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Paper Citation Record · LEDGER

Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.08215.

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

pith.paper-citation-record.v1
2407.08215 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:38:50.611600Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:50:59.041223Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cb079c00-c3c9-41b8-92a2-ce23e6900585 · inbound

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

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T16:38:50.611600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:38:50.611600Z digest=sha256:0fcf878fe9d85402670463e9c1cf91dc721e4c40aafbd239c1dc12995ad16aec

Observation 882f7820-c46e-4e6f-85c6-29e34cb4fbea · inbound

CARE-ECG: Causal Agent-based Reasoning for Explainable and Counterfactual ECG Interpretation cites this paper.

CARE-ECG: Causal Agent-based Reasoning for Explainable and Counterfactual ECG Interpretation Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:30:56.810169Z

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.

source=pdf_text observed=2026-05-10T16:36:56.805081Z digest=sha256:575beab83c5648424e2bc7ed0a350004a13805ac1a1f50a948965324c87b22be

Observation 0bd4df05-4ab6-4aa1-8975-891d827e4af6 · inbound

Membership Inference Attacks Expose Participation Privacy in ECG Foundation Encoders cites this paper.

Membership Inference Attacks Expose Participation Privacy in ECG Foundation Encoders Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:50:59.042842Z

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.

source=pdf_text observed=2026-05-10T16:27:26.460690Z digest=sha256:ab6d3da6e2c213ec846ffab40680bad6d4973e6d79fd496d04fe9021ee9331af

Observation f71721c9-9772-40c0-93a3-2e19a1c5793b · inbound

PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning cites this paper.

PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:51.256570Z

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.

source=pdf_text observed=2026-05-11T01:41:08.291347Z digest=sha256:532ab1a86d5196925aab36c702599a8b407ec4b4898479161eb7529676a504dd

Observation 330ad048-ae43-45e2-8d8c-e610503845d1 · inbound

PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning cites this paper.

PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T17:21:35.916458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T17:21:35.916458Z digest=sha256:ae6989d59292dd63eb6ef85f25d33fa3d6799a6ae9b16d077d3d12021248b7c0