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Paper Citation Record · LEDGER

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2506.05593.

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

pith.paper-citation-record.v1
2506.05593 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:16:33.552630Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:16:30.208805Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:16:33.853938Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e5ce57f-55ba-49b9-af74-d2db7e7151cd · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-08-07T10:16:36.377745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1e95f855-b30a-498b-9bba-a3ce8de28ad5 · outbound

This paper cites Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling

Reference 2

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metadata mismatch
local_arxiv, observed 2026-08-07T10:16:33.902995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dbfe2cda-10d4-4303-920c-b4e61968d311 · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-07T10:16:36.363194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 48a02870-1c6b-4b55-a79b-e70841bb43bb · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:30.487195Z digest=sha256:180104d10dad898f9a3255924636e71d7d84a9d93f8e272369b617f041e345e0

Observation 14105fd4-45e0-443d-b208-6f92177e7cbc · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-07T10:16:36.264261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 069f2450-c65b-4787-8282-dcfd14820b45 · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-08-07T10:16:36.320116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ef32f764-5803-48ef-ad30-5f34cd144d85 · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-07T10:16:36.306472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:30.876449Z digest=sha256:97745bff69b73566b421d30eb2972a9db622f8b6ff79b7286ae379d47ef1f2ce

Observation 939ec510-7fd5-4e51-8038-cbfa9dd1773b · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:16:36.292848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:31.016556Z digest=sha256:a5aa6ec4216c96210fb0399e6f6518b0d8d37266176feea2c8c3d0fbaa55ffb1

Observation 60c895a0-952e-4458-bd58-e95469d0cabb · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:16:36.278694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:31.152414Z digest=sha256:24569d766267df8424aa44fe7102c6e873353b365790d2b190e024356d81c27c

Observation b76f47c0-8636-4027-a2ec-1dfd50246fcd · outbound

This paper cites Unsu- pervised methods for speaker diarization: An integrated and iterative approach,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unsu- pervised methods for speaker diarization: An integrated and iterative approach,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.080725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation df718cb1-88f1-4747-9905-36f93e3c75a2 · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 11

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unresolved
raw_fallback, observed 2026-08-07T10:16:36.249999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:31.356403Z digest=sha256:e23d0ed9b0ef2d6478f692e3f7cba5ed1db9a7daf0fd5a0366c309c36bae7ede

Observation 013ba2c7-e583-483e-87db-bcb0b59d7317 · outbound

This paper cites an unresolved cited work.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Unresolved cited work

Reference 12

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T10:16:36.235862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:31.545950Z digest=sha256:a7c3d78be95afb6aa9172162135db60fd7c3786967663e8e81661d4be5daf7f5

Observation 0a351dda-1047-4369-b82c-c72f568fb113 · outbound

This paper cites Additionally we updated parts of the model with modern attentive layers as well as introduced temporal inductive bias.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Additionally we updated parts of the model with modern attentive layers as well as introduced temporal inductive bias

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.221337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:31.652001Z digest=sha256:0ec0c7ca584ff6038990cb5685f1e24072041f3b13cf9ddcaf8f6b073c30880b

Observation 3b630b46-40ae-46df-ac9a-f5ebaf555df8 · outbound

This paper cites An overview of au- tomatic speaker diarization systems,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling An overview of au- tomatic speaker diarization systems,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.207118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:31.751262Z digest=sha256:8cf6364fc5e08f046f2662c2e8faac31a3620d25b3cbc6c2150a7b27c65a8ac6

Observation 0b78b67c-9fc4-4c10-9214-cd7477031efe · outbound

This paper cites Overlap in meetings: Asr effects and analysis by dialog factors, speakers, and col- lection site,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Overlap in meetings: Asr effects and analysis by dialog factors, speakers, and col- lection site,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.192587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:31.840728Z digest=sha256:c3946c05020a413ddcbd84b20b9097a8008a866da1658662d84cc432e2798dc8

