Paper Citation Record · LEDGER

BUT System for the MLC-SLM Challenge

As of 23 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2506.13414.

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

pith.paper-citation-record.v1
2506.13414 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:49.224524Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:49.025024Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:05:49.315767Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy41
unresolved5
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0cfb8e20-2670-43d9-a5ef-54ea72373137 · outbound

This paper cites These models achieve remarkable accuracy by leveraging mas- sive training data [7, 8] and scaling up model parameters [9].

BUT System for the MLC-SLM Challenge These models achieve remarkable accuracy by leveraging mas- sive training data [7, 8] and scaling up model parameters [9]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.940939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbf66692-83d5-4028-a09e-b76fb702a2e3 · outbound

This paper cites BUT System for the MLC-SLM Challenge.

BUT System for the MLC-SLM Challenge BUT System for the MLC-SLM Challenge

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:05:49.321645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0fd0ba25-071e-46f8-a7b9-2d83b5ff04e0 · outbound

This paper cites DiariZen Our diarization system builds upon the DiariZen framework 4, following the training approach described in [26].

BUT System for the MLC-SLM Challenge DiariZen Our diarization system builds upon the DiariZen framework 4, following the training approach described in [26]

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:05:49.926326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 123eb015-e413-4bac-868c-b649dda73170 · outbound

This paper cites test-like.

BUT System for the MLC-SLM Challenge test-like

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:05:49.911230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ffa0abb-ab4d-4423-874f-0f31473b7433 · outbound

This paper cites Our system placed second in the MLC-SLM Challenge, showing strong performance across diverse lan- guages.

BUT System for the MLC-SLM Challenge Our system placed second in the MLC-SLM Challenge, showing strong performance across diverse lan- guages

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.897427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fcd027a4-e0ec-4dd2-b8b7-a88cbfbbf19a · outbound

This paper cites Linguistics, Artificial Intelligence and Language and Speech Technologies: from Research to Applications.

BUT System for the MLC-SLM Challenge Linguistics, Artificial Intelligence and Language and Speech Technologies: from Research to Applications

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.884115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 47b250fd-5173-4899-b9ad-d664dc2253c0 · outbound

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

BUT System for the MLC-SLM Challenge WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.870910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d4b371f0-83a7-4cd1-aeb1-81e21443106f · outbound

This paper cites HuBERT: How much can a bad teacher benefit ASR pre-training?.

BUT System for the MLC-SLM Challenge HuBERT: How much can a bad teacher benefit ASR pre-training?

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.857887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 770f14eb-9218-4151-b986-822db7a69af3 · outbound

This paper cites GPT-4 Technical Report.

BUT System for the MLC-SLM Challenge GPT-4 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:05:49.055689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a025a06-ee12-4660-bb5d-986eb19da5b7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

BUT System for the MLC-SLM Challenge LLaMA: Open and Efficient Foundation Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:05:49.059950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5147c453-0d5b-451c-8757-b28ac1d7831e · outbound

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

BUT System for the MLC-SLM Challenge Robust speech recognition via large-scale weak supervision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.844209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5975d1f6-f1e6-40fc-8199-3191b8c7c2fe · outbound

This paper cites Reproducing Whisper-style training using an open-source toolkit and publicly available data,.

BUT System for the MLC-SLM Challenge Reproducing Whisper-style training using an open-source toolkit and publicly available data,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.831010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 358dcd0d-dd62-4a88-943a-c42b50bbeae7 · outbound

This paper cites YODAS: Youtube-oriented dataset for audio and speech,.

BUT System for the MLC-SLM Challenge YODAS: Youtube-oriented dataset for audio and speech,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.818070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 051760b5-2fac-44b9-b17f-b33ff8a0ad6f · outbound

This paper cites GigaSpeech: An evolving, multi-domain ASR corpus with 10,000 hours of transcribed audio,.

BUT System for the MLC-SLM Challenge GigaSpeech: An evolving, multi-domain ASR corpus with 10,000 hours of transcribed audio,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.804787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 809304b3-72b0-4b3d-90ae-2c302c45f99b · outbound

This paper cites OWLS: Scaling laws for multilingual speech recognition and translation models,.

BUT System for the MLC-SLM Challenge OWLS: Scaling laws for multilingual speech recognition and translation models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.791734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6430f764-26c7-45f0-8f3e-658728c56dcd · outbound

This paper cites The CHiME-7 DASR challenge: Distant meet- ing transcription with multiple devices in diverse scenarios,.

