Paper Citation Record · LEDGER

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.12701.

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

pith.paper-citation-record.v1
2507.12701 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:47:34.547644Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

40 of 40 outbound references displayed

verified exact0
verified fuzzy26
unresolved14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e05d1be0-f57d-4a1c-a314-e71762ec6225 · outbound

This paper cites Coding of moving pictures and associated audio for digital storage media at up to about 1.5 Mbit/s,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Coding of moving pictures and associated audio for digital storage media at up to about 1.5 Mbit/s,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.709633Z

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Observation c57fff88-fe11-4378-ab9f-1d934bd27c80 · outbound

This paper cites Perceptual coding of digital audio,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Perceptual coding of digital audio,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.685195Z

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Observation 6ef6c5b8-1d40-42db-87e7-fe6a8095beab · outbound

This paper cites Information technology — Generic coding of moving pictures and associated audio information — Part 7: Advanced Audio Coding (AAC),.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Information technology — Generic coding of moving pictures and associated audio information — Part 7: Advanced Audio Coding (AAC),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.664427Z

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Observation 7f22afc4-49f3-45a9-b4f1-bf5701bd6753 · outbound

This paper cites an unresolved cited work.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:47:35.647701Z

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Observation 1159c6d4-77ed-4a5b-9a52-03da087611ef · outbound

This paper cites Transport of unified speech and audio coding (USAC),.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Transport of unified speech and audio coding (USAC),

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.632890Z

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Observation c6418288-cb28-4892-9901-8d686fc1ac84 · outbound

This paper cites Wideband coding of speech at around 16 kbit/s using Adaptive Multi-Rate Wideband (AMR-WB),.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Wideband coding of speech at around 16 kbit/s using Adaptive Multi-Rate Wideband (AMR-WB),

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.617702Z

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Observation 7f6a9b25-7d7f-4d33-a966-316e8f9af772 · outbound

This paper cites Soundstream: An end-to-end neural audio codec,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Soundstream: An end-to-end neural audio codec,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.594997Z

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Observation 510b628d-434c-410a-b9f7-c4c717881847 · outbound

This paper cites High- fidelity audio compression with improved RVQGAN,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine High- fidelity audio compression with improved RVQGAN,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.579123Z

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Observation 0eb1a529-ce78-43e6-8d2f-f00b100db5a4 · outbound

This paper cites High fidelity neural audio compression,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine High fidelity neural audio compression,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.564050Z

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Observation f8a58082-9d87-49a1-88f6-feca5b91fb02 · outbound

This paper cites On generative spoken language modeling from raw audio,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine On generative spoken language modeling from raw audio,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.548035Z

Source-reported events for the cited work

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Observation 1020d1a2-ec69-4a76-8428-208b2c7a54f9 · outbound

This paper cites Recent Advances in Speech Language Models: A Survey.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Recent Advances in Speech Language Models: A Survey

Reference 12

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Source-reported events for the cited work

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Observation 8f4ed98d-0a48-4640-9c92-26b69045f1cb · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:34.327894Z

Source-reported events for the cited work

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Observation 043fba0e-52af-41da-b7cc-98f402ff4421 · outbound

This paper cites BEATs: Audio Pre-Training with Acoustic Tokenizers.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine BEATs: Audio Pre-Training with Acoustic Tokenizers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:34.333552Z

Source-reported events for the cited work

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Observation 4e34957c-1ceb-4d70-b4c9-16f019091cb8 · outbound

This paper cites Genhancer: High-fidelity speech enhancement via generative modeling on discrete codec tokens,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Genhancer: High-fidelity speech enhancement via generative modeling on discrete codec tokens,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.527111Z

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Observation 6ea1f007-59cb-4cd6-896b-6d3b6259e43e · outbound

This paper cites DASB - discrete audio and speech benchmark,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine DASB - discrete audio and speech benchmark,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.501155Z

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Observation c7ab352b-78ba-48df-bd07-39ad6491af26 · outbound

This paper cites Codec-SUPERB: An in-depth analysis of sound codec models,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Codec-SUPERB: An in-depth analysis of sound codec models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.480555Z

Source-reported events for the cited work

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Observation a11635cd-9e6c-4118-bbd9-3ab0ce5900ec · outbound

This paper cites Psychoacoustic calibration of loss functions for efficient end-to-end neural audio coding,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Psychoacoustic calibration of loss functions for efficient end-to-end neural audio coding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.463353Z

Source-reported events for the cited work

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Observation b665b452-329f-400e-80c4-8725c3fdb52e · outbound

This paper cites Use Cases and Requirements on Audio Coding for Machines,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Use Cases and Requirements on Audio Coding for Machines,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.447378Z

