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Paper Citation Record · LEDGER

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.13158.

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

pith.paper-citation-record.v1
2607.13158 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:05:31.672072Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

32 of 32 outbound references displayed

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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 0e454bf9-a3fe-40d1-8d34-be1a7469dfbd · outbound

This paper cites Simulmt to simulst: Adapting simul- taneous text translation to end-to-end simultaneous speech translation,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Simulmt to simulst: Adapting simul- taneous text translation to end-to-end simultaneous speech translation,

Reference 1

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source=pdf_text observed=2026-08-02T06:05:29.693441Z digest=sha256:b5a59be840ca51d24ee9845950b00e0bdf0be7bca8761f857bdf0371d4fdfaa5

Observation ead78c62-1543-49c7-b4a1-6f1e7102bcc6 · outbound

This paper cites Streaming simultaneous speech translation with augmented memory transformer,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Streaming simultaneous speech translation with augmented memory transformer,

Reference 2

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source=pdf_text observed=2026-08-02T06:05:29.734189Z digest=sha256:1d0ac877a9e86b2941cc8cd58cd6fb34b0281abd1be0abe804753f5cd07c0274

Observation 3e43013d-057b-4028-80b2-404fd4060c4e · outbound

This paper cites GPT-4 Technical Report.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach GPT-4 Technical Report

Reference 3

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source=pdf_text observed=2026-08-02T06:05:29.793854Z digest=sha256:b78f5f1b337213e2738c22514411a4ebbdc236aaa7fbe99eb7eabc0046e3e55d

Observation f2898b45-6591-4275-bad8-a6766a4446fe · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 4

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source=pdf_text observed=2026-08-02T06:05:29.859793Z digest=sha256:cbb0967c54b0b9274a0702f99c13b8445b1d58076e48b185a46bdc3847db9024

Observation 680b19be-809e-41f4-bd11-8f4a547484bb · outbound

This paper cites DeepSeek-V3 Technical Report.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach DeepSeek-V3 Technical Report

Reference 5

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source=pdf_text observed=2026-08-02T06:05:29.960245Z digest=sha256:72896b4f4f61377134cc6a1905a439c0db6dbea2b2c25dafa420375cbbe289eb

Observation c96cb376-c040-4059-8ea4-a71ec187ebc5 · outbound

This paper cites Gemma 3 Technical Report.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Gemma 3 Technical Report

Reference 6

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source=pdf_text observed=2026-08-02T06:05:30.032147Z digest=sha256:ea0c60c7607c5f4dd19a30574c9d9f797c43bfda0971ad89881f639c1c481338

Observation e785e207-74d2-4408-b199-da7bf1cb15a8 · outbound

This paper cites Qwen3 Technical Report.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Qwen3 Technical Report

Reference 7

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source=pdf_text observed=2026-08-02T06:05:30.087645Z digest=sha256:494e225d00fe11ec155f2bedc3cfecde26c24a7ff24da82f4c33a3b2292afcc6

Observation ba3c83a5-ce4b-4441-ab03-311edf99140f · outbound

This paper cites Stacl: Simultaneous translation with implicit anticipation and controllable latency using prefix-to-prefix framework,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Stacl: Simultaneous translation with implicit anticipation and controllable latency using prefix-to-prefix framework,

Reference 8

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source=pdf_text observed=2026-08-02T06:05:30.155103Z digest=sha256:6df042681d5cabd429a286e6f4873e07301fac7d3815e4351a304f48e8be7125

Observation bc2ff025-a59e-4d37-9d5c-b17be34d55a5 · outbound

This paper cites Monotonic infinite lookback attention for simulta- neous machine translation,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Monotonic infinite lookback attention for simulta- neous machine translation,

Reference 9

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source=pdf_text observed=2026-08-02T06:05:30.218904Z digest=sha256:49fa9a312bf670be0cdffa2bf72b3e52a6de5e055ff17afd94657b0dc25c84fd

Observation c81a6c7a-fe1a-45fd-a582-9682941270b5 · outbound

This paper cites Monotonic Chunkwise Attention.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Monotonic Chunkwise Attention

Reference 10

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source=pdf_text observed=2026-08-02T06:05:30.314779Z digest=sha256:bd87fc9df29d6aa5a927be19065181365ddf8e3027385e9bd08259e5052ea87a

Observation c3c5f647-6f99-4aaf-a102-59ee0bb45053 · outbound

This paper cites Monotonic Multihead Attention.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Monotonic Multihead Attention

Reference 11

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source=pdf_text observed=2026-08-02T06:05:30.367820Z digest=sha256:ca4085d6077908792e02ebf9a434c0201fbc1b014d64ac50409fd18274cc8704

