Paper Citation Record · LEDGER

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2504.17782.

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

pith.paper-citation-record.v1
2504.17782 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:37:33.298648Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

21 of 21 outbound references displayed

verified exact2
verified fuzzy8
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c57a635-0cdd-4f21-82de-0ac014b45f21 · outbound

This paper cites an unresolved cited work.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:37:33.674253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19bcee5e-51d9-4fcb-8478-4981f1324dbc · outbound

This paper cites Separate What You Describe: Language-Queried Audio Source Separation.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Separate What You Describe: Language-Queried Audio Source Separation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:33.249975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0afdd79-8f81-408e-8605-e75071085ebf · outbound

This paper cites Building Corpora for Single-Channel Speech Separation Across Multiple Domains.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Building Corpora for Single-Channel Speech Separation Across Multiple Domains

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:33.262709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d82a8ce5-c969-42ca-953f-5ccc902d844a · outbound

This paper cites Source separation by steering pretrained music models.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Source separation by steering pretrained music models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:37:33.633092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 721da4b0-e78e-435c-8bc9-f8187c1bacb6 · outbound

This paper cites Listen to What You Want: Neural Network-based Universal Sound Selector.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Listen to What You Want: Neural Network-based Universal Sound Selector

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:37:33.481812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d743edc-ee84-4c53-995d-40af518cdd2c · outbound

This paper cites and Chen, J.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources and Chen, J

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:33.290986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74732d99-bbdc-45ae-ae26-39245f98760c · outbound

This paper cites Tf-gridnet: Making time-frequency domain models great again for monaural speaker separation.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Tf-gridnet: Making time-frequency domain models great again for monaural speaker separation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:37:33.594207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d19eb1a-60e1-4016-bbec-0bf2991b5a42 · outbound

This paper cites Permutation invariant training of deep models for speaker-independent multi-talker speech separation.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Permutation invariant training of deep models for speaker-independent multi-talker speech separation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:37:33.581180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13078829-7d21-44d6-b8a0-1d5beb1ec9ef · outbound

This paper cites Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs

Reference 2000

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:37:33.607255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15a44d4a-e87f-4bd9-a2b4-4c221a67e03b · outbound

This paper cites an unresolved cited work.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Unresolved cited work

Reference 2006

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:37:33.661896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46044005-4cc2-44b4-904f-160eed03096a · outbound

This paper cites Gass: General- izing audio source separation with large-scale data.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Gass: General- izing audio source separation with large-scale data

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:37:33.620467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 168b09dd-a74c-4294-bbd4-70cd0806a9a1 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources LoRA: Low-Rank Adaptation of Large Language Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:33.230441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e32749d2-113f-4e3c-9179-6de34341aef9 · outbound

This paper cites R., Chen, Z., Le Roux, J., and Watanabe, S.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources R., Chen, Z., Le Roux, J., and Watanabe, S

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:37:33.702065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d01d1dc7-6001-4ecd-a4fa-e4f2356bfd95 · outbound

This paper cites Cutting music source separation some slakh: A dataset to study the impact of training data quality and quantity.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Cutting music source separation some slakh: A dataset to study the impact of training data quality and quantity

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:37:33.648143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c60ce611-2454-4d6f-86ab-9fc37f0dd17a · outbound

This paper cites F., Ellis, D.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources F., Ellis, D

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:37:33.714754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4debff2-5502-48ba-836a-34d16992520c · outbound

This paper cites RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:37:33.463152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9a42636-cf31-4a3c-a304-54903dfa405c · outbound

This paper cites an unresolved cited work.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:37:33.688161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cab5566a-be12-42c0-aea6-03406f441159 · outbound

This paper cites Separate Anything You Describe.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Separate Anything You Describe

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:33.254290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c10c899e-058d-476b-9cf1-db33497f3aa0 · outbound

This paper cites CLAPSep: Leveraging Contrastive Pre-trained Model for Multi-Modal Query-Conditioned Target Sound Extraction.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources CLAPSep: Leveraging Contrastive Pre-trained Model for Multi-Modal Query-Conditioned Target Sound Extraction

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:33.258357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10fb6ab5-718a-47c3-9028-61b78364f1d8 · outbound

This paper cites Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:33.216985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2075f1fd-9b11-4bf6-aada-b86895c6073b · outbound

This paper cites OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup.

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:33.211895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.