Paper Citation Record · LEDGER

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models

As of 15 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2506.12059.

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

pith.paper-citation-record.v1
2506.12059 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:31.681017Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:27.194061Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:09:31.948054Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy26
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f166041-70c8-4788-8014-850c38db052e · outbound

This paper cites Existing methods include permutation invariant training [1], heuristic error assignment [2], and serialized output training (SOT) [3].

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Existing methods include permutation invariant training [1], heuristic error assignment [2], and serialized output training (SOT) [3]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:36.991259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b461f765-2c49-4a8f-8416-d99f9493532f · outbound

This paper cites CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:09:32.043276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7ae2404-c86f-405f-8739-31362014eaa8 · outbound

This paper cites Transcribe speech to text.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Transcribe speech to text

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:36.796717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e54c0ba-37f6-4dcb-9557-2c117dee0b42 · outbound

This paper cites an unresolved cited work.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:36.571332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c807d938-5570-49a6-a8ff-916adecf83ca · outbound

This paper cites an unresolved cited work.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:36.250615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca569c3a-fed5-442f-b30d-4f958f595b67 · outbound

This paper cites Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:35.971511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61276b1c-657c-4484-b73c-9543a418336e · outbound

This paper cites Streaming end-to-end multi-talker speech recognition,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Streaming end-to-end multi-talker speech recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:35.713430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f75606b1-65c9-4335-8ba4-14a347eea713 · outbound

This paper cites Serialized speech infor- mation guidance with overlapped encoding separation for multi- speaker automatic speech recognition,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Serialized speech infor- mation guidance with overlapped encoding separation for multi- speaker automatic speech recognition,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:35.542048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9fc9649-8968-43f7-8e7f-1a327b65b689 · outbound

This paper cites Enhancing recognition of rare words in ASR through error detection and context-aware error correc- tion,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Enhancing recognition of rare words in ASR through error detection and context-aware error correc- tion,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:35.278660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2d0e8287-0267-4ee5-9125-e6c945418fca · outbound

This paper cites Deep shallow fusion for RNN-T personalization,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Deep shallow fusion for RNN-T personalization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:28.271198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0dffb9e-a7f5-4470-9c27-afee65a11ed8 · outbound

This paper cites Graph neural networks for contextual ASR with the tree-constrained pointer generator,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Graph neural networks for contextual ASR with the tree-constrained pointer generator,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:35.109104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec71b4a3-470b-461b-a447-28badc114258 · outbound

This paper cites ED-CEC: Improving rare word recognition using ASR postprocessing based on error detection and context-aware error correction,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models ED-CEC: Improving rare word recognition using ASR postprocessing based on error detection and context-aware error correction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:34.826738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e66b1950-6ca7-40e5-8891-fd0454c628fb · outbound

This paper cites MF-AED-AEC: Speech emo- tion recognition by leveraging multimodal fusion, ASR error de- tection, and ASR error correction,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models MF-AED-AEC: Speech emo- tion recognition by leveraging multimodal fusion, ASR error de- tection, and ASR error correction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:34.676736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2515c3c8-c2f3-4ccc-8f96-fab159f99164 · outbound

This paper cites PMF-CEC: Phoneme-augmented multimodal fusion for context-aware ASR error correction with error-specific selective decoding,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models PMF-CEC: Phoneme-augmented multimodal fusion for context-aware ASR error correction with error-specific selective decoding,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:34.443019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a1f20979-b550-4282-b092-91f0057acbfd · outbound

This paper cites Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:29.130086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 742981cb-d519-4ac6-965e-c5f737cccefb · outbound

This paper cites An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:29.261712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ca27cd7-abd9-47e4-a07e-69644ea67af7 · outbound

This paper cites Large language model can transcribe speech in multi-talker scenarios with versatile instructions,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Large language model can transcribe speech in multi-talker scenarios with versatile instructions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:34.300344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ac6585b-72d9-48c4-98f5-6855240ee6e9 · outbound

This paper cites Advancing multi-talker ASR performance with large language models,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Advancing multi-talker ASR performance with large language models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:34.143208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5e973967-77ff-41fb-912b-193968c8f823 · outbound

