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Paper Citation Record · LEDGER

High Fidelity Speech Synthesis with Adversarial Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1909.11646.

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

pith.paper-citation-record.v1
1909.11646 v2

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:00.168299Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:24:33.752020Z

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 4a4bdca5-3571-4d96-85ea-93047e952029 · inbound

VideoGPT: Video Generation using VQ-VAE and Transformers cites this paper.

VideoGPT: Video Generation using VQ-VAE and Transformers High Fidelity Speech Synthesis with Adversarial Networks

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:24:33.753442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T17:24:33.725187Z digest=sha256:01009056d6a83587e3124830ba74e7336a592418beb2305c5d8c9cc2e20934af

Observation cce0a23e-e478-4622-9f83-5b4db8f6c4c1 · inbound

An Exploratory Study on Multi-modal Generative AI in AR Storytelling cites this paper.

An Exploratory Study on Multi-modal Generative AI in AR Storytelling High Fidelity Speech Synthesis with Adversarial Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:00.168299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:00.168299Z digest=sha256:73f35a7f0217e25a20a32e42566175190bc1a7dc8cd3b6dcd8043fe13512dd11

Observation 8eb9f75b-b0e8-4363-b4a8-b71ef8f3e32a · inbound

WaveLLDM: Design and Development of a Lightweight Latent Diffusion Model for Speech Enhancement and Restoration cites this paper.

WaveLLDM: Design and Development of a Lightweight Latent Diffusion Model for Speech Enhancement and Restoration High Fidelity Speech Synthesis with Adversarial Networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T14:36:37.553734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:36:37.553734Z digest=sha256:d6e409011c86e646612c5e370a57cce90a3aecd63640bd83f9df94722976873f

Observation 6985d521-e209-40d3-85f4-5f1b2c484767 · inbound

ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models cites this paper.

ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models High Fidelity Speech Synthesis with Adversarial Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-13T05:10:26.667731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T05:10:26.667731Z digest=sha256:c8a90466d76e5d93c80f04487b6fe0961df8e99d8c05a8c46241bc7aeaa32a6a