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Paper Citation Record · LEDGER

Improving Neural Pitch Estimation with SWIPE Kernels

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2507.11233.

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

pith.paper-citation-record.v1
2507.11233 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:18:09.279791Z

measured 34 of 34 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:18:06.970433Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:18:09.363804Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7adba46-015f-4abe-aa7a-4d28551b7de2 · outbound

This paper cites Improving Neural Pitch Estimation with SWIPE Kernels.

Improving Neural Pitch Estimation with SWIPE Kernels Improving Neural Pitch Estimation with SWIPE Kernels

Reference 1

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verified exact
local_arxiv, observed 2026-08-06T17:18:09.455824Z

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.

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Observation fe51dfe0-899a-4ada-b08b-4450b354ce94 · outbound

This paper cites an unresolved cited work.

Improving Neural Pitch Estimation with SWIPE Kernels Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-06T17:18:13.395850Z

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.

source=pdf_text observed=2026-08-06T17:18:07.064890Z digest=sha256:f0552310c86a86fd36fb9818973e0411540202bd56251225243ac06b55749957

Observation 9436a961-1fa4-4049-a03a-c6b531fdeb1f · outbound

This paper cites an unresolved cited work.

Improving Neural Pitch Estimation with SWIPE Kernels Unresolved cited work

Reference 3

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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.

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Observation 0b68aea6-3d63-419b-a667-1e4e78a16cbc · outbound

This paper cites The au- dio is re-synthesized from its f0 annotations, which means that the f0 annotations are perfect.

Improving Neural Pitch Estimation with SWIPE Kernels The au- dio is re-synthesized from its f0 annotations, which means that the f0 annotations are perfect

Reference 4

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raw_fallback, observed 2026-08-06T17:18:13.210389Z

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.

source=pdf_text observed=2026-08-06T17:18:07.262109Z digest=sha256:02a42a3c118f7470d086301bf101449105ed55d9bd60ba11d7d9928a027ad179

Observation 50e28688-ff3f-4cd8-abfd-981da4b1ef5f · outbound

This paper cites tiny” refers to the Toeplitz-only encoder and “full.

Improving Neural Pitch Estimation with SWIPE Kernels tiny” refers to the Toeplitz-only encoder and “full

Reference 5

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raw_fallback, observed 2026-08-06T17:18:13.119662Z

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.

source=pdf_text observed=2026-08-06T17:18:07.340844Z digest=sha256:0f4c21ca1d06e4ae6f2a3a783afc746aa6cdbff319f0200e6b8396ae03cb8370

Observation 1a4d7de5-d317-45de-bb95-8f0c9559253e · outbound

This paper cites an unresolved cited work.

Improving Neural Pitch Estimation with SWIPE Kernels Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-06T17:18:13.003746Z

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.

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Observation 2384f375-61d3-44b2-a4ff-33e05c2baa13 · outbound

This paper cites The authors would like to thank the anonymous reviewers for their valuable feedback which significantly improved this paper.

Improving Neural Pitch Estimation with SWIPE Kernels The authors would like to thank the anonymous reviewers for their valuable feedback which significantly improved this paper

Reference 7

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raw_fallback, observed 2026-08-06T17:18:12.856837Z

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.

source=pdf_text observed=2026-08-06T17:18:07.523889Z digest=sha256:605b33a6dff66c5900df9625f664d08a19e5a27d1222124ec9c473259f28bd41

Observation 3f9b6a1d-5030-4a63-ae1d-21461892ecf8 · outbound

This paper cites Cepstrum Pitch Determination,.

Improving Neural Pitch Estimation with SWIPE Kernels Cepstrum Pitch Determination,

Reference 8

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raw_fallback, observed 2026-08-06T17:18:12.731088Z

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.

source=pdf_text observed=2026-08-06T17:18:07.626985Z digest=sha256:415a97f7fdf890d7782be46a32aeefe0f9a552cbe4e51e2fc04a24770415872c

Observation 4374c0e9-c98a-4586-866a-402f21af2477 · outbound

This paper cites Fundamental fre- quency estimation of musical signals using a two-way mismatch procedure,.

Improving Neural Pitch Estimation with SWIPE Kernels Fundamental fre- quency estimation of musical signals using a two-way mismatch procedure,

Reference 9

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raw_fallback, observed 2026-08-06T17:18:12.611360Z

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.

source=pdf_text observed=2026-08-06T17:18:07.699123Z digest=sha256:f8a3c71a98957ecb180761b947406daf488c3c752a45b38df27667f0899d540c

Observation ab86ccc8-bdca-4f77-bd32-f0625b7551a4 · outbound

This paper cites A sawtooth waveform inspired pitch estimator for speech and music,.

