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Paper Citation Record · LEDGER

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.17867.

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

pith.paper-citation-record.v1
2607.17867 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:48:30.083812Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

21 of 21 outbound references displayed

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External citation measurements

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Outbound references

Observation 8511aa79-2456-40bb-91be-c7f565796a3f · outbound

This paper cites SmartGlasses Challenge 2026: Egocentric speech interaction on AI glasses,.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 SmartGlasses Challenge 2026: Egocentric speech interaction on AI glasses,

Reference 1

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source=pdf_text observed=2026-08-01T16:48:27.313176Z digest=sha256:02aa3c10d5cd3ff3a081367658511dee3c6f487d4e0930899e24da396387c7e1

Observation cdb2c74a-088c-4384-a935-0e241f1e5778 · outbound

This paper cites Leveraging self-supervised learning for speaker diarization,.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Leveraging self-supervised learning for speaker diarization,

Reference 2

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source=pdf_text observed=2026-08-01T16:48:27.441890Z digest=sha256:d9baeaa342e538b6d3786a7b91323d06414ce69075ca6230406147c69fb6bfa2

Observation fe071129-3470-4461-ad6b-3a44643c6718 · outbound

This paper cites WavLM: Large-scale self-supervised pre- training for full stack speech processing,.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 WavLM: Large-scale self-supervised pre- training for full stack speech processing,

Reference 3

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source=pdf_text observed=2026-08-01T16:48:27.563515Z digest=sha256:952aa0978014b70e58526eb5d5432ad32f69d627623b582cfd4dc6cd961a04ce

Observation c2756db5-e5a1-4fe4-a021-750eb5967515 · outbound

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

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 4

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source=pdf_text observed=2026-08-01T16:48:27.701771Z digest=sha256:1311ada078b993279c8f6aef9c538a4baf92cd44728d40d629e1ba9b721708e6

Observation bb568957-2932-4983-9c8c-65684f951f7b · outbound

This paper cites WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction

Reference 5

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source=pdf_text observed=2026-08-01T16:48:27.764596Z digest=sha256:10007ca3bba648f0a3e256f93bc4a18a3e63aa8a48fb49a5215f1bef5a7ff194

Observation 31ba815c-a463-4a65-bf3e-60fa7d120d6a · outbound

This paper cites Music source separation with band-split rnn,.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Music source separation with band-split rnn,

Reference 6

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source=pdf_text observed=2026-08-01T16:48:27.948610Z digest=sha256:d56a47d405c4cc5bdd20702f5c9fcfa979d7ef40b3ab6ba0a0588251b578dc99

Observation cfe18917-e281-44b5-b775-8c2f9124cf6f · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 7

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source=pdf_text observed=2026-08-01T16:48:28.084175Z digest=sha256:d1f75ab7ce08b0676f21357b6396a9acb1cf3ad7a7157a55aed3001ba92ef190

Observation 4b30173e-2495-451e-9378-b793744109e0 · outbound

This paper cites MeetEval: A toolkit for computation of word error rates for meeting transcription systems,.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 MeetEval: A toolkit for computation of word error rates for meeting transcription systems,

Reference 8

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source=pdf_text observed=2026-08-01T16:48:28.234398Z digest=sha256:2a825f115f1ef3f0f0f307eb936e9728504cfd749fd704acbdacf717f1855903

Observation f215ebd5-cfc4-4e15-a4fc-d08938aac3c1 · outbound

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

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 End-to-end neural speaker diarization with self-attention,

Reference 9

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source=pdf_text observed=2026-08-01T16:48:28.350735Z digest=sha256:966439a2488a1e722c1cb9ebef10a87e0235d2f511191dc9266c03c83c252a6f

Observation 26ed60e0-42f4-495e-afa1-0a3a2341f259 · outbound

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

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Encoder-decoder based attractors for end-to-end neural diarization,

Reference 10

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source=pdf_text observed=2026-08-01T16:48:28.494088Z digest=sha256:93c92e763d7bc6b7311889701091459aed852db2ddd7dd59ea30dfee198421c3

Observation efb84370-abaa-4a93-a148-fb11eb305274 · outbound

This paper cites The ami meeting corpus: A pre-announcement,.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 The ami meeting corpus: A pre-announcement,

Reference 11

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source=pdf_text observed=2026-08-01T16:48:28.622287Z digest=sha256:3c11c03e75b72f021aaf0047e8355932148bf9ee316f5818751d303eed33c515

