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Paper Citation Record · LEDGER

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach

As of 6 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.28175.

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

pith.paper-citation-record.v1
2607.28175 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T15:38:33.223160Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64db6ccf-ca44-43bb-9ab6-c6700a6ef02e · outbound

This paper cites Gemma 4 Technical Report.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach Gemma 4 Technical Report

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-31T15:38:32.411891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.411891Z digest=sha256:6331fd5fdc3dc9faa1a9763f20793ac21c87aaa723f52ee6643e3329215be9d7

Observation 721d140f-dfa4-418e-b732-5a8e9b0531cf · outbound

This paper cites Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation

Reference 7

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unresolved
no resolver link, observed 2026-07-31T15:38:32.655980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.655980Z digest=sha256:14e195db87842e410621eccae46690cf0c15caf54bae6e2dbf8d1356cca9c348

Observation a0a61386-de2c-4621-b14c-3994ccee5a0e · outbound

This paper cites InFindings of the Association for Compu- tational Linguistics: ACL 2023, 11479–11488.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach InFindings of the Association for Compu- tational Linguistics: ACL 2023, 11479–11488

Reference 10

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unresolved
no resolver link, observed 2026-07-31T15:38:32.829974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.829974Z digest=sha256:04188a7410f2f645364c0c43d00ee8af31115d998477cf4e166327784cd27b06

Observation fb09b244-1f74-4478-98f3-0d7e36c6118d · outbound

This paper cites MiniCPM4: Ultra-Efficient LLMs on End Devices.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach MiniCPM4: Ultra-Efficient LLMs on End Devices

Reference 11

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unresolved
no resolver link, observed 2026-07-31T15:38:32.889220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.889220Z digest=sha256:5accd4ff6c1f6851f2265d82fd970b30a1dd5050cc8f8de770745a687649feb8

Observation d8aa9e41-22c2-43cc-b820-9a9a8b8179d6 · outbound

This paper cites An approach to measuring the performance of Automatic Speech Recognition (ASR) models in the context of Large Language Model (LLM) powered applications.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach An approach to measuring the performance of Automatic Speech Recognition (ASR) models in the context of Large Language Model (LLM) powered applications

Reference 12

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no resolver link, observed 2026-07-31T15:38:32.955089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.955089Z digest=sha256:40146cf57dd7690c372ccd007a347d8348efd037f794efb9760dfbff37667c04

Observation 8cdbabad-afc8-42e7-8c38-284b12c0522c · outbound

This paper cites Qwen3-ASR Technical Report.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach Qwen3-ASR Technical Report

Reference 13

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unresolved
no resolver link, observed 2026-07-31T15:38:33.001708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:33.001708Z digest=sha256:787846d7bf60da29eee4a2ebe576109bbe7d4d9ee0d73f882f1549b3a4575dfd

Observation e5d56769-be12-466c-aeb9-ac8cabc9abe0 · outbound

This paper cites https://github.com/ tover0314-w/opentypeless.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach https://github.com/ tover0314-w/opentypeless

Reference 14

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unresolved
no resolver link, observed 2026-07-31T15:38:33.055447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:33.055447Z digest=sha256:a22f79e1b6666aa3b2a1a21404c7e67e26d18bcc1b2fb753e5a941147b82f556

Observation 2da90253-6134-47cf-81d0-ed42330d1927 · outbound

This paper cites https: //www.typeless.com/.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach https: //www.typeless.com/

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T15:38:33.130008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:33.130008Z digest=sha256:6a055fec3d20a6ffa613962317d4ae59ca036e799b69489cd50cffa3c8af9937

Observation 5fd54434-8aa9-4773-8c64-6953c2117224 · outbound

This paper cites Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T15:38:33.184463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:33.184463Z digest=sha256:3c75396a643a43df5eee61a6c29df2cdf2726dda5c9cadc7c252ca92ad9f889d

Observation dd0442a9-5355-4de4-939a-8a61cb74f660 · outbound

This paper cites InICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6097–6101.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach InICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6097–6101

Reference 17

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no resolver link, observed 2026-07-31T15:38:33.223160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:33.223160Z digest=sha256:4fc4d06fafdd8493a5d74918e3bed6298ba9beefe1def127ff905f3c146d4e13

Observation da9c40cc-dd74-44fb-9779-7a6cffe3c58c · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach Sequence Transduction with Recurrent Neural Networks

Reference 2012

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unresolved
no resolver link, observed 2026-07-31T15:38:32.476356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.476356Z digest=sha256:959233fa09c1ba9bccd1d4bbe801d8a1e268e53dc7b370b8f7a2e5b80983f528

Observation e9a27170-6972-458d-a84f-7b8fff770e10 · outbound

This paper cites InProceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 132–142.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach InProceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 132–142

Reference 2020

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unresolved
no resolver link, observed 2026-07-31T15:38:32.255351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.255351Z digest=sha256:353b2af6b14e8fb43db43f0e285a96978c82efd62a8fcf7f7229628272db7ff3

Observation 7cdbe545-c223-4f97-9ee9-7a3b6cf039fa · outbound

This paper cites InInterspeech 2021, 3670–3674.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach InInterspeech 2021, 3670–3674

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-07-31T15:38:32.300184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.300184Z digest=sha256:21da395e2e78ee3157e7df9b5292f65f53689a28e27902323f133bb0ef697eb2

Observation 06451099-bb5a-4bc2-b0f2-40edc665a538 · outbound

This paper cites In Interspeech 2022, 1106–1110.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach In Interspeech 2022, 1106–1110

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-07-31T15:38:32.359038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.359038Z digest=sha256:27123020dad705a199e159a051705a3563c21ae9bed7513184bade9f8a0c2d28

Observation de390e20-c810-467e-a8b9-1dcd7a1993c7 · outbound

This paper cites InProceedings of the 2023 Conference on Empirical Methods in Natural Language Pro- cessing, 3962–3979.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach InProceedings of the 2023 Conference on Empirical Methods in Natural Language Pro- cessing, 3962–3979

Reference 2023

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unresolved
no resolver link, observed 2026-07-31T15:38:32.595515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.595515Z digest=sha256:a49b71d26093e82e7d661b3de9afbea7f779ce7ea936224624028c62f71d8841

Observation 54f64588-9a0a-4d7d-9644-b6377ee14ad8 · outbound

This paper cites InProceedings of the AAAI Conference on Artificial Intelligence, volume 39, 24623–24631.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach InProceedings of the AAAI Conference on Artificial Intelligence, volume 39, 24623–24631

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-07-31T15:38:32.720375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.720375Z digest=sha256:1227d7500fa9ddc88340344c79c7166c1e6d2d5682314337934f7803f5dc596b

Observation 554ce836-3db2-4da5-8e18-af27c14b8e05 · outbound

This paper cites MMAE: A Massive Multitask Audio Editing Benchmark.

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach MMAE: A Massive Multitask Audio Editing Benchmark

Reference 2026

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unresolved
no resolver link, observed 2026-07-31T15:38:32.786994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:38:32.786994Z digest=sha256:95c0074298efd251e88299d6d7a213ff3ab749e6cb8a8578220ac90fee021ce7

Pith citing papers

No inbound Pith citation observations are available.