Paper Citation Record · LEDGER

Effective Context in Neural Speech Models

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2505.22487.

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

pith.paper-citation-record.v1
2505.22487 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:03.252303Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:59.655958Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:13:03.654764Z

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy33
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2b95d58-3104-41f6-8de8-0b40d13db15a · outbound

This paper cites Various speech tasks benefit from contextualized speech embeddings learned with self-supervision [1–5].

Effective Context in Neural Speech Models Various speech tasks benefit from contextualized speech embeddings learned with self-supervision [1–5]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:10.964238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0bb1a129-6b93-4923-8146-3a7a0ee9ad9a · outbound

This paper cites Effective Context in Neural Speech Models.

Effective Context in Neural Speech Models Effective Context in Neural Speech Models

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:13:03.746631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 005a99e2-7950-4620-b375-48b941704549 · outbound

This paper cites In this section, we select a few models to analyze and showcase the utility of our approach.

Effective Context in Neural Speech Models In this section, we select a few models to analyze and showcase the utility of our approach

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:10.701876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4929fe95-9750-4cc1-9e59-66cec61fa861 · outbound

This paper cites This would give us a streaming representation extractor.

Effective Context in Neural Speech Models This would give us a streaming representation extractor

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:10.431829Z

Source-reported events for the cited work

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Observation 334048f3-3cf5-4258-beff-e1ba4185e3de · outbound

This paper cites an unresolved cited work.

Effective Context in Neural Speech Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:13:10.066451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 392cee48-b74c-4c67-b396-e65f61b7ad30 · outbound

This paper cites An unsuper- vised autoregressive model for speech representation learning,.

Effective Context in Neural Speech Models An unsuper- vised autoregressive model for speech representation learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:09.796435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 616dd3d7-f2d5-42dd-bef9-6d5cc3570fd2 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Effective Context in Neural Speech Models Representation Learning with Contrastive Predictive Coding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:00.070045Z

Source-reported events for the cited work

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Observation d2a1f4c4-7333-4f08-840b-85439ba4f4b9 · outbound

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

Effective Context in Neural Speech Models wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:09.521817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e141feba-71f3-47af-a6ac-0e706271db33 · outbound

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

Effective Context in Neural Speech Models Hubert: Self-supervised speech representa- tion learning by masked prediction of hidden units,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:09.210532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca5d2263-335b-4706-80a8-e0b68e0b1fc7 · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing,.

Effective Context in Neural Speech Models Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:08.942901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29939668-2a42-4b4d-b31f-557a3bdf9b72 · outbound

This paper cites Transformer- Based Long-Context End-to-End Speech Recognition,.

Effective Context in Neural Speech Models Transformer- Based Long-Context End-to-End Speech Recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:08.675610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16eaf46b-c4ae-43d1-84be-e21fc83322ee · outbound

This paper cites Large context end-to-end automatic speech recognition via extension of hierarchical recurrent encoder-decoder models,.

Effective Context in Neural Speech Models Large context end-to-end automatic speech recognition via extension of hierarchical recurrent encoder-decoder models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:08.504141Z

Source-reported events for the cited work

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Observation e7146c4e-5d47-4d88-bf17-acc732145c2a · outbound

This paper cites How much context does my attention- based asr system need?.

Effective Context in Neural Speech Models How much context does my attention- based asr system need?

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:08.362663Z

Source-reported events for the cited work

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Observation 5596c74c-6fda-4ae4-a0fd-781c7f9e9897 · outbound

This paper cites Transformer-xl: Attentive language models beyond a fixed- length context,.

Effective Context in Neural Speech Models Transformer-xl: Attentive language models beyond a fixed- length context,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:08.222136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41ab1751-7ae8-420a-9638-f7bab6833526 · outbound

This paper cites Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.

Effective Context in Neural Speech Models Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:00.712227Z

Source-reported events for the cited work

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Observation 0638e044-5611-4241-b369-d501853b316c · outbound

This paper cites Landmark attention: Random- access infinite context length for transformers,.

Effective Context in Neural Speech Models Landmark attention: Random- access infinite context length for transformers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:08.004223Z

Source-reported events for the cited work

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Observation 64fcf7c8-5e84-41ba-b721-cfe349558de0 · outbound

This paper cites On training recurrent networks with trun- cated backpropagation through time in speech recognition,.

Effective Context in Neural Speech Models On training recurrent networks with trun- cated backpropagation through time in speech recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:07.919944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33bd9470-69f6-414a-a6b8-58a398ef5c69 · outbound

This paper cites On the usefulness of self-attention for automatic speech recognition with transformers,.

Effective Context in Neural Speech Models On the usefulness of self-attention for automatic speech recognition with transformers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:07.707373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d5c833a-8eef-4d65-9001-16adfb888ee4 · outbound

This paper cites Branchformer: Parallel mlp-attention architectures to capture local and global context for speech recognition and understanding,.

Effective Context in Neural Speech Models Branchformer: Parallel mlp-attention architectures to capture local and global context for speech recognition and understanding,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:07.505593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8269ea2f-966d-44e5-b977-27407010e94d · outbound

This paper cites Sum- former: A linear-complexity alternative to self-attention for speech recognition,.

Effective Context in Neural Speech Models Sum- former: A linear-complexity alternative to self-attention for speech recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:07.259229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a70da8f1-06ae-49c3-8aa6-eca8da973126 · outbound

This paper cites Understanding the role of self attention for efficient speech recognition,.

Effective Context in Neural Speech Models Understanding the role of self attention for efficient speech recognition,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:06.954279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4783fca-b3a0-4739-af17-09a0f04a7b8e · outbound

This paper cites Layer-wise analysis of a self-supervised speech representation model,.

