Paper Citation Record · LEDGER

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding

As of 23 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2505.20176.

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

pith.paper-citation-record.v1
2505.20176 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:01:03.543260Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:00:59.766985Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:01:03.973175Z

Reference resolution

39 of 39 outbound references displayed

verified exact1
verified fuzzy23
unresolved14
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3beea608-bb94-48f9-9043-8a12cc92cc81 · outbound

This paper cites an unresolved cited work.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:01:09.778663Z

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Observation 2f214c73-86ed-40cd-94dc-8094416eee32 · outbound

This paper cites "KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding "KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding

Reference 2

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Observation 5e75dc0d-438d-4dbf-96db-470c074af2ec · outbound

This paper cites The baseline architecture (FFF in Fig.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding The baseline architecture (FFF in Fig

Reference 3

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Observation 92d2dda8-5bc6-44c9-8bbc-77839ac06125 · outbound

This paper cites an unresolved cited work.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Unresolved cited work

Reference 4

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"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Unresolved cited work

Reference 5

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Observation 4ce3815d-03bc-4699-b644-41bd954fd0a8 · outbound

This paper cites an unresolved cited work.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Unresolved cited work

Reference 6

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Observation cd8a44a6-ffd5-4dc2-bff2-a84b1242e64f · outbound

This paper cites FutureHPC & BigData.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding FutureHPC & BigData

Reference 7

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Observation 0ff365d2-d49b-48c9-a955-a44134ae0f78 · outbound

This paper cites KAN: Kolmogorov–arnold networks,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding KAN: Kolmogorov–arnold networks,

Reference 8

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This paper cites an unresolved cited work.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Unresolved cited work

Reference 9

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Observation 055f4c14-0707-42fb-8a7b-34db755148e9 · outbound

This paper cites On the representation of continuous functions of many variables by superposition of continuous functions of one vari- able and addition,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding On the representation of continuous functions of many variables by superposition of continuous functions of one vari- able and addition,

Reference 10

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Observation 33b14a98-1e77-4f24-ab77-28fd31a088a6 · outbound

This paper cites On a constructive proof of kol- mogorov’s superposition theorem,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding On a constructive proof of kol- mogorov’s superposition theorem,

Reference 11

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Observation dae67b22-35f5-4dec-975d-dab44a0616cf · outbound

This paper cites KAN or MLP: A Fairer Comparison.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding KAN or MLP: A Fairer Comparison

Reference 12

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Observation e1246b22-0ac4-40c1-a4a8-2319903136a1 · outbound

This paper cites A benchmarking study of kolmogorov-arnold networks on tabular data,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding A benchmarking study of kolmogorov-arnold networks on tabular data,

Reference 13

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Observation 3f04c782-ee29-408f-9dcb-9895bd4c5844 · outbound

This paper cites Suitability of KANs for Computer Vision: A preliminary investigation.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Suitability of KANs for Computer Vision: A preliminary investigation

Reference 14

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Source-reported events for the cited work

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Observation bfb3691a-cb65-4c99-87d3-d3ac6413ba90 · outbound

This paper cites Kan you see it? kans and sentinel for effective and explainable crop field segmentation,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Kan you see it? kans and sentinel for effective and explainable crop field segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:07.418872Z

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Observation 2764955e-a576-44d8-9d14-e42b45a2c509 · outbound

This paper cites U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Reference 16

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Observation 0751ff29-c586-4350-a301-f7cdfed990aa · outbound

This paper cites Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability

Reference 17

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Source-reported events for the cited work

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Observation 1f7337bd-9c2b-4531-8a6a-4c73df880c91 · outbound

This paper cites Are KANs Effective for Multivariate Time Series Forecasting?.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Are KANs Effective for Multivariate Time Series Forecasting?

Reference 18

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Source-reported events for the cited work

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This paper cites Tur and R.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Tur and R

Reference 19

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Observation 4386b3ab-4447-4c40-9638-2230793d32da · outbound

This paper cites A con- trastive learning approach to mitigate bias in speech models,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding A con- trastive learning approach to mitigate bias in speech models,

Reference 20

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Observation 0b6e7016-f25b-45fd-bb32-771b19c0ba10 · outbound

This paper cites Towards end-to-end spoken language understanding,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Towards end-to-end spoken language understanding,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:06.723956Z

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Observation 5ab0bba2-3eb8-4946-8646-ae18e6bd2a2d · outbound

This paper cites Prioritizing data acquisition for end-to-end speech model improvement,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Prioritizing data acquisition for end-to-end speech model improvement,

Reference 22

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Observation cac8ec6c-4017-4627-9d1e-1069473b2943 · outbound

This paper cites Spoken language understanding on the edge,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Spoken language understanding on the edge,

Reference 23

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This paper cites Effective integration of kan for keyword spotting,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Effective integration of kan for keyword spotting,

Reference 24

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Observation a6e4b9d0-cd11-4da1-a15e-951b571944b1 · outbound

This paper cites From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology

Reference 25

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"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Speech model pre-training for end-to-end spoken language understanding,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:05.703431Z

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Observation 9c66d4f0-919f-4dcc-9bdb-2aff673029ef · outbound

This paper cites Timers and such: A practical benchmark for spoken language un- derstanding with numbers,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Timers and such: A practical benchmark for spoken language un- derstanding with numbers,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:05.532437Z

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Observation 76e8df95-a147-41ff-99be-a7e0ef9141c1 · outbound

This paper cites Introduction to radial basis function networks,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Introduction to radial basis function networks,

Reference 28

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This paper cites Kolmogorov-Arnold Networks are Radial Basis Function Networks.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Kolmogorov-Arnold Networks are Radial Basis Function Networks

Reference 29

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"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Fasterkan,

Reference 30

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This paper cites Properties of Chebyshev polynomials.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Properties of Chebyshev polynomials

Reference 31

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"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Kolmogorov-Arnold Transformer

Reference 32

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This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:05.027569Z

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This paper cites Xls-r: Self- supervised cross-lingual speech representation learning at scale,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Xls-r: Self- supervised cross-lingual speech representation learning at scale,

Reference 34

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Observation c1df1ea3-26d6-42d5-8973-2471c322ef84 · outbound

This paper cites SLURP: A spoken language understanding resource package,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding SLURP: A spoken language understanding resource package,

Reference 35

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This paper cites ITALIC: An Italian In- tent Classification Dataset,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding ITALIC: An Italian In- tent Classification Dataset,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:04.659822Z

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Observation 5547863d-f60e-4279-9e13-047a6e494e66 · outbound

This paper cites Speech-massive: A multilingual speech dataset for slu and be- yond,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Speech-massive: A multilingual speech dataset for slu and be- yond,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:04.503457Z

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Observation b247afdc-0cc7-4df2-a7d9-157b38f5cfc2 · outbound

This paper cites Explaining speech classification models via word-level au- dio segments and paralinguistic features,.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Explaining speech classification models via word-level au- dio segments and paralinguistic features,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:04.367509Z

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Observation b47c2619-2700-4152-87f7-95b141d0ccd3 · outbound

This paper cites Towards faithfully interpretable NLP systems: How should we define and evaluate faithfulness?.

"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding Towards faithfully interpretable NLP systems: How should we define and evaluate faithfulness?

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:01:04.231133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 2f214c73-86ed-40cd-94dc-8094416eee32 · inbound