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Paper Citation Record · LEDGER

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval

As of 23 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2412.12009.

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

pith.paper-citation-record.v1
2412.12009 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:27:27.353817Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T14:35:02.484377Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:44:45.645532Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cfb7fff-0c53-459d-ad20-d62b262953a2 · outbound

This paper cites A survey on speech large language models,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval A survey on speech large language models,

Reference 1

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unresolved
no resolver link, observed 2026-08-11T14:27:27.207916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:27:27.207916Z digest=sha256:3b4f71cec0b3da4ced390407e0de9e336e15edfe43eb9c3352b2058e552a8c49

Observation 615b9647-943e-49d8-96ce-4193edc48367 · outbound

This paper cites Qwen2-Audio Technical Report.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Qwen2-Audio Technical Report

Reference 2

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no resolver link, observed 2026-08-11T14:27:27.214993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:27:27.214993Z digest=sha256:5dbab785981f3da2282bbed7b3551c1684d24305619a436e00400a6ea1e6be76

Observation 91cc5029-1500-4b98-b8c1-4dd268680a26 · outbound

This paper cites Distilling an End-to-End Voice Assistant Without Instruction Training Data.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Distilling an End-to-End Voice Assistant Without Instruction Training Data

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T14:27:27.223349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:27:27.223349Z digest=sha256:823c794b4891766db9c1b8267bdd114bb8927103ac048f46616a9e0c037335b0

Observation d991f7e9-421f-42e6-b482-c0a6254c6d7d · outbound

This paper cites SpeechGPT: Empowering large language models with intrinsic cross-modal conversational abilities,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval SpeechGPT: Empowering large language models with intrinsic cross-modal conversational abilities,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.949943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.229904Z digest=sha256:890b8fc6d8793e66d77d6eafe45e0fb0356bb730ac0a121bb4eae398dc260e6f

Observation 8682b50a-fe3b-4c59-b3e9-6671b498d8e7 · outbound

This paper cites AnyGPT: Unified multimodal LLM with discrete sequence modeling,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval AnyGPT: Unified multimodal LLM with discrete sequence modeling,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.932649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.237231Z digest=sha256:270038d3743918104527d7513962ea09514ce65bd3d82a427994b1c28b725e1e

Observation 37b91436-91f8-4d47-b7f1-c354d36ba71e · outbound

This paper cites Dynamic-SUPERB phase-2: A collaboratively expanding benchmark for measuring the capabilities of spoken language models with 180 tasks,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Dynamic-SUPERB phase-2: A collaboratively expanding benchmark for measuring the capabilities of spoken language models with 180 tasks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.914804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.242211Z digest=sha256:15b34385f77a4e4d638c5721eb6613bed887e201a1d18b38fa2dec66109c4aa1

Observation 6334cba9-d4d5-421f-ba93-fbbb90c882ac · outbound

This paper cites MMAU: A massive multi-task audio understanding and reasoning benchmark,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval MMAU: A massive multi-task audio understanding and reasoning benchmark,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.898104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.248819Z digest=sha256:ffb5ca84298f638fd2068837be71a19c19fe99d8bbc7934440248809d73237bd

Observation 6b5f935f-5e54-4c99-b575-ea8ef3f15a60 · outbound

This paper cites AudioBench: A Universal Benchmark for Audio Large Language Models.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval AudioBench: A Universal Benchmark for Audio Large Language Models

Reference 8

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unresolved
no resolver link, observed 2026-08-11T14:27:27.254326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:27:27.254326Z digest=sha256:226fc9bbd3d9401554ec5dd2bd848026f8c7af4aa6dbdb1e83f0353287746850

Observation 16451f2e-2264-436d-ac06-90a331ddb238 · outbound

This paper cites On the com- putational complexity of self-attention,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval On the com- putational complexity of self-attention,

Reference 9

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raw_fallback, observed 2026-08-11T14:27:27.880027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.259908Z digest=sha256:11e07afb0eb69d3069e1aeae4f14d9feb520c4b4e8ececba094127ab1cc25c37

Observation 2c3b74b5-599f-4d8e-9ca8-18781f522004 · outbound

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

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Robust speech recognition via large-scale weak supervision,

Reference 10

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unresolved
no resolver link, observed 2026-08-11T14:27:27.265395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:27:27.265395Z digest=sha256:bc36ff48b433243e2bd24351a45f9f7a5aeb5c6effd9e9cfb4c495a09e38a70e

Observation 5c4387b6-9496-468d-a057-55d8aa83cdfa · outbound

This paper cites Llava-prumerge: Adaptive token reduction for efficient large multimodal models,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Llava-prumerge: Adaptive token reduction for efficient large multimodal models,

Reference 11

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no resolver link, observed 2026-08-11T14:27:27.271000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:27:27.271000Z digest=sha256:c64726e19b0dde6802be41e48fdf14c96939554912ea8c420647be691cf3c4dd

Observation 6eaf1794-7992-4709-9582-56a9c0f65cae · outbound

This paper cites Styletts 2: Towards human-level text-to-speech through style diffusion and adversarial training with large speech language models,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Styletts 2: Towards human-level text-to-speech through style diffusion and adversarial training with large speech language models,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.852739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.278405Z digest=sha256:9d2f57eeecfe35b4cb85e0cdb33b616299c9a6a9f578f483efb9d05a877459fa