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Observation 8fdddbbe-5f6a-4b1e-9352-8e0b1a191095 · outbound

This paper cites Wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.427853Z

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Observation 81511d27-0e1c-4929-941d-9431cf8627a8 · outbound

This paper cites WavLM: Large-Scale Self-Supervised Pre- Training for Full Stack Speech Processing,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine WavLM: Large-Scale Self-Supervised Pre- Training for Full Stack Speech Processing,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.398831Z

Source-reported events for the cited work

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Observation 85b9efd9-cc6b-41f0-b4b2-1c5a834d7b4c · outbound

This paper cites HuBERT: Self-Supervised Speech Representation Learn- ing by Masked Prediction of Hidden Units,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine HuBERT: Self-Supervised Speech Representation Learn- ing by Masked Prediction of Hidden Units,

Reference 22

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Observation 1d009556-cb30-448a-874c-b356a720a89d · outbound

This paper cites On The Landscape of Spoken Language Models: A Comprehensive Survey.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine On The Landscape of Spoken Language Models: A Comprehensive Survey

Reference 23

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Observation cd07aad6-6f2d-4474-86e0-6e737ebc5f75 · outbound

This paper cites Towards audio language modeling -- an overview.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Towards audio language modeling -- an overview

Reference 24

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Observation 75dac727-9f6e-494d-bb76-e45bfc695a1d · outbound

This paper cites Espnet-codec: Comprehensive training and evaluation of neural codecs for audio, music, and speech,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Espnet-codec: Comprehensive training and evaluation of neural codecs for audio, music, and speech,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.359143Z

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Observation 4657b274-b7aa-448d-a999-6e5d63708f00 · outbound

This paper cites Recent advances in discrete speech tokens: A review,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Recent advances in discrete speech tokens: A review,

Reference 26

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Observation cf72a923-a0b3-4a98-9304-994cf0b10da3 · outbound

This paper cites CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

Reference 27

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Observation c1ef2cfe-5b93-4277-bd28-1ed48173e823 · outbound

This paper cites Soft-to-hard vector quantization for end- to-end learning compressible representations,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Soft-to-hard vector quantization for end- to-end learning compressible representations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.340504Z

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Observation 72e08b84-24df-4c1c-8c9d-fa09d208c4c9 · outbound

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

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine High-Fidelity Audio Compression with Improved RVQGAN

Reference 29

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Observation c31d9f80-9e71-4757-9be5-2e0e7f74bf09 · outbound

This paper cites Open-Source Conversational AI with SpeechBrain 1.0,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Open-Source Conversational AI with SpeechBrain 1.0,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.323980Z

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Observation 838bf84b-ba99-4906-ad4c-64ad2fea8aaa · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.308340Z

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Observation a687cba7-7102-444b-9465-3df1d94b3b99 · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.288120Z

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Observation deb6a0f7-6850-4e71-8426-9851b84598c5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Adam: A Method for Stochastic Optimization

Reference 33

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This paper cites Neural discrete representation learning,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Neural discrete representation learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.271598Z

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Observation 86daef6c-ebb6-4f87-bf39-5e8a3b91619b · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:34.504325Z

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Observation fc5e078c-aa78-487d-9439-bad35fb30ec4 · outbound

This paper cites Margin matters: Towards more discriminative deep neural network embeddings for speaker recognition,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Margin matters: Towards more discriminative deep neural network embeddings for speaker recognition,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.247324Z

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Observation 50eab455-7d61-4804-a6d5-03131e0ddebb · outbound

This paper cites Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:34.518459Z

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Observation 9272234c-50ba-4d72-8c31-116f2b91e964 · outbound

This paper cites Epistimio/orion: Asynchronous Distributed Hyperparameter Optimization,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Epistimio/orion: Asynchronous Distributed Hyperparameter Optimization,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:34.524437Z

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Observation 400aa906-b170-4a38-9fc8-0a9f90aa1525 · outbound

This paper cites Librispeech: An ASR corpus based on public domain audio books,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine Librispeech: An ASR corpus based on public domain audio books,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.226449Z

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Observation 66ded77e-b425-4be8-991e-7bfe7f3c03b5 · outbound

This paper cites A Dataset and Taxonomy for Urban Sound Research,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine A Dataset and Taxonomy for Urban Sound Research,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:34.539614Z

Source-reported events for the cited work

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Observation 043f7027-c9c0-4c7e-86d3-df74a0518779 · outbound

This paper cites On the information rate of speech communication,.

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine On the information rate of speech communication,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:35.204457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

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