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Paper Citation Record · LEDGER

GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification

As of 10 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2508.01172.

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

pith.paper-citation-record.v1
2508.01172 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:53:10.457429Z

measured 6 of 6 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

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a319d38d-47c3-4d2b-8c95-24937f101dea · outbound

This paper cites Bulbar als detection based on analysis of voice perturbation and vibrato.

GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification Bulbar als detection based on analysis of voice perturbation and vibrato

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:53:10.538390Z

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=2026-08-06T05:53:10.451893Z digest=sha256:1a609a51b550fef9b8e0ceb490d585d70183296c33917b4968fabdf0c759be5f

Observation 8ab19264-d2cf-46c7-a2a7-fb45a8749c1a · outbound

This paper cites Convolutional neural networks for pathological voice detection.

GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification Convolutional neural networks for pathological voice detection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:53:10.521796Z

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=2026-08-06T05:53:10.457429Z digest=sha256:d90a85542d5dc81d0b9552a369a5f73ea4927b7eb0a04e4d3ee488294f5c3e17

Observation 9158a517-afc8-4670-9ad4-46d0ed5fc0e0 · outbound

This paper cites V oice pathology detection using machine learning technique.

GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification V oice pathology detection using machine learning technique

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:53:10.589363Z

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=2026-08-06T05:53:10.429704Z digest=sha256:fd100593a07d7c1adfad7acf1997dc9d5a716c421672e9e8216b7c4d02165f4a

Observation 3e87a55f-b737-410b-9ed7-64f32ca9f7ed · outbound

This paper cites Automatic voice disorder classification using vowel formants.

GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification Automatic voice disorder classification using vowel formants

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:53:10.573284Z

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=2026-08-06T05:53:10.435724Z digest=sha256:67bc414a959121e9b4cc912c4a3d78f909626bc0874e92a35c3374f1061bfe1e

Observation d325872d-3f9e-47de-b43b-5896dc7d37d4 · outbound

This paper cites Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis.

GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T05:53:10.446435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:53:10.446435Z digest=sha256:c822f55bd59a5f6a639366009c96346369d9e82cd861a68253a5203f3f8415a8

Observation 1fbcccf4-8c06-4a75-bbae-c852c64e762c · outbound

This paper cites Speaker gender recognition based on deep neural networks and resnet50.

GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification Speaker gender recognition based on deep neural networks and resnet50

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:53:10.556289Z

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=2026-08-06T05:53:10.441351Z digest=sha256:76c1dc3c8d7dacace437e6585326877b920cbfdd146c31dd9f9b647fad8f44f2

Pith citing papers

No inbound Pith citation observations are available.