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Paper Citation Record · LEDGER

TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.13701.

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

pith.paper-citation-record.v1
2305.13701 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:26.957663Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:50:12.487407Z

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 91bda325-a753-4518-aa61-eeb09eeccd05 · inbound

Transferable Adversarial Attacks on Audio Deepfake Detection cites this paper.

Transferable Adversarial Attacks on Audio Deepfake Detection TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:50:12.492831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T17:50:12.313559Z digest=sha256:5f7e536e013a4967b182e480738717bae8975a8ef431900006c36cd302f542e3

Observation b83e0254-48ea-415a-8e6b-be60a2249431 · inbound

FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning cites this paper.

FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T11:24:26.957663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:24:26.957663Z digest=sha256:1ec66589eed9cb0f77c81c03f45637a6f327bbf84becfe273e1d5da8d8839855

Observation be4c628a-d3da-4f69-87aa-005240f56fbc · inbound

End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation cites this paper.

End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T05:20:22.486883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:20:22.486883Z digest=sha256:223b85790c5a7a39ded992462527aface01331171adb5dc57a36365f3df3803b

Observation 3e6779e1-87aa-4b93-aad5-977786733425 · inbound

SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation cites this paper.

SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T12:34:20.057072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T12:34:20.057072Z digest=sha256:3575acddd62153c71bbc5b2cb27ae29ceda24faa0925b308c5268677045ec904