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Paper Citation Record · LEDGER

MambaRate: Speech Quality Assessment Across Different Sampling Rates

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:0c6aaf3a6323a64164e74605dc44b45b1d39b22b45a605cc0b1f25a9a24f5dca

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=sha256:53eb555e75d2c5ee388576ef84eedaa813d4492b7d9326c31a5e2a2c472f21cc

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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no resolver link, observed 2026-08-06T16:58:17.587708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:17.587708Z digest=sha256:9b77d4b4bb515b2889ceb58dc59aba3fee96cf5c4a8fd661e738c23946527496

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:17.684386Z digest=sha256:2ff16e7d8fdf6ae5f67e2d48d5cfd58dcf223287b4472f1c3df22624661d5174

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=sha256:1f0bb6bdad240193d6c7e23687c5bb7d2379f1d7b24594e1d037d3cfad22a312

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:f037dd9810ad3148812471067d364a2caf97f8a0766ecafd4c1f034cf0c5a3d0

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=sha256:3b5a8b029ab68bb32effbbbfe2910063ca0ea9a7f14e3f54ca111c09820ea3db

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:18.091345Z digest=sha256:a5f0979360814b07f5a959f5968f927689e74c0338d673b3e0690804667d7e35

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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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=sha256:5c2a2f6ffce231770ab5f12ab4247ff9b18c6cf2ee8fd0acb448a17f94201587

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:18.401552Z digest=sha256:2d5afe22b6021255f47a0a8877ae637f8efed6c9fbe2e106c9a851d110292683

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:18.499771Z digest=sha256:ee6f0847a67abb621a6fed3ff22656502babadd757688c2460c13e7c309b2ba5

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.

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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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.

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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.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:19.225162Z digest=sha256:eca873bf06de19cce6d497a2829b47de40d3bb6f4a27b02450db244f06c2a16c

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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Source-reported events for the cited work

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:19.285947Z digest=sha256:1d8c9963a09013e41d16354ae03c408421db577fa7e88892f94e7b3d3ffb1874

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:19.568995Z digest=sha256:fde56e00626a907dd46130498f9be0e55039f5a8b4e05123b5ecb2600001e3cf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:19.501380Z digest=sha256:3a5787c07f847aa725c047d21fa0193bcfc5ac920e6ba8ceef3855a673c25f04

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:19.667949Z digest=sha256:06ff374c35a23cd9a21f59b0ffd9d7e4ca9025bcdae1d6e7e51505aa65b7d89e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:58:18.756293Z digest=sha256:f6f939cfb15aba18ee1ffe7387f3b7585967203b569438d9163a3918a2f77167

Pith citing papers

No inbound Pith citation observations are available.