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Paper Citation Record · LEDGER

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2506.16741.

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

pith.paper-citation-record.v1
2506.16741 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:25:16.279017Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:25:16.068793Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T19:25:16.387711Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy29
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d486dca4-9f50-4712-bf1b-a0190ff8d43e · outbound

This paper cites Among the various generative modeling approaches [4, 5, 6, 7, 8], ordinary differential equations (ODE)-based models [9, 10] have become strong solutions for outstanding TTS.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Among the various generative modeling approaches [4, 5, 6, 7, 8], ordinary differential equations (ODE)-based models [9, 10] have become strong solutions for outstanding TTS

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.062517Z digest=sha256:6b2d05408d92ca551e0f9dc2fb9e75e28470473be361ac813d166be5c106ac13

Observation 593623f1-8f2d-45a8-9830-3a5197ff8f60 · outbound

This paper cites RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching

Reference 2

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verified exact
local_arxiv, observed 2026-08-15T19:25:16.396542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.068793Z digest=sha256:eae3b714251b28ce22d959f18c1396a0d8615c91c7e4b7063672d1c9f8d6791d

Observation bbbd0fab-5983-46f1-a9c2-b96c6a62a09d · outbound

This paper cites TTS with Consistency Flow Matching For RapFlow-TTS, we follow the network design of Matcha- TTS [19] thanks to its fast and lightweight properties.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching TTS with Consistency Flow Matching For RapFlow-TTS, we follow the network design of Matcha- TTS [19] thanks to its fast and lightweight properties

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:17.017889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.074634Z digest=sha256:13fd46bb3f3e2e919d4780095de8a88ef2c4adfea158802020bc796f9f1a3283

Observation a6a2586e-301c-4469-b7b8-1a3b338d7ba9 · outbound

This paper cites Experiment Setup DatasetTo verify RapFlow-TTS, we conducted experiments on the LJSpeech [27] and VCTK [28] datasets.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Experiment Setup DatasetTo verify RapFlow-TTS, we conducted experiments on the LJSpeech [27] and VCTK [28] datasets

Reference 4

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raw_fallback, observed 2026-08-15T19:25:16.980174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.085787Z digest=sha256:f7af0d473dd12a50f4cb7f62a4eb83d26a9239290d5c9b5e19aa2243b1199bcd

Observation 54ffff0d-83be-46a3-9d38-8122c22ab6b8 · outbound

This paper cites Based on consistency FM, RapFlow-TTS constructs a consistency model on a straight flow.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Based on consistency FM, RapFlow-TTS constructs a consistency model on a straight flow

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.961714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.093593Z digest=sha256:e5410f9e38fa68f613cd4ac158c1682c7f384c5a18ad7c6362a71693c468ec1b

Observation 699c773b-6398-48a2-b671-659511f9795e · outbound

This paper cites Leaders in INdustry-university Co- operation 3.0.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Leaders in INdustry-university Co- operation 3.0

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.943498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.098991Z digest=sha256:36db71e36f37b5ad67d23d9619b67b5489f6cdc8a1bb3c768e6cb1ba0f82c2e3

Observation e9f6cfeb-ca7a-407a-b807-014de2a682b0 · outbound

This paper cites FastSpeech 2: Fast and high-quality end-to-end text to speech,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching FastSpeech 2: Fast and high-quality end-to-end text to speech,

Reference 7

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raw_fallback, observed 2026-08-15T19:25:16.810568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.140464Z digest=sha256:a5120c22add97e525b74bf2c037f35ec8716d378d293a12ba0d9c5652eccce6f

Observation fd254422-2441-4962-a843-9cccfb1dbe1a · outbound

This paper cites Tacotron: Towards end-to-end speech synthesis,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Tacotron: Towards end-to-end speech synthesis,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.925240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.105261Z digest=sha256:72a13179b6686ec0c79de9ba0de1edbcac3178cfb4c5d4e95857dc721efe1f58

Observation dba2e49d-52c7-4582-a796-774698b8f6dd · outbound

This paper cites Natural TTS synthesis by conditioning Wavenet on mel spectrogram predic- tions,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Natural TTS synthesis by conditioning Wavenet on mel spectrogram predic- tions,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.906778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.110727Z digest=sha256:88619a10c0b573071a534d08e180bf8a65f2b609eec6b1804089316023814286

Observation bdebd58b-c17c-4eff-a7a1-f86753d04681 · outbound

This paper cites Glow-TTS: A generative flow for text-to-speech via monotonic alignment search,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Glow-TTS: A generative flow for text-to-speech via monotonic alignment search,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.888252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.117180Z digest=sha256:a5edb45e6f8bf2e5fdb0d687047a76a4bae03ae3ad0518499f6e57054b1af282

