Paper Citation Record · LEDGER

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2505.13765.

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

pith.paper-citation-record.v1
2505.13765 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:15:55.891848Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:15:55.762010Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:15:56.056248Z

Reference resolution

40 of 40 outbound references displayed

verified exact7
verified fuzzy18
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 289047c6-1075-4e3f-95c6-df45cd632323 · outbound

This paper cites Various open-source toolkits offer high-quality imple- mentations for RNN-T models, including ESPnet [2], Speech- Brain [3], and NeMo [4] etc.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Various open-source toolkits offer high-quality imple- mentations for RNN-T models, including ESPnet [2], Speech- Brain [3], and NeMo [4] etc

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.454104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e92313cd-0674-4adf-9815-8268d3a7584b · outbound

This paper cites an unresolved cited work.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:15:56.440708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation acaa2ac2-9c37-4ef4-b02d-0dac9069a59c · outbound

This paper cites an unresolved cited work.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:15:56.428145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4f5ded8b-b3a9-4396-8f8c-0ad82be023c4 · outbound

This paper cites an unresolved cited work.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:15:56.415061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd616311-652b-413e-8f7e-a983e54889b0 · outbound

This paper cites an unresolved cited work.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:15:56.403137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f91ebbc-0fdb-42ae-bae1-3a53fe4152ab · outbound

This paper cites an unresolved cited work.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:15:56.390772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5326f28-f759-44fe-ba02-1fdec56774e6 · outbound

This paper cites We will open-source our WIND im- plementations so that the results can be fully reproduced.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection We will open-source our WIND im- plementations so that the results can be fully reproduced

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.378844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3466a347-044f-4c44-8ce8-fbf232854f40 · outbound

This paper cites One way to do that is through improve- ment in the model architecture.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection One way to do that is through improve- ment in the model architecture

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.366947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e17f24be-ad53-4e44-a39c-5fd3999b4e22 · outbound

This paper cites Multi-blank Transducers for Speech Recognition.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Multi-blank Transducers for Speech Recognition

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:15:56.042585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b0a6c7d-e33e-4402-bb76-9a09ec3c9801 · outbound

This paper cites WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:15:56.060863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fef5540d-d571-49f7-9b85-cda7428c34cf · outbound

This paper cites an unresolved cited work.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:15:56.339860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a904c1c6-b7cb-4433-90ce-0ddb96faacf3 · outbound

This paper cites probability of predicting v as the first output in the window at time t0 + t.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection probability of predicting v as the first output in the window at time t0 + t

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.325829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 245ab316-3dba-4d7a-8d14-b6726f9e4a23 · outbound

This paper cites an unresolved cited work.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:15:56.312859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d08def58-bf85-4fe5-a43c-2e6046bc8dab · outbound

This paper cites Regarding beam-search for RNN-T models, in addition to the original algorithm proposed in [1], some more efficient variants, e.g.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Regarding beam-search for RNN-T models, in addition to the original algorithm proposed in [1], some more efficient variants, e.g

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.353129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a44a7ac1-bc4b-4048-ac28-b1a0c06ff894 · outbound

This paper cites recombine prune prefix search.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection recombine prune prefix search

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.300095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71ba633e-edcf-499e-88c5-9a96b279eebd · outbound

This paper cites an unresolved cited work.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:15:56.286635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f69e5c09-834a-4fb5-bd74-253173286d45 · outbound

This paper cites completing A into B.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection completing A into B

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.272221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7fa345e-770f-4a64-9abe-744c1ce7d52c · outbound

This paper cites an unresolved cited work.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:15:56.259052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2044b99e-c089-410c-8df8-5b651e7cfc31 · outbound

This paper cites All models are pub- lic checkpoints built on 80-dimensional filter bank features ex- tracted at 25ms frames with 10ms strides, and BPE of size 1024 as text representation.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection All models are pub- lic checkpoints built on 80-dimensional filter bank features ex- tracted at 25ms frames with 10ms strides, and BPE of size 1024 as text representation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.246564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fbdda842-2f32-4593-a7d2-f677a7589b9b · outbound

This paper cites Decoder-only time.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Decoder-only time

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.232936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4bc081a9-c9f7-44db-bbd3-142aee0e4f75 · outbound

