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Paper Citation Record · LEDGER

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2412.16464.

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

pith.paper-citation-record.v1
2412.16464 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:37:52.447023Z

measured 36 of 36 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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  • verified fuzzy28
  • unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d705194c-053b-43b4-908d-e529668ab641 · outbound

This paper cites Connection- ist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Connection- ist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,

Reference 1

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verified fuzzy
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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.

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Observation 3d066e78-d834-4786-8508-78033b1c5e4e · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Sequence Transduction with Recurrent Neural Networks

Reference 2

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unresolved
no resolver link, observed 2026-08-11T10:37:52.333777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7251f8ef-0ed3-419a-94e3-5182cae89638 · outbound

This paper cites Label-synchronous neural transducer for adaptable online E2E speech recognition,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Label-synchronous neural transducer for adaptable online E2E speech recognition,

Reference 3

Resolution
verified fuzzy
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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.

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Observation ac1491f8-0e6b-4e2e-a7f6-c6ab3f6c4a5a · outbound

This paper cites RNN- transducer with stateless prediction network,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition RNN- transducer with stateless prediction network,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.909869Z

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.

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Observation 880854f8-a8eb-44c9-9dba-daeb0ad17b1d · outbound

This paper cites Factorized neural transducer for efficient language model adaptation,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Factorized neural transducer for efficient language model adaptation,

Reference 5

Resolution
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raw_fallback, observed 2026-08-11T10:37:52.900070Z

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.

source=pdf_text observed=2026-08-11T10:37:52.345900Z digest=sha256:7333bb9cd26d793f56a76881d3853f528971da849e1a4531ea0f77ae6b49e74c

Observation de4fb0d3-c254-4a71-987f-9407d5bcd97e · outbound

This paper cites Decoupled structure for improved adaptability of end-to-end models,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Decoupled structure for improved adaptability of end-to-end models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.890459Z

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.

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Observation 59bc5c08-aa35-46ee-b23c-f7d9a18522ee · outbound

This paper cites Modular hybrid autoregressive transducer,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Modular hybrid autoregressive transducer,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.880158Z

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.

source=pdf_text observed=2026-08-11T10:37:52.353229Z digest=sha256:6a87ad283bab239e1d4734b4c6d3a012d9e07660570284198d7dd117ff8cdbf9

Observation 938c6c71-eed4-4856-8721-770c548a53d6 · outbound

This paper cites Effective internal language model training and fusion for factorized transducer model,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Effective internal language model training and fusion for factorized transducer model,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.869731Z

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.

source=pdf_text observed=2026-08-11T10:37:52.356543Z digest=sha256:92b59a459c4b251ebe9443a403ef0b85d266d32d44b9064a3725fdd6b1c96bbd

Observation 97c12727-a2f5-4cbb-b7d9-2fffab1bfbfe · outbound

This paper cites Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models,

Reference 9

Resolution
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raw_fallback, observed 2026-08-11T10:37:52.859731Z

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.

source=pdf_text observed=2026-08-11T10:37:52.359711Z digest=sha256:716681331a0111cb916d1c7245704adafa61d983a66d0b37c08303601c4bfbf8

Observation 443e0482-1a30-42a9-9713-3794986ff2fc · outbound

This paper cites Language models are few-shot learners,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Language models are few-shot learners,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.849488Z

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.

source=pdf_text observed=2026-08-11T10:37:52.362828Z digest=sha256:5e773400804da46f2d421d8107b059aa52593bd350e10d62ee628696bbea6587

Observation 0aed8e7b-fa06-4c51-a3b2-ecc550c7094f · outbound

This paper cites LLaMa 2: Open foundation and fine-tuned chat models,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition LLaMa 2: Open foundation and fine-tuned chat models,

Reference 11

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-11T10:37:52.365522Z digest=sha256:1dacf6e368da22fad6ce5dbd2793abac07a525e702bc702eef7d1fc7383ea920

Observation c644a6d7-ca10-44aa-af0e-f7764a360606 · outbound

This paper cites The Llama 3 Herd of Models.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition The Llama 3 Herd of Models

Reference 12

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unresolved
no resolver link, observed 2026-08-11T10:37:52.368298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:37:52.368298Z digest=sha256:cf802e2c77861c17fd27be4be4cedb515112a869673b1879edc4a7ac1c870a11

Observation e0f7a0dd-9fd0-4a46-8616-541f638bd3d8 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Training language models to follow instructions with human feedback,

Reference 13

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-11T10:37:52.371666Z digest=sha256:363f6e2e93f04dee752134ac12a4ed1c9d4370f2528e2059ee7e0d505b6a2a64

Observation 6a79d487-6149-4be3-82d6-4899da5a236f · outbound

This paper cites Prompting large language models with speech recognition abilities,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Prompting large language models with speech recognition abilities,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.822711Z

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.

source=pdf_text observed=2026-08-11T10:37:52.374466Z digest=sha256:2ca211a03dab54ed16b03b80e57dc1dd3d3fe630b09f6896696fc9f2604646d8

