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Paper Citation Record · LEDGER

Revisiting Lexicon Evaluation in Unsupervised Word Discovery

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2606.06183.

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

pith.paper-citation-record.v1
2606.06183 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:34:31.597004Z

measured 33 of 33 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 2026-06-27T11:37:46.853400Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T07:57:44.413981Z

Reference resolution

32 of 32 outbound references displayed

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  • unresolved31
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Outbound references

Observation d6742c3a-14f1-4012-90f2-0273351c0c3d · outbound

This paper cites Unsupervised word acquisition from speech using pattern discovery,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Unsupervised word acquisition from speech using pattern discovery,

Reference 1

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Observation bae29c3a-0c4d-4f33-a8f0-afe9ca65cddb · outbound

This paper cites Sylber: Syllabic embedding representation of speech from raw audio,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Sylber: Syllabic embedding representation of speech from raw audio,

Reference 2

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Observation e15cf53f-ed44-482c-97b2-7022cb5d6f4c · outbound

This paper cites SyllableLM: Learning coarse semantic units for speech language models,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery SyllableLM: Learning coarse semantic units for speech language models,

Reference 3

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Observation 16222e23-6cdc-4e7c-a095-98ac732bdee4 · outbound

This paper cites The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units,

Reference 4

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Observation 75ec28c0-2ff2-473e-8cba-220b744a1217 · outbound

This paper cites On generative spoken language modeling from raw audio,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery On generative spoken language modeling from raw audio,

Reference 5

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Observation 5a586016-53c2-4ef3-b469-fbf06d7e51fc · outbound

This paper cites AudioLM: A language modeling approach to audio generation,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery AudioLM: A language modeling approach to audio generation,

Reference 6

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Observation 6a7fb863-7ad8-486d-a8d3-e56acf70513d · outbound

This paper cites On the landscape of spoken language models: A comprehensive survey,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery On the landscape of spoken language models: A comprehensive survey,

Reference 7

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Observation 8c97fc43-1c32-4e57-8c47-b35101c53098 · outbound

This paper cites Criterion functions for document clustering: Experiments and analysis,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Criterion functions for document clustering: Experiments and analysis,

Reference 8

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Observation cea2eafc-fe4a-4e91-9e8a-9703dfa73ee3 · outbound

This paper cites V-measure: A conditional entropy- based external cluster evaluation measure,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery V-measure: A conditional entropy- based external cluster evaluation measure,

Reference 9

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Observation 363ee78e-9057-4001-bba1-91a9ada3b9e4 · outbound

This paper cites Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems,

Reference 10

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Observation feb0a941-cb39-4329-a11c-63fd5e9458b9 · outbound

This paper cites Unsupervised word discovery from speech using automatic segmentation into syllable-like units,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Unsupervised word discovery from speech using automatic segmentation into syllable-like units,

Reference 11

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Observation d2325b23-204f-4355-8cd0-13039baa938c · outbound

This paper cites A segmental framework for fully-unsupervised large-vocabulary speech recognition,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery A segmental framework for fully-unsupervised large-vocabulary speech recognition,

Reference 12

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Observation e637d244-4831-45bd-ae67-c821df1701d4 · outbound

This paper cites An embedded segmental K-means model for unsupervised segmentation and clustering of speech,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery An embedded segmental K-means model for unsupervised segmentation and clustering of speech,

Reference 13

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Observation 31d1bd38-996a-4a93-8500-75a077db2924 · outbound

This paper cites Unsupervised discovery of recurring speech patterns using probabilistic adaptive metrics,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Unsupervised discovery of recurring speech patterns using probabilistic adaptive metrics,

Reference 14

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Observation be53c883-81e2-4b01-9e02-c93523d28488 · outbound

This paper cites Self-expressing autoencoders for unsupervised spoken term discovery,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Self-expressing autoencoders for unsupervised spoken term discovery,

Reference 15

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Observation af8ce810-a0e6-45b8-b229-93e27c89ef14 · outbound

This paper cites Word discovery in visually grounded, self- supervised speech models,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Word discovery in visually grounded, self- supervised speech models,