Observation 5c742b8d-76ff-4509-8b1a-83c8c04dbd45 · outbound

This paper cites FastSpeech: Fast, robust and controllable text to speech,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching FastSpeech: Fast, robust and controllable text to speech,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.870196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.122742Z digest=sha256:ba808128415c64843f4153d60976da4a52e30f38e11bbcd6d14a016ba318ce25

Observation 976da085-10a7-488a-9c25-caed4939adf1 · outbound

This paper cites Flow- TTS: A non-autoregressive network for text to speech based on flow,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Flow- TTS: A non-autoregressive network for text to speech based on flow,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.851868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.128819Z digest=sha256:45132392d66a7631d7062e15152b5926d55ee60274ffc4dba9668efaa2e75c38

Observation 8fce1e51-50ad-4fca-8de1-df64af0459d5 · outbound

This paper cites Neural speech synthesis with Transformer network,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Neural speech synthesis with Transformer network,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.831788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.134796Z digest=sha256:df023a06ba417f9b8957e6a60eb0218769ee7188c3fc2c6db2335cd5e4b904c0

Observation c327802d-6057-4342-be04-de7691a9ce0d · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Improving and generalizing flow-based generative models with minibatch optimal transport,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.700215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.177931Z digest=sha256:42db69d45120d80be631bcd45eaf5cd56bce7fbf74a94b4ab9a73a9e1fd657eb

Observation 995baa21-53ca-4407-a627-60b6a2ece62d · outbound

This paper cites Diff-TTS: A denoising diffusion model for text-to-speech,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Diff-TTS: A denoising diffusion model for text-to-speech,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.791971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.145662Z digest=sha256:684a0cbd13dc986e69d22a03fcd8b0131510f1aa0ab988e7fc4a994a16b3a9f1

Observation 8043b4b9-7e9f-498a-8694-7f429320dc4f · outbound

This paper cites Grad-TTS: A diffusion probabilistic model for text-to-speech,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Grad-TTS: A diffusion probabilistic model for text-to-speech,

Reference 16

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raw_fallback, observed 2026-08-15T19:25:16.772623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.150846Z digest=sha256:16ebc49fbd1a32418125b0b732cd08a991fb83bd760def722e5cf078338d7f24

Observation 722e685c-fa66-4cb8-ad44-b8e8ee5cb6ef · outbound

This paper cites DEX-TTS: Diffusion-based EXpressive Text-to-Speech with Style Modeling on Time Variability.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching DEX-TTS: Diffusion-based EXpressive Text-to-Speech with Style Modeling on Time Variability

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:25:16.156489Z digest=sha256:dd2791818b0401ccc3db17093f96fef63817d6986215e1eb68e07b709caba613

Observation df7a04e7-53d9-4c99-907f-0577da2c9060 · outbound

This paper cites Score-based generative modeling through stochas- tic differential equations,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Score-based generative modeling through stochas- tic differential equations,

Reference 18

Resolution
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raw_fallback, observed 2026-08-15T19:25:16.753786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.162101Z digest=sha256:f74527a12f66e0765a648ef49f807bd32d528239ba7e5b7702b693016d675a2e

Observation dc2fcb33-5854-4539-aa37-9a4f4fbf7a73 · outbound

This paper cites Elucidating the design space of diffusion-based generative models,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Elucidating the design space of diffusion-based generative models,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.731702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.167228Z digest=sha256:039c8d5cc187203f926b8008a2c947e30796ccbdeadb2696fd2643c3da8eaa68

Observation 6493510d-ab7a-4cd9-95ed-9a97eb2ad3f7 · outbound

This paper cites Flow matching for generative modeling,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Flow matching for generative modeling,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T19:25:16.172938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:25:16.172938Z digest=sha256:7afb06d3aa55e447efdb96e4af5daf7b7d9b972b1e21bfa6b2da98255a026eb8

Observation d55919d4-6992-4653-bb69-c5a22e9ac050 · outbound

This paper cites Improved techniques for training con- sistency models,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Improved techniques for training con- sistency models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.582991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.217422Z digest=sha256:0022fdb5b9f96625d15e41b0ea3e9deac670f102282ae65f431fd12303e40a4f

Observation 48a809d2-8332-4c7a-ac3b-96f76c0fe25e · outbound

This paper cites V oiceflow: Efficient text-to-speech with rectified flow matching,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching V oiceflow: Efficient text-to-speech with rectified flow matching,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.680974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.183380Z digest=sha256:b05585216e5cf9f0bdf1a78ce0636970c67b226587d96dfbeff06221819fe9a7

Observation 2d9554aa-0bae-47ec-865e-9a4c012ab9ed · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Flow straight and fast: Learning to generate and transfer data with rectified flow,

Reference 23

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raw_fallback, observed 2026-08-15T19:25:16.661995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 90a24090-99ed-4bcb-9c0c-e56c0a37c4d5 · outbound

This paper cites Consistency models,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Consistency models,

