Paper Citation Record · LEDGER

Improving Neural Diarization through Speaker Attribute Attractors and Local Dependency Modeling

As of 15 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 2026-08-15T06:32:42.880941+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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:16:36.349218Z

Source-reported events for the cited work

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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

Resolution: unresolved; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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.

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 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

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