Paper Citation Record · LEDGER

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2505.13094.

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

pith.paper-citation-record.v1
2505.13094 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:23:17.365827Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T14:58:27.176375Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T03:37:36.071768Z

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy14
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a30bbd3-876c-4e3f-8cca-12da0d2db43f · outbound

This paper cites Tasnet: time-domain audio separation net- work for real-time, single-channel speech separation,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Tasnet: time-domain audio separation net- work for real-time, single-channel speech separation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.820695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ce5527fe-4463-4412-a8a4-1bf3eeb30795 · outbound

This paper cites Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech separation,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech separation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.269642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb995a81-2bf3-4143-98bb-280e4b43d50d · outbound

This paper cites An efficient encoder-decoder architecture with top-down attention for speech separation,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation An efficient encoder-decoder architecture with top-down attention for speech separation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.796505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ee5853a-6a1b-4d57-a919-34b4df606410 · outbound

This paper cites Speech separation using an asynchronous fully recurrent convolutional neural network,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Speech separation using an asynchronous fully recurrent convolutional neural network,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.782593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 21d503be-cbc5-44df-8393-2aa31c6258ac · outbound

This paper cites On the Use of Deep Mask Estimation Module for Neural Source Separation Systems,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation On the Use of Deep Mask Estimation Module for Neural Source Separation Systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.769457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8055f04a-cb20-4837-9c51-2c6c195e6b3f · outbound

This paper cites Iianet: An intra-and inter-modality attention network for audio-visual speech separation,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Iianet: An intra-and inter-modality attention network for audio-visual speech separation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.753342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7f78144-1af0-4b43-97d3-55e9c6ab9803 · outbound

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

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Tf-gridnet: Making time-frequency domain models great again for monaural speaker separation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.291926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2a6eef-6a7a-4554-b54d-c7ca8428bd4c · outbound

This paper cites Atten- tion is all you need in speech separation,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Atten- tion is all you need in speech separation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.295898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4232277-5b18-4112-afd5-99bf82ea569d · outbound

This paper cites Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.724878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c64cae30-066a-4cae-b9ea-5be9effa4ab8 · outbound

This paper cites SPMamba: State-space model is all you need in speech separation.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation SPMamba: State-space model is all you need in speech separation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.304136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c44ddce1-38f9-443d-97c9-d58e224546fd · outbound

This paper cites Advances in online audio-visual meeting transcription,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Advances in online audio-visual meeting transcription,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.711456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6367b7d7-c5e7-4370-bc6a-ef6c50e32b2a · outbound

This paper cites An End-to-end Architecture of Online Multi-channel Speech Separation.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation An End-to-end Architecture of Online Multi-channel Speech Separation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:23:17.435694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d84e012b-50c0-48de-883a-2be3ee77d932 · outbound

This paper cites Skim: Skipping memory lstm for low-latency real-time continuous speech separation,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Skim: Skipping memory lstm for low-latency real-time continuous speech separation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.698801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d80f379-2c4e-49ba-8a5d-3772ab349dd4 · outbound

This paper cites Resource-efficient separation transformer,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Resource-efficient separation transformer,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.681711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e62befec-a83a-4f2f-a594-9b9cc51e4a62 · outbound

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

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.324960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3d683b7-7d54-4ca7-95db-f8bcd3b65d18 · outbound

This paper cites Low latency speech enhancement for hearing aids using deep filtering,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Low latency speech enhancement for hearing aids using deep filtering,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.657244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5663135f-4793-4195-a8ab-fe3412792e86 · outbound

This paper cites On the design and training strategies for rnn-based online neural speech separation systems,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation On the design and training strategies for rnn-based online neural speech separation systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.643796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2154272-6a3f-4e7f-b4b3-4b9ba681a9b5 · outbound

This paper cites Predictive skim: Contrastive predictive coding for low-latency online speech separation,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Predictive skim: Contrastive predictive coding for low-latency online speech separation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.630354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f16cb438-6d2b-472d-b928-b60c1d830f1c · outbound

This paper cites Attention is all you need,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Attention is all you need,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.503712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6496d905-b12c-4dbe-96c1-326a3970beaa · outbound

This paper cites Layer Normalization.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Layer Normalization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.343304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 773a7c24-b10c-4f36-a737-cb3d9a6dc289 · outbound

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

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation WHAM!: Extending Speech Separation to Noisy Environments

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.347263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea52403-9dd1-469a-ae8f-c715b7049cac · outbound

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

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Whamr!: Noisy and reverberant single-channel speech separation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.351404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 991ebbc0-4aa7-47a7-8982-912d1144ade2 · outbound

This paper cites LibriMix: An Open-Source Dataset for Generalizable Speech Separation.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.354936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bcbebdf-8232-43b0-90fd-0e299fab40e7 · outbound

This paper cites Permutation invariant training of deep models for speaker-independent multi-talker speech separation,.

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Permutation invariant training of deep models for speaker-independent multi-talker speech separation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:17.483306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78af1e41-a59a-4beb-9ecb-bb40b6e3c9f2 · outbound

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

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Sdr–half-baked or well done?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.362250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61929ceb-3d3f-4a85-b2d3-65d74862bf75 · outbound

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

Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation Performance measurement in blind audio source separation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:17.365827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 49e5eb20-ed5d-4c9b-8dc9-2bd05efb229d · inbound

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models cites this paper.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.073117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.