This paper cites In the future, we will also develop a more effi- cient WIND algorithm that combines beam search and batching.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection In the future, we will also develop a more effi- cient WIND algorithm that combines beam search and batching

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.220104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d87549dc-54a9-4f59-8e28-686ad5305ee7 · outbound

This paper cites Sequence transduction with recurrent neural net- works,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Sequence transduction with recurrent neural net- works,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:15:55.812458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f31e68f-2bd8-43de-ad7e-fcaf6b1a5f9a · outbound

This paper cites ESPnet: End-to-end speech processing toolkit,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection ESPnet: End-to-end speech processing toolkit,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:15:55.817910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dd22910-5385-4ece-8d40-317c2af731e0 · outbound

This paper cites Speech- Brain: A general-purpose speech toolkit,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Speech- Brain: A general-purpose speech toolkit,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.190655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ebb172d1-b0b4-4343-ab5e-b6ab6923a13f · outbound

This paper cites Nemo: a toolkit for building ai applications using neural modules,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Nemo: a toolkit for building ai applications using neural modules,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:15:55.826242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ba58ac2-fce7-4a6a-9388-40f0a56603e1 · outbound

This paper cites Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:15:55.830294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef9acd05-cfc6-4c56-bc25-4a1bc20a2999 · outbound

This paper cites Alignment-length syn- chronous decoding for RNN transducer,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Alignment-length syn- chronous decoding for RNN transducer,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.160240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f12a0ac-bffe-4471-b694-dad402e390a7 · outbound

This paper cites Accelerating rnn transducer infer- ence via adaptive expansion search,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Accelerating rnn transducer infer- ence via adaptive expansion search,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.147649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d28b4962-97a7-49aa-8f08-f683c9e49ff8 · outbound

This paper cites RNN- Transducer with stateless prediction network,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection RNN- Transducer with stateless prediction network,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.135047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0908be24-d79c-48dc-8301-f061c5b76cd3 · outbound

This paper cites Efficient sequence transduction by jointly predicting tokens and durations,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Efficient sequence transduction by jointly predicting tokens and durations,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:15:55.851281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a225bcee-14cb-4f6b-9145-3f52e1535914 · outbound

This paper cites HAINAN: Fast and Accurate Transducer for Hybrid-Autoregressive ASR.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection HAINAN: Fast and Accurate Transducer for Hybrid-Autoregressive ASR

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:15:56.024565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation edf70348-e76c-4c59-a2d1-220ba2d8531b · outbound

This paper cites Blank-regularized CTC for Frame Skipping in Neural Transducer.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Blank-regularized CTC for Frame Skipping in Neural Transducer

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:15:56.005490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 872c7a20-e2fa-414f-bfe7-72b17ade96a6 · outbound

This paper cites Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPU.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPU

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:15:55.986345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4335e8c0-069d-48ae-9a75-4bc922566b1b · outbound

This paper cites Label-Looping: Highly Efficient Decoding for Transducers.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Label-Looping: Highly Efficient Decoding for Transducers

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:15:55.967402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7bbe3190-fbdc-4d35-b068-af74ef3d1e5f · outbound

This paper cites Accelerating RNN Transducer Inference via One-Step Constrained Beam Search.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Accelerating RNN Transducer Inference via One-Step Constrained Beam Search

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:15:55.947179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ad606f34-ee83-41b0-a5d5-ba1855eb989a · outbound

This paper cites A token-wise beam search algorithm for rnn-t,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection A token-wise beam search algorithm for rnn-t,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.113604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d31a15c9-377f-4791-9940-c709c46d6a32 · outbound

This paper cites Neural machine transla- tion of rare words with subword units,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Neural machine transla- tion of rare words with subword units,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.100372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d1644913-d0ca-4abd-a9e9-c699734e6f03 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:15:55.883892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb3e859-244e-4cb9-a81b-d3a990271e8e · outbound

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

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Conformer: Convolution- augmented transformer for speech recognition,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.086579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 33aaa3b6-8108-4f1d-9454-00b58fb34413 · outbound

This paper cites Fast Conformer with linearly scalable attention for effi- cient speech recognition,.

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection Fast Conformer with linearly scalable attention for effi- cient speech recognition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:15:56.074064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 8b0a6c7d-e33e-4402-bb76-9a09ec3c9801 · inbound