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Paper Citation Record · LEDGER

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.18181.

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

pith.paper-citation-record.v1
2507.18181 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:42:56.200787Z

measured 35 of 35 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

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation de92f81f-faf7-44ac-90ec-95207624deb4 · outbound

This paper cites GPT-4 Technical Report.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-06T14:42:55.990819Z digest=sha256:21f66fa05e44ebe5055760b47777e3fd3516e1af411954fa5b8d58220cdcb697

Observation 2e04d542-8800-423e-bdfc-69de61ad0d76 · outbound

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

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding LLaMA: Open and Efficient Foundation Language Models

Reference 2

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source=pdf_text observed=2026-08-06T14:42:55.998668Z digest=sha256:549fa8607183d129ed8abd208bcfd325346fe07564053de4d6720a1e7ddc8e70

Observation 01e6fea3-b51b-4b12-930c-720a8b173426 · outbound

This paper cites Toolqa: A dataset for llm question answering with external tools,.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Toolqa: A dataset for llm question answering with external tools,

Reference 3

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source=pdf_text observed=2026-08-06T14:42:56.004793Z digest=sha256:a8372439a37b2341089bd3d93c0dc18afce16fafcc497fa33b7f432a2c418617

Observation 1c4b2c8a-fd7c-4f30-8c15-462075c4fce3 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 4

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source=pdf_text observed=2026-08-06T14:42:56.011964Z digest=sha256:5dad63699cec2885c085faf3078fd766840113212f8a0c3a21a3ba386d580c8b

Observation bc724691-917e-4c1d-8afa-cf06cafa5ba3 · outbound

This paper cites On decoder-only architecture for speech-to-text and large language model integration,.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding On decoder-only architecture for speech-to-text and large language model integration,

Reference 5

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source=pdf_text observed=2026-08-06T14:42:56.020418Z digest=sha256:b7d637071dea6dd83bc72fab36c1ae6d04c9e4074cabc2daef5e990dfcef2a29

Observation 21734548-2019-4bc3-8084-296e92507613 · outbound

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

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Speech ReaLLM -- Real-time Streaming Speech Recognition with Multimodal LLMs by Teaching the Flow of Time

Reference 6

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source=pdf_text observed=2026-08-06T14:42:56.029693Z digest=sha256:3d10701b3b9e1d6ce57c74e7cc0d01c407e2826500d734d143ed56ae765f48f7

Observation b80dc020-9196-44e7-8b93-c1503b356253 · outbound

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

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

Reference 7

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source=pdf_text observed=2026-08-06T14:42:56.037314Z digest=sha256:41f11fbc7c1071f74bd8752ed31107c42b216bae87d4c4b38e7a173bacdd5bea

Observation 65f20b7f-5213-4063-be88-bbe4978d02b0 · outbound

This paper cites LLaMA-Omni: Seamless Speech Interaction with Large Language Models.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Reference 8

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source=pdf_text observed=2026-08-06T14:42:56.043822Z digest=sha256:9972c4bd5a87c0f8198ff04a8361da7814af208b82993e7e1c170efec382edec

Observation e729f6ac-1491-41e4-a5c7-18a9eca2124d · outbound

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

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Prompting large language models with speech recognition abilities,

Reference 9

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source=pdf_text observed=2026-08-06T14:42:56.050084Z digest=sha256:52dc4e07decdd38a444dff7be6a31ffc7cb761b5b479608c84f283161e2d6270

Observation daa9695a-152c-4faf-8abb-2599c78ae90b · outbound

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

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding BESTOW: Efficient and Streamable Speech Language Model with the Best of Two Worlds in GPT and T5

Reference 10

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source=pdf_text observed=2026-08-06T14:42:56.055144Z digest=sha256:2b12d493647cd31aa35cc977142eb86d3fdd996277229d62e5fa2b99416ddc28

Observation fbf8372b-7af9-4290-8c7a-f53c317d8c70 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Accelerating Large Language Model Decoding with Speculative Sampling

Reference 11

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source=pdf_text observed=2026-08-06T14:42:56.060549Z digest=sha256:9d133bb806010a7beb13588bcb809f5f40ed5947288c5e4144ee292b4dda1665

