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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 22 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.024260Z digest=sha256:58b6e17175a3d130db74375dbaca8ec0a0d048e86af73f37366b1bc57a48c37e

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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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.029868Z digest=sha256:a4b9dcbc534ba631a6e187eb352b41ea383351f71b5fbd5329b2eff98d2396e9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.040021Z digest=sha256:a4365a24cbd985071177f258b0859c644ac659a9423809e4427eb465a50f50b3

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=sha256:38f0f54221d9d7927eb198e556fe6726a5bd8e04e1099741eddf3bde02ad753d

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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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.048595Z digest=sha256:248aa0a02b98ce94baa997003bc9d6bac87435ae30a3e5e98280f1e269ea42ef

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.053272Z digest=sha256:598ff52436cae6e8d83ec02a996e9b843d57977dba57164f1dbc63f23d695f9f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.057050Z digest=sha256:c4e25c7ec0d037a7095b4245d3f3fdf55db1b018f1d034a20f59243be1a9e83b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.066619Z digest=sha256:a54435554391f8af39961c7d8e82742bd5437862885bc9a23f3cf94e08109d5f

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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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.075799Z digest=sha256:c4db72a7a7000b691e18c719b9eb545ec1ac99ca1c716766cefa66ecc6caae3d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.083679Z digest=sha256:8dec5701c7a1cc9bfe10429aeee1ed8d1f5b13bdc0970b7a1573794c93b19b86

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.087244Z digest=sha256:3fb9d526cd5cc3dacc94d3b626df7d0a48b2f985e21657c28ba3af67cdbc69e5

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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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:11.099817Z digest=sha256:dba6029461a66446616e2d7d2ba061356bebc81cb52a2b58cca3b2aa34eb37cb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.106726Z digest=sha256:197b0cf64feea098ddc349dc952186a61aedcd201c3ceb58260cdb4aea1bd20f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.119063Z digest=sha256:b13e63bba2ab6d13ca3c4cda6fd0e8923fbd5c6c83088be081a6a8242e67e211

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.124767Z digest=sha256:3f8fa22585354855f88228a9d4b357a11a427a07f59b880b09943cbfa6511ba6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.128516Z digest=sha256:3a07d50160ded12143ed3f941727001905168192f40a32e2bc5d7aa231efe54d

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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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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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:53:11.146098Z digest=sha256:4274c3ce178f5d0c73977e6ecbf14e83e95b89540aae9b12c62bd47f11105995

Pith citing papers

No inbound Pith citation observations are available.