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PulseBound: Future-Beat State Forecasting Under an Explicit Information Boundary — arXiv:2610.12010

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.12010
License (as archived): CC0-1.0
Archived: 2026-10-09T05:48:29.032Z
SHA-256 of the archived text: f9fe7dde8b4ad8e51f62e17fbaac79c3804194962afb5f50dfc31d8d2a846e36
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How to cite

PulseBound: Future-Beat State Forecasting Under an Explicit Information Boundary — arXiv:2610.12010 — arXiv (en), https://arxiv.org/abs/2610.12010 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_2829500fa0bd (Metraipolis archive dc_2829500fa0bd, sha256 f9fe7dde8b4ad8e51f62e17fbaac79c3804194962afb5f50dfc31d8d2a846e36)

BibTeX

@misc{dc2829500fa0bd,
  title = {PulseBound: Future-Beat State Forecasting Under an Explicit Information Boundary — arXiv:2610.12010},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.12010},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_2829500fa0bd; sha256 f9fe7dde8b4ad8e51f62e17fbaac79c3804194962afb5f50dfc31d8d2a846e36},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.12010. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Predictive representation learning from photoplethysmography (PPG) can violate causal information access even with causal attention, as normalization, nonlocal transforms, or companion views may depend on withheld samples. We introduce PulseBound, a PPG representation learner combining physiologically structured future-beat prediction with an explicit stored-window information boundary. A content-independent cutoff separates the visible prefix from the prediction target. Prefix-only normalization, suffix replacement before derived-view construction, and aligned masking ensure that encoder inputs depend only on the visible prefix and cutoff. This yields stored-suffix invariance: with fixed model state, randomness, prefix, and cutoff, changing the stored suffix cannot change the forecast context. A shared horizon-conditioned head predicts nine rhythm and morphology descriptors for up to four extractor-valid future beats, using elementwise validity masks; optional ECG-derived pulse-arrival-time supervision is restricted to training. On MIMIC and VitalDB groups held out from PulseBound backbone pretraining, PulseBound reduces nine-state transformed-space MAE relative to last-visible-beat persistence by 28.06% and 22.22%, respectively, with gains in MAE, MAE-Skill, and Spearman correlation across all 40 source-cutoff-horizon cells. In a separate comparison of seven models on 13 downstream tasks, PulseBound achieves the best mean on nine frozen linear-probe and seven full-fine-tuning tasks. Stored-suffix interventions cause zero recorded changes in forecast contexts or predictions, with zero suffix-input gradients at audited precision under the stored-window interface. These findings separate three testable aspects of predictive physiological representation learning: information access, supervised future structure, and transfer.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2610.12010 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-09T05:47:00.998Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).