Paper Citation Record · LEDGER

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2505.14601.

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

pith.paper-citation-record.v1
2505.14601 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:29.963306Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:26.330400Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:43:08.750764Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy35
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b57a3b1f-35fd-4320-a4bd-b4dcef8f5782 · outbound

This paper cites detecting fake without forgetting.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing detecting fake without forgetting

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:36.484397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 568978a1-1cd0-47cd-b9e7-ff6555acd3b4 · outbound

This paper cites Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:26.330400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e07f128-f879-4096-a47a-bb94f90a1fc3 · outbound

This paper cites The expanded features retain subtle distinctions in speech signals and help in preserving complex patterns.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing The expanded features retain subtle distinctions in speech signals and help in preserving complex patterns

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:36.291478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1db09dcf-deb2-494e-928f-68e42088a47c · outbound

This paper cites Dataset We used two datasets in our studies: ASVspoof 2019 LA [4] and WaveFake [29].

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Dataset We used two datasets in our studies: ASVspoof 2019 LA [4] and WaveFake [29]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:36.084738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91389fb0-92b5-429d-a64c-1c9bfc910445 · outbound

This paper cites Source Tracing Studies in Single Dataset Setting Table 1 reports the performance of various methods on the two datasets for ST.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Source Tracing Studies in Single Dataset Setting Table 1 reports the performance of various methods on the two datasets for ST

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:36:35.730512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0dd2f793-a137-426c-8a56-6d700af0f03b · outbound

This paper cites an unresolved cited work.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:36:35.512539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b9d1196-60bf-4034-bf44-553b8c2b1833 · outbound

This paper cites ASVspoof: The automatic speaker verification spoofing and countermeasures challenge,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing ASVspoof: The automatic speaker verification spoofing and countermeasures challenge,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:35.317301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3525be4-9f5c-4430-ada2-0c21c169ee81 · outbound

This paper cites V oice conversion challenge 2020 — intra-lingual semi-parallel and cross-lingual voice conversion —,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing V oice conversion challenge 2020 — intra-lingual semi-parallel and cross-lingual voice conversion —,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:35.071784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba49011b-dd47-4a84-bd80-d9c939221429 · outbound

This paper cites Speaking in wavelet domain: A simple and efficient approach to speed up speech diffusion model,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Speaking in wavelet domain: A simple and efficient approach to speed up speech diffusion model,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:34.824701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 462e5ec0-3ff7-4046-8f6e-b44419ac9d31 · outbound

This paper cites ASVspoof 2019: spoofing countermeasures for the detec- tion of synthesized, converted and replayed speech,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing ASVspoof 2019: spoofing countermeasures for the detec- tion of synthesized, converted and replayed speech,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:34.666512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5fb3819f-9fd8-4094-be6b-e24349c52e94 · outbound

This paper cites ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:34.511414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33e475a4-8f70-4dc5-8d5e-78dccbdbe3da · outbound

This paper cites ASVspoof 5: crowd- sourced speech data, deepfakes, and adversarial attacks at scale,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing ASVspoof 5: crowd- sourced speech data, deepfakes, and adversarial attacks at scale,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:34.277992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c2b0fa0-c459-4b73-bdd6-02bab9fec157 · outbound

This paper cites ADD 2022: the first audio deep synthe- sis detection challenge,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing ADD 2022: the first audio deep synthe- sis detection challenge,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:34.123767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1664ee3e-f56b-4574-8f5f-4af0e8bdd7c9 · outbound

This paper cites ADD 2023: the second audio deepfake detection challenge,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing ADD 2023: the second audio deepfake detection challenge,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:33.993356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad668988-3fb8-43e9-bd55-1fcb75058750 · outbound

This paper cites Synthetic speech detection through short-term and long-term prediction traces,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Synthetic speech detection through short-term and long-term prediction traces,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:27.433924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a70d0d7-5fdc-428d-a31a-990900dae41b · outbound

This paper cites Source tracing: detecting voice spoofing,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Source tracing: detecting voice spoofing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:33.888360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c30537a0-d351-4c9d-9b14-2b75248060c4 · outbound

This paper cites Attacker attribution of audio deepfakes,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Attacker attribution of audio deepfakes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:33.781720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ec31663-3de3-4f8c-a49c-d58f384ef3ef · outbound

This paper cites Source trac- ing of audio deepfake systems,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Source trac- ing of audio deepfake systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:33.670435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5224775d-05ea-46fb-a06d-5c9e3eb87471 · outbound

This paper cites Generalized source tracing: Detecting novel audio deep- fake algorithm with real emphasis and fake dispersion strategy,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Generalized source tracing: Detecting novel audio deep- fake algorithm with real emphasis and fake dispersion strategy,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:33.507839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1cd596fb-263e-47c5-b752-53d6bec8206f · outbound

