Paper Citation Record · LEDGER

Inverse-Hessian Regularization for Continual Learning in ASR

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2601.14751.

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

pith.paper-citation-record.v1
2601.14751 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T12:39:48.880112Z

measured 37 of 37 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 2026-05-16T12:39:48.880112Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-16T12:40:54.871244Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy33
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d6be5cb-8411-438f-a1ce-cd59e8ef1bb2 · outbound

This paper cites To be accurate and inclusive, they must adapt to new speakers, accents, domains, or recording conditions.

Inverse-Hessian Regularization for Continual Learning in ASR To be accurate and inclusive, they must adapt to new speakers, accents, domains, or recording conditions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.448911Z

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 cf1e2b55-d1d7-4026-a13f-4c24efdbef6b · outbound

This paper cites ASR Model We consider an encoder–decoder ASR model.

Inverse-Hessian Regularization for Continual Learning in ASR ASR Model We consider an encoder–decoder ASR model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.437761Z

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 0fba4cfd-3e8b-4c50-a22b-efa1d295d56d · outbound

This paper cites Inverse-Hessian Regularization for Continual Learning in ASR.

Inverse-Hessian Regularization for Continual Learning in ASR Inverse-Hessian Regularization for Continual Learning in ASR

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T12:40:54.872624Z

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 3a657268-bdce-4805-9106-bc59a1fde12a · outbound

This paper cites More information, including code and detailed results, can be found in our Github repository 1.

Inverse-Hessian Regularization for Continual Learning in ASR More information, including code and detailed results, can be found in our Github repository 1

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.430869Z

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 bdc887ae-5858-4a5f-9e3b-e92ae9b30710 · outbound

This paper cites Experiment 1 As shown by Table 1, our method (IHR) significantly outperforms all baselines, being able to learn with close to zero forgetting (as shown by its -0.1 BWT).

Inverse-Hessian Regularization for Continual Learning in ASR Experiment 1 As shown by Table 1, our method (IHR) significantly outperforms all baselines, being able to learn with close to zero forgetting (as shown by its -0.1 BWT)

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-05-16T12:40:55.421168Z

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 f4a4311e-4028-4567-badb-ee8ee4a32db3 · outbound

This paper cites As shown Table 2.

Inverse-Hessian Regularization for Continual Learning in ASR As shown Table 2

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.423145Z

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 75c47c55-70b1-46ab-9403-26ba8028f86b · outbound

This paper cites an unresolved cited work.

Inverse-Hessian Regularization for Continual Learning in ASR Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-16T12:40:55.432855Z

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 afba2a8b-7bde-4b0e-8345-8621a7e1cc71 · outbound

This paper cites Catastrophic interference in con- nectionist networks: The sequential learning problem.

Inverse-Hessian Regularization for Continual Learning in ASR Catastrophic interference in con- nectionist networks: The sequential learning problem

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.440325Z

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 98ee746e-dcb3-409c-8721-5bc68c36a0d3 · outbound

This paper cites Using adapters to overcome catastrophic forgetting in end-to-end automatic speech recognition.

Inverse-Hessian Regularization for Continual Learning in ASR Using adapters to overcome catastrophic forgetting in end-to-end automatic speech recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.404077Z

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 9f94cbec-bebf-4093-86c3-b8d2ce9f1c9c · outbound

This paper cites Dealing with Unknowns in Continual Learning for End-to-end Auto- matic Speech Recognition.

Inverse-Hessian Regularization for Continual Learning in ASR Dealing with Unknowns in Continual Learning for End-to-end Auto- matic Speech Recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.410764Z

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 683af837-43ea-4649-a968-d2a11b43f201 · outbound

This paper cites Continual learning for on-device speech recog- nition using disentangled conformers.

Inverse-Hessian Regularization for Continual Learning in ASR Continual learning for on-device speech recog- nition using disentangled conformers

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.412801Z

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 5e2b20a9-1d9a-429e-968d-0e0bfd321f45 · outbound

This paper cites Towards Lifelong Learning of End-to- End ASR.

Inverse-Hessian Regularization for Continual Learning in ASR Towards Lifelong Learning of End-to- End ASR

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.414989Z

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 3fb3e1cd-f60b-4c0c-9cd0-fd8849e47e93 · outbound

This paper cites Continual learn- ing for monolingual end-to-end automatic speech recognition.

Inverse-Hessian Regularization for Continual Learning in ASR Continual learn- ing for monolingual end-to-end automatic speech recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.406846Z

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 a4ea72a9-567d-4c23-92ca-9366f74ae846 · outbound

This paper cites Updating only encoders prevents catas- trophic forgetting of end-to-end ASR models.

Inverse-Hessian Regularization for Continual Learning in ASR Updating only encoders prevents catas- trophic forgetting of end-to-end ASR models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.455577Z

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 c1f45033-768c-409e-be43-0ecc8fa62f9f · outbound

This paper cites Clrl-tuning: A novel continual learning approach for automatic speech recog- nition.

Inverse-Hessian Regularization for Continual Learning in ASR Clrl-tuning: A novel continual learning approach for automatic speech recog- nition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.473506Z

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 2836bad5-c3c3-431a-afb4-c69788c429ef · outbound

This paper cites Weight averag- ing: A simple yet effective method to overcome catastrophic forgetting in automatic speech recognition.

Inverse-Hessian Regularization for Continual Learning in ASR Weight averag- ing: A simple yet effective method to overcome catastrophic forgetting in automatic speech recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.408843Z

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 03a40c8b-1bfc-41a9-b30f-42bcd9b6b7d8 · outbound

This paper cites Online structured laplace approximations for overcoming catastrophic forgetting.

