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Paper Citation Record · LEDGER

Early Attentive Sparsification Accelerates Neural Speech Transcription

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2506.15912.

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

pith.paper-citation-record.v1
2506.15912 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:42.272617Z

measured 25 of 25 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:06:02.978205Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T17:12:25.094606Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26ce869f-231e-499e-bdd1-b62011b308c2 · outbound

This paper cites write newline.

Early Attentive Sparsification Accelerates Neural Speech Transcription write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-06T23:50:39.956510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:39.956510Z digest=sha256:30992cc318b9351edb0f9b04b355b5e2d77a7f22085d794f2f516f5800e849db

Observation 3e84de91-8dc8-4294-ac93-0fb066ed728f · outbound

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

Early Attentive Sparsification Accelerates Neural Speech Transcription Robust speech recognition via large-scale weak supervision

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:40.073181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:40.073181Z digest=sha256:9022c43874a5238605ef0393c1f5a04360bca52886fc4ca5d93b088cc66d02c3

Observation 83cdc81e-a577-44c0-bde0-e5cdcbd47554 · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.

Early Attentive Sparsification Accelerates Neural Speech Transcription Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:42.831913Z

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=arxiv_source observed=2026-08-06T23:50:40.164196Z digest=sha256:e3f8a36a141bb0cd5bcb03189b3d63144e91104a92c8056ba16d5e6cb47e93ea

Observation 2a67118d-367b-40d9-b616-412eceffdb5c · outbound

This paper cites Deep speech 2: End-to-end speech recognition in english and mandarin.

Early Attentive Sparsification Accelerates Neural Speech Transcription Deep speech 2: End-to-end speech recognition in english and mandarin

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:42.813926Z

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=arxiv_source observed=2026-08-06T23:50:40.267997Z digest=sha256:dde093749027ed998fd30d3e4ea820ea49c6ad21bda0e330343aaa90d206c85b

Observation c4b9d66e-34a6-4e9e-b97f-70bc1ae30a98 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

Early Attentive Sparsification Accelerates Neural Speech Transcription wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 5

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unresolved
no resolver link, observed 2026-08-06T23:50:40.347475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:40.347475Z digest=sha256:f4d21d5b2ef28add9a8b13c39d76d6912df34761f4ab559e7e574615336a60b4

Observation 76fd6c3b-5e62-4340-8099-bf6eacd65f1a · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.

Early Attentive Sparsification Accelerates Neural Speech Transcription H2o: Heavy-hitter oracle for efficient generative inference of large language models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:42.784989Z

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=arxiv_source observed=2026-08-06T23:50:40.423618Z digest=sha256:8af0b4f600872885417bce23e07ed3759501cb202687c25a24b7363c821a1b63

Observation 997644ed-6095-45ef-96f6-424797a9b466 · outbound

This paper cites Q-hitter: A better token oracle for efficient llm inference via sparse-quantized kv cache.

Early Attentive Sparsification Accelerates Neural Speech Transcription Q-hitter: A better token oracle for efficient llm inference via sparse-quantized kv cache

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:42.767720Z

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=arxiv_source observed=2026-08-06T23:50:40.518367Z digest=sha256:08860b302c3a35fd170a28e88f42d53a5d5e1ed43764e2c2063457dc42216b3f

Observation 90cf1147-ac60-4bd3-b0d5-59968017aac5 · outbound

This paper cites Spatten: Efficient sparse attention architecture with cascade token and head pruning.

Early Attentive Sparsification Accelerates Neural Speech Transcription Spatten: Efficient sparse attention architecture with cascade token and head pruning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:42.750698Z

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=arxiv_source observed=2026-08-06T23:50:40.589858Z digest=sha256:56218fab4c38d84b1e93acd175881a1e4c22150503869391e15e672d9f62098f

Observation e89276de-cf28-4e7f-998a-c29f91b6ca33 · outbound

This paper cites Attention is all you need.

Early Attentive Sparsification Accelerates Neural Speech Transcription Attention is all you need

Reference 9

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unresolved
no resolver link, observed 2026-08-06T23:50:40.692918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:40.692918Z digest=sha256:75c288c956ff83d0699ccbae808389408b67b8901eab1d65c47117554c62e35c

Observation 15e63d53-68e7-448a-aa24-e66523c58420 · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units.

Early Attentive Sparsification Accelerates Neural Speech Transcription Hubert: Self-supervised speech representation learning by masked prediction of hidden units

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:40.794663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:40.794663Z digest=sha256:bca6e57d8cc70243e7dd93906c42408ecddc82095e7a60ff10e585fa1860b45d

Observation bd3bdc37-5bfa-46be-97da-aca0e8db58c3 · outbound

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

Early Attentive Sparsification Accelerates Neural Speech Transcription Librispeech: An asr corpus based on public domain audio books

Reference 11

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unresolved
no resolver link, observed 2026-08-06T23:50:40.864178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:40.864178Z digest=sha256:c82b88ae9c4cee3ea1cf19152fb0c0a6a508372aae6404e267b43063f31444ff

Observation 95397d90-3010-4bef-8bdb-cc5a507f6417 · outbound

This paper cites Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

Early Attentive Sparsification Accelerates Neural Speech Transcription Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:40.931247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:40.931247Z digest=sha256:f91feaed7b7f54a6c77fc221de722793185cd0e725184c63fa40db8044f3f276

Observation 32741414-4479-4748-b02d-4f9087946950 · outbound

This paper cites Anatomy of Industrial Scale Multilingual ASR.

