Paper Citation Record · LEDGER

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2411.14489.

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

pith.paper-citation-record.v1
2411.14489 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:47:26.023182Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:47:25.902060Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T16:47:26.160280Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy14
unresolved17
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3568320-910f-43a4-bf06-b473f4b010af · outbound

This paper cites an unresolved cited work.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:47:26.418061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94679594-71d8-4573-adf8-85260f7e2eba · outbound

This paper cites Without loss of generality, we use GRU to illustrate the definition of GhostRNN.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Without loss of generality, we use GRU to illustrate the definition of GhostRNN

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.405867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f9e2e86-a684-492f-8d9e-87743a5b4042 · outbound

This paper cites an unresolved cited work.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Unresolved cited work

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T16:47:26.394295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4b5ec7e-4738-44dd-a443-51ca857308a6 · outbound

This paper cites an unresolved cited work.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:47:26.371068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 363878b9-a5e7-4303-920e-da0cd473cf93 · outbound

This paper cites • GRU-TasNet.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations • GRU-TasNet

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.382275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b8225d9-a6e8-4415-aa01-54e22c97feed · outbound

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

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech sepa- ration,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.947634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 988edbb8-8b94-4afb-974f-42a62a44c403 · outbound

This paper cites 2022D01D43).

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations 2022D01D43)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.360545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6c04cf5-8fec-4507-a5a0-49e8a34c8bef · outbound

This paper cites Long short-term memory,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Long short-term memory,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.926924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3589998f-ccce-4c3f-81c7-969cf5214c27 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.931065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402039aa-da20-4d56-b821-93727f00fd4d · outbound

This paper cites Hello Edge: Keyword Spotting on Microcontrollers.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Hello Edge: Keyword Spotting on Microcontrollers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.935118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a70889e-6b8d-4898-8371-8a4f93ecfb1f · outbound

This paper cites Streaming keyword spotting on mobile devices.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Streaming keyword spotting on mobile devices

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.938967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1ac0804-7ed9-407f-95e7-35c4cadf0e5b · outbound

This paper cites DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.942936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5374ae97-75af-47ac-9644-2c5eecd9220a · outbound

This paper cites GhostRNN: Reducing State Redundancy in RNN with Cheap Operations.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations GhostRNN: Reducing State Redundancy in RNN with Cheap Operations

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T16:47:26.164550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9244c02e-7823-42e2-ae91-34d505058800 · outbound

This paper cites Exploring architectures, data and units for streaming end-to-end speech recognition with rnn-transducer,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Exploring architectures, data and units for streaming end-to-end speech recognition with rnn-transducer,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.951185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3180c84-01bc-4dcd-ba19-e0170fd3c921 · outbound

This paper cites Nonlinear residual echo sup- pression using a recurrent neural network.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Nonlinear residual echo sup- pression using a recurrent neural network

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.327222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f7f7795-488c-4347-81c8-8c89efbedb99 · outbound

This paper cites Acoustic Echo Cancellation by Combining Adaptive Digital Filter and Recurrent Neural Network.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Acoustic Echo Cancellation by Combining Adaptive Digital Filter and Recurrent Neural Network

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.958214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e668f69f-ed9a-49cd-948b-20a1b58c69b3 · outbound

This paper cites Attention is all you need,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Attention is all you need,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.961800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fe06d07-22ba-4577-ac27-a4a1ce20afd0 · outbound

This paper cites Gate-variants of gated recurrent unit (gru) neural networks,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Gate-variants of gated recurrent unit (gru) neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.307340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 075d4fcf-6ea0-4876-aaec-c133df461daf · outbound

This paper cites Light gated recurrent units for speech recognition,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Light gated recurrent units for speech recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.295638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17923d87-e2d7-4c91-8750-11d14ff961e2 · outbound

This paper cites An optimized recurrent unit for ultra- low-power keyword spotting,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations An optimized recurrent unit for ultra- low-power keyword spotting,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.281785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation deff5774-f97a-4b5d-9cf7-f366d794e7cb · outbound

This paper cites Sitgru: single-tunnelled gated re- current unit for abnormality detection,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Sitgru: single-tunnelled gated re- current unit for abnormality detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.269867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b53ce4a-d6cb-4ea4-a403-040f112acd88 · outbound

This paper cites Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:47:26.092088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4a77769-d9b4-4746-87b6-bdf97643cf0b · outbound

This paper cites Ghost- net: More features from cheap operations,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Ghost- net: More features from cheap operations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.258852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc5f7d78-60bc-4768-aea4-c7d5b7d45bff · outbound

This paper cites Learning long-term de- pendencies with gradient descent is difficult,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Learning long-term de- pendencies with gradient descent is difficult,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.246616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 845bdd0f-c5af-43f9-b3ea-f1b5eccd1fe9 · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.990379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f62c89c-bb19-4c9d-a1a8-176ef37e330e · outbound

This paper cites End-to-end low resource keyword spotting through character recognition and beam-search re-scoring,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations End-to-end low resource keyword spotting through character recognition and beam-search re-scoring,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.235390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7619ca74-a52c-444c-9310-ace1ec8b0838 · outbound

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

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:25.997599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efa4e11b-432b-47a1-a513-18bff2d8ace4 · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Lib- rispeech: an asr corpus based on public domain audio books,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:26.001398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77ce84e3-9121-4d41-ab6d-f94e2fb956b9 · outbound

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

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations WHAM!: Extending Speech Separation to Noisy Environments

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:26.005454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1d9669-c51f-4158-a5ba-0c344b9106e3 · outbound

This paper cites As- teroid: the PyTorch-based audio source separation toolkit for re- searchers,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations As- teroid: the PyTorch-based audio source separation toolkit for re- searchers,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.217298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2d9582c-95e1-4159-91a0-4f73c16de4da · outbound

This paper cites Real-time single-channel dereverbera- tion and separation with time-domain audio separation network.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Real-time single-channel dereverbera- tion and separation with time-domain audio separation network

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.204677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b794d19-376e-43b9-90b7-9baef6cb5a66 · outbound

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

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Sdr– half-baked or well done?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:26.016503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11185d92-5f08-4e1a-8684-697908774185 · outbound

This paper cites An al- gorithm for intelligibility prediction of time–frequency weighted noisy speech,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations An al- gorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T16:47:26.019934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e28ef1ee-d7a3-463d-a36a-f2485f9c79b0 · outbound

This paper cites Mindspore,.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Mindspore,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:47:26.177286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 5374ae97-75af-47ac-9644-2c5eecd9220a · inbound