Improving Neural Pitch Estimation with SWIPE Kernels A sawtooth waveform inspired pitch estimator for speech and music,

Reference 10

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raw_fallback, observed 2026-08-06T17:18:12.466646Z

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.

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Observation baf6f5ab-20c2-4f8d-90a6-3bb90f588e88 · outbound

This paper cites PEFAC - A Pitch Es- timation Algorithm Robust to High Levels of Noise,.

Improving Neural Pitch Estimation with SWIPE Kernels PEFAC - A Pitch Es- timation Algorithm Robust to High Levels of Noise,

Reference 11

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raw_fallback, observed 2026-08-06T17:18:12.338789Z

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.

source=pdf_text observed=2026-08-06T17:18:07.876432Z digest=sha256:3ba8e34b6e8f475d8e963a575af93deec56abe5927be142a9fc1626a66b839bc

Observation f128b8f8-a8c8-4f70-8cec-b1fcaa1ac208 · outbound

This paper cites YIN, a Funda- mental Frequency Estimator for Speech and Music,.

Improving Neural Pitch Estimation with SWIPE Kernels YIN, a Funda- mental Frequency Estimator for Speech and Music,

Reference 12

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raw_fallback, observed 2026-08-06T17:18:12.227683Z

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.

source=pdf_text observed=2026-08-06T17:18:07.903060Z digest=sha256:657dd896f5bc9bb49cc19ac655ccdc9cc41cb9dde5939b7028506483d5a0348d

Observation d4d3ff7a-eb60-4768-a923-aa192ccb0510 · outbound

This paper cites A smarter way to find pitch,.

Improving Neural Pitch Estimation with SWIPE Kernels A smarter way to find pitch,

Reference 13

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raw_fallback, observed 2026-08-06T17:18:12.037492Z

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.

source=pdf_text observed=2026-08-06T17:18:08.007991Z digest=sha256:469b8e05c2605309985e36b05511341fbbf702087f626722bdb50a28fcef2000

Observation 0a64d0a8-8e3d-45ca-af54-e27f07d63766 · outbound

This paper cites CREPE: A Convolutional Representation for Pitch Estimation,.

Improving Neural Pitch Estimation with SWIPE Kernels CREPE: A Convolutional Representation for Pitch Estimation,

Reference 14

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raw_fallback, observed 2026-08-06T17:18:11.881020Z

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.

source=pdf_text observed=2026-08-06T17:18:08.087463Z digest=sha256:d770aac80ebe4f907bc336e8458a3a28399e624f911da1bab5f92882caac68a9

Observation f642ad03-000d-4635-9878-c27fc7468986 · outbound

This paper cites Fully-Convolutional Net- work for Pitch Estimation of Speech Signals,.

Improving Neural Pitch Estimation with SWIPE Kernels Fully-Convolutional Net- work for Pitch Estimation of Speech Signals,

Reference 15

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raw_fallback, observed 2026-08-06T17:18:11.726349Z

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.

source=pdf_text observed=2026-08-06T17:18:08.155482Z digest=sha256:00feb33db542e61ace5a70f951d109a6a90bc09af3cdcadd54d7824937ef4fed

Observation b330dc98-feb4-4557-aba5-6de1825275e4 · outbound

This paper cites Cross-domain Neural Pitch and Periodicity Estimation.

Improving Neural Pitch Estimation with SWIPE Kernels Cross-domain Neural Pitch and Periodicity Estimation

Reference 16

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unresolved
no resolver link, observed 2026-08-06T17:18:08.255066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:18:08.255066Z digest=sha256:03aa202118dd49b60079b503d2ec13669465a1a4fa38268bb7d0ea914c3528a1

Observation 87dd836e-cd2c-4058-a3ee-ef2f9dfe90f2 · outbound

This paper cites YOLOPitch: A Time-Frequency Dual-Branch YOLO Model for Pitch Estimation,.

Improving Neural Pitch Estimation with SWIPE Kernels YOLOPitch: A Time-Frequency Dual-Branch YOLO Model for Pitch Estimation,

Reference 17

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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.

source=pdf_text observed=2026-08-06T17:18:08.325071Z digest=sha256:cfaf2c70d478c11d4a49d86d63b0b2cb571f3b42f5d5f3cd729d79cb512de195

Observation 78ebf923-50e3-4543-81e7-3ea1480016f2 · outbound

This paper cites Pitch estima- tion via self-supervision,.

