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Paper Citation Record · LEDGER

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2411.13811.

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

pith.paper-citation-record.v1
2411.13811 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:53:11.146098Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7a604b1-96b1-4575-8948-c2f63433021d · outbound

This paper cites Deep clustering: Discriminative embeddings for segmentation and separation,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Deep clustering: Discriminative embeddings for segmentation and separation,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.482346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.024260Z digest=sha256:bdf875040f379bfc0fd1f786aae933dcd3513dbfa4f546373e685630a31e7827

Observation 04028720-58e2-4d16-9c4d-adc632d03d8a · outbound

This paper cites X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network

Reference 2

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verified exact
local_arxiv, observed 2026-08-12T15:53:11.297492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.029868Z digest=sha256:201ebd65475930cae35cd1004ddb0a98d0f013558fbf69bd0c04a1ce1e1eb9e0

Observation e79aa124-4c5b-4036-a234-e0a6391e6eb4 · outbound

This paper cites Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 3

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no resolver link, observed 2026-08-12T15:53:11.035688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.035688Z digest=sha256:e6cd1a8ad030f6a89d1a632394c54e3e0c4c1fb4f4d5a8606babbce07a480e16

Observation 22ae94b1-0ec2-49a6-82f5-d78522e1e266 · outbound

This paper cites X-sepformer: End-to-end speaker extraction network with explicit optimization on speaker confusion,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion X-sepformer: End-to-end speaker extraction network with explicit optimization on speaker confusion,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.463604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.040021Z digest=sha256:6818be7554a611deba8ca76d3b3207b0c451a167c5bd1316a10f1cd2f36b02de

Observation 6ab5cef4-d449-410e-9d3a-646586da20d4 · outbound

This paper cites Attention is all you need in speech separation,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Attention is all you need in speech separation,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.044480Z digest=sha256:30b5b442beb95d98308838c7f1ec364db842d30abcb2f9c562837913821c76ac

Observation b5b27d92-39b9-4bb9-962d-0d7982f12f4c · outbound

This paper cites X-tf-gridnet: A time–frequency domain target speaker extraction network with adaptive speaker embedding fusion,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion X-tf-gridnet: A time–frequency domain target speaker extraction network with adaptive speaker embedding fusion,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.445701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.048595Z digest=sha256:a02d53e7a4c2dc314f9f6b1d269ec585280691225c04f495c106143f1c424b73

Observation 71ff4977-d239-43e8-9f4d-f8fb153437bc · outbound

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

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Tf-gridnet: Making time-frequency domain models great again for monaural speaker separation,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.434340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.053272Z digest=sha256:e066740adc42409e66f950a4610db39700a9532f1bdeb3ba1703e2a65d03a987

Observation b993366f-2619-4d54-b3dc-91e0af823588 · outbound

This paper cites Single channel target speaker extraction and recognition with speaker beam,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Single channel target speaker extraction and recognition with speaker beam,

Reference 8

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raw_fallback, observed 2026-08-12T15:53:11.423397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.057050Z digest=sha256:f263495923a9173b620b6e50dc7db199a804192e82fdf604200617ba0bd9a45d

Observation 8841318e-8b8e-458b-876c-4e54099e768f · outbound

This paper cites VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

Reference 9

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no resolver link, observed 2026-08-12T15:53:11.061029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.061029Z digest=sha256:79c42026342209d37440963ddc5fd661a97b492d5a4844306cfeda99e39167d0

Observation 27de0348-9ded-4fb5-97f8-4aec62bab1ba · outbound

This paper cites New Insights on Target Speaker Extraction.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion New Insights on Target Speaker Extraction

Reference 10

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no resolver link, observed 2026-08-12T15:53:11.066619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.066619Z digest=sha256:623c755be4252fdb75691f44271e28dfe3a01a0fba7c1c70e39f4638088973fb

Observation c6689993-6469-480e-9fe0-dcd336a4d983 · outbound

This paper cites Wavesplit: End-to-end speech separation by speaker clustering,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Wavesplit: End-to-end speech separation by speaker clustering,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.071241Z digest=sha256:1182b7e05cddda7de4e7ae7002ef462796d99572a6ebb16fb83fc2c0c596e2bf

Observation 4ac044fc-519e-4126-9605-4f399e024254 · outbound

This paper cites Attention-based scaling adaptation for target speech extraction,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Attention-based scaling adaptation for target speech extraction,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.404027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.075799Z digest=sha256:8a839605b1247142be90817396ddeb8fc3a9a1ad383bae19dbdcd0c4ad446f07

Observation a3cee24f-c101-48da-b1e6-300af3a912b7 · outbound

This paper cites Target speaker extraction by directly exploiting contextual information in the time-frequency domain,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Target speaker extraction by directly exploiting contextual information in the time-frequency domain,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.392409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.083679Z digest=sha256:e0f0d715236ebea5492715fa96d172b525906860182e3d5151dcea822964dc11

