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Paper Citation Record · LEDGER

MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.11825.

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

pith.paper-citation-record.v1
2312.11825 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:27:35.329980Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T06:39:48.640104Z

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 c2162230-c407-4829-abc8-f2259cebb3e2 · inbound

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution cites this paper.

HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:35.329980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:27:35.329980Z digest=sha256:18da700de87937ea35bb3923147fdbdb76931ab98c7e0b72f3a237a16085b18a

Observation e6eaa642-105a-4620-9df5-182fff3293f7 · inbound

Leveraging Spatial Cues from Cochlear Implant Microphones to Efficiently Enhance Speech Separation in Real-World Listening Scenes cites this paper.

Leveraging Spatial Cues from Cochlear Implant Microphones to Efficiently Enhance Speech Separation in Real-World Listening Scenes MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T15:01:57.773324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:01:57.773324Z digest=sha256:dfb1fa2edbc2f97b959aa5bc9d91c4129a50fd70b91958895beee3f6e1226667

Observation 1c681846-de15-4cc9-b455-7d7c10b40ccd · inbound

Asymmetric Encoder-Decoder Based on Time-Frequency Correlation for Speech Separation cites this paper.

Asymmetric Encoder-Decoder Based on Time-Frequency Correlation for Speech Separation MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:39:48.644487Z

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=2026-05-15T06:37:31.047423Z digest=sha256:d8512f7396e96758a200e8d38bb45914ef02f2df98c88cdbdc184fb031c27f7c