Pith Number

pith:5ZOCOI2E

pith:2026:5ZOCOI2ER2IVBGP5JOEIN24QIG

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Uncovering Trajectory and Topological Signatures in Multimodal Pediatric Sleep Embeddings

Harlin Lee, Scott Ye

Augmenting multimodal pediatric sleep embeddings with geometric, topological, and clinical features yields complementary gains in predicting breathing events and arousals.

arxiv:2605.14156 v1 · 2026-05-13 · cs.LG

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\usepackage{pith}
\pithnumber{5ZOCOI2ER2IVBGP5JOEIN24QIG}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications 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

Simple linear and MLP models show that geometric, topological, and clinical features each provide complementary gains, with AUPRC improving from 0.26 to 0.34 for desaturation, 0.31 to 0.48 for EEG arousal, 0.09 to 0.22 for hypopnea, and 0.05 to 0.14 for apnea. The full fusion model yields the best calibration across all four binary tasks.

C2weakest assumption

That the reported performance gains arise from truly complementary signals in the added features rather than from overfitting, post-hoc feature selection, or dataset-specific artifacts in the imbalanced pediatric PSG data.

C3one line summary

Augmenting multimodal pediatric sleep embeddings with PHATE trajectories, persistent homology, movement descriptors, and EHR improves AUPRC and calibration for predicting desaturation, EEG arousal, hypopnea, and apnea.

References

41 extracted · 41 resolved · 0 Pith anchors

[1] Guillaume Tauzin and Umberto Lupo and Lewis Tunstall and Julian Burella Pérez and Matteo Caorsi and Anibal Medina-Mardones and Alberto Dassatti and Kathryn Hess , year=. giotto-tda:. 2004.02551 , arch 2004

[2] Goldberger, Ary L and Amaral, Luis AN and Glass, Leon and Hausdorff, Jeffrey M and Ivanov, Plamen Ch and Mark, Roger G and Mietus, Joseph E and Moody, George B and Peng, Chung-Kang and Stanley, H Euge 2000

[3] Zhang, Guo-Qiang and Cui, Licong and Mueller, Remo and Tao, Shiqiang and Kim, Matthew and Rueschman, Michael and Mariani, Sara and Mobley, Daniel and Redline, Susan , journal=. 2018 , publisher= 2018

[4] 2024 , volume = 2024

[5] Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month = 2022

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:11.532013Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ee5c2723448e915099fd4b8886eb9041abcf55cfc7efd099c788d1c03d5618d5

Aliases

arxiv: 2605.14156 · arxiv_version: 2605.14156v1 · doi: 10.48550/arxiv.2605.14156 · pith_short_12: 5ZOCOI2ER2IV · pith_short_16: 5ZOCOI2ER2IVBGP5 · pith_short_8: 5ZOCOI2E

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/5ZOCOI2ER2IVBGP5JOEIN24QIG \
  | 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: ee5c2723448e915099fd4b8886eb9041abcf55cfc7efd099c788d1c03d5618d5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "48af25b02f32bcf29f496d1b972e5afd3e23ebcd36999c0d3cd197e111602913",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T22:11:28Z",
    "title_canon_sha256": "9927227da91f02481ca93903bd8db80d5218594b35f3c3347057b15cc45411f3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14156",
    "kind": "arxiv",
    "version": 1
  }
}