Paper Citation Record · LEDGER

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.12034.

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

pith.paper-citation-record.v1
2608.12034 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:23:07.533974Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

38 of 38 outbound references displayed

verified exact1
verified fuzzy19
unresolved18
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60e70064-f763-4b1d-9434-3ac55c57aead · outbound

This paper cites GPT-4 Technical Report.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dee3de8-eb87-46c6-a3a6-168af74bed14 · outbound

This paper cites The Llama 3 Herd of Models.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models The Llama 3 Herd of Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.419462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a33887e-eba3-4e25-9f9e-a15d40c02726 · outbound

This paper cites Qwen3-Omni Technical Report.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Qwen3-Omni Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.422884Z

Source-reported events for the cited work

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Observation 014f9437-5283-4b9f-9cf1-950c33ebc0a3 · outbound

This paper cites Gemini 3.1 Pro model card,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Gemini 3.1 Pro model card,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.989893Z

Source-reported events for the cited work

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Observation b856bf75-309d-48f7-b6da-cc5ec49c1ec1 · outbound

This paper cites SALMONN: Towards generic hearing abilities for large language models,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models SALMONN: Towards generic hearing abilities for large language models,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.978819Z

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Observation 8a1b1f80-79bf-4d3c-83d8-8cdc1dcc44cd · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.433724Z

Source-reported events for the cited work

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Observation a44e4502-90ed-4aa8-9676-455e729cd3a7 · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Robust speech recognition via large-scale weak supervi- sion,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.437548Z

Source-reported events for the cited work

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Observation 2b260830-4bef-4c03-9031-e50c0a90c1eb · outbound

This paper cites Qwen2-Audio Technical Report.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Qwen2-Audio Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.440032Z

Source-reported events for the cited work

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Observation c7029b54-c214-4f18-8a9c-948cea2a5ed7 · outbound

This paper cites AudioPaLM: A Large Language Model That Can Speak and Listen.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.442776Z

Source-reported events for the cited work

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Observation be23c409-a793-4675-9e6c-a642d3a2c234 · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.445644Z

Source-reported events for the cited work

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Observation d5befcf1-8e97-4322-8bb2-85b21ee9d748 · outbound

This paper cites Pengi: An audio language model for audio tasks,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Pengi: An audio language model for audio tasks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.960878Z

Source-reported events for the cited work

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Observation bcf4e1c3-41fd-48c5-9031-f9e6068469b4 · outbound

This paper cites Listen, think, and understand,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Listen, think, and understand,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.949403Z

Source-reported events for the cited work

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Observation 436e92b9-7991-4f55-9f3e-9c3b11f90875 · outbound

This paper cites Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.453921Z

Source-reported events for the cited work

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Observation 1c649c4c-8438-43d7-a1ea-e3f888208f58 · outbound

This paper cites Kimi-Audio Technical Report.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Kimi-Audio Technical Report

Reference 14

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Source-reported events for the cited work

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Observation b6cfd123-2aea-4ecf-b097-9c31e077f598 · outbound

This paper cites Aria Everyday Activities Dataset.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Aria Everyday Activities Dataset

Reference 15

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Source-reported events for the cited work

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Observation 061529ae-8eb2-41ef-95a4-ef57a1e42f44 · outbound

This paper cites Group conversations in noisy environments (GiN) – multimedia recordings for location-aware speech enhancement,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Group conversations in noisy environments (GiN) – multimedia recordings for location-aware speech enhancement,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.938183Z

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Observation f2d41da8-e687-47c1-9386-eeaef19d19fd · outbound

This paper cites A survey on speech large language models for understanding,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models A survey on speech large language models for understanding,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.926402Z

Source-reported events for the cited work

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Observation 9485ef4c-b066-4279-856c-a3d7d3e69bc2 · outbound

This paper cites TagSpeech: End-to-end multi-speaker ASR and diarization with fine-grained temporal grounding,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models TagSpeech: End-to-end multi-speaker ASR and diarization with fine-grained temporal grounding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.914641Z

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Observation d22f0655-98cf-49d7-9c6d-e78e969e082b · outbound

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

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models The AMI meeting corpus: A pre-announcement,

Reference 19

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Observation 95d8291e-abac-4e04-9fd1-73f67945f4d0 · outbound

This paper cites The ICSI meeting corpus,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models The ICSI meeting corpus,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.880559Z

Source-reported events for the cited work

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Observation 0d6b4e68-45a4-4a90-b05a-6d0dc63a03a0 · outbound

