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Paper Citation Record · LEDGER

Multimodal Stress Detection Using Facial Landmarks and Biometric Signals

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.03606.

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

pith.paper-citation-record.v1
2311.03606 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:40:15.535136Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:46:20.636571Z

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 46712609-34be-4b3a-a557-2b3a8cf56931 · inbound

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning cites this paper.

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning Multimodal Stress Detection Using Facial Landmarks and Biometric Signals

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T22:40:15.535136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:40:15.535136Z digest=sha256:30a4d74c2308779cd364b43e5741be4f0ea1c2ef85e5225cbda5ab077a7ec60f

Observation 9ac0426a-dba5-4cf6-ad99-32fb1a86ee02 · inbound

UL-DD: A Multimodal Drowsiness Dataset Using Video, Biometric Signals, and Behavioral Data cites this paper.

UL-DD: A Multimodal Drowsiness Dataset Using Video, Biometric Signals, and Behavioral Data Multimodal Stress Detection Using Facial Landmarks and Biometric Signals

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:46:20.753334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:46:19.193674Z digest=sha256:58d54b80d6a4373060862cc75d4bf530a7a772c65d7bc5baceb4ba28042fb12b