Reference 24

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raw_fallback, observed 2026-08-15T19:25:16.641652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 52f71ff1-a622-4153-808f-dfb53bcdc30b · outbound

This paper cites Furthermore, we extend it to multi-segment adversarial learning for consistency FM.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Furthermore, we extend it to multi-segment adversarial learning for consistency FM

Reference 25

Resolution
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raw_fallback, observed 2026-08-15T19:25:16.999691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.080395Z digest=sha256:c5f39e4fd4a922dc02a95ab0aaaabf53cf926fb29ae31191f496f21e4c8de410

Observation c7338edb-b412-462b-a429-de0675e1cfbd · outbound

This paper cites Como- speech: One-step speech and singing voice synthesis via consis- tency model,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Como- speech: One-step speech and singing voice synthesis via consis- tency model,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.621207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.200560Z digest=sha256:cbd84b9a8d115b060e50fac665e4e2b5590ac99e27c388665b6926c2b3a8f8cf

Observation d4c043a6-fc1a-4a6f-8202-85cb851d8380 · outbound

This paper cites Matcha-TTS: A fast tts architecture with conditional flow match- ing,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Matcha-TTS: A fast tts architecture with conditional flow match- ing,

Reference 27

Resolution
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raw_fallback, observed 2026-08-15T19:25:16.603200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.205514Z digest=sha256:336ab6ec452e10204dbc09980a1abc525b86266697c1dbd663c8557abc0d69ff

Observation 4b72fbb8-b8b1-4434-8e08-59d92c5ee09a · outbound

This paper cites Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Reference 28

Resolution
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no resolver link, observed 2026-08-15T19:25:16.211733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:25:16.211733Z digest=sha256:8e64bb9e4db9bee0dd26b1a93d5f90ba90ffd573fe40050a4b6774f0fb1313e6

Observation dded721e-13a0-4211-8532-5b0da25b273f · outbound

This paper cites Simple reflow: Improved techniques for fast flow models,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Simple reflow: Improved techniques for fast flow models,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.563970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.223150Z digest=sha256:d5090362883cc5d8517c23ea816bd9b5bd36b9f77f5061eeff2fa12050c9477e

Observation ff5926ac-a597-41d3-ba65-b22b2c65dc7d · outbound

This paper cites Improving the training of rectified flows,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Improving the training of rectified flows,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.542975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.229560Z digest=sha256:dff4c10733c6818f8ed264a64ee33e88751c58ac92fe4efb68e5e860532fd21d

Observation afab52f4-7fc4-422b-a7c3-65382f413b3b · outbound

This paper cites Least squares generative adversarial networks,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Least squares generative adversarial networks,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T19:25:16.236398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:25:16.236398Z digest=sha256:b21c343eed65dbcb6fa25f1677e6cefc20a01a6302cfb6a28c06c75da343300f

Observation b0001c02-e9ca-4699-bf99-c6797bf7966d · outbound

This paper cites Improved techniques for training gans,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Improved techniques for training gans,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.505899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cedd6373-444c-41af-8de8-ad01e718ea8f · outbound

This paper cites StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T19:25:16.247483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24b5e92a-d8b7-4661-894d-0cb830e57735 · outbound

This paper cites The LJ speech dataset,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching The LJ speech dataset,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T19:25:16.253448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1446dc55-bcff-4332-b445-310469b509c2 · outbound

This paper cites CSTR VCTK cor- pus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching CSTR VCTK cor- pus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.472218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.261638Z digest=sha256:e5014329ac03e26d43a495a36bdbe1b30d2cba7a53a3f418576d3d93ba880fb7

Observation 0d8a774b-870b-49f6-b8e8-4a337ee34cee · outbound

This paper cites HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T19:25:16.266581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:25:16.266581Z digest=sha256:2928c508432926ec5c598c422127926781d858133c9e10413f635a2fb848f3c2

Observation 65982994-dec7-4045-ae05-19de6d5b7fe8 · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Robust speech recognition via large-scale weak su- pervision,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T19:25:16.272210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:25:16.272210Z digest=sha256:f39448339934682212ac923c79010531b35bf2e89b420e78c6ef4dd081e808db

Observation 63db88d6-b89b-48be-97ef-6259e7294ae7 · outbound

This paper cites NISQA: A deep CNN-self-attention model for multidimensional speech quality prediction with crowdsourced datasets,.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching NISQA: A deep CNN-self-attention model for multidimensional speech quality prediction with crowdsourced datasets,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:25:16.417869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.279017Z digest=sha256:bd4d8cadc08fad8d65e3c89c0a009c1f615aee1774b6a7fea4f88dfd4b82eda5

Pith citing papers

Observation 593623f1-8f2d-45a8-9830-3a5197ff8f60 · inbound

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching cites this paper.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-15T19:25:16.396542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:25:16.068793Z digest=sha256:eae3b714251b28ce22d959f18c1396a0d8615c91c7e4b7063672d1c9f8d6791d