This paper cites AISHELL-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models AISHELL-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.869312Z

Source-reported events for the cited work

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Observation ad19c90c-f343-4d45-8a11-29bb2dfac25d · outbound

This paper cites M2MeT: The ICASSP 2022 multi-channel multi-party meeting transcription challenge,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models M2MeT: The ICASSP 2022 multi-channel multi-party meeting transcription challenge,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.857394Z

Source-reported events for the cited work

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Observation ec1af94d-8e78-494c-b671-3c272d73b89d · outbound

This paper cites NOTSOFAR-1 challenge: New datasets, baseline, and tasks for distant meeting transcription,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models NOTSOFAR-1 challenge: New datasets, baseline, and tasks for distant meeting transcription,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.845691Z

Source-reported events for the cited work

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Observation 58dadf7d-539a-4ed9-b2d1-84ff239e7417 · outbound

This paper cites WearV ox: An egocentric multichannel voice assistant benchmark for wearables,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models WearV ox: An egocentric multichannel voice assistant benchmark for wearables,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.834338Z

Source-reported events for the cited work

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Observation 743a6f61-a4b0-4c22-86f3-5a0be64e710e · outbound

This paper cites The CHiME-8 MMCSG challenge: Multi-modal conversations in smart glasses,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models The CHiME-8 MMCSG challenge: Multi-modal conversations in smart glasses,

Reference 25

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Observation 5820bc6d-7b18-44fc-a417-e6ae5baddb8c · outbound

This paper cites On the evaluation of speech foundation models for spoken language understanding,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models On the evaluation of speech foundation models for spoken language understanding,

Reference 26

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Observation 283e0114-9c86-4942-a851-0016637dc9f6 · outbound

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

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models MeetEval: A toolkit for computation of word error rates for meeting transcription systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.800572Z

Source-reported events for the cited work

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Observation fbee5349-d3e1-4161-b89d-3e31ae416d45 · outbound

This paper cites SoulX-Transcriber: A Robust End-to-End Framework for Multi-Speaker Speech Transcription.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models SoulX-Transcriber: A Robust End-to-End Framework for Multi-Speaker Speech Transcription

Reference 28

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Observation 1b482ad0-3f66-406d-a53f-4a458aac120a · outbound

This paper cites VIBEVOICE-ASR technical report,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models VIBEVOICE-ASR technical report,

Reference 29

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Observation 52eea81b-4be9-4429-83bd-66235d3bc8b9 · outbound

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

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models WavLM: Large-scale self-supervised pre- training for full stack speech processing,

Reference 30

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Source-reported events for the cited work

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Observation 3a94ce0e-a34b-4f8c-bd7d-7706b9d80f26 · outbound

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The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models MOSS Transcribe Diarize Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.516057Z

Source-reported events for the cited work

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Observation 51fb96f5-6a85-4f93-ad33-b34cf8061fbe · outbound

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The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Qwen3 Technical Report

Reference 32

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Source-reported events for the cited work

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Observation 2809d181-e360-480e-83b2-1161658f149c · outbound

This paper cites GPU-accelerated guided source separation for meeting transcription,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models GPU-accelerated guided source separation for meeting transcription,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.782325Z

Source-reported events for the cited work

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Observation c144e878-9957-4523-a2d4-469aef10f5f6 · outbound

This paper cites Dual-path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Dual-path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.770642Z

Source-reported events for the cited work

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Observation 8f9747ac-539c-4b7b-960a-11b3d08b2176 · outbound

This paper cites Qwen2.5-Omni Technical Report.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Qwen2.5-Omni Technical Report

Reference 35

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Source-reported events for the cited work

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Observation 93f9dc6c-fe8c-46dd-95ef-832cc8cefd88 · outbound

This paper cites MOSS-Audio Technical Report.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models MOSS-Audio Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:07.530792Z

Source-reported events for the cited work

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Observation a56544fc-2114-4101-a056-afd53c6469d4 · outbound

This paper cites QLoRA: Efficient finetuning of quantized LLMs,.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models QLoRA: Efficient finetuning of quantized LLMs,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:23:07.759555Z

Source-reported events for the cited work

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Observation 6baccc7b-3362-406b-9858-0416a474c502 · outbound

This paper cites an unresolved cited work.

The SLT 2026 SmartGlasses Challenge: Benchmarking Egocentric Multi-Talker Speech Recognition and Understanding with Audio-Language Models Unresolved cited work

Reference 3869

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:23:07.891006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.