Observation eb8cfd2f-580e-4966-b0fb-99ea0702f51a · outbound

This paper cites LibriTTS: A corpus derived from librispeech for text- to-speech,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval LibriTTS: A corpus derived from librispeech for text- to-speech,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.835898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.284337Z digest=sha256:f689850b085447eb9c1832bfd17bd16ae96e3676393a0f6fe07a260b1d3db591

Observation 88fff4b9-643f-40ef-a897-f37563c920ba · outbound

This paper cites Utmos: Utokyo-sarulab system for voicemos challenge 2022,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Utmos: Utokyo-sarulab system for voicemos challenge 2022,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.819049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.289656Z digest=sha256:1f41d9d63c5e0f0c991474781b4053628f43da76e0d5e71a93c9294d122a6dbc

Observation fec33ec5-9763-4267-9c15-a26c18fe8eab · outbound

This paper cites Listen, think, and understand,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Listen, think, and understand,

Reference 15

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raw_fallback, observed 2026-08-11T14:27:27.802854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.295112Z digest=sha256:3c6209b3a29a18e86830960878526c89d305b24569d87feb3093232eb67b1aec

Observation b96a12fb-37fc-4f2e-b0ec-67f5581f292c · outbound

This paper cites SALMONN: Towards generic hearing abilities for large language models,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval SALMONN: Towards generic hearing abilities for large language models,

Reference 16

Resolution
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raw_fallback, observed 2026-08-11T14:27:27.786330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.301158Z digest=sha256:5af2416bbed025f9818dbc26c61a24b0c4d135869048eccb879eeb109257743a

Observation 07045fb6-57ee-4793-9e2e-aee6c25e3365 · outbound

This paper cites SpeechVerse: A Large-scale Generalizable Audio Language Model.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval SpeechVerse: A Large-scale Generalizable Audio Language Model

Reference 17

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unresolved
no resolver link, observed 2026-08-11T14:27:27.306355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:27:27.306355Z digest=sha256:78df83f3f0bdc1d62de7bb0b343b6944ef8f1a9edfe776ec153b4d3c654714b7

Observation 29a50415-014b-4365-94d0-4dc07d53b2a1 · outbound

This paper cites Attention is all you need,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Attention is all you need,

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T14:27:27.768934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.317192Z digest=sha256:af9acced8facdc9f5e079d9b31eedaf19c098434a1aae99e5d5bb103a6489f16

Observation cf0e7d12-b0ff-49eb-80a7-bc588827afe6 · outbound

This paper cites Transformer quality in linear time,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Transformer quality in linear time,

Reference 19

Resolution
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raw_fallback, observed 2026-08-11T14:27:27.750112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.322853Z digest=sha256:e1d5a04344f40c1384a3af3ca99770a1fe214437fbec88f1ae52fdcf97c7b97d

Observation 0bdeeabc-0705-4dda-a662-d1d1e81ff128 · outbound

This paper cites Learned token pruning for transformers,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Learned token pruning for transformers,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.734347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.327836Z digest=sha256:2b4249ee27a5bae6e4cf49154fd9bdaf3e62f60ea13be8b45018e33e12dfc007

Observation b1377ffc-43f5-44e1-8593-d1475917ee1c · outbound

This paper cites Cortical oscillations and speech processing: Emerging computational principles and operations,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Cortical oscillations and speech processing: Emerging computational principles and operations,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.715513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.334489Z digest=sha256:c444c7475b4f0a0a9fe2d03b70bb25355eb26d0364d57ca7a933b51c62783e86

Observation 3eddaf34-10e1-4853-bcea-ca125b391400 · outbound

This paper cites LLM Inference Unveiled: Survey and Roofline Model Insights.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T14:27:27.340179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:27:27.340179Z digest=sha256:17d39aec0c866b2ac85c2124d9117120ba1db985ce899888e455c78699a9498b

Observation 3c719319-0ede-44e5-ba2a-bb6eecdc3606 · outbound

This paper cites Dream: A challenge data set and models for dialogue- based reading comprehension,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval Dream: A challenge data set and models for dialogue- based reading comprehension,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.697902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.348476Z digest=sha256:45f7ef36417ab53eec7a9a3c2975c074c2975199eda581fae867c1cc66a85bd1

Observation c834cfa0-87fe-4051-add2-51de44ff5887 · outbound

This paper cites WavLLM: Towards robust and adaptive speech large language model,.

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval WavLLM: Towards robust and adaptive speech large language model,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:27:27.677871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:27:27.353817Z digest=sha256:2373da78f2d9dedc62733feaeb5f6f940f580ac68dd55884d5de86b5bdb4d71f

Pith citing papers

Observation 27cbed04-321f-4d1b-b206-b87602c53b06 · inbound

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture cites this paper.

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:44:45.647323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T14:35:02.484377Z digest=sha256:f262b09b86bee98d8d4f36631f4bcbcf7cbcf7c48b49588ab020293e5ff581b9