteBench evaluates multimodal fusion robustness to modality missing and within-modality missing on 125000 samples from 9 clinical datasets, finding architecture family predicts tolerance better than parameter count.

References

63 extracted · 63 resolved · 1 Pith anchors

[1] doi: 10.1038/s41598-026-39035-z 2026 · doi:10.1038/s41598-026-39035-z

[2] Multimodal biomedical AI.Nature Medicine, 28(9):1773–1784, 2022 2022 · doi:10.1038/s41591-022-01981-2

[3] Ehrxqa: A multi-modal ques- tion answering dataset for electronic health records with chest x-ray images 2023

[4] In Proceedings of the 26th Annual International Conference on Machine Learning (Montreal, Quebec, Canada) (ICML ’09) 2009 · doi:10.1145/1553374.1553380

[5] Recurrent neural networks for multivariate time series with missing values.Scientific Reports, 8(1):6085,

Receipt and verification

First computed	2026-05-20T00:00:47.719823Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e3e2ca19d7962363476f733f40502876b57593779c266683967926c9054589b8

Aliases

arxiv: 2605.15235 · arxiv_version: 2605.15235v1 · doi: 10.48550/arxiv.2605.15235 · pith_short_12: 4PRMUGOXSYRW · pith_short_16: 4PRMUGOXSYRWGR3P · pith_short_8: 4PRMUGOX

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/4PRMUGOXSYRWGR3POM7UAUBIO2 \
  | 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: e3e2ca19d7962363476f733f40502876b57593779c266683967926c9054589b8

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "63a8801f3385b7f89066309346fc4efe2d69bd7fa8c5d3ff52ecdeeae840a831",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T19:32:11Z",
    "title_canon_sha256": "73214917211d846889c2eedb50f229c1143ce1e33b627ce0ef3f22fda11508fc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15235",
    "kind": "arxiv",
    "version": 1
  }
}