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Paper Citation Record · LEDGER

MambaRate: Speech Quality Assessment Across Different Sampling Rates

As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.12090.

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

pith.paper-citation-record.v1
2507.12090 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:58:19.667949Z

measured 27 of 27 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact3
  • verified fuzzy11
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d719bcae-cccf-4834-a819-b38b4dc9ed1d · outbound

This paper cites Mosnet: Deep learning-based objective assessment for voice conversion,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Mosnet: Deep learning-based objective assessment for voice conversion,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:17.338211Z digest=sha256:0f177fd6fee4c88409b5afda5a52b8903667b3bb055b714287c3b1c6969b1db6

Observation c7783d9e-c9f7-4278-9791-409780f29646 · outbound

This paper cites Deepmos- B: Deep posterior mean-opinion- score using beta distribution,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Deepmos- B: Deep posterior mean-opinion- score using beta distribution,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:17.504175Z digest=sha256:11765d2b90a89456dd3fafd8a91b90fcb81d0a9f27a4886608643c4e94a78c63

Observation 55fccd61-f5dd-4c97-9131-13f0e05324cd · outbound

This paper cites A review on subjective and objective evaluation of synthetic speech,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates A review on subjective and objective evaluation of synthetic speech,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:17.587708Z digest=sha256:9b244dbd3db8a594d2fe40211b45302d120d3507ff138b589e9bb33b289e9d04

Observation e014ea54-f3eb-4f3a-ba2f-2b47ab252e00 · outbound

This paper cites A comparison of deep learn- ing mos predictors for speech synthesis quality,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates A comparison of deep learn- ing mos predictors for speech synthesis quality,

Reference 5

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verified exact
raw_fallback, observed 2026-08-06T16:58:20.887393Z

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=2026-08-06T16:58:17.684386Z digest=sha256:e09d0d6c82bfd2e0f0e4fe95dfd8ed81787e7593588273eb49060ed3f7406b1d

Observation 66a72ed2-a767-4c26-aee4-dfbd984680f4 · outbound

This paper cites wav2vec 2.0: a frame- work for self-supervised learning of speech representations,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates wav2vec 2.0: a frame- work for self-supervised learning of speech representations,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:17.805211Z digest=sha256:885a7f9f4070e7d1470105625fdb18885fdce808c9c98b7f72ee1fec6dbe79de

Observation d9771e81-76b4-42fb-a9b9-b1d303c997f1 · outbound

This paper cites Hubert: Self-supervised speech representation learn- ing by masked prediction of hidden units,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Hubert: Self-supervised speech representation learn- ing by masked prediction of hidden units,

Reference 7

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no resolver link, observed 2026-08-06T16:58:17.945984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:17.945984Z digest=sha256:44d3bed8f56b619f42fa7e2bf6f16902794b592f0d92f641c366757950a7593a

Observation 10f4a332-eb6a-40c3-a9bb-6d5f7bd72cf1 · outbound

This paper cites Wavlm: Large-scale self-supervised pre- training for full stack speech processing,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Wavlm: Large-scale self-supervised pre- training for full stack speech processing,

Reference 8

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no resolver link, observed 2026-08-06T16:58:18.021393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:18.021393Z digest=sha256:44dc8674108370584c65865b72fd487f87c5a30eba9ca3908ddd76612ca09e95

Observation 37c5ce0c-eb24-4d00-8b36-ca72605994fc · outbound

This paper cites Mbnet: Mos prediction for synthesized speech with mean-bias network,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Mbnet: Mos prediction for synthesized speech with mean-bias network,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:18.091345Z digest=sha256:fb42d76f105ff205fe38c849547250477c88269e85ecf8f935855e3ae1681ca8

Observation 51951a35-1870-4208-9a3e-ca0d5bf8f403 · outbound

This paper cites Fusion of self-supervised learned models for mos prediction,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Fusion of self-supervised learned models for mos prediction,

Reference 10

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verified exact
doi, observed 2026-08-06T16:58:19.817031Z

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=2026-08-06T16:58:18.156733Z digest=sha256:f57a18ce15a6f87abf7b5c9dba3f3ec8389c091e116bb2e5280c711c94fd276b

Observation 7bbb3aeb-b77c-47fa-9a60-77e055ff12fa · outbound

This paper cites Salf-mos: Speaker agnostic latent features downsampled for mos prediction,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Salf-mos: Speaker agnostic latent features downsampled for mos prediction,

Reference 11

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verified exact
raw_fallback, observed 2026-08-06T16:58:20.420094Z

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=2026-08-06T16:58:18.230777Z digest=sha256:750caaed90c539c5f620ae81894d80a55d1bb6645adf9421afde50f0546df064

Observation a4cdaf3f-be9c-4e28-9431-b1c0faa742e8 · outbound

This paper cites The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction.

MambaRate: Speech Quality Assessment Across Different Sampling Rates The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:18.300286Z digest=sha256:982b4c5abf53d9bf4e01dc4470a3712ee87e24f745b406b4d2445dbf5820966c

Observation 504b6e80-7cf8-4c05-8aee-3983beec0b01 · outbound

This paper cites Generalization ability of mos prediction networks,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Generalization ability of mos prediction networks,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T16:58:22.681140Z

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.

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Observation 58266903-a1cb-4e20-bf3c-5e227e81f1da · outbound

This paper cites How do voices from past speech synthesis challenges compare today?.

MambaRate: Speech Quality Assessment Across Different Sampling Rates How do voices from past speech synthesis challenges compare today?

