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Paper Citation Record · LEDGER

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages

As of 12 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2607.23808.

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

pith.paper-citation-record.v1
2607.23808 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T11:54:24.773102Z

measured 36 of 36 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T11:54:24.609572Z

measured 0 of 1 external citation measurements

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Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation 40b98f1f-a5f8-4b16-8c68-22b7f8fda70b · outbound

This paper cites Large scale data collection efforts such as IndicV oices [1] have enabled multilingual ASR systems that begin to cover India’s linguis- tic diversity.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Large scale data collection efforts such as IndicV oices [1] have enabled multilingual ASR systems that begin to cover India’s linguis- tic diversity

Reference 1

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Observation 267a1936-dba1-43b8-9637-bdfd04416810 · outbound

This paper cites Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages

Reference 2

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Observation aeca01b5-40fc-4853-b090-f0cc046db04b · outbound

This paper cites The follow- ing subsections describe the data collection process, annotation pipeline, and dataset statistics.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages The follow- ing subsections describe the data collection process, annotation pipeline, and dataset statistics

Reference 3

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Observation 093edb39-c1e6-49db-a810-c5127f91fda8 · outbound

This paper cites For acoustic segmentation, we report Diarization Error Rate (DER) computed without a forgiveness collar and includ- ing overlapping speech.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages For acoustic segmentation, we report Diarization Error Rate (DER) computed without a forgiveness collar and includ- ing overlapping speech

Reference 4

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Observation 0e9c4678-838d-4919-8192-1709cc658660 · outbound

This paper cites Figure 2 presents per-language cpWER and WDER for all evaluated systems across 22 Indic languages.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Figure 2 presents per-language cpWER and WDER for all evaluated systems across 22 Indic languages

Reference 5

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Observation 7aaa82b5-6442-48a4-be11-6ab843201a79 · outbound

This paper cites an unresolved cited work.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Unresolved cited work

Reference 6

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Observation 6b9e90fa-9099-4329-b69d-fcb1284c4303 · outbound

This paper cites We also thank the language experts at Sarvam AI and AI4Bharat for their excellent work; this effort would not have been possible without their contributions.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages We also thank the language experts at Sarvam AI and AI4Bharat for their excellent work; this effort would not have been possible without their contributions

Reference 7

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Observation 33bafeba-62f5-4878-81ab-991f066c2f1b · outbound

This paper cites All technical content, analyses, results, and conclusions were produced and verified by the authors.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages All technical content, analyses, results, and conclusions were produced and verified by the authors

Reference 8

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Observation 5caf69e4-2d2f-484d-9a9a-e110566b3f81 · outbound

This paper cites IndicV oices: Towards building an inclusive multilingual speech dataset for Indian languages,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages IndicV oices: Towards building an inclusive multilingual speech dataset for Indian languages,

Reference 9

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Observation 91fa102b-f943-4403-b213-a5e710012ea0 · outbound

This paper cites A review of speaker diarization: Recent advances with deep learning,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages A review of speaker diarization: Recent advances with deep learning,

Reference 10

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Observation 6927e480-1f25-4b92-8da9-df74d0b92ddf · outbound

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

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages The AMI meeting corpus: A pre-announcement,

Reference 11

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Observation 9317d9a7-7f74-4117-b380-21562e09b7f2 · outbound

This paper cites The ICSI meeting corpus,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages The ICSI meeting corpus,

Reference 12

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Observation f5459b02-9aa4-4082-9ebd-b50d9b005114 · outbound

This paper cites CALLHOME American English speech,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages CALLHOME American English speech,

Reference 13

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Observation a8d099e9-56dc-45b7-9d30-b0c32a2e8f85 · outbound

This paper cites The third DI- HARD diarization challenge,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages The third DI- HARD diarization challenge,

Reference 14

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Observation ab59d5cf-5a90-4772-9a0e-90e0a773814d · outbound

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

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Spot the conversation: Speaker diarisation in the wild,

Reference 15

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Observation 1800d0c3-360c-48b7-b987-df39cf4ca7e5 · outbound

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

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages M2MeT: The ICASSP 2022 multi-channel multi-party meeting transcription challenge,

Reference 16

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Observation a5d5b775-e891-44f0-947d-c4efe07c6dbe · outbound

