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Paper Citation Record · LEDGER

Inverse-Hessian Regularization for Continual Learning in ASR

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:0efc92a2d822790b0cbf912e5d73ecb87f29ebfe3a4bc4486b57cfa52e43eb95

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:7cf5872d1d0fdf2e60fe96471282b51ca1e0c4fd4a23236d87b62ec47fc4098b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:560ad758727a6401ae489d6413dffd946a0cb3d6d23b61a68b1ddd3547c06ce0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:e24bd5ea1a9e3980dda5f4dc0dd0061b61b797efea7fa57a46180216f9123e23

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:dc702188304f334ba2e53b4bdfd73bf3f55dbb131e00547c1362b3d5b0245e5f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:7da11c9e9583d6d3d97a884241202e854949f5a0d31cbebad081b8b9ad73f16b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:23e23f01161535eaaf2e9302ecd16b175e6a1df646e3332c8c1b85b9042d5eb6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:79c0abf8bd7d3836a0a57d83848d195bfc78977588fc48e971dce03840b207b5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:8b2fd0d8afd6282b574692124c76a599f0f99b2b5878a8a9867454b80ac955bc

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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:ea11c16c609259d2efacff26397b15cd5f23d89545a74c438f6d11d0b23463a7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:7d03c1ea4fbb180d742f3da390c1ba58c3bf6a9778aac8680177f3d106253f25

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:e0562040682da14975c224731b795ef1d0fa1d9a446a97f8bfcd8eba4e150578

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:732ebff72cf40011069c40309702718710708e0c2d83a53a0621c1fcc4c46746

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:79be3a7cb979f37cf83e5cc51e2a282ff3f1c0a2b3f9a80f7813dd909e25bd83

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:10add43eff79e6e00e93eb54551f072478ec0f1da379ae1b657dfe5e66612429

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:d7b73ef88815421fe343bc1a7c608bbb9303397efe26d0d6b16972bc646b0715

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:18da2a175ae5539424e9f8097b348c74dacc72a7c6e7d9143c9bf61f24fc4bf1

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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:796463aa2bb6539bbc26760f215d09308239ba4c8af901b3c97524bea3cde02f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:1de1a087ebc6eff089687fa07c7e345253fcdb23adc40fc798735910a22c5ae5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:74c32e2540e7d496d143a4dccf5654cd1d884a2766c30a2153af3f4effcef73f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:c0329afe0395864c0fba9f94e354c7baf439bc44f041433621f9fade7d439a19

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:6720c48812242454b8f70fdbddf97d08c38643e5b02ad47194d47b78ceca5282

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:81a273b74211d044b4cb0aa4ae01b96992f94d6df9a3ceca7d220574fc871678

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:6fa653005c9dfe5891282c85b2e84349b5bbaecbe071774a837b5555f568d4ae

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:4fdc49c9b8a00393c0ea8ad593b1e5058589497c94926cac8b11ee8bd1b14ba3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:e430db389ed24bf69a4037e8a171e3fbf9ee34acc6e84e08193c42ddb4c94f8f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:ab0d6718cf9dc19a0bac0446b5220a06326562832d5031ef9e1a9b7bb873220a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:f7ee5882d148ed1783534d32ebf77e7833e573201954f7f9e6260d1ec9682478

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:0422f7745f7dff5443755b0e7083485909837b2c9fff33dfabe6fcff42b9806e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:915cc9f9aa0bc6503b2aac5cac002dcacf17a9c0f1aaf0d59f0c4c6d1e707fe3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:31a862fc21a92f0ff932ab55f0b7e70334d6ee72b91b308d940479d18c6e0257

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:d1a88c127e2de75de872593e8d92a69ff753c2a3ffa29756e5266d9c926969a4

Pith citing papers

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

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

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:48.880112Z digest=sha256:0efc92a2d822790b0cbf912e5d73ecb87f29ebfe3a4bc4486b57cfa52e43eb95