This paper cites Mala- ASR: Multimedia-assisted LLM-based ASR,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Mala- ASR: Multimedia-assisted LLM-based ASR,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:33.950566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 40f0caa1-7973-473a-ab2a-3615434154bc · outbound

This paper cites Seri- alized output training for end-to-end overlapped speech recogni- tion,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Seri- alized output training for end-to-end overlapped speech recogni- tion,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:29.705109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 937de7f4-5dc5-4a00-8271-8539a28c7050 · outbound

This paper cites WavLLM: Towards ro- bust and adaptive speech large language model,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models WavLLM: Towards ro- bust and adaptive speech large language model,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:33.822269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01f6460a-ca94-466a-bb68-6d402333d7e2 · outbound

This paper cites Two stage contextual word filtering for context bias in unified stream- ing and non-streaming transducer,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Two stage contextual word filtering for context bias in unified stream- ing and non-streaming transducer,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:33.704550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fda5c2b6-fee4-466c-a53e-d8c6cf3e0343 · outbound

This paper cites Contextualized end-to-end speech recognition with contextual phrase prediction network,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Contextualized end-to-end speech recognition with contextual phrase prediction network,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:34.966539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2586af90-b68e-412d-b6ce-1a4e13a23403 · outbound

This paper cites Adaptive contextual biasing for transducer based streaming speech recognition,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Adaptive contextual biasing for transducer based streaming speech recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:33.549118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62dea830-2b92-425c-8925-793a371dc7b9 · outbound

This paper cites CTC-assisted LLM-based contextual ASR,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models CTC-assisted LLM-based contextual ASR,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:33.394411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6313a98-478d-4d11-9d1b-2ac9a3689ad8 · outbound

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

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models WavLM: Large-scale self- supervised pre-training for full stack speech processing,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:30.324763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ba2566a-cde5-4b61-8f0e-e169c6c43470 · outbound

This paper cites Vicuna: An open- source chatbot impressing gpt-4 with 90%* chatgpt quality,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Vicuna: An open- source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:33.227424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f595921b-1348-44e9-b8f7-90e00f82821e · outbound

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

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:30.543058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c32bd28-7c18-471f-95a0-0c0fba849fb7 · outbound

This paper cites Decoupled Weight Decay Regularization.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Decoupled Weight Decay Regularization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:30.661940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9e4d756-8332-4fb5-a2e6-f07c472be072 · outbound

This paper cites Multi-speaker ASR combining non-autoregressive conformer CTC and conditional speaker chain,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Multi-speaker ASR combining non-autoregressive conformer CTC and conditional speaker chain,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:33.080521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b655d788-8d15-4223-9a56-faca7f3cf113 · outbound

This paper cites SURT 2.0: Advances in transducer-based multi-talker speech recognition,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models SURT 2.0: Advances in transducer-based multi-talker speech recognition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:32.956297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9f657fd-e3a5-423d-b32a-b959443a57b8 · outbound

This paper cites LibriMix: An Open-Source Dataset for Generalizable Speech Separation.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:31.011992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac9a3aa-e557-4698-acc1-eb4626949113 · outbound

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

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models The AMI meeting corpus: A pre-announcement,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:32.829565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a94d443-1457-4b92-a0de-8187da9f7fbb · outbound

This paper cites Lib- rispeech: an ASR corpus based on public domain audio books,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Lib- rispeech: an ASR corpus based on public domain audio books,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:32.651434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99f2038c-8547-442a-aa41-55d50fc30471 · outbound

This paper cites Wham!: Extending speech separation to noisy environments,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Wham!: Extending speech separation to noisy environments,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:32.515155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ddf434f9-8855-43b3-abf6-a52f9b21ab96 · outbound

This paper cites Acoustic beamform- ing for speaker diarization of meetings,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Acoustic beamform- ing for speaker diarization of meetings,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:32.378574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 535de2c2-7f28-4551-9321-9a34cc7d17f2 · outbound

This paper cites Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:31.575701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df68e98-6b42-4f22-a91e-d6ca83afadfe · outbound

This paper cites Tree-constrained pointer generator with graph neural network encodings for contextual speech recognition,.

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models Tree-constrained pointer generator with graph neural network encodings for contextual speech recognition,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:32.253993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation b461f765-2c49-4a8f-8416-d99f9493532f · inbound