Observation 6407aae9-8fe6-4074-9b98-c47a00b061c2 · outbound

This paper cites Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning

Reference 15

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unresolved
no resolver link, observed 2026-08-11T10:37:52.377049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:37:52.377049Z digest=sha256:ca4169c3305633044bc9a599fc1bff08221b97e62c2f2f0ee877de4ee559ab22

Observation 4b1b3c63-ca64-4e2c-8645-648216f33ec6 · outbound

This paper cites BESTOW: Efficient and Streamable Speech Language Model with the Best of Two Worlds in GPT and T5.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition BESTOW: Efficient and Streamable Speech Language Model with the Best of Two Worlds in GPT and T5

Reference 16

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no resolver link, observed 2026-08-11T10:37:52.380188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:37:52.380188Z digest=sha256:828b80fca612f7a4b9e69509cf27b686d487fbc8db49b310d9a99343eda4e594

Observation a996af72-2e1f-4f58-b206-f488d986820d · outbound

This paper cites Zero-shot tokenizer transfer,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Zero-shot tokenizer transfer,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T10:37:52.383644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:37:52.383644Z digest=sha256:dd230fb9e159b31ad8d77c2ac56e696954b7c64ae10b1435d296250b43c17c72

Observation f78bf4a3-4b8b-4eb4-8e89-de300be132ea · outbound

This paper cites Improving non-autoregressive end-to-end speech recognition with pre- trained acoustic and language models,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Improving non-autoregressive end-to-end speech recognition with pre- trained acoustic and language models,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.813468Z

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.

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Observation aed77222-d54b-4779-a6cc-fa8f14ff5dc7 · outbound

This paper cites Getting the most out of your tokenizer for pre-training and domain adaptation.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Getting the most out of your tokenizer for pre-training and domain adaptation

Reference 19

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unresolved
no resolver link, observed 2026-08-11T10:37:52.390272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c66c2977-efaf-41fb-895a-e0463932ed03 · outbound

This paper cites Efficient minimum word error rate training of RNN- transducer for end-to-end speech recognition,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Efficient minimum word error rate training of RNN- transducer for end-to-end speech recognition,

Reference 20

Resolution
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raw_fallback, observed 2026-08-11T10:37:52.803237Z

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.

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Observation e289df71-6126-4c7f-87bf-a710f98fada0 · outbound

This paper cites LibriSpeech: an ASR corpus based on public domain audio books,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition LibriSpeech: an ASR corpus based on public domain audio books,

Reference 21

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raw_fallback, observed 2026-08-11T10:37:52.793201Z

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.

source=pdf_text observed=2026-08-11T10:37:52.397301Z digest=sha256:8ef1c948f65a51d564719012514ccf5d3067e6a8d679b7cb15090736ef98918c

Observation e3928940-6725-4c4a-9c6e-e1a4a06d2ed5 · outbound

This paper cites MLS: A large-scale multilingual dataset for speech research,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition MLS: A large-scale multilingual dataset for speech research,

Reference 22

Resolution
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raw_fallback, observed 2026-08-11T10:37:52.782678Z

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.

source=pdf_text observed=2026-08-11T10:37:52.400600Z digest=sha256:13eeac0ad3c18aca4961db2c6b98da1ec93823b232f0f96b1ddd3edb0d8f3879

Observation c200bd0f-53bf-480f-a7dd-9dbf8ce8e635 · outbound

This paper cites Speech ReaLLM -- Real-time Streaming Speech Recognition with Multimodal LLMs by Teaching the Flow of Time.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Speech ReaLLM -- Real-time Streaming Speech Recognition with Multimodal LLMs by Teaching the Flow of Time

Reference 23

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no resolver link, observed 2026-08-11T10:37:52.403791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:37:52.403791Z digest=sha256:e37d2dd73cd0dfcff397e04f0409783c6d529dbf9b79655f3c14a56cd6bc539c

Observation a884769e-bc77-4026-b8ef-54b81ba2eca0 · outbound

This paper cites Decoder-only Architecture for Streaming End-to-end Speech Recognition.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Decoder-only Architecture for Streaming End-to-end Speech Recognition

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T10:37:52.407658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:37:52.407658Z digest=sha256:6f0241c5fdcc3f2be9b5ed3a65572d2abf8f51506d448b01689fc80a645e66dd

Observation 6cd5edc6-5cec-476b-84ff-49ef6edf10a3 · outbound

This paper cites SimulMT to SimulST: Adapting simultaneous text translation to end-to-end simultaneous speech trans- lation,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition SimulMT to SimulST: Adapting simultaneous text translation to end-to-end simultaneous speech trans- lation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.772692Z

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.

source=pdf_text observed=2026-08-11T10:37:52.411307Z digest=sha256:167d416020f389997b157d23dc7ad55601e7fad59f5d99331574990d1e05cbcc

