Paper Citation Record · LEDGER

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory

As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2411.18320.

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

pith.paper-citation-record.v1
2411.18320 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:21:32.771529Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:21:32.666466Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T11:21:32.853782Z

Reference resolution

33 of 33 outbound references displayed

verified exact4
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5e77d5b-2950-4279-bb55-aa34b24653ce · outbound

This paper cites Continual Learning in Machine Speech Chain Using Gradient Episodic Memory.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Continual Learning in Machine Speech Chain Using Gradient Episodic Memory

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:21:32.857264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ff03ec82-17ea-4a84-8103-fe4cd658b155 · outbound

This paper cites an unresolved cited work.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:21:33.089888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d4574dda-568d-4e52-b542-8ea2d6061561 · outbound

This paper cites These three stages, depicted in Figure 1, build upon the process proposed in [9], for the first and second stages, with our continual learning method introduced in the third stage.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory These three stages, depicted in Figure 1, build upon the process proposed in [9], for the first and second stages, with our continual learning method introduced in the third stage

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:33.081849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ab50daa-6c75-4a77-b51a-f9acd1953738 · outbound

This paper cites Here, ASR and TTS are trained separately in a super- vised manner to ensure strong baseline performance for the subsequent training stages.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Here, ASR and TTS are trained separately in a super- vised manner to ensure strong baseline performance for the subsequent training stages

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:33.072988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b104b1d3-abb0-45c2-83ee-6d04495def60 · outbound

This paper cites At this stage, ASR and TTS mutually enhance each other by training on unlabeled data from the base task, using unsuper- vised methods to improve performance.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory At this stage, ASR and TTS mutually enhance each other by training on unlabeled data from the base task, using unsuper- vised methods to improve performance

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:33.064479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c6ea2e66-99f5-418f-a934-1be87c093b1d · outbound

This paper cites ASR engages in con- tinual learning for new tasks using replayed inputs from the base task, synthesized by TTS.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory ASR engages in con- tinual learning for new tasks using replayed inputs from the base task, synthesized by TTS

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T11:21:33.055100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8bf452d9-2580-4206-b683-43cfbfe0d35a · outbound

This paper cites Experimental Setup We prepared two tasks for the ASR models to recognize.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Experimental Setup We prepared two tasks for the ASR models to recognize

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:33.046124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fdf9ce5d-5087-4093-a7a8-e1967b58ce1a · outbound

This paper cites We then demonstrated first-hand the implementation of such replay method with gradient episodic memory (GEM).

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory We then demonstrated first-hand the implementation of such replay method with gradient episodic memory (GEM)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:33.037497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46dd98db-a260-4c01-a13b-0dd0db948529 · outbound

This paper cites an unresolved cited work.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:21:33.028288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45d7b061-e723-4dd9-a7c2-c0d3723b6fbd · outbound

This paper cites The LJ Speech dataset that we used is a public domain dataset which is not in violation of license and data ethics.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory The LJ Speech dataset that we used is a public domain dataset which is not in violation of license and data ethics

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:33.019968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9350e22d-f155-4caf-a627-2ce786119fe2 · outbound

This paper cites an unresolved cited work.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:21:33.011227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6edb5ed0-bdae-4b8c-aad2-8d57354b98a1 · outbound

This paper cites Attention is all you need,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Attention is all you need,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:33.002891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8725bb9d-02c8-415b-821c-7830a20ed22a · outbound

This paper cites Jasper: An End-to-End Convolutional Neural Acoustic Model.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Jasper: An End-to-End Convolutional Neural Acoustic Model

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:21:32.845409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 65284f0f-196d-4e96-b0bc-b9d38acbaa5e · outbound

This paper cites Transformer transducer: A streamable speech recog- nition model with transformer encoders and rnn-t loss,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Transformer transducer: A streamable speech recog- nition model with transformer encoders and rnn-t loss,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.995005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b9053ea0-9949-4f80-ba7d-1cf83abee3f7 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Conformer: Convolution-augmented transformer for speech recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.986981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation de81d0f8-d2a1-42c8-a69a-c2bbffb0be0d · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Robust speech recognition via large-scale weak supervision,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.978317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5984be0-d892-4123-9702-4932181b779d · outbound

This paper cites SeamlessM4T: Massively Multilingual & Multimodal Machine Translation.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T11:21:32.719372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 034a216a-4502-420a-b0a1-3d2378c41935 · outbound

This paper cites an unresolved cited work.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:21:32.970084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a39ceac0-20e4-4d51-a235-cdd87fd61fe7 · outbound

This paper cites To- wards lifelong learning of end-to-end asr,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory To- wards lifelong learning of end-to-end asr,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.961632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 85c2257f-ec92-467d-8e09-1e45481c47f2 · outbound

This paper cites Machine speech chain,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Machine speech chain,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.953688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8897f80a-c788-4aac-861d-e4e3d2faf988 · outbound

This paper cites Gradient episodic memory for continual learning,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Gradient episodic memory for continual learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.945686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3bbf5d3-fe93-4e17-bcb5-d98ad7ef4f7d · outbound

This paper cites Denes and Elliot Pinson, The Speech Chain , Worth Publishers, 1993.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Denes and Elliot Pinson, The Speech Chain , Worth Publishers, 1993

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.936754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 357bc453-735e-4939-8a5c-e89795aed988 · outbound

This paper cites A machine speech chain approach for dynam- ically adaptive lombard tts in static and dynamic noise environments,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory A machine speech chain approach for dynam- ically adaptive lombard tts in static and dynamic noise environments,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.927983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc807379-74cc-49c4-bcd9-b3526e3374ee · outbound

This paper cites SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:21:32.825449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e522c5a7-db24-47c0-b82b-6b6c2ffb8b07 · outbound

This paper cites Indonesian-English code-switching speech recognition using the machine speech chain based semi-supervised learning,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Indonesian-English code-switching speech recognition using the machine speech chain based semi-supervised learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.919634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d263548-8043-4670-b681-9c33ac897467 · outbound

This paper cites Continual learning through synaptic intelligence,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Continual learning through synaptic intelligence,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.910991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c28ae05-eaba-4979-8b23-fb844b98f8cf · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Distilling the Knowledge in a Neural Network

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T11:21:32.751725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f92ad9d-f7ef-450c-a86d-474c1529c3fc · outbound

This paper cites Continual learning with deep generative replay,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Continual learning with deep generative replay,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.902565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 076f6143-356f-42bf-a115-73f6247a9859 · outbound

This paper cites Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:21:32.804163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88d16338-ac49-4c53-96f8-9213597d365e · outbound

This paper cites The LJ Speech Dataset,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory The LJ Speech Dataset,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.893094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 06949cf8-0bc5-49b0-919f-3c9f15e39856 · outbound

This paper cites Speech- transformer: a no-recurrence sequence-to-sequence model for speech recognition,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Speech- transformer: a no-recurrence sequence-to-sequence model for speech recognition,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.884546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49fcd488-6d98-439e-ac76-03965f24740e · outbound

This paper cites Neural speech synthesis with transformer network,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Neural speech synthesis with transformer network,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.875486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44e6e821-5b69-4ce8-bea0-b7a0c02048c9 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Continual Learning in Machine Speech Chain Using Gradient Episodic Memory Overcoming catastrophic forgetting in neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:21:32.866480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation d5e77d5b-2950-4279-bb55-aa34b24653ce · inbound