Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2007.13975.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:46:07.493057Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T15:44:14.762467Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4f1e8e8d-6499-4d75-af75-dfb71656216b · inbound
Developing an Effective Training Dataset to Enhance the Performance of AI-based Speaker Separation Systems cites this paper.
Developing an Effective Training Dataset to Enhance the Performance of AI-based Speaker Separation Systems Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:44:06.786141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0de9e15e-57ae-4738-aec3-aba81e331c3c · inbound
AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder cites this paper.
AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:18:15.089856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1413d630-726f-4e61-8d8b-b33312197e09 · inbound
EDSep: An Effective Diffusion-Based Method for Speech Source Separation cites this paper.
EDSep: An Effective Diffusion-Based Method for Speech Source Separation Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:56:41.861184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3f3fa94-1a78-4bdb-b2b2-27a93f3d0e50 · inbound
Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement cites this paper.
Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:52:08.333915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6eeedb6-77db-4bcb-9040-bc30aa612f7f · inbound
DualStream Contextual Fusion Network: Efficient Target Speaker Extraction by Leveraging Mixture and Enrollment Interactions cites this paper.
DualStream Contextual Fusion Network: Efficient Target Speaker Extraction by Leveraging Mixture and Enrollment Interactions Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:06:35.950643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 001ce124-85f3-4a58-a516-621f57fbcb9c · inbound
SepPrune: Structured Pruning for Efficient Deep Speech Separation cites this paper.
SepPrune: Structured Pruning for Efficient Deep Speech Separation Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:46:07.493057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ff65ff5-9766-4f69-8d0f-2b65198d825f · inbound
CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents cites this paper.
CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T16:46:37.606705Z
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.
Observation ca9cec26-0485-4fcc-b1e2-235cf877f74b · inbound
CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents cites this paper.
CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:48:31.041825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56f25d31-4ee3-4388-be3a-89c6d66adc15 · inbound
Discriminative-Generative Target Speaker Extraction with Decoder-Only Language Models cites this paper.
Discriminative-Generative Target Speaker Extraction with Decoder-Only Language Models Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T15:44:14.765739Z
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.