Pith Number

pith:3XSV7YHW

pith:2026:3XSV7YHWKR55ZXY2ZTDURL5BHA

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Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signal

Denizhan Kara, Hongjue Zhao, Jinyang Li, Shengzhong Liu, Tarek Abdelzaher, Tomoyoshi Kimura, Xiaomin Ouyang, Yigong Hu, Yizhuo Chen

Dywave uses wavelet decomposition to align tokens with semantic events in IoT signals.

arxiv:2605.14014 v1 · 2026-05-13 · cs.LG · cs.AI

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2 Internet Archive

3 Author claim open · sign in to claim

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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

Extensive evaluations on five real-world IoT sensing datasets across activity recognition, stress assessment, and nearby object detection demonstrate that Dywave outperforms state-of-the-art methods by up to 12% in accuracy, while improving computational efficiency by reducing input token lengths by up to 75% across mainstream sequence models.

C2weakest assumption

That wavelet-based hierarchical decomposition can reliably and automatically identify meaningful temporal boundaries that correspond to underlying semantic events in heterogeneous, non-stationary IoT signals without task-specific tuning that would limit generality.

C3one line summary

Dywave applies wavelet-based hierarchical decomposition to build dynamic, event-aligned tokens for heterogeneous IoT signals, cutting token length by up to 75% while raising accuracy up to 12% on sequence models.

References

300 extracted · 300 resolved · 3 Pith anchors

[1] Ahia, O., Kumar, S., Gonen, H., Kasai, J., Mortensen, D. R., Smith, N. A., and Tsvetkov, Y. Do all languages cost the same? tokenization in the era of commercial language models

[2] K., and Alshurafa, N 2023

[3] F., Stella, L., Turkmen, A

[4] Foundation models for cps-iot: Opportunities and challenges 2025

[5] A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M 2021

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:13.030844Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

dde55fe0f6547bdcdf1accc748afa13809eaac077c744fb30aef71006fcee99e

Aliases

arxiv: 2605.14014 · arxiv_version: 2605.14014v1 · doi: 10.48550/arxiv.2605.14014 · pith_short_12: 3XSV7YHWKR55 · pith_short_16: 3XSV7YHWKR55ZXY2 · pith_short_8: 3XSV7YHW

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/3XSV7YHWKR55ZXY2ZTDURL5BHA \
  | 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: dde55fe0f6547bdcdf1accc748afa13809eaac077c744fb30aef71006fcee99e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f3e08e5f4569d21ca0d8d2515a15cba0ddb8d160b12ca20d02017617b34ed80c",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T18:27:25Z",
    "title_canon_sha256": "18237cea6659be67281c31f121860757aaee10310756657ab02fdb7dd5b16642"
  },
  "schema_version": "1.0",
  "source": {
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    "kind": "arxiv",
    "version": 1
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}