Observation 02525748-b42b-4e15-8801-faf2277c47ef · outbound

This paper cites Re-translation versus streaming for simultaneous translation,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Re-translation versus streaming for simultaneous translation,

Reference 12

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source=pdf_text observed=2026-08-02T06:05:30.428271Z digest=sha256:647b80c3fffc1118876a617f734f6d131505cb8531895cd3c4f0b671c8cb2090

Observation 8c60cc89-088b-4a4a-b3de-ac89d7708050 · outbound

This paper cites Re-translation strategies for long form, simultaneous, spoken language translation,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Re-translation strategies for long form, simultaneous, spoken language translation,

Reference 13

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source=pdf_text observed=2026-08-02T06:05:30.465290Z digest=sha256:3d34dbc1040357f9a79b4e4d12a067effa9ed2736967df313de2ab030399ed18

Observation 7b67829f-6ee1-4396-8983-3e9373f64746 · outbound

This paper cites Infinisst: Simultaneous translation of unbounded speech with large language model,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Infinisst: Simultaneous translation of unbounded speech with large language model,

Reference 15

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source=pdf_text observed=2026-08-02T06:05:30.568407Z digest=sha256:d5e709bec7774731693dcfe82bb6bf7f01ec36058394f7adb83512174287299d

Observation c0023d1f-136c-49fe-b96e-71bcdaf77a12 · outbound

This paper cites FASST: Fast LLM-based Simultaneous Speech Translation.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach FASST: Fast LLM-based Simultaneous Speech Translation

Reference 16

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source=pdf_text observed=2026-08-02T06:05:30.655900Z digest=sha256:cd49dd96e91bb95c55353b5aa6c0a60c9a33dd197d61f4bfd08c4759f2365a83

Observation 107c6913-1d3f-4d2b-81fc-d468a841ee67 · outbound

This paper cites Cometkiwi: Ist-unbabel 2022 submission for the quality estimation shared task,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Cometkiwi: Ist-unbabel 2022 submission for the quality estimation shared task,

Reference 17

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source=pdf_text observed=2026-08-02T06:05:30.709277Z digest=sha256:b03ae597bf231cca685b4ebac5f7871b3b06b7320fd8b8550a9deb8ac7cb0d42

Observation 87fa4254-0426-4a6f-9828-ba6bb2e846b1 · outbound

This paper cites Simuleval: An evaluation toolkit for simultaneous translation,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Simuleval: An evaluation toolkit for simultaneous translation,

Reference 18

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source=pdf_text observed=2026-08-02T06:05:30.766270Z digest=sha256:bdb48a7eaebe51b4dcecbf619bd48bae6f86d92a93582ba6a2f557699678393d

Observation f2b4f1b4-8abb-4d17-b2c3-e66ab3a2f0ad · outbound

This paper cites Simulspeech: End-to-end simultaneous speech to text translation,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Simulspeech: End-to-end simultaneous speech to text translation,

Reference 19

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source=pdf_text observed=2026-08-02T06:05:30.810114Z digest=sha256:a78b3fa238e0649c35c0fd6ee361c078b91f719ceb95fd6801ab1e2330f52d15

Observation 03cbfcdf-9c5e-4e94-ad7a-3d7bafd991cc · outbound

This paper cites Align, write, re-order: Explainable end-to-end speech translation via operation sequence generation,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Align, write, re-order: Explainable end-to-end speech translation via operation sequence generation,

Reference 20

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source=pdf_text observed=2026-08-02T06:05:30.865370Z digest=sha256:fa24b67496b18a10c45211dcaf7b6321a9518a2b797c86c3c6f760906991050b

Observation c14e19fb-cd2e-4324-b2f4-ea01c980d945 · outbound

This paper cites Direct simultaneous speech- to-text translation assisted by synchronized streaming asr,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Direct simultaneous speech- to-text translation assisted by synchronized streaming asr,

Reference 21

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source=pdf_text observed=2026-08-02T06:05:30.942796Z digest=sha256:972995b42f1deefd3024e389339997874a48a59427b35bffbb3b078417a12c7f

Observation 86fb56f6-10cf-4757-9bf9-7ebedbcadd66 · outbound

This paper cites Improving simultaneous translation by incorporating pseudo-references with fewer reorderings,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Improving simultaneous translation by incorporating pseudo-references with fewer reorderings,

Reference 22

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source=pdf_text observed=2026-08-02T06:05:31.008217Z digest=sha256:6b8bd649daae2107a8ec355f806ca75a3df1052dad200cc862ec45ecf6d2cc83