Observation fdc72fae-8afb-4ddc-85bb-e7e56106503a · outbound

This paper cites Fast inference from transform- ers via speculative decoding,.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Fast inference from transform- ers via speculative decoding,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:42:56.066142Z digest=sha256:4c88e16164fc573c52e66418d512170c3bc8de7e086c90118c11b44a7bb0fd3e

Observation 24d2f468-67f1-4805-841e-a7bdb2402af4 · outbound

This paper cites SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

Reference 13

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source=pdf_text observed=2026-08-06T14:42:56.072232Z digest=sha256:46fcc4c9ce28cd9bfb5818dbe313f3d3595468e335f1f0bc05599e60ca5622e1

Observation 08d9a2c0-da64-4c02-ad38-d3f62d74b9d7 · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 14

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source=pdf_text observed=2026-08-06T14:42:56.078104Z digest=sha256:66c63b364a6023b1250e2a0f7936eae41fb7815d4ea49b644def1f3ff9d93b86

Observation 88326143-65d3-4c93-a2f4-f6479bdf695e · outbound

This paper cites EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Reference 15

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source=pdf_text observed=2026-08-06T14:42:56.083727Z digest=sha256:f3b7a6b37e27c293022a92088847c438629a869f39e771ff4c6296b5385f659c

Observation b1f4f612-a7f2-423b-97f4-69f78366719e · outbound

This paper cites DySpec: Faster Speculative Decoding with Dynamic Token Tree Structure.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding DySpec: Faster Speculative Decoding with Dynamic Token Tree Structure

Reference 16

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source=pdf_text observed=2026-08-06T14:42:56.088831Z digest=sha256:02a55cd81b424dc6baae64d892be887d2e2a96a4ef4108d6ef9f6b9d36d9f17f

Observation b228948d-24cb-4c9a-b9f9-dfd6464a26e7 · outbound

This paper cites Whisper in Medusa's Ear: Multi-head Efficient Decoding for Transformer-based ASR.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Whisper in Medusa's Ear: Multi-head Efficient Decoding for Transformer-based ASR

Reference 17

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source=pdf_text observed=2026-08-06T14:42:56.099285Z digest=sha256:28d4d6ad5a6f28365b9842a721a569139543c88f71b58d4e7ef6f0aa9f1146ed

Observation 4a12db20-3fba-404d-9755-e144de931249 · outbound

This paper cites Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Reference 18

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source=pdf_text observed=2026-08-06T14:42:56.105526Z digest=sha256:e0e0e47403bdbb773c9c2f349aece20a36af72591bc2eaba48c734b1312989b4

Observation 581e39d2-a2e8-4a33-9fa6-4007ec3be640 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 19

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source=pdf_text observed=2026-08-06T14:42:56.113650Z digest=sha256:9e99df0985e20cafba40d0606aafe9a42cc2473402be38b2eb14f922db75ee33

Observation a270a48d-e080-4856-923d-6cb749901da6 · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Robust speech recognition via large-scale weak supervi- sion,

Reference 20

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source=pdf_text observed=2026-08-06T14:42:56.119922Z digest=sha256:47b2a9058cc198396e72ecf2b19c762ca2ae9a1547762b35616ee6690c0e5da3

Observation 48df1ca7-cf0c-4c7f-a01b-8286b5a3a499 · outbound

This paper cites Qwen Technical Report.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Qwen Technical Report

Reference 21

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source=pdf_text observed=2026-08-06T14:42:56.125624Z digest=sha256:2067d81865b82f7d9ebe9120927a93658ee773fe53d6d4bc6d9103914aed7408

Observation 05d14811-e291-4952-8b7b-2341e71d1cb7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

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source=pdf_text observed=2026-08-06T14:42:56.131841Z digest=sha256:4ff270079f7b521650e55c4aee12370d6fcd60f38930a4fc3dcd3f160677f0bb

Observation a3fbdefc-9124-4558-89b6-5747d771b5c1 · outbound

This paper cites ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:42:56.137565Z digest=sha256:8c5ced226d93d2e51434b1794df1aef89f6496a29fddecbb428c6da4a1b1876d

Observation f31eb41e-0fe5-4dab-ae74-66c0b9170f8a · outbound

This paper cites EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees

Reference 24

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source=pdf_text observed=2026-08-06T14:42:56.143024Z digest=sha256:60c286c29fcd6f2e759f3dbdee0fd07056e2000dd350077689b8c21fe1a90f31

