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Paper Citation Record · LEDGER

MOSS Transcribe Diarize Technical Report

As of 6 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 5 inbound Pith citation observations for arXiv:2601.01554.

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

pith.paper-citation-record.v1
2601.01554 v7

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:49:51.849785Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:07:39.817307Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:19:03.363492Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42cb439c-8ddc-40a9-b932-859f225b9d11 · outbound

This paper cites WhisperX: Time-Accurate Speech Transcription of Long-Form Audio.

MOSS Transcribe Diarize Technical Report WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

Reference 1

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unresolved
no resolver link, observed 2026-08-03T12:49:49.594090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:49.594090Z digest=sha256:2885a9a409a17ac4fb09972dce3fa1465e4cc337a69066ecb40fe7600e1a2e37

Observation 067aece8-d695-45e0-ae5e-06ac08f32994 · outbound

This paper cites Pyannote.audio: neural building blocks for speaker diarization.

MOSS Transcribe Diarize Technical Report Pyannote.audio: neural building blocks for speaker diarization

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T12:49:49.630792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:49.630792Z digest=sha256:31b9198351035f6f1d0b2619d7d96f5bf179270ee175da038b8fb70267424a21

Observation 6dea2322-2d44-4ca5-8590-bddba16ce66c · outbound

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

MOSS Transcribe Diarize Technical Report The ami meeting corpus: A pre-announcement

Reference 3

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unresolved
no resolver link, observed 2026-08-03T12:49:49.703260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:49.703260Z digest=sha256:520ea87818566915a2641f224346af0b6f6a1dfe3de5480e284f516ff720b670

Observation 0694c304-05df-4846-a266-05e98b75860c · outbound

This paper cites an unresolved cited work.

MOSS Transcribe Diarize Technical Report Unresolved cited work

Reference 4

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unresolved
no resolver link, observed 2026-08-03T12:49:49.749861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:49.749861Z digest=sha256:91a6519fe842fd9f547869a864309ee795fb8670a50a2e8fefc31440ffe7159e

Observation 2c0f0358-b194-4b02-b27d-d509d06188f5 · outbound

This paper cites TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability.

MOSS Transcribe Diarize Technical Report TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability

Reference 5

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unresolved
no resolver link, observed 2026-08-03T12:49:49.871069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:49.871069Z digest=sha256:08deca25159fe743d310f59b468ff6666798d2f313a8c7d1c3f3f5b836a80592

Observation 938d5d20-137b-438b-92bb-7c6fc392fde4 · outbound

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

MOSS Transcribe Diarize Technical Report Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T12:49:50.056919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:50.056919Z digest=sha256:24eb848cdf745281db74f2b59a2988cbaf9dedb39615463b78c235afaf3a15cb

Observation eaf5114c-d9a4-43ef-baa9-573290076e85 · outbound

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

MOSS Transcribe Diarize Technical Report AISHELL-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T12:49:50.210239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:50.210239Z digest=sha256:471063f8ae96897e884804f354df5c5b0144d53ceb9aef9f5045fc597fe58951

Observation 2f8090ef-0180-44f1-a70c-00850c8157d8 · outbound

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

MOSS Transcribe Diarize Technical Report End-to-end neural speaker diarization with self-attention

Reference 8

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unresolved
no resolver link, observed 2026-08-03T12:49:50.358730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:50.358730Z digest=sha256:dfbe5fc55912d1742f6a6eceb98247ffe9e216d3a19ce8fdcd580e82ad2542ed

Observation 7e6fb4fc-c6ea-49ea-8cf6-e1b5c4f08327 · outbound

This paper cites The icsi meeting corpus.

MOSS Transcribe Diarize Technical Report The icsi meeting corpus

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T12:49:50.517796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:50.517796Z digest=sha256:07e1c5a678dfc28baf4bc02a245e9cf0e7a4327f6f63ccd28d8820afdd98027a

Observation 31092241-eebc-4311-935d-ffd325c13f13 · outbound

This paper cites Serialized output training for end-to-end overlapping speech recognition.

