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Paper Citation Record · LEDGER

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2606.21115.

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

pith.paper-citation-record.v1
2606.21115 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:47:05.136483Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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External citation measurements

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Outbound references

Observation fdadfa45-dc55-4048-a7cd-cc7237b292b2 · outbound

This paper cites Contactless health monitoring: An overview of video-based techniques utilising machine/deep learning,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Contactless health monitoring: An overview of video-based techniques utilising machine/deep learning,

Reference 1

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Observation 51b7d3b9-344e-45f6-9813-4de49f4dab40 · outbound

This paper cites A comparative study of principled rppg-based pulse rate tracking algorithms for fitness activities,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems A comparative study of principled rppg-based pulse rate tracking algorithms for fitness activities,

Reference 2

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Observation ba6836db-9abc-457e-a6ac-a8c36717cd3c · outbound

This paper cites End-to-end multimodal emotion recognition based on facial expressions and remote photoplethysmography signals,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems End-to-end multimodal emotion recognition based on facial expressions and remote photoplethysmography signals,

Reference 3

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Observation 9fcf45f4-8bd7-41ac-9fed-cff217decda0 · outbound

This paper cites Facial-video-based physiological signal measurement: Recent advances and affective applications,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Facial-video-based physiological signal measurement: Recent advances and affective applications,

Reference 4

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Observation bbf2a6c3-dce8-4673-99f3-5a33d79dbf61 · outbound

This paper cites Sparseppg: Towards driver monitoring using camera-based vital signs estimation in near-infrared,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Sparseppg: Towards driver monitoring using camera-based vital signs estimation in near-infrared,

Reference 5

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source=pdf_text observed=2026-06-26T14:47:05.136483Z digest=sha256:5984345d8cebc7800d22fb57f89bd28857e29ac2238d1ba6fbf44ee6a0f8173f

Observation 7f415083-436d-4efc-8786-ca4b35045289 · outbound

This paper cites Ai innovations in rppg systems for driver monitoring: Comprehensive systematic review and future prospects,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Ai innovations in rppg systems for driver monitoring: Comprehensive systematic review and future prospects,

Reference 6

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Observation 551b054e-7bbc-4664-af24-3b2a1c9f3fc4 · outbound

This paper cites Robust pulse rate from chrominance- based rppg,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Robust pulse rate from chrominance- based rppg,

Reference 7

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Observation 7a2b1424-4562-4e4c-a5a0-2b325fe5f1f3 · outbound

This paper cites Detecting pulse from head motions in video,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Detecting pulse from head motions in video,

Reference 8

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Observation c93bd3a8-03f5-4830-863f-7c502c3032eb · outbound

This paper cites Deepphys: Video-based physiological measurement using convolutional attention networks,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Deepphys: Video-based physiological measurement using convolutional attention networks,

Reference 9

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Observation ff5e7949-7ef6-419b-8622-719f84cb811a · outbound

This paper cites Efficientphys: En- abling simple, fast and accurate camera-based cardiac measurement,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Efficientphys: En- abling simple, fast and accurate camera-based cardiac measurement,

Reference 10

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Observation dfda8bac-2e80-48aa-a9e5-125aa641a535 · outbound

This paper cites Phys- former: Facial video-based physiological measurement with temporal difference transformer,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Phys- former: Facial video-based physiological measurement with temporal difference transformer,

Reference 11

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source=pdf_text observed=2026-06-26T14:47:05.136483Z digest=sha256:fb47fb21ea45593d1e7325bfecb8b3ac896c41767f2254cce867aa2df4beb9b1

Observation 28e71c0d-5e2d-4192-99e7-f6ccaa6540cf · outbound

This paper cites Rhythmformer: Extracting rppg signals based on hierarchical temporal periodic transformer,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Rhythmformer: Extracting rppg signals based on hierarchical temporal periodic transformer,

Reference 12

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source=pdf_text observed=2026-06-26T14:47:05.136483Z digest=sha256:3324563a9faaaad57fe67fe1827c1b9588bfb06b81b1dcf0bb36c83c91b67df6

Observation 095a7cf0-f02d-45ba-8068-d07c6c87ce2e · outbound

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

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 224e902e-1dd9-433b-8d31-2f4ac522da27 · outbound

This paper cites Physmamba: Efficient remote physio- logical measurement with slowfast temporal difference mamba,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Physmamba: Efficient remote physio- logical measurement with slowfast temporal difference mamba,

Reference 14

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Observation 23b5fbc7-6cc0-4e5a-ab30-6a617b4b55a2 · outbound

This paper cites Rhythmmamba: Fast, lightweight, and accurate remote physiological measurement,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Rhythmmamba: Fast, lightweight, and accurate remote physiological measurement,

Reference 15

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Observation 7e93b208-5e09-42e0-9cc0-e902c698a4c6 · outbound

This paper cites Blending camera and 77 ghz radar sensing for equitable, robust plethysmography.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Blending camera and 77 ghz radar sensing for equitable, robust plethysmography

Reference 16

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Observation 76a52f32-ad88-45ba-ade9-d5d5b04d5123 · outbound

This paper cites Non-contact, automated cardiac pulse measurements using video imaging and blind source separation.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Non-contact, automated cardiac pulse measurements using video imaging and blind source separation

Reference 17

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source=pdf_text observed=2026-06-26T14:47:05.136483Z digest=sha256:6f2d5455656b757209052be1a44c14a2b55cff85bdf69980cc7cc1196a4477b1

Observation 78210ca8-4245-4c2c-8cc2-a1bfa09d7e7d · outbound

This paper cites Algo- rithmic principles of remote ppg,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Algo- rithmic principles of remote ppg,

Reference 18

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source=pdf_text observed=2026-06-26T14:47:05.136483Z digest=sha256:4d9d8f066bb1af0cc09f5402a86fbbac3cb2a617fc572807b965c2089368f2c8

Observation bfdd12ca-f116-4961-9517-4b01407af174 · outbound

This paper cites Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2bd333e1-54e0-4599-80d9-78625ba2459e · outbound

This paper cites Self-supervised rgb-nir fusion video vision transformer framework for rppg estimation,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Self-supervised rgb-nir fusion video vision transformer framework for rppg estimation,

Reference 20

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Observation 11bf8371-080a-4c1d-b6fb-f9809d06de6e · outbound

This paper cites Memory-efficient Low-latency Remote Photoplethysmography through Temporal-Spatial State Space Duality.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Memory-efficient Low-latency Remote Photoplethysmography through Temporal-Spatial State Space Duality

Reference 21

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arxiv_id, observed 2026-07-04T06:09:37.637232Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b6a27267-3e26-4c5e-aa01-17039ea526a1 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems Film: Visual reasoning with a general conditioning layer,

Reference 22

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Observation f34a4c1c-563c-448e-a5a3-6dac9e928c6b · outbound

This paper cites The validity and practicality of sun-reactive skin types i through vi,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems The validity and practicality of sun-reactive skin types i through vi,

Reference 23

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Observation c02ea31b-2c4d-4d8b-afad-c0ae20642b1e · outbound

This paper cites rppg-toolbox: Deep remote ppg toolbox,.

MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems rppg-toolbox: Deep remote ppg toolbox,

Reference 24

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Pith citing papers

No inbound Pith citation observations are available.