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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 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.024260Z digest=sha256:18076cb5360669dfd49866d1d1871db58effacbc9919766119cf31b855080f27

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.029868Z digest=sha256:d7812e0827a242bd97c334ebdf96dee46920df4440bba8568c226fcc33a62c2c

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=sha256:7285991b014aef9868b8938e0d5582ac47ec218055a4526f2db8481bb717e466

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.040021Z digest=sha256:970cdeb35e034def0937e1bca7c344efb6eec658613845d6664f53f6f6ad7054

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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no resolver link, observed 2026-08-12T15:53:11.044480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.044480Z digest=sha256:38f0f54221d9d7927eb198e556fe6726a5bd8e04e1099741eddf3bde02ad753d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.048595Z digest=sha256:e67b6f9887b0e616f3619f662c4386687f4503121927275fa365f9ebfca15089

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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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.053272Z digest=sha256:aa4720799a617bc7afe569dd0b81ef4d6546be10614981072f7a571ff234e2bb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.057050Z digest=sha256:66f9985bb163a76c0228157d1b311609369edef48c6bcbd6b1eaf3a1ddbfe078

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.061029Z digest=sha256:095f0b03ef843b5a18660f4ecbbd50e12b6faf57f59fde79b3f0e88c1f731e88

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=sha256:007b698ba2d8a318b7120933584412a31dc48ac71d4227388817cbbb5281f7c2

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:aac6627cc47dcfd11eb5ebc94b4cb31ab9c99361f9ddd55e67ce53c9a9c70c50

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.075799Z digest=sha256:9417668ea666ef0c14e9aa5c0bfda8d71e2d1317ea799e7ae6f64862a30a5b8d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.083679Z digest=sha256:4e0f18505b84644f6436889d95de7a4b56c9c2bc216c132498ec1f7b7b33095b

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=sha256:9dec7accae0443bcc813c4b1e73ef7d538c3f365cba3531f0b3332b735a37dac

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=sha256:3b325dc7caf86b613425421d60a70270f94b77e86e8125bff083b39a00467409

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=sha256:78c371ffd53a94ba1ecfd0d40d42d96f95727f1835c5af74d7ebf43a051cedec

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:fb8c385758fb5d48ab17ca9edd3c0eeff54661b4392b80d95d377bda4ed784a4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.106726Z digest=sha256:0b9a0e5eab12f21893b8a877660bcb7e7d893f8e9b353350be331e1416d1dc87

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:ff55be9cd9c751381d2c613e8efe8e109a63a853f014eca4f70d56c573cb79e4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.119063Z digest=sha256:d9c97975919761af22312496a35f0fd877def30342ae052782a7579d3aeecc9c

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.124767Z digest=sha256:a37908d593d7e8c0d7ed90e276948ee638971d79884cf316a62e8fd6d93201e1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.128516Z digest=sha256:4a9a8c4f623e0574f36928e2cc6cf8dc34199a6e4e082ea5c291bdad7a3e0a93

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:bd1ba5b25e02083b690bf866d87508ca2bac7a795aef1a10ad9ca8d897d9edc0

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:fa9952d69371c516bc277b8bb534ae5fd46eccffc98d469e9d2b0d8cf0e961d4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:53:11.146098Z digest=sha256:815913f920eadbb84f646f5adf9cc21176696e1f2bebae110e454651d96b07a6

Pith citing papers

No inbound Pith citation observations are available.