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Paper Citation Record · LEDGER

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement

As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.26607.

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

pith.paper-citation-record.v1
2607.26607 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:29:25.696793Z

measured 26 of 26 standing notices

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

26 of 26 outbound references displayed

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Outbound references

Observation d5fec0b0-e207-4867-9d13-7110d453f2a4 · outbound

This paper cites Few-shot class-incremental audio classification with adaptive mitigation of forgetting and overfitting,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Few-shot class-incremental audio classification with adaptive mitigation of forgetting and overfitting,

Reference 1

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Observation efc5fe74-67b7-4439-a0b8-878a38cf87c6 · outbound

This paper cites Fully few-shot class- incremental audio classification with adaptive improvement of stability and plasticity,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Fully few-shot class- incremental audio classification with adaptive improvement of stability and plasticity,

Reference 2

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Observation a926ac59-4aae-47c7-b254-d76e9151e947 · outbound

This paper cites Few-shot class- incremental audio classification using pseudo-incrementally trained em- bedding learner and continually updated stochastic classifier,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Few-shot class- incremental audio classification using pseudo-incrementally trained em- bedding learner and continually updated stochastic classifier,

Reference 3

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Observation 484d8f83-f5cc-4feb-977c-11ea619722af · outbound

This paper cites Few-shot class-incremental audio classification using dynamically expanded classifier with self- attention modified prototypes,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Few-shot class-incremental audio classification using dynamically expanded classifier with self- attention modified prototypes,

Reference 4

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Observation cf4002d3-c0ca-43f2-b031-403276889cd7 · outbound

This paper cites Information maximization for few-shot learning,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Information maximization for few-shot learning,

Reference 5

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Observation 10532b10-fd85-4909-936e-0e660f3144a9 · outbound

This paper cites Prototype rectification for few-shot learning,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Prototype rectification for few-shot learning,

Reference 6

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Observation 0d7135a8-abac-42ac-9352-06c4e0954dd7 · outbound

This paper cites Open-set likelihood maximization for few-shot learning,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Open-set likelihood maximization for few-shot learning,

Reference 7

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source=pdf_text observed=2026-08-01T12:29:23.008126Z digest=sha256:0c12e0c7afbf273e1122ecd0115dac0590b429375cddb999788d54eda1291043

Observation 9f198799-8f2b-4819-9309-f93ca1a9f143 · outbound

This paper cites EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits

Reference 8

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Observation 01f6a4db-e084-4a98-a72f-9422ef39f992 · outbound

This paper cites Tnpnet: An approach to few-shot open-set recognition via contextual transductive learning,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Tnpnet: An approach to few-shot open-set recognition via contextual transductive learning,

Reference 9

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source=pdf_text observed=2026-08-01T12:29:23.206980Z digest=sha256:ad95d3097e47a00101545f2ab63b23e5482734855f04b2326b045b7858e8a7ed

Observation a22503a0-ba1f-49e1-9290-dc96510ccf5c · outbound

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

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Prototypical networks for few- shot learning,

Reference 10

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Observation 44bba32d-9dd6-4a05-9f7f-021f6a9ded55 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 11

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Observation 1ca35057-9436-4fe7-987b-a5fbf4139033 · outbound

This paper cites Rethink- ing few-shot image classification: A good embedding is all you need?.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Rethink- ing few-shot image classification: A good embedding is all you need?

Reference 12

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Observation e8b61a94-5856-4691-93e5-bf03f51f6f1d · outbound

This paper cites Overall positive prototype for few-shot open- set recognition,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Overall positive prototype for few-shot open- set recognition,

Reference 13

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Observation e8b7d5fd-4149-4e2c-bd86-91b8c7c9bf13 · outbound

This paper cites Meta evidential transformer for few-shot open-set recognition,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Meta evidential transformer for few-shot open-set recognition,

Reference 14

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Observation 8e7be1ac-d421-4193-bf62-383a3549ab92 · outbound

This paper cites Glocal energy-based learning for few-shot open-set recognition,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Glocal energy-based learning for few-shot open-set recognition,

Reference 15

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source=pdf_text observed=2026-08-01T12:29:24.123814Z digest=sha256:967bc66051b17082aaec64d1c1c51b93bf05ebae275f90f737bfa2e9f438e31e

Observation f566f5f3-690f-46a2-bd7e-505643089f2a · outbound

This paper cites Task-adaptive negative envision for few-shot open-set recognition,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Task-adaptive negative envision for few-shot open-set recognition,

Reference 16

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source=pdf_text observed=2026-08-01T12:29:24.363249Z digest=sha256:4e4d9ab1a69cc3f6cb2d9d90ed6cd2c5244f2643430695b9d4bed51d9f91f538

Observation d4cd0763-3a29-4676-97c8-118f4c9167f4 · outbound

This paper cites Few-shot open- set audio classification using attention information-fused prototypes,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Few-shot open- set audio classification using attention information-fused prototypes,

Reference 17

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source=pdf_text observed=2026-08-01T12:29:24.498418Z digest=sha256:786498539035c8e85a2edf2d90df0ff2537cb48e39709ae9bbe1d12e0b2be8b4

Observation 565b1abc-c738-4346-bca6-b5777c73dc36 · outbound

This paper cites Few-shot open-set keyword spotting with multi-stage training,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Few-shot open-set keyword spotting with multi-stage training,

Reference 18

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Observation 2983eee5-541b-42e5-ad70-e64387f4e59a · outbound

This paper cites Few-shot open-set learning for on-device customization of keyword spotting systems,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Few-shot open-set learning for on-device customization of keyword spotting systems,

Reference 19

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Observation a0c10d2f-9b64-4f92-9341-b230cf8084b3 · outbound

This paper cites Cross- domain few-shot open-set keyword spotting using keyword adaptation and prototype reprojection,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Cross- domain few-shot open-set keyword spotting using keyword adaptation and prototype reprojection,

Reference 20

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Observation 107012a9-9dac-4abf-9001-809cab0014ab · outbound

This paper cites Esc: Dataset for environmental sound classification,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Esc: Dataset for environmental sound classification,

Reference 21

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Observation 5f705409-7bf7-4aba-ab4d-1f55330026ca · outbound

This paper cites General-purpose tagging of freesound audio with audioset labels,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement General-purpose tagging of freesound audio with audioset labels,

Reference 22

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Observation 9ffab29f-0597-43ea-95bd-bc51b4114d47 · outbound

This paper cites A dataset and taxonomy for urban sound research,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement A dataset and taxonomy for urban sound research,

Reference 23

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Observation 91c1f44d-32ab-4712-bb8f-0bd8bb0f81b0 · outbound

This paper cites Audio set: An ontology and human-labeled dataset for audio events,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Audio set: An ontology and human-labeled dataset for audio events,

Reference 24

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Observation 81ece37c-0eca-4d22-a8ec-b0542b469eeb · outbound

This paper cites Model-Agnostic Few-Shot Open-Set Recognition.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Model-Agnostic Few-Shot Open-Set Recognition

Reference 25

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Observation c1d2d9d2-f070-4aa4-922e-39c66717f555 · outbound

This paper cites Ast: Audio spectrogram trans- former,.

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement Ast: Audio spectrogram trans- former,

Reference 26

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Pith citing papers

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