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Paper Citation Record · LEDGER

TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.04410.

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

pith.paper-citation-record.v1
2110.04410 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 2026-08-09T20:10:32.795144Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:06:27.706149Z

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 2b7594a7-59f6-4735-b6aa-48d17cafefbc · inbound

Sparse Autoencoder Insights on Voice Embeddings cites this paper.

Sparse Autoencoder Insights on Voice Embeddings TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T20:10:32.795144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:10:32.795144Z digest=sha256:41a30eda653407800032513ac558ca5ac631c28a0e0a62703966b1fa65647f45

Observation 4d4c8745-b6ff-4949-98cc-6fd0a86d2b12 · inbound

CASPER: A Large Scale Spontaneous Speech Dataset cites this paper.

CASPER: A Large Scale Spontaneous Speech Dataset TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:48.497846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:48.497846Z digest=sha256:ec42cdfb7424a2eaa4a00ca5fe4976cfa4b923a8a01e8954b2be7de4c77d7819

Observation 621ac497-a784-4762-89d9-3e37f052db9f · inbound

CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations cites this paper.

CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:34.750099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:14:34.750099Z digest=sha256:b7532b93305a0f92e15f76c2391653d7a48591e08bec189aedb9f3065a0cb6c7

Observation 8a449894-0fcb-4aea-80f3-7b42929f58de · inbound

Do We Still Need Audio? Rethinking Speaker Diarization with a Text-Based Approach Using Multiple Prediction Models cites this paper.

Do We Still Need Audio? Rethinking Speaker Diarization with a Text-Based Approach Using Multiple Prediction Models TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T04:15:55.984530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:15:55.984530Z digest=sha256:2453b282018d3bdf55821d3218d96e88d71a569202bea891afbd9245617430fc

Observation 51f08673-30bf-4e05-81f3-70f6ac97969f · inbound

Voice Biomarkers for Depression and Anxiety cites this paper.

Voice Biomarkers for Depression and Anxiety TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:06:27.709017Z

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=2026-05-12T04:33:48.062678Z digest=sha256:7a81eeb50d9960db93d2b1711180f2cfd9d8916e3fac57a19367a31eec02ee7d