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Paper Citation Record · LEDGER

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution

As of 12 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2501.10045.

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

pith.paper-citation-record.v1
2501.10045 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:27:35.376381Z

measured 35 of 35 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:27:35.245680Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:27:35.596808Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f126c493-39a4-4aa4-893b-ef23f527b24c · outbound

This paper cites HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution

Reference 1

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metadata mismatch
local_arxiv, observed 2026-08-10T19:27:35.601398Z

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.

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Observation 11868aff-0021-4c83-9240-33204f6451ea · outbound

This paper cites However, SR requires not only waveform reconstruction but also precise high-resolution prediction.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution However, SR requires not only waveform reconstruction but also precise high-resolution prediction

Reference 2

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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.

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Observation 0d2bf950-58bd-439a-8852-e111a31545df · outbound

This paper cites an unresolved cited work.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-10T19:27:35.939444Z

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=2026-08-10T19:27:35.255186Z digest=sha256:16e7c7d0752b5a7183477af4abaa6aa7f20b2cd76cb27c605e814a7abe8c13cd

Observation c8a7e779-2ce3-4594-a98b-476dbbfbcf91 · outbound

This paper cites an unresolved cited work.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-10T19:27:35.928792Z

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=2026-08-10T19:27:35.259336Z digest=sha256:d7d595d7c003ba5709dc17ff09d3085e938198cbdecb3070ee728ef425405e23

Observation 94dc5d04-2d0c-4da9-924e-b263d8f306bc · outbound

This paper cites Speech en- hancement via frequency bandwidth extension using line spec- tral frequencies,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Speech en- hancement via frequency bandwidth extension using line spec- tral frequencies,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.917541Z

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=2026-08-10T19:27:35.263536Z digest=sha256:0652970e31a9952a143e1dad891893c280a31e34fadef05f914500f9fa7846a8

Observation 6d42754f-9c17-430d-bf76-2fadab36fe43 · outbound

This paper cites VoiceFixer: Toward General Speech Restoration with Neural Vocoder.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution VoiceFixer: Toward General Speech Restoration with Neural Vocoder

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.267557Z digest=sha256:efd2165eb1ac7b24e956cef5ca2b432d11b051d967373f472a6a15b01d8e5a5a

Observation 3674f96c-ff99-4b43-b9c6-f9f75e7322e6 · outbound

This paper cites A mel-cepstral analysis technique restoring high frequency components from low-sampling-rate speech,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution A mel-cepstral analysis technique restoring high frequency components from low-sampling-rate speech,

Reference 7

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raw_fallback, observed 2026-08-10T19:27:35.906069Z

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=2026-08-10T19:27:35.271484Z digest=sha256:e71bee80244fbd765232c7f2166494467d35f1e07842001e1de0f05bf332e49a

Observation 4728eb77-32c6-4f39-8b6c-9e301aef2452 · outbound

This paper cites Statis- tical recovery of wideband speech from narrowband speech,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Statis- tical recovery of wideband speech from narrowband speech,

Reference 8

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raw_fallback, observed 2026-08-10T19:27:35.893744Z

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=2026-08-10T19:27:35.275385Z digest=sha256:b0d8e99361a5f7ec00b541834ffb4c3eba7e98964d4d7540ffe39886662739be

Observation 40529da6-17bf-408f-836a-259066d7554c · outbound

This paper cites Speech bandwidth extension using gaussian mixture model- based estimation of the highband mel spectrum,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Speech bandwidth extension using gaussian mixture model- based estimation of the highband mel spectrum,

Reference 9

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raw_fallback, observed 2026-08-10T19:27:35.759802Z

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=2026-08-10T19:27:35.278787Z digest=sha256:22cbaa8a7c44ba70a6d70b101e2bc460fc5fc41440234f7792f99db560594c12

Observation fd2aa87e-686e-4dee-9e5a-de3f0ec514dc · outbound

This paper cites Memory-based approxima- tion of the gaussian mixture model framework for bandwidth extension of narrowband speech,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Memory-based approxima- tion of the gaussian mixture model framework for bandwidth extension of narrowband speech,

Reference 10

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raw_fallback, observed 2026-08-10T19:27:35.746978Z

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=2026-08-10T19:27:35.282920Z digest=sha256:663861cfc949af8ac1fe4c96de840e2e091e353197d9ad672c8c7a4f6608076d