MOSS Transcribe Diarize Technical Report Serialized output training for end-to-end overlapping speech recognition

Reference 10

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unresolved
no resolver link, observed 2026-08-03T12:49:50.661043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:50.661043Z digest=sha256:f1cc86219b10df918ebd5c6d755eafd1bbdfb20b0e429d2fe3ff9bcf958449a1

Observation 61fe783c-c228-4bd6-844c-6fc7fd63dca8 · outbound

This paper cites From simulated mixtures to simulated conversations as training data for neural diarization.

MOSS Transcribe Diarize Technical Report From simulated mixtures to simulated conversations as training data for neural diarization

Reference 11

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unresolved
no resolver link, observed 2026-08-03T12:49:50.777521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:50.777521Z digest=sha256:a73e9f0fb24f6a00859888d3e4f7010827228367ef535fec829ade1d8ff858c5

Observation 152a581f-4627-4d58-968b-b5c2b9a59f32 · outbound

This paper cites Levenshtein.

MOSS Transcribe Diarize Technical Report Levenshtein

Reference 12

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unresolved
no resolver link, observed 2026-08-03T12:49:50.884954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:50.884954Z digest=sha256:e3e8988274a9c18dc1ac1e721871423cc2d7529d4c3137ee5d6e618d9bf66f26

Observation c4ee19bc-f34d-4c68-a5a1-e7cf26ed7185 · outbound

This paper cites Montreal forced aligner: A trainable text-speech alignment system.

MOSS Transcribe Diarize Technical Report Montreal forced aligner: A trainable text-speech alignment system

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T12:49:51.022176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.022176Z digest=sha256:38fa65ac5638d426b581368fde62f23f27e9d9fa11ac03561469be23481fc2c6

Observation 394aad98-ec97-490e-b5ca-9c09da050ff6 · outbound

This paper cites an unresolved cited work.

MOSS Transcribe Diarize Technical Report Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-03T12:49:51.143941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.143941Z digest=sha256:45fc35b6d574c1211e3fd992aa74af73719497b51c1fe5a93b9fd361e0e6dd23

Observation 23dc1063-51ed-4618-baae-cdf9f4306937 · outbound

This paper cites an unresolved cited work.

MOSS Transcribe Diarize Technical Report Unresolved cited work

Reference 15

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unresolved
no resolver link, observed 2026-08-03T12:49:51.215298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.215298Z digest=sha256:112fbb1cc8bfdb8b7808a993601fd6f7bee63e3fdfc993299a0b2d80d2fccd47

Observation 6dfc0ed7-2352-46f4-ad63-69e67442f542 · outbound

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

MOSS Transcribe Diarize Technical Report Robust speech recognition via large-scale weak supervision

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T12:49:51.300528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.300528Z digest=sha256:77396e83cc034f543de0458ea4170974ed65114eebe76a529ac2124499115287

Observation 511e6b07-de34-4c5b-acce-d578aae04e1c · outbound

This paper cites Train short, infer long: Speech-llm enables zero- shot streamable joint asr and diarization on long audio.

MOSS Transcribe Diarize Technical Report Train short, infer long: Speech-llm enables zero- shot streamable joint asr and diarization on long audio

Reference 17

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unresolved
no resolver link, observed 2026-08-03T12:49:51.399679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.399679Z digest=sha256:f1cfc30127f037b592a9924a0e1291514224f78e8fd25080b1c234f335337f0d

Observation baa9dd3c-36aa-4476-9450-3f69b1b8eb9d · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recognition.