Early Attentive Sparsification Accelerates Neural Speech Transcription Anatomy of Industrial Scale Multilingual ASR

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:41.036372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:41.036372Z digest=sha256:5224aea9d01ea373351d7eb1a1d7ad282c661dc78ed296547d16d31cee36bc59

Observation f9f662a8-0597-4ae8-9df8-e171d0b0d4d2 · outbound

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

Early Attentive Sparsification Accelerates Neural Speech Transcription Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 14

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unresolved
no resolver link, observed 2026-08-06T23:50:41.136057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:41.136057Z digest=sha256:0782d9a216c57e0a1ce37950635486ca83027c0bf7d2f5b6f4c501fb8811683c

Observation 5a1b4535-e985-4949-a607-69efe96e2106 · outbound

This paper cites Fast conformer with linearly scalable attention for efficient speech recognition.

Early Attentive Sparsification Accelerates Neural Speech Transcription Fast conformer with linearly scalable attention for efficient speech recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:42.712311Z

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=arxiv_source observed=2026-08-06T23:50:41.237754Z digest=sha256:d46879f584c76580551cf7fd4794a3596329e712bec72cfa7b386f5cca31f929

Observation 14f26328-9095-4d51-b5f5-7559eb1cf5a4 · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

Early Attentive Sparsification Accelerates Neural Speech Transcription Sequence Transduction with Recurrent Neural Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:41.251767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:41.251767Z digest=sha256:601452d5011ccde55927d1f946196e910a4c9703be89ee5331456118eb53b5f0

Observation 9c1766b8-510a-49ff-ae85-94215d4d34e1 · outbound

This paper cites Rnn-transducer with stateless prediction network.

Early Attentive Sparsification Accelerates Neural Speech Transcription Rnn-transducer with stateless prediction network

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:42.696003Z

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=arxiv_source observed=2026-08-06T23:50:41.351194Z digest=sha256:fe0161e63c5e2154cc882fc7060f2aeb349c9d452ffb089f4c5bfbedb91174f8

Observation 8af9b248-f005-44d7-92dd-4316206f3101 · outbound

This paper cites Pruned RNN-T for fast, memory-efficient ASR training.

Early Attentive Sparsification Accelerates Neural Speech Transcription Pruned RNN-T for fast, memory-efficient ASR training

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:41.514296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:41.514296Z digest=sha256:6d9177f5e33ea0368bf81eb6a4c668013f00e79c6b87e7fe120e2410ad56e3dd

Observation 9d614886-8b84-4d78-b17f-4fe27420b3be · outbound

This paper cites End-to-end speech recognition: A survey.

Early Attentive Sparsification Accelerates Neural Speech Transcription End-to-end speech recognition: A survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:41.682676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:41.682676Z digest=sha256:3ef6f814cd92a67494833118f74472342abae64fc6be6f76cb40bd860e8c143f

Observation 58f0a47e-1010-49be-bcdc-91741a049313 · outbound

This paper cites Revisiting convolution-free transformer for speech recognition.

Early Attentive Sparsification Accelerates Neural Speech Transcription Revisiting convolution-free transformer for speech recognition

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:42.667695Z

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=arxiv_source observed=2026-08-06T23:50:41.799689Z digest=sha256:c74288909172f9f2628c22c0be5970424dbeb04682852164e7bbb0d56f8a29b9

Observation 85b300a6-aef3-41b2-9a6f-a8d16749ac7f · outbound

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

Early Attentive Sparsification Accelerates Neural Speech Transcription Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:41.917000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:41.917000Z digest=sha256:767ba678901704dd801b8a529e92952c04cfc47b13ebbedb058daecc92dce774

Observation 879b87ea-8624-420a-b173-b84d76cdc715 · outbound

This paper cites Open automatic speech recognition leaderboard.

Early Attentive Sparsification Accelerates Neural Speech Transcription Open automatic speech recognition leaderboard

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:42.065387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:42.065387Z digest=sha256:f8d67f7efc7f6e3444195666f875289aa090f0e17837f39d4289afe116e608c4

Observation 6a56947a-7a5e-4744-b517-e26ea3759166 · outbound

This paper cites LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation.

Early Attentive Sparsification Accelerates Neural Speech Transcription LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:42.212436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:42.212436Z digest=sha256:7b23194ba076002d53d8eefabd8d3d2cddef13122c67d201765ce7c37e2ee406

Observation 8941e34a-217b-4d57-a048-60a501fed8a9 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Early Attentive Sparsification Accelerates Neural Speech Transcription FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:42.272617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:50:42.272617Z digest=sha256:41909c8101aa8df6a2c45b66b6ed5f34dc97b393558d6434060aef1dfc6cf35b

Pith citing papers

Observation 3bcdc5c7-b931-4a93-be1d-fcedcbffbd8b · inbound

MURMUR: An Efficient Inference System for Long-Form ASR cites this paper.

MURMUR: An Efficient Inference System for Long-Form ASR Early Attentive Sparsification Accelerates Neural Speech Transcription

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:12:25.096232Z

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=arxiv_source observed=2026-06-28T17:06:02.978205Z digest=sha256:fd67f04441036c837c066221a199cca1f78fd007e26a82e3ef57342994898794