Paper Citation Record · LEDGER

Domain-incremental audio classification using domain-specific experts and prototype classifier

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2606.22952.

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

pith.paper-citation-record.v1
2606.22952 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T07:32:09.956510Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T07:32:09.956510Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T11:49:50.947477Z

Reference resolution

18 of 18 outbound references displayed

verified exact4
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 611813a5-10b9-4d5d-9047-a40feaef4d59 · outbound

This paper cites The model is evalu- ated after all three stages over a fixed set of 10 target classes (alarm, baby cry,bark,engine,fire,footsteps,knock,telephone ringing,pi- ano,speech).

Domain-incremental audio classification using domain-specific experts and prototype classifier The model is evalu- ated after all three stages over a fixed set of 10 target classes (alarm, baby cry,bark,engine,fire,footsteps,knock,telephone ringing,pi- ano,speech)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0168bdb2-a15a-49c2-a677-f0daf74c0e1a · outbound

This paper cites Domain-incremental audio classification using domain-specific experts and prototype classifier.

Domain-incremental audio classification using domain-specific experts and prototype classifier Domain-incremental audio classification using domain-specific experts and prototype classifier

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:49:50.948683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09900b44-ff9d-4103-b034-36892e32afda · outbound

This paper cites Experimental settings We use the DCASE 2026 Task 7 DIL dataset: three domains pre- sented in sequence over the ten target classes, withD 1 audio with- held andD 2/D3 audio provided.

Domain-incremental audio classification using domain-specific experts and prototype classifier Experimental settings We use the DCASE 2026 Task 7 DIL dataset: three domains pre- sented in sequence over the ten target classes, withD 1 audio with- held andD 2/D3 audio provided

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 461b2da0-7075-458e-b0b5-aca247160968 · outbound

This paper cites The main factors con- tributing to the final performance are the diversity of each back- bone’s expert model and prototype classifier that enables them to collaborate.

Domain-incremental audio classification using domain-specific experts and prototype classifier The main factors con- tributing to the final performance are the diversity of each back- bone’s expert model and prototype classifier that enables them to collaborate

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b51cac7c-00de-4cad-af23-2d87841db6a8 · outbound

This paper cites Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task.

Domain-incremental audio classification using domain-specific experts and prototype classifier Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:49:50.951043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f378d24-5802-414c-8563-eed4fedacbbf · outbound

This paper cites Catastrophic forgetting in connectionist net- works,.

Domain-incremental audio classification using domain-specific experts and prototype classifier Catastrophic forgetting in connectionist net- works,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd88d36-6e30-4256-822c-d471dc0b1572 · outbound

This paper cites Expert gate: Lifelong learning with a network of experts,.

Domain-incremental audio classification using domain-specific experts and prototype classifier Expert gate: Lifelong learning with a network of experts,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 016787ee-8aec-4fdd-8655-940208341667 · outbound

This paper cites Dreaming to distill: Data-free knowledge transfer via deepinversion,.

Domain-incremental audio classification using domain-specific experts and prototype classifier Dreaming to distill: Data-free knowledge transfer via deepinversion,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef3cbcb-5318-4f24-bdc1-b1aa16d2c1f2 · outbound

This paper cites Prototypical networks for few- shot learning,.

Domain-incremental audio classification using domain-specific experts and prototype classifier Prototypical networks for few- shot learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a40f12f-4cb5-44c8-b5a6-4e85dfb013a5 · outbound

This paper cites Improving reproducibility by controlling random seed stability in machine learning based estimation via bagging.

Domain-incremental audio classification using domain-specific experts and prototype classifier Improving reproducibility by controlling random seed stability in machine learning based estimation via bagging

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:49:50.946289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df806abe-0f28-4105-aa29-2fb5637eaf80 · outbound

This paper cites PANNs: Large-scale pretrained audio neural net- works for audio pattern recognition,.

Domain-incremental audio classification using domain-specific experts and prototype classifier PANNs: Large-scale pretrained audio neural net- works for audio pattern recognition,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cd50fdc-18da-4c30-a78b-7ca5b6ebabbc · outbound

This paper cites Frequency dynamic convolution: Frequency-adaptive pattern recognition for sound event detection,.

Domain-incremental audio classification using domain-specific experts and prototype classifier Frequency dynamic convolution: Frequency-adaptive pattern recognition for sound event detection,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de7bc503-d82b-40bb-97f1-b22fa6bb43a9 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Domain-incremental audio classification using domain-specific experts and prototype classifier Rethinking the inception architecture for computer vision,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d44dbb-64a1-4eb9-b121-67cf9448c30b · outbound

This paper cites Facenet: A uni- fied embedding for face recognition and clustering,.

Domain-incremental audio classification using domain-specific experts and prototype classifier Facenet: A uni- fied embedding for face recognition and clustering,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e179c700-a2c5-4f49-8b16-291a4587ced3 · outbound

This paper cites A Comprehensive Survey of Continual Learning: Theory, Method and Application.

Domain-incremental audio classification using domain-specific experts and prototype classifier A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:49:50.943567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e2a26e26-f3c6-4ac1-a395-dcd03828adee · outbound

This paper cites NormFace: L2 hypersphere embedding for face verification,.

Domain-incremental audio classification using domain-specific experts and prototype classifier NormFace: L2 hypersphere embedding for face verification,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 253a325f-335e-4f15-a6d9-c9a070fb96c5 · outbound

This paper cites Psla: Improving au- dio tagging with pretraining, sampling, labeling, and aggre- gation,.

Domain-incremental audio classification using domain-specific experts and prototype classifier Psla: Improving au- dio tagging with pretraining, sampling, labeling, and aggre- gation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b9517d-c7bd-41a8-b28d-b1aba9aea5d5 · outbound

This paper cites Domain-incremental learning for audio classification,.

Domain-incremental audio classification using domain-specific experts and prototype classifier Domain-incremental learning for audio classification,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T07:32:09.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0168bdb2-a15a-49c2-a677-f0daf74c0e1a · inbound