Observation a9963dcf-4a7f-49ce-8ef2-cb3c12f18801 · outbound

This paper cites Label-synchronous neural transducer for E2E simultaneous speech translation,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Label-synchronous neural transducer for E2E simultaneous speech translation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.762728Z

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.

source=pdf_text observed=2026-08-11T10:37:52.414649Z digest=sha256:739f61d72d589a8470c3ef07504f6f5f192721bda34b3aa195d5475d65d17e77

Observation bb484a72-ac6d-4659-aafb-96ec54eb16db · outbound

This paper cites FOCUS: effective embedding initializa- tion for monolingual specialization of multilingual models,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition FOCUS: effective embedding initializa- tion for monolingual specialization of multilingual models,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.752395Z

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.

source=pdf_text observed=2026-08-11T10:37:52.417853Z digest=sha256:b6ef458f3fd0c877178e70906b59e240c05c94e42f2fc4cbc4275ac9de97991b

Observation eaac4615-6f6e-4ddd-99fb-72c249af7238 · outbound

This paper cites Fast vocabulary transfer for language model compression,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Fast vocabulary transfer for language model compression,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.741906Z

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.

source=pdf_text observed=2026-08-11T10:37:52.421232Z digest=sha256:aefc2db5e3c34c73f608269a3522f686ecf845c80f684f9e4d7e502acff33c7e

Observation 7b2d49e8-473c-4283-a74a-d4f76a24bea6 · outbound

This paper cites WECHSEL: effective initialization of subword embeddings for cross-lingual transfer of mono- lingual language models,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition WECHSEL: effective initialization of subword embeddings for cross-lingual transfer of mono- lingual language models,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.731804Z

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.

source=pdf_text observed=2026-08-11T10:37:52.424731Z digest=sha256:3cba715a64ad965733746c7417279d6a7a6a5c41c77350ebfd7ca0df40a0b595

Observation 126e169d-4a51-444e-aac1-76a61cbfdf2e · outbound

This paper cites Model reprogramming: Resource-efficient cross-domain machine learning,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Model reprogramming: Resource-efficient cross-domain machine learning,

Reference 30

Resolution
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raw_fallback, observed 2026-08-11T10:37:52.721518Z

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.

source=pdf_text observed=2026-08-11T10:37:52.427891Z digest=sha256:d49b3f256bfa3aa0216ac63687c84dc495cd5475b0782c34ed44e787ba0c291e

Observation d8450b90-d9dc-49ac-af1c-17cbe676092a · outbound

This paper cites Sequence- discriminative training of deep neural networks,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Sequence- discriminative training of deep neural networks,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.711177Z

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.

source=pdf_text observed=2026-08-11T10:37:52.431045Z digest=sha256:b4077a075f724985173c35cd9d7818f1f78ada001bf8aecd2498d4b2e98de5d1

Observation e84b2079-b909-4a4c-9f59-3fa352fe60f1 · outbound

This paper cites Minimum phone error and I-smoothing for improved discriminative training,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Minimum phone error and I-smoothing for improved discriminative training,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.700818Z

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.

source=pdf_text observed=2026-08-11T10:37:52.434350Z digest=sha256:d41cfba740b70e0186e13672c74a408077ca06914e0cdf5d3eac5dc5270f34ad

Observation 675bdc5b-fec4-43a5-a5ab-7f5caf20010c · outbound

This paper cites Interdependence of language models and discriminative training,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Interdependence of language models and discriminative training,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.690989Z

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.

source=pdf_text observed=2026-08-11T10:37:52.437608Z digest=sha256:e086092c4b2d5d3c34b45d076aa911a2fde05163f9754b83773f8e1275a1ce8e

Observation 376ec7fb-a60b-4da0-b115-2ded029f88d3 · outbound

This paper cites Component fusion: Learning replaceable language model component for end-to-end speech recognition system,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Component fusion: Learning replaceable language model component for end-to-end speech recognition system,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.681411Z

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.

source=pdf_text observed=2026-08-11T10:37:52.440744Z digest=sha256:5e147a0e7d2937182677605fc2a8cfc13869ef39b5284e6435c5c9abbbff6b1b

Observation 832c63e5-71be-4781-9cce-3d1d871ce25a · outbound

This paper cites Emformer: Efficient memory transformer based acoustic model for low latency streaming speech recognition,.

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Emformer: Efficient memory transformer based acoustic model for low latency streaming speech recognition,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.671261Z

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.

source=pdf_text observed=2026-08-11T10:37:52.443889Z digest=sha256:495bcf8a73ed2db71ca3c69b6f576c6df6b4b7ecf721bc73f9daccd3937055fe

Observation d844b708-258f-4123-951f-054cd7e2a9f7 · outbound

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

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition Conformer: Convolution- augmented transformer for speech recognition,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:37:52.660918Z

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.

source=pdf_text observed=2026-08-11T10:37:52.447023Z digest=sha256:a926fd91ef6b9a8b416f989df6e55aa835ff67cafa3e72901f787f2fcccea2c2

Pith citing papers

No inbound Pith citation observations are available.