Observation 2e8fd2de-7ed2-433d-9b4c-5ca83e305eee · outbound

This paper cites CrossNet: Leveraging Global, Cross-Band, Narrow-Band, and Positional Encoding for Single- and Multi-Channel Speaker Separation.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion CrossNet: Leveraging Global, Cross-Band, Narrow-Band, and Positional Encoding for Single- and Multi-Channel Speaker Separation

Reference 15

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no resolver link, observed 2026-08-12T15:53:11.087244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.087244Z digest=sha256:b1d048eca94f574f1201beb377d1059495535d179933cc015d108014fd6f8f04

Observation 4f747a62-0642-4d58-9448-abbc1ee71cb4 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 16

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no resolver link, observed 2026-08-12T15:53:11.092180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.092180Z digest=sha256:4bf479e33c61066ea445d249f426798458fe6077c76947f749173e215236b43d

Observation ce92acf1-fd2f-4e0d-ab46-db00a288aadd · outbound

This paper cites Sdr–half-baked or well done?.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Sdr–half-baked or well done?

Reference 17

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no resolver link, observed 2026-08-12T15:53:11.095809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.095809Z digest=sha256:14f0c556583b7c7433112ab49375af942e557464837e01fa9899710565d2f18e

Observation 5a0d7351-89b4-4407-8c88-f4994ad21691 · outbound

This paper cites SpEx+: A Complete Time Domain Speaker Extraction Network.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion SpEx+: A Complete Time Domain Speaker Extraction Network

Reference 18

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no resolver link, observed 2026-08-12T15:53:11.099817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.099817Z digest=sha256:7caf5f0b723a1520f68ee84463080d51c602c57c381f2db0ec6cb88d3369c6e8

Observation 1b66e01e-0d20-4204-9868-480abdfaf3b2 · outbound

This paper cites Whamr!: Noisy and reverberant single-channel speech separation,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Whamr!: Noisy and reverberant single-channel speech separation,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.369502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.106726Z digest=sha256:d7f105b6f3140183e6439272ae7413320e87d36b14db7dfe30803c800ed8f19d

Observation 12820096-87ab-49d4-b27a-b51b73842a0e · outbound

This paper cites WHAM!: Extending Speech Separation to Noisy Environments.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion WHAM!: Extending Speech Separation to Noisy Environments

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.110936Z digest=sha256:31f44ad873f01864fc37b6d2b3e8f0fa38a09839558d0c325e5184188b9bd240

Observation 666982a8-6f6a-487e-beb6-e6c9e047c42f · outbound

This paper cites Time-domain speaker extraction network,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Time-domain speaker extraction network,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.354880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.119063Z digest=sha256:ce8e6754b191c3e9c3d6eeb07aab2f8c6c506c954303258538ca564bd3867a7e

Observation 1a39e866-ee0b-415b-80e4-a2c74f7f8a0f · outbound

This paper cites Spex: Multi-scale time domain speaker extraction network,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Spex: Multi-scale time domain speaker extraction network,

Reference 22

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raw_fallback, observed 2026-08-12T15:53:11.341213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.124767Z digest=sha256:2d4be59633d65ebb1538215e121c4803df31b8ca5dcec38ca6bf9414e8eed34c

Observation e855fa65-3bdb-4a7a-b8a3-aea102bad867 · outbound

This paper cites Sef-net: Speaker embedding free target speaker extraction network,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Sef-net: Speaker embedding free target speaker extraction network,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.329226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.128516Z digest=sha256:8fa757fe5de05382bc505200cd17fe1fcafa744ccd6cedb081cae97ea14778a8

Observation 610054a0-a670-464d-bde2-d4c5d665fedc · outbound

This paper cites Spatialnet: Extensively learning spatial information for multichannel joint speech separation, denoising and dereverberation,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Spatialnet: Extensively learning spatial information for multichannel joint speech separation, denoising and dereverberation,

Reference 24

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no resolver link, observed 2026-08-12T15:53:11.134385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.134385Z digest=sha256:4b5f86a01c9522616aca161b5f07f67abb0061b12f61223dc1fbc6f86eebd9c9

Observation e8685796-2d3d-47df-bf46-211787792bf9 · outbound

This paper cites Decoupled Weight Decay Regularization.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Decoupled Weight Decay Regularization

Reference 25

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no resolver link, observed 2026-08-12T15:53:11.139423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.139423Z digest=sha256:a2eeea9bef210e6d0c4f1c5964b97dda87b949ee64df7eec409f8e3abe0747bf

Observation 286d71a3-0744-4ae6-95ab-d92c2b8aa724 · outbound

This paper cites Performance measurement in blind audio source separation,.

X-CrossNet: A complex spectral mapping approach to target speaker extraction with cross attention speaker embedding fusion Performance measurement in blind audio source separation,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:11.308970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:53:11.146098Z digest=sha256:cefc9391543dce4eaa3c3b17dd839bf8232b91eb72598a3519bf1ef15d84fe66

Pith citing papers

No inbound Pith citation observations are available.