Observation b47afaf1-e3f8-4b47-86c1-38f505ee7bc4 · outbound

This paper cites Guided source separation meets a strong asr backend: Hitachi/paderborn university joint investigation for din- ner party scenario,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Guided source separation meets a strong asr backend: Hitachi/paderborn university joint investigation for din- ner party scenario,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.178883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:31.910682Z digest=sha256:b0a3aff8c6fc9a6be4c1ed53015a058dc29cc86f46bc7da3d3f0faa3b98b4580

Observation c7c162cc-18f9-49c4-a6f9-8726de1a4b5f · outbound

This paper cites Hi- tachi/jhu chime-5 system: Advances in speech recog- nition for everyday home environments using multiple microphone arrays,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Hi- tachi/jhu chime-5 system: Advances in speech recog- nition for everyday home environments using multiple microphone arrays,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.165599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:31.981225Z digest=sha256:26b625d2dac77a134ef9fe45e910e1f40260deba2cd342ad7001f43c7f8dd3ec

Observation 19bedd83-280a-44aa-905a-97e1d84dd16e · outbound

This paper cites End-to-end neural speaker diarization with permutation-free objectives,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling End-to-end neural speaker diarization with permutation-free objectives,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.151166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.043529Z digest=sha256:6baf9cbc17f587caa4ace0f021914ff15d2d59c0b96a4b58162d34b2baa62127

Observation 306e3b86-2199-4251-aadc-e32def9e38a1 · outbound

This paper cites Permuta- tion invariant training of deep models for speaker inde- pendent multi-talker speech separation,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Permuta- tion invariant training of deep models for speaker inde- pendent multi-talker speech separation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.136921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.145880Z digest=sha256:b07c2ac9505b4c17712025102663a02994f6c0d4e1da69427923e5632248a7c3

Observation aab960b3-5de2-4688-aff9-942484348034 · outbound

This paper cites End-to-end neural speaker di- arization with self-attention,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling End-to-end neural speaker di- arization with self-attention,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.123452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.212825Z digest=sha256:02860dde6c1381bdeaf8e11c4c3feeff156c467c3bfbee8601413c9e080b8ba3

Observation e9cae9eb-da7b-4937-8ac1-7e9b2ffab1c0 · outbound

This paper cites This PyTorch implementation matches the original.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling This PyTorch implementation matches the original

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.335296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:30.607739Z digest=sha256:4b4e6a8a7d0b8026cd4919248d6926682a322950a12a1e8d6ba317117ec8a078

Observation 60d8fbee-1d99-4ac1-b57e-d09fddba3640 · outbound

This paper cites Encoder-decoder based attractors for end-to-end neural diarization,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Encoder-decoder based attractors for end-to-end neural diarization,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.109470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.292521Z digest=sha256:fe26ee50d9baa251c8128a4327fc84c8e76814305e76263cec426d375a6b657f

Observation 54af2faa-10f2-436a-9670-e93027307824 · outbound

This paper cites Lium spkdiarization: An open source toolkit for diarization,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Lium spkdiarization: An open source toolkit for diarization,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.094967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.356912Z digest=sha256:d3bec5bfa9fe60a2b7b98e3ead6fc8e9f580eeb90b94a5df81a24d1a608d45ac

Observation 2a9e0d7b-b4d9-49a7-9f9d-38ad9e3adbb4 · outbound

This paper cites Front-end factor analysis for speaker ver- ification,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Front-end factor analysis for speaker ver- ification,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.066507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.545529Z digest=sha256:58fe49122d41038dd0deeb3121d9e96aeefec1d39bdf78df98f529c37d8b2a26

Observation 0f5ff214-87d5-40c1-827d-3536ec32b5b0 · outbound

This paper cites Speaker diarization with LSTM,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Speaker diarization with LSTM,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.052428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.594207Z digest=sha256:d0093174efb552f57ea8f0d91a38aca4cf8fc921702ecb6775466b8203794d08

Observation 12e7c552-af69-4350-84d7-602dc7e991e3 · outbound

This paper cites Speaker diarization using deep neu- ral network embeddings,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Speaker diarization using deep neu- ral network embeddings,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:36.037783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.668849Z digest=sha256:9fe6b8acce28e0439e0928aa463a01f16777199546af90b0113fe372f36609b8