Improving Neural Pitch Estimation with SWIPE Kernels Pitch estima- tion via self-supervision,

Reference 18

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raw_fallback, observed 2026-08-06T17:18:11.460334Z

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.

source=pdf_text observed=2026-08-06T17:18:08.384855Z digest=sha256:b2b87c2fb13777ec06b41c312f2874995390d148b0744994a7ba62eeaeb93a8a

Observation 745ff5ce-629b-4811-910b-d0562243ab84 · outbound

This paper cites SPICE: Self- Supervised Pitch Estimation,.

Improving Neural Pitch Estimation with SWIPE Kernels SPICE: Self- Supervised Pitch Estimation,

Reference 19

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raw_fallback, observed 2026-08-06T17:18:11.316512Z

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.

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Observation e9ce7ee3-f369-4ced-ba10-4aa515fdf996 · outbound

This paper cites Self-Supervised Pitch Detection by In- verse Audio Synthesis,.

Improving Neural Pitch Estimation with SWIPE Kernels Self-Supervised Pitch Detection by In- verse Audio Synthesis,

Reference 20

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raw_fallback, observed 2026-08-06T17:18:11.233730Z

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.

source=pdf_text observed=2026-08-06T17:18:08.521088Z digest=sha256:bd7942974f1cc47d8caff1a8b16eff85e4fa728ad9d873d7cb01b247a5308f8c

Observation c69b02ba-0a52-4637-82af-567e04c89e34 · outbound

This paper cites PESTO: Pitch estimation with self-supervised transposition-equivariant objective,.

Improving Neural Pitch Estimation with SWIPE Kernels PESTO: Pitch estimation with self-supervised transposition-equivariant objective,

Reference 21

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raw_fallback, observed 2026-08-06T17:18:11.097111Z

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.

source=pdf_text observed=2026-08-06T17:18:08.603996Z digest=sha256:23817040375e964c67f91efe1b83adc0fc89f374a9ceea97ae9416e36e0c016d

Observation 8c8f7e1b-c26f-4cbd-809c-1116d904ebdd · outbound

This paper cites hf0: A Hybrid Pitch Extraction Method for Multimodal V oice,.

Improving Neural Pitch Estimation with SWIPE Kernels hf0: A Hybrid Pitch Extraction Method for Multimodal V oice,

Reference 22

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raw_fallback, observed 2026-08-06T17:18:10.924658Z

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.

source=pdf_text observed=2026-08-06T17:18:08.663186Z digest=sha256:3ea0a6520ec03024e55bd9cec655527384666a865dea614daad530e741fb5297

Observation 4197cc91-6bcc-476a-8cd1-72adc663bee1 · outbound

This paper cites HAEPF: Hybrid approach for estimating pitch frequency in the presence of reverberation,.

Improving Neural Pitch Estimation with SWIPE Kernels HAEPF: Hybrid approach for estimating pitch frequency in the presence of reverberation,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T17:18:10.823343Z

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.

source=pdf_text observed=2026-08-06T17:18:08.707988Z digest=sha256:0ec7fa9662f2a79aec624cc7f0ac5597c082608855fecb42a7f678ffa12e000b

Observation 07b82439-4874-4a9b-8f2a-86ed4d9e0d4a · outbound

This paper cites Pytorch: An imper- ative style, high-performance deep learning library,.

Improving Neural Pitch Estimation with SWIPE Kernels Pytorch: An imper- ative style, high-performance deep learning library,

Reference 24

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raw_fallback, observed 2026-08-06T17:18:10.618636Z

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.

source=pdf_text observed=2026-08-06T17:18:08.739572Z digest=sha256:f0ecbd0a52a88fa03cca4d20e7ea7d98a5373c4b1410acf7016273e60d61eaf7

Observation e902781e-771a-4bf3-ae82-d67fe6d6c1cb · outbound

This paper cites Derivation of au- ditory filter shapes from notched-noise data,.

Improving Neural Pitch Estimation with SWIPE Kernels Derivation of au- ditory filter shapes from notched-noise data,

Reference 25

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raw_fallback, observed 2026-08-06T17:18:10.549749Z

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.

source=pdf_text observed=2026-08-06T17:18:08.819206Z digest=sha256:b2c5d01b4a6378d1aaea978049eba6352548ac71dc1e57ec5d56c119d9c1249b

Observation e67a26eb-e6b5-40f2-b70a-195e26009bf1 · outbound

This paper cites SPTK4: An open-source software toolkit for speech signal processing,.

Improving Neural Pitch Estimation with SWIPE Kernels SPTK4: An open-source software toolkit for speech signal processing,

Reference 26

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raw_fallback, observed 2026-08-06T17:18:10.397928Z

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.

source=pdf_text observed=2026-08-06T17:18:08.887932Z digest=sha256:f643b3bf39110dd402535d724138168a72f4193b764fc5893c8bbb74610c19bf

Observation 9480aec3-5987-4103-95f0-dd54f95477a1 · outbound

This paper cites librosa: Audio and music signal analysis in python.