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T16:58:22.501904Z

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=2026-08-06T16:58:18.499771Z digest=sha256:1134d10e64f23ee81578d61115fda27cdc3fa76a72da2563fa28217986b9c5e2

Observation a2b0daa3-d993-45c0-b5d3-8351315498bf · outbound

This paper cites Transformers: State-of-the-art natural language processing,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Transformers: State-of-the-art natural language processing,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:18.565127Z digest=sha256:f902af784d70c1cc58b2970dde5146c9d61fd5735f21c8cec578def8a7604b4a

Observation 2015b4f6-47ea-4e8a-a543-b6827963ad3d · outbound

This paper cites Towards out-of-distribution detection in vocoder recognition via latent feature reconstruction,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Towards out-of-distribution detection in vocoder recognition via latent feature reconstruction,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T16:58:22.280577Z

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.

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Observation 700860a4-72a4-4b9a-b5d4-e8f6a08178a3 · outbound

This paper cites Mish: A self regularized non-monotonic activation function,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Mish: A self regularized non-monotonic activation function,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-06T16:58:22.097060Z

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.

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Observation 83608b6d-a800-4ca0-ba3e-3f420e59f2d5 · outbound

This paper cites Mamba4rec: Towards efficient sequential recommendation with selective state space models,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Mamba4rec: Towards efficient sequential recommendation with selective state space models,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-06T16:58:21.968942Z

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=2026-08-06T16:58:18.911118Z digest=sha256:98ab58c4f165fdaf10bcab73965254b4cfe52fef3e5e3783184499d98ffb8214

Observation d2dfaa9b-87d9-4b1b-9cc8-6dfcbf28cf64 · outbound

This paper cites Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:19.057660Z digest=sha256:aa33ef75fb597e223a4d2f52c95a167ca8bd5b69f6e1f74c7452c826dc6e010a

Observation a3c59b1c-600c-4813-a25c-6c8d441c3bbd · outbound

This paper cites Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:18.977050Z digest=sha256:cdb92c7590ee18311c4827f8d6769d4b930b8e26038d4fc3b8a4a960f3048494

Observation c944031c-9a7a-4db9-b2bb-a572a336907d · outbound

This paper cites Predicting locations of cryptic pockets from single protein structures using the pocketminer graph neural network,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Predicting locations of cryptic pockets from single protein structures using the pocketminer graph neural network,

Reference 21

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raw_fallback, observed 2026-08-06T16:58:21.858037Z

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=2026-08-06T16:58:19.225162Z digest=sha256:fc70a57d26ac8ab88b3fd0f43a8863d3d473f638f343a6a0630e606fa85dd965

Observation e46a16e1-977e-4f6d-a35f-90883a6617d5 · outbound

This paper cites Decoupled Weight Decay Regularization.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Decoupled Weight Decay Regularization

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 3345d2e1-5804-4fa7-bc19-f41a30949100 · outbound

This paper cites Cnn architectures for large-scale audio classification,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Cnn architectures for large-scale audio classification,

Reference 23

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raw_fallback, observed 2026-08-06T16:58:21.613866Z

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=2026-08-06T16:58:19.367182Z digest=sha256:bf898103d11a2b41ae94caf01d0d26995ccf017e225caf8ee9c41b89bb750c68

Observation 418f3013-1172-4d8d-b058-ac625f7e1850 · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Robust speech recognition via large-scale weak supervi- sion,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T16:58:21.731099Z

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.

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Observation dc051c90-8383-445d-9161-ca938d164ccf · outbound

This paper cites Somos: The Samsung open mos dataset for the evaluation of neural text-to-speech synthesis,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Somos: The Samsung open mos dataset for the evaluation of neural text-to-speech synthesis,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T16:58:21.323443Z

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=2026-08-06T16:58:19.568995Z digest=sha256:44f7c63c7e351b028d033f61499189e661c0cf59e7af32699915ae7f542f6b46

Observation ae07d17e-2381-4571-b933-c7f890aeb1f8 · outbound

This paper cites TensorFlow Model Garden,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates TensorFlow Model Garden,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T16:58:21.458910Z

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=2026-08-06T16:58:19.501380Z digest=sha256:361b90568408fb028db609711ffc4a1b5c1e57745825c1729f784930b6d48e7f

Observation 481704f1-3b08-4285-926f-cb2cc3380b38 · outbound

This paper cites The voice conversion challenge 2018: Promoting development of parallel and nonparallel methods,.

MambaRate: Speech Quality Assessment Across Different Sampling Rates The voice conversion challenge 2018: Promoting development of parallel and nonparallel methods,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T16:58:21.154744Z

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=2026-08-06T16:58:19.667949Z digest=sha256:67b5794c192dd3faa0e87caa368c8b8d9b64e39c49931082aafb19498e27b51b

Observation 096a506e-d9ef-4df2-934a-4978f7da6689 · outbound

This paper cites Towards Out-of-Distribution Detection in Vocoder Recognition via Latent Feature Reconstruction.

MambaRate: Speech Quality Assessment Across Different Sampling Rates Towards Out-of-Distribution Detection in Vocoder Recognition via Latent Feature Reconstruction

Reference 2024

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metadata mismatch
local_arxiv, observed 2026-08-06T16:58:20.061534Z

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=2026-08-06T16:58:18.756293Z digest=sha256:8eec79039e879bf2960ec54041d48706ec8848d7259af51eddf6212d269d696b

Pith citing papers

No inbound Pith citation observations are available.