Paper Citation Record · LEDGER

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2507.07867.

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

pith.paper-citation-record.v1
2507.07867 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:36:58.858729Z

measured 37 of 37 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:36:58.742461Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:36:58.942650Z

Reference resolution

36 of 36 outbound references displayed

verified exact2
verified fuzzy29
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f60161fc-82be-47c7-9e59-ba7a78464768 · outbound

This paper cites Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:36:58.946173Z

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.

Observation afa8dd69-0f40-4512-9b91-9b91b5588dca · outbound

This paper cites real” latents (those directly fromA E(x)and “fake.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders real” latents (those directly fromA E(x)and “fake

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.250288Z

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Observation 1f7746e6-bdf3-45af-bab0-c4e845b2665b · outbound

This paper cites an unresolved cited work.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:36:59.240421Z

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Observation 3d5667d4-ad34-4e5a-bd76-bb30eae87cfe · outbound

This paper cites modern day PCA.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders modern day PCA

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.231147Z

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Observation 9870e316-9c2f-419f-a2c0-c006e7910fb3 · outbound

This paper cites Our proposed Re-Bottleneck framework offers a flexible, post-hoc solution to this limitation.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Our proposed Re-Bottleneck framework offers a flexible, post-hoc solution to this limitation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.221385Z

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Observation ef998048-1cde-4592-b01f-13a04a4940ec · outbound

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

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Soundstream: An end- to-end neural audio codec,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.211581Z

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Observation 68a268dc-3fc8-41f2-8d53-e7ef715f9b4c · outbound

This paper cites High fidelity neural audio compression,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders High fidelity neural audio compression,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:58.765594Z

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Observation eb9057e3-6149-453f-a58e-83c125c8e982 · outbound

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

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders High-fidelity audio compression with improved rvqgan,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.194973Z

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Observation a7991d02-c938-4d1a-bf17-210d54545631 · outbound

This paper cites Stable audio open,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Stable audio open,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.185136Z

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Observation 2aab86eb-8214-4ec0-baaa-7a237e96152f · outbound

This paper cites MusicLM: Generating Music From Text.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders MusicLM: Generating Music From Text

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:58.775777Z

Source-reported events for the cited work

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Observation 759e469c-05a3-4a60-b023-6ad9dcf1dd28 · outbound

This paper cites Vampnet: Music generation via masked acoustic token mod- eling,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Vampnet: Music generation via masked acoustic token mod- eling,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.175310Z

Source-reported events for the cited work

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Observation d2c61d49-3b5f-438a-8cfb-d2fa7837a1c1 · outbound

This paper cites SoundStorm: Efficient Parallel Audio Generation.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders SoundStorm: Efficient Parallel Audio Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:58.782317Z

Source-reported events for the cited work

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Observation a4d63460-3330-450b-94f5-9f8edf57f0ff · outbound

This paper cites Time-domain heart sound classification using neural audio codecs,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Time-domain heart sound classification using neural audio codecs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.164290Z

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Observation 0401d865-6630-4a70-82f1-36f8e826fa1f · outbound

This paper cites Speech separation using neural audio codecs with embedding loss,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Speech separation using neural audio codecs with embedding loss,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.154432Z

Source-reported events for the cited work

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Observation 0b942c9e-c995-4015-9a71-08aca96c9e24 · outbound

This paper cites Coarse-to-fine text-to-music latent diffusion,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Coarse-to-fine text-to-music latent diffusion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.144297Z

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.

Observation 945560c9-c313-4cf9-9a8b-b220b72b83cf · outbound

This paper cites An independence-promoting loss for music generation with language models,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders An independence-promoting loss for music generation with language models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.134881Z

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.

Observation 379cbf38-596f-4b7f-8d97-7b8176fde6d0 · outbound

This paper cites Speechtokenizer: Unified speech tokenizer for speech language models,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Speechtokenizer: Unified speech tokenizer for speech language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.125976Z

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.

Observation 02ede10a-c116-4f75-8f90-aca340bae7fb · outbound

This paper cites Moshi: a speech-text foundation model for real- time dialogue,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Moshi: a speech-text foundation model for real- time dialogue,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.116358Z

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.