Improving Neural Pitch Estimation with SWIPE Kernels librosa: Audio and music signal analysis in python

Reference 27

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raw_fallback, observed 2026-08-06T17:18:10.279883Z

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.

source=pdf_text observed=2026-08-06T17:18:08.961696Z digest=sha256:bf39198dddadccbee5593fb45a351e0f372a957a6d3b147a890a39cde9a518c6

Observation feb7801b-5d80-4b77-bfaa-e9b3f8cb45d8 · outbound

This paper cites An analysis/synthesis framework for automatic f0 annotation of multitrack datasets.

Improving Neural Pitch Estimation with SWIPE Kernels An analysis/synthesis framework for automatic f0 annotation of multitrack datasets

Reference 28

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raw_fallback, observed 2026-08-06T17:18:10.185777Z

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.

source=pdf_text observed=2026-08-06T17:18:08.992587Z digest=sha256:091a154e2aa09ff71eb8d95249223a4fbd61e06db50e19df7365fec64e20c45b

Observation 0d8287dc-54ae-4958-b3ea-d89128f0e30a · outbound

This paper cites A pitch tracking corpus with evaluation on multip- itch tracking scenario.

Improving Neural Pitch Estimation with SWIPE Kernels A pitch tracking corpus with evaluation on multip- itch tracking scenario

Reference 29

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raw_fallback, observed 2026-08-06T17:18:10.036445Z

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.

source=pdf_text observed=2026-08-06T17:18:09.022702Z digest=sha256:d89504b18e35abca044d42c3fa748b589ca73ebd27c88f06c267022cbcc27e15

Observation a70f90a1-b38e-4a24-9794-0d55b9c4ae02 · outbound

This paper cites On the improvement of singing voice separation for monaural recordings us- ing the mir-1k dataset,.

Improving Neural Pitch Estimation with SWIPE Kernels On the improvement of singing voice separation for monaural recordings us- ing the mir-1k dataset,

Reference 30

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raw_fallback, observed 2026-08-06T17:18:09.948820Z

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.

source=pdf_text observed=2026-08-06T17:18:09.073992Z digest=sha256:53a54d9cf4bb76cb3ba88368e0ee0caa585cc5fadda022091a3c26566cb55a8f

Observation 0b9154e5-950a-4b2c-ad4d-6a94aa1ba496 · outbound

This paper cites pYIN: A fundamental fre- quency estimator using probabilistic threshold distri- butions,.

Improving Neural Pitch Estimation with SWIPE Kernels pYIN: A fundamental fre- quency estimator using probabilistic threshold distri- butions,

Reference 31

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raw_fallback, observed 2026-08-06T17:18:09.787121Z

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.

source=pdf_text observed=2026-08-06T17:18:09.137188Z digest=sha256:56447d33fc6e0dac116fc7d89f730b65a7aed4840f74fd41853b6e34fd5cb5d9

Observation 2a9671b8-38c8-4074-823c-3f74a005a6c2 · outbound

This paper cites Mir_eval: A transparent implementation of common mir metrics.

Improving Neural Pitch Estimation with SWIPE Kernels Mir_eval: A transparent implementation of common mir metrics

Reference 32

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raw_fallback, observed 2026-08-06T17:18:09.667367Z

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.

source=pdf_text observed=2026-08-06T17:18:09.207050Z digest=sha256:3d59114c45353086dab9032f42c8aa5d387abaaa6b0b3e9e0b6f560cebe33fcf

Observation c5db2ac5-1b0e-43dd-b933-dfe344159437 · outbound

This paper cites Adam: A method for stochastic optimization,.

Improving Neural Pitch Estimation with SWIPE Kernels Adam: A method for stochastic optimization,

Reference 33

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raw_fallback, observed 2026-08-06T17:18:09.587654Z

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.

source=pdf_text observed=2026-08-06T17:18:09.279791Z digest=sha256:8250cb4837eb9f76a100dacff68858104a6ab63e5d845d923544c8a32e8f6881

Pith citing papers

Observation b7adba46-015f-4abe-aa7a-4d28551b7de2 · inbound

Improving Neural Pitch Estimation with SWIPE Kernels cites this paper.

Improving Neural Pitch Estimation with SWIPE Kernels Improving Neural Pitch Estimation with SWIPE Kernels

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:18:09.455824Z

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.

source=pdf_text observed=2026-08-06T17:18:06.970433Z digest=sha256:12466feecfb0b5522ab35b90dad946e00924013d09ef60df28f218fd461f2a63