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Paper Citation Record · LEDGER

Probing mental health information in speech foundation models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.19042.

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

pith.paper-citation-record.v1
2409.19042 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:13:35.466397Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:56.310997Z

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 0b6cc312-e838-4e49-a0ac-6a993cb5189c · inbound

InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization cites this paper.

InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization Probing mental health information in speech foundation models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:36:56.312548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T02:03:42.928266Z digest=sha256:dd8525652252e1b2fbb302e24bdbbe3550ce1e46e0f601cef7aed22bd2a9cad3

Observation 4d3ac612-fd65-448d-abf0-a72c271e526d · inbound

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training cites this paper.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Probing mental health information in speech foundation models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T05:13:35.466397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:13:35.466397Z digest=sha256:8da15f2b09e7554eca73a28d46841b01e5359f7ccb2b9a23a11cd9d2ebc30281