Reference 16

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Observation 765b839a-2968-4eb2-98eb-f4f6aadf4f83 · outbound

This paper cites Spoken- term discovery using discrete speech units,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Spoken- term discovery using discrete speech units,

Reference 17

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Observation dd1f87e7-8d1e-4e40-95b8-0098913059df · outbound

This paper cites Revisiting speech segmentation and lexicon learning with better features.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Revisiting speech segmentation and lexicon learning with better features

Reference 18

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Observation d301e79d-ea2a-40f4-9212-1cc7c6658d9d · outbound

This paper cites An information-theoretic external cluster-validity measure,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery An information-theoretic external cluster-validity measure,

Reference 19

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Observation eeb475b5-a8fd-4245-980b-d3976b173dfa · outbound

This paper cites Comparing clusterings by the variation of information,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Comparing clusterings by the variation of information,

Reference 20

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Observation 6e184f2a-80c8-4163-bb0b-00bb92289444 · outbound

This paper cites A comparison of extrinsic clustering evaluation metrics based on formal constraints,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery A comparison of extrinsic clustering evaluation metrics based on formal constraints,

Reference 21

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Observation e2039996-c1ed-42c0-b70e-18a61214a3c0 · outbound

This paper cites Unsupervised pattern discovery in speech,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Unsupervised pattern discovery in speech,

Reference 22

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Observation 53b0bfc3-6bf3-42f3-8fbf-66b035cd3f50 · outbound

This paper cites What do self- supervised speech models know about words?.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery What do self- supervised speech models know about words?

Reference 23

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Observation 9de640a9-2ada-4fc1-8574-98c9018b6fdf · outbound

This paper cites Should top-down clustering affect boundaries in unsupervised word discovery?.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Should top-down clustering affect boundaries in unsupervised word discovery?

Reference 24

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Observation 09e208cd-da87-4f0b-bd11-73e3e838beaf · outbound

This paper cites Comparing clusterings–an information based distance,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Comparing clusterings–an information based distance,

Reference 25

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Observation 085652af-6432-400c-9d28-3eb285d694c2 · outbound

This paper cites LibriSpeech: An ASR corpus based on public domain audio books,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery LibriSpeech: An ASR corpus based on public domain audio books,

Reference 26

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Observation fa81a7e3-c7ec-4f07-ba16-0963fd3c104a · outbound

This paper cites Montreal Forced Aligner: Trainable text-speech alignment using Kaldi,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Montreal Forced Aligner: Trainable text-speech alignment using Kaldi,

Reference 27

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Observation a5c0c0ee-7c56-4ee5-b925-3c79614e62fc · outbound

This paper cites k-means++: the advantages of careful seeding,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery k-means++: the advantages of careful seeding,

Reference 28

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Observation 715e35dc-5183-4ff2-91d7-2ccb454c0681 · outbound

This paper cites Community detection in graphs,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Community detection in graphs,

Reference 29

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Observation 77919435-7415-4173-9382-8b7d48b3534e · outbound

This paper cites Unsupervised lexicon learning from speech is limited by representations rather than clustering,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Unsupervised lexicon learning from speech is limited by representations rather than clustering,

Reference 30

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Observation 26e883b3-1ce1-4b2d-9f23-645e5d6c7e3f · outbound

This paper cites Nielsen,Introduction to HPC with MPI for Data Science.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Nielsen,Introduction to HPC with MPI for Data Science

Reference 31

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Observation 0db4887d-357e-42cf-b16e-251180cf31c7 · outbound

This paper cites Unsupervised word discovery: Boundary detection with clustering vs. dynamic programming,.

Revisiting Lexicon Evaluation in Unsupervised Word Discovery Unsupervised word discovery: Boundary detection with clustering vs. dynamic programming,

Reference 32

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Pith citing papers

Observation 4fa03de6-6680-49b9-9eac-b319a55f9794 · inbound

Recovering the Zipfian Distribution in Unsupervised Term Discovery cites this paper.

Recovering the Zipfian Distribution in Unsupervised Term Discovery Revisiting Lexicon Evaluation in Unsupervised Word Discovery

Reference 54

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