Observation a96dc04d-c379-426b-b43b-20a9467894d5 · outbound

This paper cites Speaker diarization with plda i-vector scoring and unsupervised calibration,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Speaker diarization with plda i-vector scoring and unsupervised calibration,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:35.769252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.775737Z digest=sha256:4766b26f144a1f632871d99e4844493bdc5188dade145a34dfc1b8f5c2cc6032

Observation 05d309c0-06e8-4e4e-a487-896cdfdfd3cd · outbound

This paper cites Listening to each speaker one by one with recurrent selective hearing networks,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Listening to each speaker one by one with recurrent selective hearing networks,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:35.562042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.852904Z digest=sha256:f7a35e255c098bd27bbff85e7580894b992df7175738d7dbb1cefb99bb9f3d9c

Observation 1157288e-8341-463f-b28e-5884c20cff69 · outbound

This paper cites All-neural online source separation, counting, and diarization for meeting analysis,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling All-neural online source separation, counting, and diarization for meeting analysis,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:35.373652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.921453Z digest=sha256:70b46d1251545c090c9bac70bade50165bcaf2e3d2d513db12e675a33297a73b

Observation 7c23243d-91a2-45d0-820f-f3aa5189d8f1 · outbound

This paper cites Recursive speech separation for unknown number of speakers,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Recursive speech separation for unknown number of speakers,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:35.166740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:32.993660Z digest=sha256:a94150260470d3ad014e43f2a64617e469eeace9a6914c67ad5d510144fe7847

Observation 28d5cdff-face-4461-9be5-d88884952b72 · outbound

This paper cites Deep attractor network for single-microphone speaker separation,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Deep attractor network for single-microphone speaker separation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:34.841932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:33.079994Z digest=sha256:97761f3acf5b9ee743b7b7670445ab89543d37976983fa3ae207f4e24d9cc9bf

Observation cc06c54c-0ad7-4461-9cf9-ff65d86195d6 · outbound

This paper cites Speaker- independent speech separation with deep attractor net- work,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Speaker- independent speech separation with deep attractor net- work,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:34.592398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:33.155012Z digest=sha256:a777dbc582f9e1353f9aa3bed02d60f3028dbc1c568697be17ca5c944a539273

Observation fedf0225-e956-406c-be46-c38e605d6515 · outbound

This paper cites Neural diariza- tion with non-autoregressive intermediate attractors,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Neural diariza- tion with non-autoregressive intermediate attractors,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:34.423355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:33.214922Z digest=sha256:18bbc9fd1313de856d5c043cffda4a0c8212b1230b8e4159f34db311ce51f827

Observation 25c37a13-f2f5-4878-8b5b-851a55fcc4b8 · outbound

This paper cites End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:16:33.749426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:33.277736Z digest=sha256:41ea960ee38dfdff19f7d3ec191c0ee4ce01e1d972483f7fda54c56c3a88fd20

Observation 25f6a82a-04b7-4e1e-a5be-597a67b5a3fa · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Conformer: Convolution-augmented transformer for speech recognition,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:34.296289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:33.346968Z digest=sha256:011a881c29fd4334af5dc27dc395074d62ff7ae37605557e594669a35b532f3a

Observation 8ecfb8a2-bee8-4853-9db4-37c120bfb9fd · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling MUSAN: A Music, Speech, and Noise Corpus

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:16:33.477434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:16:33.477434Z digest=sha256:ae37dbd1603a1665743faf1c6e3af3f0974ce1d0ee4f1fecf00f91d5593c2bd8

Observation f5af52a7-1388-4b47-a471-f53a5ca5327d · outbound

This paper cites From simulated mixtures to simulated conversations as training data for end-to-end neural di- arization,.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling From simulated mixtures to simulated conversations as training data for end-to-end neural di- arization,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:16:34.103457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:33.552630Z digest=sha256:62afb77072718f95f8dd249f6b84ced9153ef0fa1d7aae5dcc0825560b3e5d09

Pith citing papers

Observation 1e95f855-b30a-498b-9bba-a3ce8de28ad5 · inbound

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling cites this paper.

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T10:16:33.902995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:16:30.208805Z digest=sha256:26b411079695de4fa17a3079e79938331be6f9bae473e395daf393d8b2dde2e7