Paper Citation Record · LEDGER

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.13300.

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

pith.paper-citation-record.v1
2506.13300 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:51.670696Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:47.825821Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:40:51.796962Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy32
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0988bf3b-5ecb-4609-93aa-97c0222e0e26 · outbound

This paper cites The English subset contains approximately 500 hours of recordings from diverse regions, including British, American, Australian, In- dian, and Philippine English.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models The English subset contains approximately 500 hours of recordings from diverse regions, including British, American, Australian, In- dian, and Philippine English

Reference 1

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Observation 3fe8fc93-b57f-4451-8ce0-36f2fd646a8c · outbound

This paper cites Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models

Reference 2

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Observation 8da66008-3889-4ceb-888d-b73954a21795 · outbound

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Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Unresolved cited work

Reference 3

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Observation 15b178ee-9bc3-4c79-8389-7bc1bcb4c0b3 · outbound

This paper cites an unresolved cited work.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Unresolved cited work

Reference 4

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Observation 25dff974-c290-47a6-bc1e-a81ac18f305a · outbound

This paper cites an unresolved cited work.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Unresolved cited work

Reference 5

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Observation fbaeffe3-38e6-434b-a597-a19d7571b8d6 · outbound

This paper cites Our approach achieves substantial improvements over the official challenge baselines.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Our approach achieves substantial improvements over the official challenge baselines

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:58.563114Z

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Observation 32926180-4cfc-4b2b-9c52-c25959fca66f · outbound

This paper cites Instruction fine-tuning: Does prompt loss matter?.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Instruction fine-tuning: Does prompt loss matter?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:57.079554Z

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Observation 35c8c82b-3638-444c-8dd6-f3403fcdc84e · outbound

This paper cites Mlc-slm-baseline,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Mlc-slm-baseline,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:58.355942Z

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Observation d5945955-3b31-472b-9cb3-547f17d737b2 · outbound

This paper cites An embarrassingly simple ap- proach for llm with strong asr capacity,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models An embarrassingly simple ap- proach for llm with strong asr capacity,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:58.189054Z

Source-reported events for the cited work

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Observation 6d1f69f6-7e6d-4105-954a-a18f77960cd0 · outbound

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

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:57.960106Z

Source-reported events for the cited work

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Observation ac59bc0f-c477-4ca8-a1f7-bc99a0e20c47 · outbound

This paper cites Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:57.623425Z

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Observation 51ad9776-b3ee-4154-bc70-e107836eaae7 · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Robust speech recognition via large-scale weak su- pervision,

Reference 12

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Observation 36bec901-32c6-40f4-9772-d5a4e51934f3 · outbound

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Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Unresolved cited work

Reference 13

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Observation 448cb8dc-4cc3-4ce1-90c5-9f29368dc1ea · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models A study on data augmentation of reverberant speech for robust speech recognition,

Reference 14

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Observation d5e09c64-522f-48ad-8dd0-22c3b74c9917 · outbound

This paper cites Understanding r1-zero-like training: A critical perspec- tive,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Understanding r1-zero-like training: A critical perspec- tive,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:56.803266Z

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Observation c71ad94d-1934-4fd9-9022-2182fe6b625d · outbound

This paper cites Deepseekmath: Pushing the limits of mathematical reasoning in open language models,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Deepseekmath: Pushing the limits of mathematical reasoning in open language models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:56.609437Z

Source-reported events for the cited work

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Observation 914ede12-f1f8-46ab-bfca-eefa3d51e079 · outbound

This paper cites Cn-celeb: multi-genre speaker recogni- tion,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Cn-celeb: multi-genre speaker recogni- tion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:56.319280Z

Source-reported events for the cited work

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Observation ab8750e0-8d84-4239-8275-06440d2df614 · outbound

This paper cites V oxblink: A large scale speaker verification dataset on camera,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models V oxblink: A large scale speaker verification dataset on camera,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:56.079815Z

Source-reported events for the cited work

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Observation 86254e6a-17f1-45b4-9525-4b309301e6ba · outbound

This paper cites V oxblink2: A 100k+ speaker recognition corpus and the open- set speaker-identification benchmark,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models V oxblink2: A 100k+ speaker recognition corpus and the open- set speaker-identification benchmark,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:55.784963Z

Source-reported events for the cited work

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Observation 71328a65-d61b-47cd-b233-ed993cdab8d5 · outbound

This paper cites Wespeaker: A research and production oriented speaker embedding learning toolkit,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Wespeaker: A research and production oriented speaker embedding learning toolkit,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:55.530995Z

Source-reported events for the cited work

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Observation 8bbda074-6281-4540-9ee1-cc38927ef1e6 · outbound

This paper cites Qwen2.5 technical report,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Qwen2.5 technical report,

Reference 21

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Observation a06c87fd-a0c2-49b8-8c96-8f126f1f1ce8 · outbound

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

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models MUSAN: A Music, Speech, and Noise Corpus

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:49.758472Z

Source-reported events for the cited work

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Observation 8163074c-7e0d-4425-b6ff-2abab8bea33f · outbound

This paper cites We speech transcript, llm based speech recog- nition/transcript in 300 lines of code,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models We speech transcript, llm based speech recog- nition/transcript in 300 lines of code,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:55.229748Z