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

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages AISHELL-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,

Reference 17

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Observation b8cfb490-d7b0-4a99-bc48-b34d36f5d477 · outbound

This paper cites Continuous speech separation: Dataset and anal- ysis,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Continuous speech separation: Dataset and anal- ysis,

Reference 18

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Observation b3b9d5a4-e72e-431e-a0c4-ebf54e6655c3 · outbound

This paper cites SDBench: A comprehensive benchmark suite for speaker diarization,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages SDBench: A comprehensive benchmark suite for speaker diarization,

Reference 19

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Observation 793f4da8-ca5a-4b92-b9e6-ef4532785cb5 · outbound

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

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages NOTSOFAR-1 challenge: New datasets, baseline, and tasks for distant meeting transcription,

Reference 20

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Observation d331534b-3b34-4179-9550-550d24e53340 · outbound

This paper cites Common voice: A massively-multilingual speech corpus,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Common voice: A massively-multilingual speech corpus,

Reference 21

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Observation 7bab2aa5-427a-4069-abc6-a8404bd0b0e5 · outbound

This paper cites FLEURS: Few-shot learning evaluation of universal representations of speech,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages FLEURS: Few-shot learning evaluation of universal representations of speech,

Reference 22

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Observation 5daec743-faff-4ef6-9032-b2675b626f81 · outbound

This paper cites The DISPLACE challenge 2023 – DIarization of SPeaker and LAnguage in Conversational Environments,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages The DISPLACE challenge 2023 – DIarization of SPeaker and LAnguage in Conversational Environments,

Reference 23

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Observation ba575a72-4642-4bca-a7f6-ccd84768232b · outbound

This paper cites The second DISPLACE challenge: DIariza- tion of SPeaker and LAnguage in Conversational Environments,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages The second DISPLACE challenge: DIariza- tion of SPeaker and LAnguage in Conversational Environments,

Reference 24

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Observation cb6e8cdf-f452-4353-aba8-134c3fd2cdee · outbound

This paper cites CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,

Reference 25

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Observation 9897918d-0463-4b22-9531-06c9b574d10b · outbound

This paper cites Joint speech recogni- tion and speaker diarization via sequence transduction,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Joint speech recogni- tion and speaker diarization via sequence transduction,

Reference 26

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Observation 0cdd94cd-179f-42b3-9442-bab87c8578a0 · outbound

This paper cites Sarvam ASR,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Sarvam ASR,

Reference 27

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Observation 1275309c-4178-4293-8c72-ba29cebcabf0 · outbound

This paper cites Introducing Nova-3 Speech-to-Text API,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Introducing Nova-3 Speech-to-Text API,

Reference 28

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Observation 1f896488-eb8e-4b69-9fec-e3446eac78d8 · outbound

This paper cites Speech to Text Capabilities,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Speech to Text Capabilities,

Reference 29

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Observation 47469f7c-792e-4390-be05-fe7b06896a3c · outbound

This paper cites Universal-2 Speech Recognition Model,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Universal-2 Speech Recognition Model,

Reference 30

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Observation 52a33dfd-872c-4b2b-83c8-738963c885f4 · outbound

This paper cites Azure Speech-to-Text,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Azure Speech-to-Text,

Reference 31

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Observation 708d5c71-9afd-4406-89f8-acc4d263c2de · outbound

This paper cites Amazon Transcribe,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Amazon Transcribe,

Reference 32

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Observation 4fc293d7-992a-45ae-86c0-e595892a9d49 · outbound

This paper cites Gemini 3,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Gemini 3,

Reference 33

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Observation 48345fa4-ebb0-4cb7-a188-c5567eaecc4c · outbound

This paper cites GPT-4o Transcribe Model Documentation,.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages GPT-4o Transcribe Model Documentation,

Reference 34

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Observation 14264ebc-7e86-404f-ad14-5b3fbd486489 · outbound

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

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages pyannote.audio 2.1 speaker diarization pipeline: Prin- ciple, benchmark, and recipe,

Reference 35

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Pith citing papers

Observation 267a1936-dba1-43b8-9637-bdfd04416810 · inbound

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages cites this paper.

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages

Reference 2

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unresolved
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