Pith. sign in

Paper Citation Record · LEDGER

Transformer-based End-to-End Control Filter Generation for Active Noise Control

As of 6 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2605.00494.

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

pith.paper-citation-record.v1
2605.00494 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T19:03:51.432930Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7708750c-045b-41ac-8d9b-d66dd5a4c974 · outbound

This paper cites an unresolved cited work.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-25T22:16:18.063564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:05c5161896943396fb42ae50e59aa68243944395422b29fb646f2a11e9f4015d

Observation d7c178ec-c692-4946-8373-ca4904a7dd95 · outbound

This paper cites an unresolved cited work.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-25T22:16:18.052258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:eb5a848a4744de890544ee2db90d8b48e9a30ab633cf5f1c21b313db9e3e1b53

Observation 684b1f71-1574-488c-b4a9-da794f4b630d · outbound

This paper cites Active control of sound transmission through a floor-level slit.The Journal of the Acoustical Society of America, 154(5):2746–2756.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Active control of sound transmission through a floor-level slit.The Journal of the Acoustical Society of America, 154(5):2746–2756

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.060162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:650dae4a4ab57af8a4891deb64b4a81305aca38cdb9056d196de5f6432b4ca4a

Observation 46ad5fab-bc00-411e-9a70-e876d8f4e367 · outbound

This paper cites Kuo and Dennis R.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Kuo and Dennis R

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.056107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:07aabeab08a341ba1608b8e4f606cb056d87f774e8bee457dac19503f4e13888

Observation bb705830-1e52-4453-a787-4c6077549665 · outbound

This paper cites Mixed-gradients distributed filtered reference least mean square algorithm–a robust distributed multichannel active noise control algorithm.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Mixed-gradients distributed filtered reference least mean square algorithm–a robust distributed multichannel active noise control algorithm

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.044672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:4424c3f5a8474b05766f75b4881fc194d0779c9f279845f4ebb237cf69e8083e

Observation 2eaa3951-568f-4ed9-854f-76c06c1b3be1 · outbound

This paper cites an unresolved cited work.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-25T22:16:18.039230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:253af7977bdfd4981a10f4a31061180f80f9b5146e464d12c4b6bcb8d98df7ea

Observation ce76719f-4bc9-4da3-8388-d5467453162b · outbound

This paper cites an unresolved cited work.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-25T22:16:18.109010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:863154c228bee61bc49dccc47e6858bef006a8d2a3076c291b9a609f14e10280

Observation 16a8b960-200d-40b1-a0ad-65e5f0a3d9cd · outbound

This paper cites Elliott.Signal Processing for Active Control.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Elliott.Signal Processing for Active Control

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.105503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:cabfe591f32aecc3d8b547defdb3089a655c8c5dcb7343d6ca98328021be22a9

Observation 057d6310-fd6c-42ab-826e-9688b602913c · outbound

This paper cites Computationally efficient fixed-filter ANC for speech based on long-term prediction for headphone applications.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Computationally efficient fixed-filter ANC for speech based on long-term prediction for headphone applications

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.125379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:009d2e49c915c3ec562ebb80333ba0f34fd74b0271f82a3b1116d7bd812d373b

Observation 87f0bac7-8987-48e5-8d62-3a5ba877386b · outbound

This paper cites Non- stationary prediction for addressing the non-causality problem in fixed-filter ANC headphones for speech reduction.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Non- stationary prediction for addressing the non-causality problem in fixed-filter ANC headphones for speech reduction

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.101512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:f36d99c9663767b0057590baa6a82937d6349aa00c6f3d455b50df8b9e4a96b8

Observation 577e6419-31ad-4c13-8ab8-6a39ba5f60ca · outbound

This paper cites Adaptive-gain algorithm on the fixed filters applied for active noise control headphone.Mechanical Systems and Signal Processing, 169:108641.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Adaptive-gain algorithm on the fixed filters applied for active noise control headphone.Mechanical Systems and Signal Processing, 169:108641

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.097242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:0f7584ac3b6e8cad3fdfbd8f38b590bfa1e3870c725acf3b028c1b0bc374cd2e

Observation bd283979-6f27-4508-aa86-34a542664ad6 · outbound

This paper cites Feedforward selective fixed-filter active noise control: Algorithm and implementation.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1479–1492.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Feedforward selective fixed-filter active noise control: Algorithm and implementation.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1479–1492

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.088920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:bafa5eab28ff659b13e41734c3505a67a6c89904decdaa5e5e21e6087e4517c0

Observation 11e246c1-05c0-4242-b37c-706ab53514ce · outbound

This paper cites Selective fixed- filter active noise control based on convolutional neural network.Signal Processing, 190:108317.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Selective fixed- filter active noise control based on convolutional neural network.Signal Processing, 190:108317

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.121298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:93e8edc1a502e718cbad68fce702d2caa1730b5e3a06bac8104431ea97260bd3

Observation 736d1a3f-2bf4-4019-9b05-344a37a6c3ce · outbound

This paper cites A hybrid SFANC-FxNLMS algorithm for active noise control based on deep learning.IEEE Signal Processing Letters, 29:1102–1106.