MOSS Transcribe Diarize Technical Report X-vectors: Robust dnn embeddings for speaker recognition

Reference 18

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unresolved
no resolver link, observed 2026-08-03T12:49:51.494444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.494444Z digest=sha256:47b6d0dc48c5bc68622836e6f5c83f1accc396ace3da99179b8dad46c428401e

Observation ef4877bf-2f9a-403b-991d-dbc37df16664 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

MOSS Transcribe Diarize Technical Report SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 19

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unresolved
no resolver link, observed 2026-08-03T12:49:51.562851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.562851Z digest=sha256:502d085d323c961c7e3eaa92914e1d47bdccc02b2b0790f3e916169bb51fdc29

Observation b14172fb-6ba3-4c3c-b0bd-afe046228234 · outbound

This paper cites Wang et al.

MOSS Transcribe Diarize Technical Report Wang et al

Reference 20

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unresolved
no resolver link, observed 2026-08-03T12:49:51.599482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.599482Z digest=sha256:6b3bfcaaee8892e0f08de6624611e9748c8ef76be6d1baf83d353268ce47f23c

Observation 2edd7df7-ec02-4127-8efc-b1deba10863d · outbound

This paper cites an unresolved cited work.

MOSS Transcribe Diarize Technical Report Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T12:49:51.739851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.739851Z digest=sha256:4bdad686d5855c03c13695e23d9fa623c13f26a1e9d5cf110ed17ec83e537bd6

Observation 4ce3c9b1-4159-4cfb-a349-c5e50394cb19 · outbound

This paper cites Speechgpt: Empow- ering large language models with intrinsic cross-modal conversational abilities.

MOSS Transcribe Diarize Technical Report Speechgpt: Empow- ering large language models with intrinsic cross-modal conversational abilities

Reference 22

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unresolved
no resolver link, observed 2026-08-03T12:49:51.849785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:49:51.849785Z digest=sha256:61e355d8a5168baabef57378107f37ac0000f93124c2a2e67ae79dc17583c409

Pith citing papers

Observation c16340d9-16ca-4317-88b6-b50f734ed571 · inbound

DM-ASR: Diarization-aware Multi-speaker ASR with Large Language Models cites this paper.

DM-ASR: Diarization-aware Multi-speaker ASR with Large Language Models MOSS Transcribe Diarize Technical Report

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:49.762568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T09:18:53.285951Z digest=sha256:f78da7ef7e3ba67bc243a6badb7170543b2e76ad48abff340982124a51cf4b07

Observation c031f99c-4eee-4423-9a11-79cc20a86d16 · inbound

MOSS-Audio Technical Report cites this paper.

MOSS-Audio Technical Report MOSS Transcribe Diarize Technical Report

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:49.762568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T13:05:29.813707Z digest=sha256:21a4308446578348d7a70d94b282d2784a57912e05c016abc74fae93b99264f6

Observation 83791a05-7fb8-4424-8bbf-857493c59606 · inbound

Balancing ASR and diarization in end-to-end LLMs for multi-talker speech recognition cites this paper.

Balancing ASR and diarization in end-to-end LLMs for multi-talker speech recognition MOSS Transcribe Diarize Technical Report

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:49.762568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T06:04:34.129424Z digest=sha256:32b5bfab33df2a43e23f92fc13607598b0d933cd444e6512602522ca92e192bf

Observation 3a7f2bc8-d5bd-4b2c-8836-e560af80486b · inbound

Grounding Spoken LLMs in Multi-Speaker Audio via Diarization Conditioning cites this paper.

Grounding Spoken LLMs in Multi-Speaker Audio via Diarization Conditioning MOSS Transcribe Diarize Technical Report

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:49.762568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T22:39:09.967750Z digest=sha256:9233145c31417aa1209f470a742bdabbe5d04a00973943b49c109bbe0cee92e7

Observation 956adcb4-f2cb-4e1f-991c-50c6418120c3 · inbound

GigaChat Audio: Time-aware Large Audio Language Model cites this paper.

GigaChat Audio: Time-aware Large Audio Language Model MOSS Transcribe Diarize Technical Report

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-14T12:07:39.817307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:a10bc158929a9eabddd17afbcb994b41408c90bdbe92a54bd6e64ead2872be98