Inverse-Hessian Regularization for Continual Learning in ASR Online structured laplace approximations for overcoming catastrophic forgetting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.451379Z

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 a73ff3f8-748e-474c-8984-c7d98f9724c3 · outbound

This paper cites Optimizing neural net- works with kronecker-factored approximate curvature.

Inverse-Hessian Regularization for Continual Learning in ASR Optimizing neural net- works with kronecker-factored approximate curvature

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.419260Z

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 441681b4-2624-4672-83ee-7bb3ac0b02f5 · outbound

This paper cites Improving Transformer-Based End-to- End Speech Recognition with Connectionist Temporal Classi- fication and Language Model Integration.

Inverse-Hessian Regularization for Continual Learning in ASR Improving Transformer-Based End-to- End Speech Recognition with Connectionist Temporal Classi- fication and Language Model Integration

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.401849Z

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 d25cb0d6-8fa2-4b71-88e5-7f9bcdcdb137 · outbound

This paper cites Natural con- tinual learning: success is a journey, not (just) a destination.

Inverse-Hessian Regularization for Continual Learning in ASR Natural con- tinual learning: success is a journey, not (just) a destination

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.417178Z

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 912f5d40-462b-4941-a016-081c7b141e2b · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Inverse-Hessian Regularization for Continual Learning in ASR Overcoming catastrophic forgetting in neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.443262Z

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 62e910bc-0832-4ec9-b48a-1bf0e00158f0 · outbound

This paper cites Continual learn- ing with quasi-newton methods.

Inverse-Hessian Regularization for Continual Learning in ASR Continual learn- ing with quasi-newton methods

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.426796Z

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 b923da80-d79b-4ce7-a1fb-cc8dafd76d40 · outbound

This paper cites Continual lifelong learning in natural language processing: A survey.

Inverse-Hessian Regularization for Continual Learning in ASR Continual lifelong learning in natural language processing: A survey

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.457691Z

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 e60f201a-2e69-4b23-9089-ece76887e2f0 · outbound

This paper cites ESPnet: End-to-end speech processing toolkit.

Inverse-Hessian Regularization for Continual Learning in ASR ESPnet: End-to-end speech processing toolkit

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.460382Z

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 f108479b-4042-446f-8345-241e9fdeb45c · outbound

This paper cites Common voice: A massively-multilingual speech corpus.

Inverse-Hessian Regularization for Continual Learning in ASR Common voice: A massively-multilingual speech corpus

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.469162Z

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 c23d5440-dad5-4c83-86b6-fc88fea72890 · outbound

This paper cites Unsupervised online continual learning for automatic speech recognition.

Inverse-Hessian Regularization for Continual Learning in ASR Unsupervised online continual learning for automatic speech recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.478436Z

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 4a5cc94e-c611-489f-9c54-32cc632eb578 · outbound

This paper cites Librispeech: An asr corpus based on public domain audio books.

Inverse-Hessian Regularization for Continual Learning in ASR Librispeech: An asr corpus based on public domain audio books

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.475770Z

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 4df1f7e1-38cb-4ecc-a649-bbb834904048 · outbound

This paper cites Libri-adapt: a new speech dataset for un- supervised domain adaptation.

Inverse-Hessian Regularization for Continual Learning in ASR Libri-adapt: a new speech dataset for un- supervised domain adaptation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.471660Z

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 ed3544e6-c491-46be-af87-9302f0d13150 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Inverse-Hessian Regularization for Continual Learning in ASR Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.464464Z

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 010cf4d9-2a6e-4dcd-af99-ae5972e747a1 · outbound

This paper cites Attention is all you need.

Inverse-Hessian Regularization for Continual Learning in ASR Attention is all you need

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.425030Z

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 c3170be7-7662-43e7-b00e-4bed824563c2 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing.

Inverse-Hessian Regularization for Continual Learning in ASR SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.428718Z

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 a5f6b505-23fb-45fe-bdd5-d882437ad27b · outbound

This paper cites Adam: A method for stochastic optimization.

Inverse-Hessian Regularization for Continual Learning in ASR Adam: A method for stochastic optimization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.445891Z

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 a0c7e44c-409f-44d2-929e-68986668ba55 · outbound

This paper cites Experience replay for continual learn- ing.

Inverse-Hessian Regularization for Continual Learning in ASR Experience replay for continual learn- ing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.434989Z

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 b176088f-2d2f-415c-9d2b-60c188b48fdc · outbound

This paper cites Comparing the recognition performance of csrs: in search of an adequate metric and statistical significance test.

Inverse-Hessian Regularization for Continual Learning in ASR Comparing the recognition performance of csrs: in search of an adequate metric and statistical significance test

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.453481Z

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 8f749daa-a614-4fee-8dfe-8c482330b639 · outbound

This paper cites A continual learning survey: Defy- ing forgetting in classification tasks.

Inverse-Hessian Regularization for Continual Learning in ASR A continual learning survey: Defy- ing forgetting in classification tasks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.462456Z

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 51b38e4d-ab1a-47f2-95e5-fa2f16ab2554 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Inverse-Hessian Regularization for Continual Learning in ASR Memory aware synapses: Learning what (not) to forget

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T12:40:55.466905Z

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.

Pith citing papers

Observation 0fba4cfd-3e8b-4c50-a22b-efa1d295d56d · inbound