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Observation fc6ae9e1-d6c2-4625-8e2e-acf2106ad1d0 · outbound

This paper cites Transform- ers: State-of-the-art natural language processing,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Transform- ers: State-of-the-art natural language processing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:54.917888Z

Source-reported events for the cited work

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Observation ff866774-cd21-45ab-9701-1d02530f4f96 · outbound

This paper cites Accelerate: Training and in- ference at scale made simple, efficient and adaptable.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Accelerate: Training and in- ference at scale made simple, efficient and adaptable

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:54.645166Z

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Observation eecffd14-2fda-47ba-97aa-cccc869c0602 · outbound

This paper cites Peft: State-of-the-art parameter-efficient fine-tuning methods,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Peft: State-of-the-art parameter-efficient fine-tuning methods,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:54.350973Z

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Observation 1d57ade6-664e-407c-9f6a-b9ed2488fb21 · outbound

This paper cites Trl: Trans- former reinforcement learning,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Trl: Trans- former reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:54.007307Z

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Observation 2c141f99-89ae-42d3-9ee1-6933053e8254 · outbound

This paper cites Reasoning language models: A blueprint,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Reasoning language models: A blueprint,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:52.777380Z

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Observation f0c98e6e-b284-4d66-9c8a-b252a50f1cf6 · outbound

This paper cites Unified language-vision pretraining in llm with dynamic discrete visual tokenization,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Unified language-vision pretraining in llm with dynamic discrete visual tokenization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:53.661057Z

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Observation 8940571d-7737-47a7-8d36-5c6332b3ae81 · outbound

This paper cites Lora: Low-rank adaptation of large lan- guage models,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Lora: Low-rank adaptation of large lan- guage models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:53.360936Z

Source-reported events for the cited work

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Observation c97bda16-1539-47ab-b024-ee83e4bdf758 · outbound

This paper cites S 2r: Teaching llms to self-verify and self- correct via reinforcement learning,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models S 2r: Teaching llms to self-verify and self- correct via reinforcement learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:53.233747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd466234-d65c-4d8d-99bf-fd7ff216bb3d · outbound

This paper cites Training language mod- els to self-correct via reinforcement learning,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Training language mod- els to self-correct via reinforcement learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:53.119234Z

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Observation 9ee05ce6-0caf-4413-800f-569671e82ce5 · outbound

This paper cites Instruction tuning with loss over instructions,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Instruction tuning with loss over instructions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:53.019189Z

Source-reported events for the cited work

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Observation 9ea18f16-97ec-4f29-af9d-664dde917b8f · outbound

This paper cites Glore: When, where, and how to improve llm reasoning via global and local refinements,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Glore: When, where, and how to improve llm reasoning via global and local refinements,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:52.896463Z

Source-reported events for the cited work

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Observation f2590b15-c4d6-4a18-9c7f-6dd372cac0c5 · outbound

This paper cites The ResNet-101 model was specifically trained on a diverse corpus comprising CnCeleb1, CnCeleb2 [10], V oxBlink [11], and V oxBlink2 [12] datasets.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models The ResNet-101 model was specifically trained on a diverse corpus comprising CnCeleb1, CnCeleb2 [10], V oxBlink [11], and V oxBlink2 [12] datasets

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:58.690558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d36e8083-3e76-49dd-b79f-e959c6673943 · outbound

This paper cites Gec-rag: Improving generative error correction via retrieval-augmented generation for automatic speech recognition systems,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Gec-rag: Improving generative error correction via retrieval-augmented generation for automatic speech recognition systems,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:52.649409Z

Source-reported events for the cited work

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Observation 5d7e8350-6e46-426c-84ad-f32cf232a793 · outbound

This paper cites 3d-speaker-toolkit: An open source toolkit for multi-modal speaker verification and diarization,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models 3d-speaker-toolkit: An open source toolkit for multi-modal speaker verification and diarization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:52.531472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ebb2b8ea-9031-40ac-91d9-a4a5dd17f2c8 · outbound

This paper cites Deep-fsmn for large vo- cabulary continuous speech recognition,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Deep-fsmn for large vo- cabulary continuous speech recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:52.386857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e593e5f9-29b1-4e71-88c9-720b7f7a2542 · outbound

This paper cites Advancing speaker embedding learning: Wespeaker toolkit for research and produc- tion,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Advancing speaker embedding learning: Wespeaker toolkit for research and produc- tion,

Reference 39

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Source-reported events for the cited work

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Observation 89c2d929-b961-44d9-961e-177e77807c0d · outbound

This paper cites A spectral clustering approach to speaker diarization.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models A spectral clustering approach to speaker diarization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:52.271335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fbc0e57e-aef3-421b-97b6-5f6fb3fb163b · outbound

This paper cites An enhanced res2net with local and global feature fusion for speaker verification,.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models An enhanced res2net with local and global feature fusion for speaker verification,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:52.156205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 23f45442-877c-47ea-b01a-055032f9d6d4 · outbound

This paper cites CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:51.583965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23099b38-c337-4580-9a37-8505f6e3576c · outbound

This paper cites Modelscope: bring the notion of model-as-a-service to life.

Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models Modelscope: bring the notion of model-as-a-service to life

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:52.022804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 3fe8fc93-b57f-4451-8ce0-36f2fd646a8c · inbound