Paper Citation Record · LEDGER

A robust PPG foundation model using multimodal physiological supervision

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2606.07365.

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

pith.paper-citation-record.v1
2606.07365 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:20:51.569973Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T07:56:28.587529Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact8
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2cdc385a-b0f6-4ac3-b32e-9a1c8bdfe322 · outbound

This paper cites Large-scale Training of Foundation Models for Wearable Biosignals.

A robust PPG foundation model using multimodal physiological supervision Large-scale Training of Foundation Models for Wearable Biosignals

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:10.271002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 059d1f00-6986-4cb4-977a-3b6bd36fce9d · outbound

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

A robust PPG foundation model using multimodal physiological supervision Wearable Accelerometer Foundation Models for Health via Knowledge Distillation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:47:10.260484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1575e807-93f3-4294-8de3-5894c868f427 · outbound

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

A robust PPG foundation model using multimodal physiological supervision On the Opportunities and Risks of Foundation Models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-02T16:47:10.265645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f7b030b1-76f3-4056-a446-d939af41b149 · outbound

This paper cites ncbi.nlm.nih.gov/books/NBK482414/.

A robust PPG foundation model using multimodal physiological supervision ncbi.nlm.nih.gov/books/NBK482414/

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T22:20:51.569973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa8446f-a8d0-481e-b2f6-8dab71d2216f · outbound

This paper cites MAEEG: Masked Auto-encoder for EEG Representation Learning.

A robust PPG foundation model using multimodal physiological supervision MAEEG: Masked Auto-encoder for EEG Representation Learning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:10.263108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e36be3d-f7bd-4e38-9880-c5ed7b1ef3c8 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for lan- guage understanding.

A robust PPG foundation model using multimodal physiological supervision Bert: Pre-training of deep bidirectional transformers for lan- guage understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T22:20:51.569973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420e511f-2441-4a4d-ac2f-054911d8afd6 · outbound

This paper cites Promoting cross-modal representations to improve multimodal foundation models for physiological signals.

A robust PPG foundation model using multimodal physiological supervision Promoting cross-modal representations to improve multimodal foundation models for physiological signals

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:47:10.263310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca007f21-bcfa-466f-b958-747351ed9ae5 · outbound

This paper cites Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals.

A robust PPG foundation model using multimodal physiological supervision Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:10.268978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a7d0d69e-2ba3-4784-9a2c-ce7f62d45881 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

A robust PPG foundation model using multimodal physiological supervision UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 9

Resolution: malformed identifier; local_arxiv, observed 2026-07-02T16:47:10.236148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96f79c69-e62f-4bc2-9e82-8dbd651f9095 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

A robust PPG foundation model using multimodal physiological supervision A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T16:47:10.273572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d12092f-5111-4a84-a85e-cf4d75f80708 · outbound

This paper cites PaPaGei: Open Foundation Models for Optical Physiological Signals.

A robust PPG foundation model using multimodal physiological supervision PaPaGei: Open Foundation Models for Optical Physiological Signals

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:47:10.231095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6b4d73c-2013-46b5-9c35-719b1fd7ed48 · outbound

This paper cites Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings.

A robust PPG foundation model using multimodal physiological supervision Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:47:10.233733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2cc07646-d55f-44d7-a65e-5f96630d5559 · outbound

This paper cites Joint Embedding Predictive Architectures Focus on Slow Features.

A robust PPG foundation model using multimodal physiological supervision Joint Embedding Predictive Architectures Focus on Slow Features

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:10.225485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a85f7723-413d-420f-9951-9acf105bccc5 · outbound

This paper cites Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding.

A robust PPG foundation model using multimodal physiological supervision Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:47:10.220589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 289321d7-fbc2-4e4a-84c3-74988e21c47b · outbound

This paper cites VitalVideos-Europe: A dataset of face videos with PPG and blood pressure ground truths.

A robust PPG foundation model using multimodal physiological supervision VitalVideos-Europe: A dataset of face videos with PPG and blood pressure ground truths

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:47:10.223086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95285bc3-c8a0-4ced-a6f9-63e0cfb32ad2 · outbound

This paper cites Cardiorespiratory dynamic response to mental stress: A multivariate time-frequency analysis.Computational and mathematical methods in medicine, 2013(1):451857,.

A robust PPG foundation model using multimodal physiological supervision Cardiorespiratory dynamic response to mental stress: A multivariate time-frequency analysis.Computational and mathematical methods in medicine, 2013(1):451857,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T22:20:51.569973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2192f8e-d106-432a-bf83-387b044c8835 · outbound

This paper cites REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning.

A robust PPG foundation model using multimodal physiological supervision REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:10.238650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 985e1b39-0324-4133-9a69-de1f71d11b78 · outbound

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

A robust PPG foundation model using multimodal physiological supervision RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:10.227947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5166af54-c284-49cc-9b6a-094636e64429 · outbound

This paper cites SensorLM: Learning the Language of Wearable Sensors.

A robust PPG foundation model using multimodal physiological supervision SensorLM: Learning the Language of Wearable Sensors

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:47:10.218057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 258518a5-2ffd-4260-83c6-418e0b69fc04 · outbound

This paper cites ECG and RESP pre-processing We identify sessions containing more than one hour of continuous data across all three modalities: ECG, RESP, and PPG.

A robust PPG foundation model using multimodal physiological supervision ECG and RESP pre-processing We identify sessions containing more than one hour of continuous data across all three modalities: ECG, RESP, and PPG

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T22:20:51.569973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adcfa76c-fe3f-41c8-b7e4-05ce03f49d06 · outbound

This paper cites Although the dataset records data from a variety of physiological sensors, we only select the PPG data, which is recorded with a 64Hz sensor.

A robust PPG foundation model using multimodal physiological supervision Although the dataset records data from a variety of physiological sensors, we only select the PPG data, which is recorded with a 64Hz sensor

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T22:20:51.569973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3c5939-d26c-48b2-9159-aea89904aaea · outbound

This paper cites The study consists of baseline dataset collection, a VR familiarity task, and then a set of VR stimuli with post-exposure questionnaires.

A robust PPG foundation model using multimodal physiological supervision The study consists of baseline dataset collection, a VR familiarity task, and then a set of VR stimuli with post-exposure questionnaires

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T22:20:51.569973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1088e039-6c05-4c0b-bc7e-c6bbaef67c67 · outbound

This paper cites There are three PPG recordings for each subject that last around 2 second each, and 219 subjects in total.

A robust PPG foundation model using multimodal physiological supervision There are three PPG recordings for each subject that last around 2 second each, and 219 subjects in total

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T22:20:51.569973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7baf1f-40f5-4766-80a8-0e637a62281c · outbound

This paper cites The dataset records data from 16 subjects, and each PPG sensor records at 128 Hz.

A robust PPG foundation model using multimodal physiological supervision The dataset records data from 16 subjects, and each PPG sensor records at 128 Hz

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T22:20:51.569973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 170b3442-ef90-4383-959e-3f1d1516a46f · outbound

This paper cites Checkpoint selection.During pretraining we save checkpoints for the backbone every 5000 steps.

A robust PPG foundation model using multimodal physiological supervision Checkpoint selection.During pretraining we save checkpoints for the backbone every 5000 steps

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T22:20:51.569973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 62d221eb-c995-4dee-971a-c9bb44343ca1 · inbound

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence cites this paper.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence A robust PPG foundation model using multimodal physiological supervision

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T07:56:28.587529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.