Observation a3993152-1e68-4c8f-b2ac-77afbd39aab0 · outbound

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

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Codec-superb: An in- depth analysis of sound codec models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.106915Z

Source-reported events for the cited work

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Observation aac4cf7a-1b1c-43c5-b806-ddc06f186f5c · outbound

This paper cites Reconstruction vs. generation: Taming optimization dilemma in latent diffu- sion models,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Reconstruction vs. generation: Taming optimization dilemma in latent diffu- sion models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.096869Z

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

Observation e4243303-6fbe-4d1a-8660-e3c96daa177d · outbound

This paper cites Masked autoencoders are effective tokenizers for diffu- sion models,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Masked autoencoders are effective tokenizers for diffu- sion models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.087205Z

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.

Observation f8bd0ce0-fb58-40c1-83a2-9ff032c6f57b · outbound

This paper cites Learning to Upsample and Upmix Audio in the Latent Domain.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Learning to Upsample and Upmix Audio in the Latent Domain

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:36:58.907785Z

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.

Observation a21cb547-522b-4e2c-ba51-50d05f892f4d · outbound

This paper cites Beats: Audio pre-training with acoustic tokeniz- ers,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Beats: Audio pre-training with acoustic tokeniz- ers,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.077947Z

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.

Observation b9fd80e0-f8ee-4048-943d-1668168524c6 · outbound

This paper cites Exploring the limits of transfer learning with a uni- fied text-to-text transformer,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Exploring the limits of transfer learning with a uni- fied text-to-text transformer,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.068281Z

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.

Observation 2f4bcdc9-e2c6-4130-a6fe-38e3ca4ad787 · outbound

This paper cites Learning ordered representations with nested dropout,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Learning ordered representations with nested dropout,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.058471Z

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.

Observation e67ccd6d-7d0e-4b40-a0d8-b9e0fb5d1ec2 · outbound

This paper cites EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 26

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Observation 9108f003-b1af-425e-b51c-e846d5327128 · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoen- coders,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Convnext v2: Co-designing and scaling convnets with masked autoen- coders,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.049172Z

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.

Observation 07029931-e6cf-4335-a9c8-b1173f04e23a · outbound

This paper cites The mtg-jamendo dataset for au- tomatic music tagging,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders The mtg-jamendo dataset for au- tomatic music tagging,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.038852Z

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

Observation cc362b45-f80b-4cbb-b451-b307ddf5da31 · outbound

This paper cites Fma: A dataset for music analysis,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Fma: A dataset for music analysis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.029091Z

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

Observation c7949f9b-b744-43cc-8c41-2d503c0b340c · outbound

This paper cites The song describer dataset: a corpus of audio captions for music-and- language evaluation,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders The song describer dataset: a corpus of audio captions for music-and- language evaluation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.019199Z

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.

Observation 963f3360-3698-454c-b714-174d9484ed10 · outbound

This paper cites Generation or replication: Auscultating audio latent diffusion models,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Generation or replication: Auscultating audio latent diffusion models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:59.009473Z

Source-reported events for the cited work

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Observation cd895108-b5cf-4895-a6d2-eab4e45f5d6e · outbound

This paper cites auraloss: Audio focused loss functions in pytorch,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders auraloss: Audio focused loss functions in pytorch,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:58.998789Z

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.

Observation 831b4b12-356b-4f03-8b0b-6716fdd91861 · outbound

This paper cites Adapting frechet audio distance for gener- ative music evaluation,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Adapting frechet audio distance for gener- ative music evaluation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:58.987611Z

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.

Observation 84fba41a-229d-4206-a723-66644baaae9c · outbound

This paper cites Similarity of neural network representations revisited,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Similarity of neural network representations revisited,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:58.977148Z

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.

Observation ef9746b0-f6fb-4853-a7ef-26a4721bb30b · outbound

This paper cites On kernel-target alignment,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders On kernel-target alignment,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:58.966688Z

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.

Observation db9ed99c-71ee-476e-8cf2-d0ad8803e6bf · outbound

This paper cites Insights on representational similarity in neural networks with canonical correlation,.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders Insights on representational similarity in neural networks with canonical correlation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:58.956284Z

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

Observation f60161fc-82be-47c7-9e59-ba7a78464768 · inbound