Observation b9238894-2a66-4a72-afad-1a47d6bddcd2 · outbound

This paper cites M2met: The icassp 2022 multi-channel multi- party meeting transcription challenge,.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 M2met: The icassp 2022 multi-channel multi- party meeting transcription challenge,

Reference 12

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source=pdf_text observed=2026-08-01T16:48:28.749232Z digest=sha256:5010720376ae5e5b39dc058d1b1ed478b34f74efc635799eecc0d6506ce0fad3

Observation 94c2d2ca-f109-4478-8eda-14c38bb12f2a · outbound

This paper cites AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

Reference 13

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source=pdf_text observed=2026-08-01T16:48:28.886031Z digest=sha256:3a9c09ebbd95eb2e942c30db49eeb799eab84fdfbd34902e1caadc89aca11518

Observation 16fd41df-3e61-412c-b082-c6aeac8d822d · outbound

This paper cites NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription

Reference 14

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source=pdf_text observed=2026-08-01T16:48:29.027778Z digest=sha256:d45eb70b973c4b995b85d3b43c280641f70b4aac5a180cff31d278b616de258b

Observation 8b3d619b-0f26-43c2-b590-ea5fc32d301d · outbound

This paper cites Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset

Reference 15

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source=pdf_text observed=2026-08-01T16:48:29.172106Z digest=sha256:50fba95ad44c6fe1566f9a234673824115c4800ebe085273202bbc9caff686d1

Observation 593bf7fa-a086-46f2-adfc-db8f685fddab · outbound

This paper cites Spot the conversation: speaker diarisation in the wild.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Spot the conversation: speaker diarisation in the wild

Reference 16

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source=pdf_text observed=2026-08-01T16:48:29.269763Z digest=sha256:34ac0ec2220efae23c8aae3ee7396a18885cb30bbaebd64b67aa111f9629c003

Observation 73914b6b-3213-4bd6-87c0-db2a2eaef753 · outbound

This paper cites The Third DIHARD Diarization Challenge.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 The Third DIHARD Diarization Challenge

Reference 17

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source=pdf_text observed=2026-08-01T16:48:29.410535Z digest=sha256:110822ce01a60182e7c323e05d61deef4d8564ae8bb60c39da43240305af51d1

Observation 789d6229-c71e-46f1-a786-195a0ddd0e05 · outbound

This paper cites Summary on the multilingual conver- sational speech language model challenge: Datasets, tasks, baselines, and methods,.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Summary on the multilingual conver- sational speech language model challenge: Datasets, tasks, baselines, and methods,

Reference 18

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source=pdf_text observed=2026-08-01T16:48:29.595723Z digest=sha256:4ca12f88cbe2925b11e7a1695f4485937c19e88e1e3c4e5d0e85c5ae7c8dacdd

Observation 3965c025-735b-428e-9a4d-27df219f0a95 · outbound

This paper cites Qwen3-ASR Technical Report.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Qwen3-ASR Technical Report

Reference 19

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source=pdf_text observed=2026-08-01T16:48:29.739223Z digest=sha256:652366bafe086829e6cc3229c83909c92b90961d68b7b4f7bd4526d5e7e00915

Observation b947d688-0193-461a-b1ff-1560dd620466 · outbound

This paper cites Fireredasr2s: A state-of-the-art industrial-grade all-in-one automatic speech recognition system,.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Fireredasr2s: A state-of-the-art industrial-grade all-in-one automatic speech recognition system,

Reference 20

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source=pdf_text observed=2026-08-01T16:48:29.897951Z digest=sha256:cafb9694393127bc2916f6e0335c0169d7bbf9af84e83e4daeea92176be297ed

Observation 34d6e278-0192-452c-a5a1-b5d4a8e59c3c · outbound

This paper cites Fine-tune Before Structured Pruning: Towards Compact and Accurate Self-Supervised Models for Speaker Diarization.

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026 Fine-tune Before Structured Pruning: Towards Compact and Accurate Self-Supervised Models for Speaker Diarization

Reference 21

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source=pdf_text observed=2026-08-01T16:48:30.083812Z digest=sha256:2a0e08abcc1910a948eac1f947b53b5a80ec179690cc5d5c45b8c83e723de983

Pith citing papers

No inbound Pith citation observations are available.