Transformer-based End-to-End Control Filter Generation for Active Noise Control A hybrid SFANC-FxNLMS algorithm for active noise control based on deep learning.IEEE Signal Processing Letters, 29:1102–1106

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.137978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:2f4c5fb363cff9ef7e17bb5c6796f06909150f2f87d68bc107ef8877a2e9c0c9

Observation 6d46e798-e391-4df2-a4db-13798aade4f4 · outbound

This paper cites an unresolved cited work.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-25T22:16:18.084520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:06d0b04b3305ce42849fbdf87e0019a0444bf2cd944b1c2fcec6d0b4f8015af1

Observation 6a377379-a2d7-4f9b-9fec-078d619e48fc · outbound

This paper cites GFANC-Kalman: Generative fixed-filter active noise control with CNN-Kalman filtering.IEEE Signal Processing Letters, 31:276–280.

Transformer-based End-to-End Control Filter Generation for Active Noise Control GFANC-Kalman: Generative fixed-filter active noise control with CNN-Kalman filtering.IEEE Signal Processing Letters, 31:276–280

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.071801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:bb117fe71f46b5b465af882bd45daba531108853b9979c358a6a965a2b914b7f

Observation df7ad5fa-ff12-4ac7-8c56-f198d54ef6ad · outbound

This paper cites Unsupervised learning based end-to-end delayless generative fixed-filter active noise control.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Unsupervised learning based end-to-end delayless generative fixed-filter active noise control

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.112552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:73f98780772b586ed2c7bac1dca555233000d7947bd443f90819e9b83254cc91

Observation 64cd152e-3112-4d77-a9e5-32fdcd588523 · outbound

This paper cites Deep ANC: A deep learning approach to active noise control.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Deep ANC: A deep learning approach to active noise control

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.116506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:cf0b49d8c1816f5eca2715dab593711957ee8794d3707f6b3142264da4358c00

Observation 7e8ab546-7778-415f-9486-5207d75fbd2b · outbound

This paper cites Low-latency active noise control using attentive recurrent network.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31:1114–1123.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Low-latency active noise control using attentive recurrent network.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31:1114–1123

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.093146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:5188c28435f6542f7a0baefa979fae43da47a27bd0000fdbc0a4ce6034ef7a37

Observation da58d4fd-4737-4d7f-8992-de7f2f4bed7b · outbound

This paper cites Wavenet-volterra neural network for active noise control: A fully causal approach.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Wavenet-volterra neural network for active noise control: A fully causal approach

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.141976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:beb907f8d6541d48cc1d80fad99ae8f3a29cbccdd1b856826a23e0121a7d9969

Observation 3579ba91-4a3b-4b2e-b33b-a848a94bc286 · outbound

This paper cites Transferable selective virtual sensing active noise control technique based on metric learning.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Transferable selective virtual sensing active noise control technique based on metric learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.080956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:2c66f7c2d71fe352f3ae47765aecc649c1e73737362ed1ccb900cf5cfa8f8682

Observation 0664fc66-9957-44df-af70-9fdd9106c0eb · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.129576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:680b9ffa2bdcb09e2063e5a2e5cf059d79d3a23cce1906261aa3d73007926c33

Observation ff177fcf-4a8c-447e-b96d-db45d086f592 · outbound

This paper cites Conformer: Convolution- augmented Transformer for Speech Recognition.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Conformer: Convolution- augmented Transformer for Speech Recognition

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.133456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:c602d524e013a169707c6d8015505eaadb38403da36b9112192760fe822833e5

Observation c7bad126-8e3c-4e77-9937-1afae561e1b6 · outbound

This paper cites Attention is all you need in speech separation.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Attention is all you need in speech separation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.067512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:97c3bf4523673520caf1e8ef353dd60fb244c8c0f87ba52ff69503bbb336de09

Observation 65146133-621f-4d41-aafb-8e05234f0f12 · outbound

This paper cites Deep learning-based generative fixed-filter active noise control: Transferability and implementation.Mechanical Systems and Signal Processing, 238:113207.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Deep learning-based generative fixed-filter active noise control: Transferability and implementation.Mechanical Systems and Signal Processing, 238:113207

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T22:16:18.076688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:06fb5a85dd5b36c8e59f9abf2eafb5f2de06ebe722e7e67e2320166f9b482c66

Observation 72916009-02e6-4659-8895-ec35cb23254b · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Transformer-based End-to-End Control Filter Generation for Active Noise Control Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-11T15:56:07.798359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:03:51.432930Z digest=sha256:1b85b3baea39d74dc58b722fc271668c659c94688e4d29534a8ca9840aaaa125

Pith citing papers

No inbound Pith citation observations are available.