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Paper Citation Record · LEDGER

Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.02246.

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

pith.paper-citation-record.v1
2206.02246 v2

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:03:06.330734Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T19:47:29.423543Z

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 f13d78d0-5ab2-42a7-86a3-f579556c8059 · inbound

ModelScope Text-to-Video Technical Report cites this paper.

ModelScope Text-to-Video Technical Report Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:47:29.426574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T19:47:29.252026Z digest=sha256:3e2b770486d110c552f4d1acd59063fc5538efe763c38ab691c89218f3d59438

Observation 9a565f10-307a-40ce-a914-be03f4ea4390 · inbound

PQD: Post-training Quantization for Efficient Diffusion Models cites this paper.

PQD: Post-training Quantization for Efficient Diffusion Models Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T23:03:06.330734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:03:06.330734Z digest=sha256:f0ce75d2a62cb48533537694bba2a25f2a23ace47e67dd6c07d7982fc475a11c