Observation 2b5560ce-9c21-4436-92ab-f9fec4d89794 · outbound

This paper cites Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding

Reference 25

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source=pdf_text observed=2026-08-06T14:42:56.148559Z digest=sha256:c02d3ee0df4386d94d4dc872dcdef49aa96420b8856f3a4de69fe15d76bd2b7a

Observation edb5eac1-7dd3-4861-8030-aa164879a2ae · outbound

This paper cites Multi-Candidate Speculative Decoding.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Multi-Candidate Speculative Decoding

Reference 26

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source=pdf_text observed=2026-08-06T14:42:56.153661Z digest=sha256:c8b567480cb786064ac049dedae0a851e0d87fd5025727eb5f8bd1e1eefcafb8

Observation 383dba0e-d0a1-48d7-87a9-4c55d2562b42 · outbound

This paper cites Librispeech: an asr corpus based on public domain audio books,.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Librispeech: an asr corpus based on public domain audio books,

Reference 27

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source=pdf_text observed=2026-08-06T14:42:56.158384Z digest=sha256:3183f64fc81e405063f371eb383cf58324355ea4be3b406c5f4fbf2dfbe1e63e

Observation cd4ce433-0015-48b5-b528-4c77f79762c4 · outbound

This paper cites LRS3-TED: a large-scale dataset for visual speech recognition.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding LRS3-TED: a large-scale dataset for visual speech recognition

Reference 28

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source=pdf_text observed=2026-08-06T14:42:56.162477Z digest=sha256:be3b714388b931e0c65c6b3bea75740046fcb11ac651c8593c9a20d546f2aebb

Observation d4c2cbb7-5402-430d-9009-72f954f1f126 · outbound

This paper cites ParallelSpec: Parallel Drafter for Efficient Speculative Decoding.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding ParallelSpec: Parallel Drafter for Efficient Speculative Decoding

Reference 29

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source=pdf_text observed=2026-08-06T14:42:56.168146Z digest=sha256:2b1fa3ed7f954a402b07a81d6d550772c138acebbfd17e88e191352d5eebbd53

Observation db89456a-46ca-419a-a6a3-98af10f03b63 · outbound

This paper cites Online Speculative Decoding.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Online Speculative Decoding

Reference 30

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source=pdf_text observed=2026-08-06T14:42:56.172945Z digest=sha256:3167be8fd1d2e3de72670a816842060b0ba08c2f26aaa87fb90f99322506f597

Observation f6c432d6-0893-4a3b-98f2-74ff3dd8867c · outbound

This paper cites Spectr: Fast speculative decoding via optimal transport,.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Spectr: Fast speculative decoding via optimal transport,

Reference 31

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source=pdf_text observed=2026-08-06T14:42:56.178146Z digest=sha256:86e4994cf70794b782b9e1081cee67559ae5bb899fd4595001cd293f2840bafb

Observation 4a754c70-49bc-4b8d-a26a-8e6d231d0cbf · outbound

This paper cites Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement

Reference 32

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source=pdf_text observed=2026-08-06T14:42:56.183295Z digest=sha256:36314daf70f6eefcd23fcf2c85548c0f99e14e36f3e4a3b09de3495092e239f5

Observation 9faaa76d-0b1c-4be5-b78f-4da91433aea4 · outbound

This paper cites Recurrent Drafter for Fast Speculative Decoding in Large Language Models.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Recurrent Drafter for Fast Speculative Decoding in Large Language Models

Reference 33

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source=pdf_text observed=2026-08-06T14:42:56.188422Z digest=sha256:4810d562e5383d9bb374fa08c3f59286a4c17e3d1ccb06b35a53b13735fe50b3

Observation 9cb39e25-dfa2-4929-866e-acc0dc1c65e7 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023,.

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023,

Reference 34

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:42:56.195443Z digest=sha256:17a1551ae3508088d29e8e1e8e0c5a0e8b217bfa094abff82e06574bffb12472

Observation 6ac5c690-1150-4e61-b0fd-60d81021b3ca · outbound

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

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 35

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source=pdf_text observed=2026-08-06T14:42:56.200787Z digest=sha256:51359dbee924a049cde6fff0ad2d6947a6edec7d365a5416bc776d2f536a3ad9

Pith citing papers

No inbound Pith citation observations are available.