BUT System for the MLC-SLM Challenge The CHiME-7 DASR challenge: Distant meet- ing transcription with multiple devices in diverse scenarios,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.778549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8740a80-81c4-4c87-8528-58cb0193b13b · outbound

This paper cites The CHiME-8 DASR challenge for generalizable and ar- ray agnostic distant automatic speech recognition and diariza- tion,.

BUT System for the MLC-SLM Challenge The CHiME-8 DASR challenge for generalizable and ar- ray agnostic distant automatic speech recognition and diariza- tion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.764000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 520cd825-1796-4497-a788-35f16ccdc014 · outbound

This paper cites The USTC-NERCSLIP systems for the CHiME- 8 NOTSOFAR-1 challenge,.

BUT System for the MLC-SLM Challenge The USTC-NERCSLIP systems for the CHiME- 8 NOTSOFAR-1 challenge,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.736694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 941c525f-3555-476d-b1b7-fb21acc77bd6 · outbound

This paper cites BUT/JHU system description for CHiME- 8 NOTSOFAR-1 challenge,.

BUT System for the MLC-SLM Challenge BUT/JHU system description for CHiME- 8 NOTSOFAR-1 challenge,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.723637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 927826b3-869a-4e1a-8adf-f80949ff92d8 · outbound

This paper cites The NPU-TEA system for the CHiME-8 NOTSOFAR-1 challenge,.

BUT System for the MLC-SLM Challenge The NPU-TEA system for the CHiME-8 NOTSOFAR-1 challenge,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.710364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abc49e92-52a3-479a-a3f9-830db2d8bc08 · outbound

This paper cites Serialized output training for end-to-end over- lapped speech recognition,.

BUT System for the MLC-SLM Challenge Serialized output training for end-to-end over- lapped speech recognition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.696677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f03e0524-d4ac-41e6-b8cf-c38e50d3b532 · outbound

This paper cites One model to rule them all? Towards end-to-end joint speaker diarization and speech recognition,.

BUT System for the MLC-SLM Challenge One model to rule them all? Towards end-to-end joint speaker diarization and speech recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.683335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f131bb1-f652-45d3-9311-d81a7c528bfd · outbound

This paper cites Permutation invariant training of deep models for speaker-independent multi-talker speech separation,.

BUT System for the MLC-SLM Challenge Permutation invariant training of deep models for speaker-independent multi-talker speech separation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.670419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d8280fb-e7ec-4c9b-8f6c-5e8b3bc02e27 · outbound

This paper cites Auxiliary interference speaker loss for target- speaker speech recognition,.

BUT System for the MLC-SLM Challenge Auxiliary interference speaker loss for target- speaker speech recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.656503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 700fc177-f89b-4776-ae70-4b591ba9b1e5 · outbound

This paper cites Conformer-based target-speaker automatic speech recognition for single-channel audio,.

BUT System for the MLC-SLM Challenge Conformer-based target-speaker automatic speech recognition for single-channel audio,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.642094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd7dfc27-5a69-4916-abcf-ddd16a90468f · outbound

This paper cites Adapting self-supervised models to multi-talker speech recognition using speaker embeddings,.

BUT System for the MLC-SLM Challenge Adapting self-supervised models to multi-talker speech recognition using speaker embeddings,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.628594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2bc7de83-46d2-4996-8d0e-110ba884661f · outbound

This paper cites Empowering Whisper as a joint multi-talker and target-talker speech recognition system,.

BUT System for the MLC-SLM Challenge Empowering Whisper as a joint multi-talker and target-talker speech recognition system,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.614755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b50c4586-ad80-4b15-ace0-4432de6197db · outbound

This paper cites Target speaker ASR with Whisper,.

BUT System for the MLC-SLM Challenge Target speaker ASR with Whisper,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.601456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c70d60a-3fee-4dda-b83b-47140df0c664 · outbound

This paper cites DiCoW: Diarization-conditioned Whisper for target speaker automatic speech recognition,.

BUT System for the MLC-SLM Challenge DiCoW: Diarization-conditioned Whisper for target speaker automatic speech recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.586337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f72cab5c-5a5e-452b-9077-6c8f2602a1c2 · outbound

This paper cites Mamba-based segmentation model for speaker diarization,.

BUT System for the MLC-SLM Challenge Mamba-based segmentation model for speaker diarization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.569876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 193f1806-9dd7-4f06-b7e6-400c2b3901ee · outbound

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

BUT System for the MLC-SLM Challenge Leveraging self-supervised learning for speaker di- arization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.553897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa801351-f559-48ce-8bad-068ee17b8c48 · outbound

This paper cites pyannote.audio 2.1 speaker diarization pipeline: prin- ciple, benchmark, and recipe,.

