Paper Citation Record · LEDGER

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 5 inbound Pith citation observations for arXiv:2507.00191.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.00191 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:27:49.108407Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T01:38:50.523432Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy4
unresolved19
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 58d6c267-0c71-471f-b004-9c26cb22c7ef · outbound

This paper cites Wearable Accelerometer Foundation Models for Health via Knowledge Distillation.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Wearable Accelerometer Foundation Models for Health via Knowledge Distillation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:48.599738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21fe54e4-efba-4aaf-be6a-6d5845580d71 · outbound

This paper cites an unresolved cited work.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:27:49.399441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f19b4665-fbac-4d82-99f2-ce35937ab5a9 · outbound

This paper cites A potential limitation of tuple-based approaches is their poor scalablity and potential down-weighting of sparse but informative variables.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions A potential limitation of tuple-based approaches is their poor scalablity and potential down-weighting of sparse but informative variables

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:27:49.386992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ce50233-c204-4ca8-a535-0c5e1be3a125 · outbound

This paper cites EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.047891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1190b8c-9912-4dcf-acee-312bf9bbf0fd · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.056042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad997f3-6ae3-4738-b61a-f591016d5712 · outbound

This paper cites Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.059855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b91b11-b963-4f4f-8286-76fce4e44e75 · outbound

This paper cites Scaling Wearable Foundation Models.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Scaling Wearable Foundation Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.063113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5eae552-9d12-4ed1-aeb2-f94deb53a6a1 · outbound

This paper cites Searching for Activation Functions.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Searching for Activation Functions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.066547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6109b92e-7683-4efa-a6b9-a35d10da55d4 · outbound

This paper cites Self-Attention with Relative Position Representations.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Self-Attention with Relative Position Representations

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-06T21:27:49.076264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda1d660-cd62-4881-9c78-db3ea3a0bdf1 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Unified Training of Universal Time Series Forecasting Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.083568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae4cf21-3734-42ec-a7e4-5dafc7bc5b7c · outbound

This paper cites Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.086528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d5b91af-3dd6-4b4d-9efd-46c7678008f0 · outbound

This paper cites RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.089541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 453f87e8-192d-44b8-ad7b-db6d40ae34a5 · outbound

This paper cites Simple Contrastive Representation Learning for Time Series Forecasting.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Simple Contrastive Representation Learning for Time Series Forecasting

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.092650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 218e05c6-9978-45bc-ab28-8dc5d5936978 · outbound

This paper cites Different colors refer to different variable types.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Different colors refer to different variable types

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:27:49.374500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46dc4b5d-a1a8-41a3-88e9-663ef4e93aa2 · outbound

This paper cites The relative performance of models is consistent with the age prediction performance, with TST with Mamba-2 performing best.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions The relative performance of models is consistent with the age prediction performance, with TST with Mamba-2 performing best

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:27:49.362499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81815fcd-7349-47ae-a308-29110b2f5f71 · outbound

This paper cites positive.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions positive

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:27:49.349215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2b2021e-7c8c-41be-8ac3-3e96a38e962e · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.069721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9aca247-4f95-477c-943d-46e493c1b9b7 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions On the Opportunities and Risks of Foundation Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:48.886208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb243fb-c630-46bb-a116-f4e737dcec20 · outbound

This paper cites doi: 10.1056/NEJMsr1809937.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions doi: 10.1056/NEJMsr1809937

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:48.980547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 912c02f0-3d45-4b97-8df6-b49953218111 · outbound

This paper cites Is Mamba Effective for Time Series Forecasting?.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Is Mamba Effective for Time Series Forecasting?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.079891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 132ca794-42e3-4312-a187-ed3fd58eb918 · outbound

This paper cites Spreading vectors for similarity search.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Spreading vectors for similarity search

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.073028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad8a8bad-516c-4c5a-bae9-dbb5e01be49d · outbound

This paper cites Chronos: Learning the Language of Time Series.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Chronos: Learning the Language of Time Series

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:48.766903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef378412-3800-4bfa-9464-198dcedba9f5 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:48.902158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac50c5c-63fd-4ebb-8777-4d35dc284b73 · outbound

This paper cites TimeGPT-1.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions TimeGPT-1

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:49.052504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8becf631-184c-4daa-9d68-b7726ad064ba · inbound

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook cites this paper.

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:53:08.565951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca9c3c30-7d62-4269-9f4f-6217e1a4fe89 · inbound

Wearable AI in the Era of Large Sensor Models cites this paper.

Wearable AI in the Era of Large Sensor Models Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:58.066372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 01be5d8d-479a-46d7-8b24-403bdf8a4c92 · inbound

Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning cites this paper.

Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:06.156861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d86cff71-d069-450d-8332-4d63922a00d6 · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T00:28:42.780106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09e645f0-7307-44de-8513-54e13b429d0e · inbound

Physical activities enable scalable foundation modelling for broad-spectrum health prediction cites this paper.

Physical activities enable scalable foundation modelling for broad-spectrum health prediction Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T01:45:50.835131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.