This paper cites XLSR-Mamba: a dual-column bidirec- tional state space model for spoofing attack detection,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing XLSR-Mamba: a dual-column bidirec- tional state space model for spoofing attack detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:33.326134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20861c17-1384-425d-b3b1-2ed468b521e2 · outbound

This paper cites Overcoming Catastrophic Forgetting in Neural Networks,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Overcoming Catastrophic Forgetting in Neural Networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:33.173821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15de13b8-ef2c-44f5-96aa-5c24f7577e56 · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Continual lifelong learning with neural networks: A review,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:28.037523Z

Source-reported events for the cited work

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Observation 13b570d2-c663-473a-917f-91af77f05966 · outbound

This paper cites Continual learning for on-device environmental sound classification,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Continual learning for on-device environmental sound classification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:33.039606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18a15b36-a4c8-4df8-95e1-a362eec1ccbc · outbound

This paper cites UCIL: An unsupervised class incremental learning approach for sound event detection,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing UCIL: An unsupervised class incremental learning approach for sound event detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.856776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd99d821-71a7-4bba-905f-a1c6c04dfcba · outbound

This paper cites Where’s that voice coming? Continual learning for sound source localization,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Where’s that voice coming? Continual learning for sound source localization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.672611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e267734f-4267-4e94-ba1c-5d07b0430a82 · outbound

This paper cites Continual learning for fake audio detection,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Continual learning for fake audio detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.523453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4113d0e2-9b3a-416b-8976-7312f27250ac · outbound

This paper cites A comprehensive study of class incremental learning algorithms for visual tasks,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing A comprehensive study of class incremental learning algorithms for visual tasks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.362121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56accaeb-4ff3-4d19-ade4-6e8758e9358c · outbound

This paper cites Large scale incremental learning,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Large scale incremental learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.223034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2314e66b-63e7-4201-b14a-3343884da6cf · outbound

This paper cites Rainbow Keywords: Effi- cient incremental learning for online spoken keyword spotting,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Rainbow Keywords: Effi- cient incremental learning for online spoken keyword spotting,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:32.093632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d551579e-cd7c-4fd4-a081-e8932703538a · outbound

This paper cites Dark experience for incremental keyword spotting,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Dark experience for incremental keyword spotting,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:31.933979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 116a567e-cbd5-4b1d-9d3d-e0771a56f288 · outbound

This paper cites Overcom- ing catastrophic forgetting by exemplar selection in task-oriented dialogue system,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Overcom- ing catastrophic forgetting by exemplar selection in task-oriented dialogue system,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:31.800174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e2fb0e7-fa7d-46f2-89f2-64a13b0eba98 · outbound

This paper cites Analyt- icKWS: towards exemplar-free analytic class incremental learn- ing for small-footprint keyword spotting,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Analyt- icKWS: towards exemplar-free analytic class incremental learn- ing for small-footprint keyword spotting,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:31.674951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b65969f-f314-4c93-8870-5415333d5deb · outbound

This paper cites Do you re- member? overcoming catastrophic forgetting for fake audio de- tection,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Do you re- member? overcoming catastrophic forgetting for fake audio de- tection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:31.509079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c6a5891-7113-4cd9-a583-8b5e5aa84ac9 · outbound

This paper cites Blockwise recursive moore– penrose inverse for network learning,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Blockwise recursive moore– penrose inverse for network learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:31.309621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b320a551-bd92-4530-96e3-34381f2913a3 · outbound

This paper cites WaveFake: A data set to facilitate audio deepfake detection,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing WaveFake: A data set to facilitate audio deepfake detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:31.101299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63465567-50be-4349-975a-559f0d22d718 · outbound

This paper cites End-to-end anti-spoofing with RawNet2,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing End-to-end anti-spoofing with RawNet2,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:30.914040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f35e999c-3835-400d-bcc7-884dbc261b78 · outbound

This paper cites Speaker recognition from raw wave- form with sincnet,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Speaker recognition from raw wave- form with sincnet,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:30.736740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df89f165-275a-4fad-bb5c-7ec1ee593333 · outbound

This paper cites Learning without Forgetting,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Learning without Forgetting,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:30.525074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b519ceee-0e10-4d5f-88a3-2770de8035b7 · outbound

This paper cites Rie- mannian walk for incremental learning: Understanding forgetting and intransigence,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Rie- mannian walk for incremental learning: Understanding forgetting and intransigence,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:30.351882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 36a71cca-6d93-4841-9a66-25ad88e01123 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline,.

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Dark experience for general continual learning: a strong, simple baseline,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:30.195596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 568978a1-1cd0-47cd-b9e7-ff6555acd3b4 · inbound