BUT System for the MLC-SLM Challenge pyannote.audio 2.1 speaker diarization pipeline: prin- ciple, benchmark, and recipe,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.538046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 612c9179-0a52-43a7-9719-f7e3924b83e4 · outbound

This paper cites Powerset multi-class cross entropy loss for neural speaker diarization,.

BUT System for the MLC-SLM Challenge Powerset multi-class cross entropy loss for neural speaker diarization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.522535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3834ac19-72ab-4c98-ab51-70a4be598df5 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

BUT System for the MLC-SLM Challenge Conformer: Convolution-augmented transformer for speech recognition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.506940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79026026-8e50-496e-82bf-9d6d28af968d · outbound

This paper cites The AMI meeting corpus,.

BUT System for the MLC-SLM Challenge The AMI meeting corpus,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:05:49.165415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e09a1aa-9964-4f5c-acea-0727fe33f6c4 · outbound

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

BUT System for the MLC-SLM Challenge AISHELL-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.481074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8bbb0b5a-1a06-42fc-9144-f91f1c65a039 · outbound

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

BUT System for the MLC-SLM Challenge M2MeT: The ICASSP 2022 multi-channel multi- party meeting transcription challenge,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.466742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fb22f39-5f97-4bed-a0bd-d7fac66ea5af · outbound

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

BUT System for the MLC-SLM Challenge NOTSOFAR-1 challenge: New datasets, baseline, and tasks for distant meeting transcription,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.750775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 38da3ad1-2a4c-4d41-bd28-2b0ab5fce975 · outbound

This paper cites MSDWild: Multi-modal speaker diarization dataset in the wild.

BUT System for the MLC-SLM Challenge MSDWild: Multi-modal speaker diarization dataset in the wild

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.453017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71f6fa73-49f1-4cf3-8d56-f82eedac11f5 · outbound

This paper cites The third DIHARD diarization challenge,.

BUT System for the MLC-SLM Challenge The third DIHARD diarization challenge,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.439106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbbc75e1-84f9-47ed-b2c5-01347770ed3b · outbound

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

BUT System for the MLC-SLM Challenge Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:05:49.189914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad0600ce-2d28-48e3-b3cf-8bec9b895386 · outbound

This paper cites Spot the conversation: Speaker diarisation in the wild,.

BUT System for the MLC-SLM Challenge Spot the conversation: Speaker diarisation in the wild,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.424838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8171aaa-69da-40a2-91e6-86959e145eb3 · outbound

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

BUT System for the MLC-SLM Challenge Fine-tune Before Structured Pruning: Towards Compact and Accurate Self-Supervised Models for Speaker Diarization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:05:49.199550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ae7816-1fe9-4340-a01c-28e0f2abe270 · outbound

This paper cites Advancing speaker embedding learning: Wes- peaker toolkit for research and production,.

BUT System for the MLC-SLM Challenge Advancing speaker embedding learning: Wes- peaker toolkit for research and production,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.411487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 487ff62b-85a6-4bd6-9b0f-38389f58ff17 · outbound

This paper cites V oxCeleb2: Deep speaker recognition,.

BUT System for the MLC-SLM Challenge V oxCeleb2: Deep speaker recognition,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.395592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 01906dea-18a6-40b0-b006-1ce382224e5c · outbound

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

BUT System for the MLC-SLM Challenge Librispeech: An ASR corpus based on public domain audio books,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.381894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d307f14d-5baf-4d71-b2e3-ab508009be93 · outbound

This paper cites LibriMix: An open-source dataset for generalizable speech separation,.

BUT System for the MLC-SLM Challenge LibriMix: An open-source dataset for generalizable speech separation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.367561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa23ae3d-6c23-4f56-b9a3-06b8f90221d4 · outbound

This paper cites Joint CTC/attention decoding for end-to-end speech recognition,.

BUT System for the MLC-SLM Challenge Joint CTC/attention decoding for end-to-end speech recognition,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.352954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2e477473-29c8-4621-8526-47e2689204fe · outbound

This paper cites Silero V AD: pre-trained enterprise-grade voice activity detector (V AD), number detector and language classifier,.

BUT System for the MLC-SLM Challenge Silero V AD: pre-trained enterprise-grade voice activity detector (V AD), number detector and language classifier,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:05:49.338210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation dbf66692-83d5-4028-a09e-b76fb702a2e3 · inbound