Observation bd874a67-328d-4f09-9039-8aec04436b5b · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 23

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source=pdf_text observed=2026-08-02T06:05:31.054065Z digest=sha256:c49319e20b9e1cacad5de8ee185081c6848440c57cc56dbf59545358e0a7e904

Observation 85095951-4a55-4231-9567-3c93be094dd4 · outbound

This paper cites Large-Scale Streaming End-to-End Speech Translation with Neural Transducers.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

Reference 24

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source=pdf_text observed=2026-08-02T06:05:31.096339Z digest=sha256:79f25067cea0b4ee0edc06e3239e7dea85f2ef4421e1ca0b00bc6706717023b0

Observation a0736aa5-53ca-4c00-9284-b314a4808713 · outbound

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

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Conformer: Convolution- augmented Transformer for speech recognition,

Reference 25

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source=pdf_text observed=2026-08-02T06:05:31.144798Z digest=sha256:9e4cdc173c43cc5b3024f7aa5daf75b91890bc9661d7edf19975bfed09d32b10

Observation 86114df3-785f-4795-b29d-79c09c267a3b · outbound

This paper cites Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment

Reference 26

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source=pdf_text observed=2026-08-02T06:05:31.228571Z digest=sha256:138eac76c5e24e28abd2d65f279a898773f45062a0356ace929c0d08de2097fa

Observation 57869bbb-429b-4c04-8be6-15dd42f7a0bc · outbound

This paper cites Covost 2 and massively mul- tilingual speech translation,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Covost 2 and massively mul- tilingual speech translation,

Reference 27

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source=pdf_text observed=2026-08-02T06:05:31.310001Z digest=sha256:4df10f256535141e18ce922d806092cbe3795b947010b1baadd490e15c9fc2e6

Observation e84d7726-6585-479f-9788-f48339efff73 · outbound

This paper cites A call for clarity in reporting BLEU scores,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach A call for clarity in reporting BLEU scores,

Reference 28

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source=pdf_text observed=2026-08-02T06:05:31.365029Z digest=sha256:bcfe8f586971666e6836356942a86507a8f04823b163f6239fe5a75091f1583d

Observation c18a87bc-c1b8-4803-982d-9602dd51ab89 · outbound

This paper cites Low-latency sequence-to-sequence speech recognition and translation by partial hypothesis selection,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Low-latency sequence-to-sequence speech recognition and translation by partial hypothesis selection,

Reference 29

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source=pdf_text observed=2026-08-02T06:05:31.412067Z digest=sha256:64f79cff01fa93e9c7cf45810c6ac6ec2bd0b230e2338cf5f2a66d2f3893aa7b

Observation 5f077d30-ee70-4eb3-86d7-c04819ec94c7 · outbound

This paper cites CUNI-KIT system for simultaneous speech translation task at IWSLT 2022,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach CUNI-KIT system for simultaneous speech translation task at IWSLT 2022,

Reference 30

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source=pdf_text observed=2026-08-02T06:05:31.488168Z digest=sha256:278fd1746b07ecc9cfc8efc7cfcf0d7952a92faa5ab8910f6ed7574c01c7d7cb

Observation 9bf0aeea-be83-4d03-a71b-1bfba3be0992 · outbound

This paper cites Re-translation versus streaming for simultaneous translation,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Re-translation versus streaming for simultaneous translation,

Reference 31

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source=pdf_text observed=2026-08-02T06:05:31.540467Z digest=sha256:733cae321ed9c6b657d4223ac65634ca5ed2a38bab7ab0c5e32d2463e4b15a9e

Observation d51e4e96-d0cf-4303-8b09-e03d0a40bc5d · outbound

This paper cites Simultaneous neural machine translation with prefix alignment,.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Simultaneous neural machine translation with prefix alignment,

Reference 32

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source=pdf_text observed=2026-08-02T06:05:31.619546Z digest=sha256:983b1feb283b1c353a760a6aeb1e93fcf28aec958a4223767d8a9c3709c47182

Observation 3b960464-af5c-4be7-93ee-8618a1cb5f8e · outbound

This paper cites Efficient and Adaptive Simultaneous Speech Translation with Fully Unidirectional Architecture.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Efficient and Adaptive Simultaneous Speech Translation with Fully Unidirectional Architecture

Reference 33

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source=pdf_text observed=2026-08-02T06:05:31.672072Z digest=sha256:3bb5e5c90edefda674bca7c589c52416ef37526376ff3bd3c066f28a72e08c87

Pith citing papers

No inbound Pith citation observations are available.