Effective Context in Neural Speech Models Layer-wise analysis of a self-supervised speech representation model,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:01.335885Z

Source-reported events for the cited work

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Observation 1f1ddcbf-34d2-47dc-9cce-548b56f01132 · outbound

This paper cites Comparative layer-wise analysis of self-supervised speech models,.

Effective Context in Neural Speech Models Comparative layer-wise analysis of self-supervised speech models,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:01.400582Z

Source-reported events for the cited work

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Observation c3159dae-08a8-4f4d-998c-b1b1fb371ab3 · outbound

This paper cites What do self- supervised speech models know about words?.

Effective Context in Neural Speech Models What do self- supervised speech models know about words?

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:06.647316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5569d12-e175-4013-ad33-7852dfa0c70f · outbound

This paper cites Probing phoneme, language and speaker information in unsupervised speech representations,.

Effective Context in Neural Speech Models Probing phoneme, language and speaker information in unsupervised speech representations,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:06.485925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d491e674-9043-4036-ae02-4084d4aa6147 · outbound

This paper cites Self-supervised speech representations are more phonetic than semantic,.

Effective Context in Neural Speech Models Self-supervised speech representations are more phonetic than semantic,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:06.313506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation adead31a-6851-44bf-9072-0abd24ad8456 · outbound

This paper cites Sharp nearby, fuzzy far away: How neural language models use context,.

Effective Context in Neural Speech Models Sharp nearby, fuzzy far away: How neural language models use context,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:06.041864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c670d2a-eae2-4432-becf-3fd5efef1796 · outbound

This paper cites What context features can trans- former language models use?.

Effective Context in Neural Speech Models What context features can trans- former language models use?

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:05.874176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a05d3e7-8c2d-4aa3-872a-54c9999eed90 · outbound

This paper cites Same task, more tokens: the impact of input length on the reasoning performance of large language models,.

Effective Context in Neural Speech Models Same task, more tokens: the impact of input length on the reasoning performance of large language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:05.758043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 344f9c3a-27d0-44a9-b0cc-8a12c6750c02 · outbound

This paper cites Deep inside con- volutional networks: Visualising image classification models and saliency maps,.

Effective Context in Neural Speech Models Deep inside con- volutional networks: Visualising image classification models and saliency maps,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:05.620990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a8110d1-3fd5-4076-93ad-1caa689a1d11 · outbound

This paper cites ” why should i trust you?.

Effective Context in Neural Speech Models ” why should i trust you?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:02.180276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1892ea1f-12a6-457a-b43f-9a06ce7ddb08 · outbound

This paper cites A unified approach to interpreting model predic- tions,.

Effective Context in Neural Speech Models A unified approach to interpreting model predic- tions,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:05.429914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2119951c-ef13-4b1e-9555-483632a80632 · outbound

This paper cites Autore- gressive predictive coding: A comprehensive study,.

Effective Context in Neural Speech Models Autore- gressive predictive coding: A comprehensive study,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:05.234971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad052d79-0bfe-4584-980b-e3a7d5bfee51 · outbound

This paper cites Pyin: A fundamental frequency estima- tor using probabilistic threshold distributions,.

Effective Context in Neural Speech Models Pyin: A fundamental frequency estima- tor using probabilistic threshold distributions,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:05.015610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb1b55f1-078c-4f69-9660-f4ccd86e1bbc · outbound

This paper cites fairseq: A fast, extensible toolkit for sequence modeling,.

Effective Context in Neural Speech Models fairseq: A fast, extensible toolkit for sequence modeling,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:04.789475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 774dc330-f1d5-4020-91d3-5d622ab4e9ed · outbound

This paper cites Orthogo- nality and isotropy of speaker and phonetic information in self- supervised speech representations,.

Effective Context in Neural Speech Models Orthogo- nality and isotropy of speaker and phonetic information in self- supervised speech representations,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:04.577573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a5b8b44-b7c0-40cc-a119-1e010b54b35e · outbound

This paper cites Dual-mode asr: Unify and improve streaming asr with full-context modeling,.

Effective Context in Neural Speech Models Dual-mode asr: Unify and improve streaming asr with full-context modeling,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:04.431650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa4a4455-00f2-47f8-aa7b-14216bfe5daf · outbound

This paper cites Efficient cascaded streaming asr system via frame rate reduction,.

Effective Context in Neural Speech Models Efficient cascaded streaming asr system via frame rate reduction,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:04.266556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8cf92f74-dabd-4b79-a92b-f2c329074d06 · outbound

This paper cites Improving stream- ing automatic speech recognition with non-streaming model distil- lation on unsupervised data,.

Effective Context in Neural Speech Models Improving stream- ing automatic speech recognition with non-streaming model distil- lation on unsupervised data,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:04.102164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc3569bc-7b55-47c5-b099-9c3612791b1c · outbound

This paper cites XLSR-Transducer: Streaming ASR for Self-Supervised Pretrained Models.

Effective Context in Neural Speech Models XLSR-Transducer: Streaming ASR for Self-Supervised Pretrained Models

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:13:03.509031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1eb4ca2-f45c-4b4b-8807-497659c0e26a · outbound

This paper cites Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,.

Effective Context in Neural Speech Models Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:13:03.933161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80026132-2bf7-4e73-b2a3-5ad7ad9058df · outbound

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

Effective Context in Neural Speech Models Robust speech recognition via large-scale weak su- pervision,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:03.252303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0bb1a129-6b93-4923-8146-3a7a0ee9ad9a · inbound