Observation f8006935-b8c6-409e-a7a4-1f4a39980641 · outbound

This paper cites Synchronous overlap and add of spectra for enhancement of excitation in artificial bandwidth extension of speech,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Synchronous overlap and add of spectra for enhancement of excitation in artificial bandwidth extension of speech,

Reference 11

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raw_fallback, observed 2026-08-10T19:27:35.735295Z

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=2026-08-10T19:27:35.286401Z digest=sha256:5829a3f785fb7f31a8f0257840866533ccc0839c2abb59dd6f9e9b79a945d0c3

Observation 11693ab4-d8b6-4656-8959-106c551b3972 · outbound

This paper cites Audio super resolu- tion using neural networks,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Audio super resolu- tion using neural networks,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.722653Z

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=2026-08-10T19:27:35.290114Z digest=sha256:c4024564362045d2f79a4ca74ffcca1e49a466214ee4bb4f424154ed8d6f3e0e

Observation 7ea5a7e0-fddf-4d98-88a6-ca150dc4165d · outbound

This paper cites Time-frequency networks for audio super- resolution,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Time-frequency networks for audio super- resolution,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.711052Z

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=2026-08-10T19:27:35.294182Z digest=sha256:894fb46d491e3b5c5a6ebcf4b5e6db32c11378c116f9a61201035634850485b4

Observation 58e068f9-a004-44ff-a257-79873aab46c9 · outbound

This paper cites Speech audio super-resolution for speech recognition,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Speech audio super-resolution for speech recognition,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.699117Z

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=2026-08-10T19:27:35.297867Z digest=sha256:0111e02e9e0d3558ba4cd9efa8981496172745bafc644128534b763de3448793

Observation e46b4b9f-415a-4664-a9ce-2d6f3a021c78 · outbound

This paper cites Speaker and phoneme-aware speech bandwidth ex- tension with residual dual-path network,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Speaker and phoneme-aware speech bandwidth ex- tension with residual dual-path network,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.684585Z

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=2026-08-10T19:27:35.301188Z digest=sha256:8fea4e183a7f3afd861f84898dcfa13d7c3b3e89cf5d65e60c0059ad917a1fc0

Observation bc4ccd97-9eae-437e-b0ec-1774ce7dfeca · outbound

This paper cites Towards robust speech super- resolution,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Towards robust speech super- resolution,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.667501Z

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=2026-08-10T19:27:35.304700Z digest=sha256:d49554ea719762067fc7d09fe20b3f5c3aa441d084847ed7dc316d98c2174fa3

Observation e5bcca4f-d093-44b9-ba0b-660b62e04e4c · outbound

This paper cites NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.309153Z digest=sha256:821c00e59656699b270b9a64658e72f1a973fe525080d78f289e45006a37692d

Observation 9cd2db19-0a99-421f-a7fc-8ff0b0f527dc · outbound

This paper cites WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.312915Z digest=sha256:bae9f45c6d7ebe84d7e43c9d072234d095e035c91bdb1444fd29999701f9e45d

Observation fc0b52b2-a062-40e8-93b1-1fa37172bd93 · outbound

This paper cites NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.317049Z digest=sha256:da7f1cbb79972e027aa5406b181f41bbbe98b3d48472afc67e77d7fa92a6a09f

Observation e342141d-e632-4225-9fbb-2ef55e5d03ef · outbound

This paper cites Neu- ral vocoder is all you need for speech super-resolution,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Neu- ral vocoder is all you need for speech super-resolution,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.652039Z

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=2026-08-10T19:27:35.321167Z digest=sha256:81f3886e3c953a43e59a628a331bce677edd089e22081de6cd5c3d8c3445a4b2

Observation d3b33b93-c2b9-4f7c-8fc3-189e12dc9eb6 · outbound

This paper cites AudioSR: Versatile Audio Super-resolution at Scale.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution AudioSR: Versatile Audio Super-resolution at Scale

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.325429Z digest=sha256:70f1fd0e5fdf3456a6098cf32f6e6434b1cf6b89332348d654643c5493256774

Observation c2162230-c407-4829-abc8-f2259cebb3e2 · outbound

This paper cites MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.329980Z digest=sha256:18da700de87937ea35bb3923147fdbdb76931ab98c7e0b72f3a237a16085b18a

Observation 1cd59664-8011-4b3b-abdd-476fb2bea821 · outbound

This paper cites HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.334307Z digest=sha256:a189c83ee951b650a66bec5d90763841c2c7c2371e63db6225800ba9d8d4f370

