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Paper Citation Record · LEDGER

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources

As of 23 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.240602Z digest=sha256:bc3d36a95bf844ac5a7148939709f718758d5b4a3f6aef3f43d6138f7510ee03

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.

source=pdf_text observed=2026-08-16T10:37:33.249975Z digest=sha256:19c6d8ee3d743cb04d8a10cce57b3aca76fa5e026580dee721de7e6aa203d65a

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.

source=pdf_text observed=2026-08-16T10:37:33.262709Z digest=sha256:c70a15173f6c8ad33041df4e86a375a9e0ba9b617024b348221d2a9e73806e77

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.271221Z digest=sha256:495ebd5364efb933c9e0185f09b198921cd7545dce7d93b18d05ef1f26698c9d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.275075Z digest=sha256:1b19544e88c4295b461cfdae1e08c082b393ef29a217fabd6fb9a15bad5bcb84

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.

source=pdf_text observed=2026-08-16T10:37:33.290986Z digest=sha256:289c112982c61df0a6c71fe533d5f38e0ca731db5d0462277bf36273fb84b2a8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.294735Z digest=sha256:8ff48244998717151a96530da5126bdc1a5ef265e93d1d28e04f01cf482f6372

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.298648Z digest=sha256:503d283a8c4a782e6b61329167a3985d42c64eb8c46bafc289431680abc411c4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.287366Z digest=sha256:079ce46136799fdc8a2cdbf9b9810181e33553be2043b4f9d4f7f7c655cebefb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.244631Z digest=sha256:a9c0286395d821ef1f74ae5843c4e111d77020d3d491d12a95a65bbb2f744847

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.283515Z digest=sha256:46a058a1be2f79a5b2ce410b87ad042542a4b5e400f9f7fd9ed4c0811c855a99

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.

source=pdf_text observed=2026-08-16T10:37:33.230441Z digest=sha256:685ebdf92528b7ca11766df89d63cd8daf7cc83f2ece720ef206b180b965aede

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.226002Z digest=sha256:bba47e10f8f83bf1abcfbfbf31c89d6bfc7797067fb6bbc381cde5dc9a5566e2

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.267360Z digest=sha256:68a695a70cbb30fa8aa7454309c61feb240986324b27e04c3ff0d304775c6680

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.221732Z digest=sha256:e8dfb260a318b383f9320d86b864a632177e9b14d1910e6322b77fcbedf852ee

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.279573Z digest=sha256:a6ded8f6374505c6a7136ffbafc6cf8d5e40aadb62fc03d183709147c688ca4b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:37:33.235570Z digest=sha256:df8fde06b037efabb02b1bc54deb3fd0bfeab76c0aaefdbb896924f7fd07b9da

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.

source=pdf_text observed=2026-08-16T10:37:33.254290Z digest=sha256:2c6574dc18c92ef0630f423ae97bdd27fa1d0eb7969dfbd09d9e45104253fe9e

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.

source=pdf_text observed=2026-08-16T10:37:33.258357Z digest=sha256:dc297a991233aa8db8ccc028cc0f5c24541789a300f6946ee1f8ea25ac685b11

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.

source=pdf_text observed=2026-08-16T10:37:33.216985Z digest=sha256:4e20b33541d4333eec15406f3e5d47852289b65b9d17c960185a97736feba9c9

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.

source=pdf_text observed=2026-08-16T10:37:33.211895Z digest=sha256:73d6280bca2e04e94af61fbd0e60f9cef8e730bd8350ba2ad447df6b85acbd1d

Pith citing papers

No inbound Pith citation observations are available.