Observation 7915faf3-cfbe-4c63-85d2-564881084d29 · outbound

This paper cites MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Reference 24

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no resolver link, observed 2026-08-10T19:27:35.338237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.338237Z digest=sha256:3bd430ee4f4c1d8e64b2f0eea6e27ac79be3f9aa6b051a18b1219b5ed996c0cb

Observation 46e5d25c-c395-4ca3-81c5-77e187215e08 · outbound

This paper cites MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:27:35.488238Z

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=2026-08-10T19:27:35.342470Z digest=sha256:a5507917e04b557e8098cc4a7b3c412b034b5127ffdc0e1352495b16832fd408

Observation a419540f-7fb6-4b75-8c5f-1b6086afdbd4 · outbound

This paper cites Deep-FSMN for Large Vocabulary Continuous Speech Recognition.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Deep-FSMN for Large Vocabulary Continuous Speech Recognition

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.346297Z digest=sha256:5485acb1e86b212003461d4130dbc8285f20ba08ae51b67e1c15866d03ecd922

Observation 68d6507c-c793-4dc5-93ff-46f1ca205a62 · outbound

This paper cites BigVGAN: A Universal Neural Vocoder with Large-Scale Training.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.350513Z digest=sha256:c54f765e2be6aef3ae6ff62a7622b1ffafe5aa8cc76ec53b9616ceb2894dfe8e

Observation 44bdd52b-ef46-4d0f-91e2-8f33775bd92d · outbound

This paper cites High Fidelity Neural Audio Compression.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution High Fidelity Neural Audio Compression

Reference 28

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no resolver link, observed 2026-08-10T19:27:35.354237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.354237Z digest=sha256:deaa0291c4182554e66e850f35cdfd8b3f1d7430a18fa6b0c0bc92e46df22cbc

Observation af746ae4-eecd-401a-8723-5f5a39208e55 · outbound

This paper cites High-Fidelity Audio Compression with Improved RVQGAN.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution High-Fidelity Audio Compression with Improved RVQGAN

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.358913Z digest=sha256:4a2757e9ee2fffe66e13436768409e2d4a927811ffd6a19f2874449e5f950166

Observation 4194de1d-8f93-40ce-8221-7218552ce846 · outbound

This paper cites Least squares generative adversarial networks,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Least squares generative adversarial networks,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.639488Z

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=2026-08-10T19:27:35.362788Z digest=sha256:643c603291da543ad040043725f9b419c93ccdd03362aee535a3f911a5043a34

Observation 09c0e47e-604a-4065-bba3-0f5c9b7dc130 · outbound

This paper cites CSTR VCTK corpus: English multi-speaker corpus for cstr voice cloning toolkit,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution CSTR VCTK corpus: English multi-speaker corpus for cstr voice cloning toolkit,

Reference 31

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raw_fallback, observed 2026-08-10T19:27:35.626793Z

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=2026-08-10T19:27:35.366283Z digest=sha256:da32cb5d44b4c2d2a1a31131a9bc522fba1084b53c9b754c26f8f0c4f8350a93

Observation cbbfc07c-f8c8-4409-aeea-5b45fd9e2ecd · outbound

This paper cites EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.369528Z digest=sha256:8f9644f80a09fd35ddfe6b2eef0d7419c387720a79a00f87ca902d0720122adf

Observation f1c3188b-a450-4871-be9e-d151da94c43c · outbound

This paper cites V ocalset: A singing voice dataset,.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution V ocalset: A singing voice dataset,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:35.613607Z

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=2026-08-10T19:27:35.373009Z digest=sha256:0885b80737f7f23c6ce5dd4a1407978ef9ea3bfe640a7264f674a152f76ee4e5

Observation e2dcb97b-20ab-4b5d-a845-77a489d14512 · outbound

This paper cites Decoupled Weight Decay Regularization.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution Decoupled Weight Decay Regularization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:35.376381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.376381Z digest=sha256:58d38ae89e7616d2675227902d5e86e21845cd958a0161f2f34f1d57be151fed

Pith citing papers

Observation f126c493-39a4-4aa4-893b-ef23f527b24c · inbound

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution cites this paper.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T19:27:35.601398Z

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=2026-08-10T19:27:35.245680Z digest=sha256:96eeaac56a56e03f1c0652badb2ef55d11cf4f2110b8139f94a4dd5a3055c5ca