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Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2604.09121.

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

pith.paper-citation-record.v1
2604.09121 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:22:08.670559Z

measured 40 of 40 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T15:38:33.184463Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T00:41:07.116524Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact13
  • verified fuzzy19
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81085b5b-0f18-4005-bc94-bd24329ffaf0 · outbound

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

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

Reference 1

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metadata mismatch
local_arxiv, observed 2026-05-11T00:41:07.124093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation f510ac35-51de-4ad0-a6f9-68bca64dc505 · outbound

This paper cites To address this, several semantic-aware metrics have been proposed.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition To address this, several semantic-aware metrics have been proposed

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.654357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:b333e5853adacba66f870f537a4692f94a49189c2c1d7607cf362258983430c0

Observation 0c56680e-565e-4ae3-8240-accc6d238499 · outbound

This paper cites Moving to embedding-based evaluation, SemDist [18] utilized RoBERTa-based sentence embeddings to measure se- mantic similarity beyond literal overlap.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Moving to embedding-based evaluation, SemDist [18] utilized RoBERTa-based sentence embeddings to measure se- mantic similarity beyond literal overlap

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.645572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:9136dd588f767d45d21255d7180f54366c87257046ff91eb0cc8e3081fb738e3

Observation 2bc9f8e2-84c4-4fcb-a24d-67b8fcedaec9 · outbound

This paper cites Unlike these continuous scoring metrics, our LLM-as-a-Judge adopts a binary functional criterion, acting as a strict gatekeeper to determine if the user’s intent is executable.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Unlike these continuous scoring metrics, our LLM-as-a-Judge adopts a binary functional criterion, acting as a strict gatekeeper to determine if the user’s intent is executable

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.656952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:a7a5dd83575788b22c87ef8c226ff0315a3763bb124938b9a0ab135daac1b69b

Observation c95d515a-2140-41e0-821c-7a22e0817e42 · outbound

This paper cites an unresolved cited work.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-05-17T04:09:00.651914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:02ec34e35f749023689a89fa90eeadf2e1bf377773af9c57a9adfc9e29c91f88

Observation 6ea06b30-0dd1-4bd1-8372-af3af732518c · outbound

This paper cites an unresolved cited work.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-05-17T04:09:00.618835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:d3f5f3e023db3965c884a649eec51b57ef5cd0bc37d2746203f0cdffa2869ec0

Observation 9471a8d1-4bbf-48f6-88d3-41290371933e · outbound

This paper cites We first outline the experimental setup in Section 5.1, detailing the diverse benchmarks and the foun- dational models.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition We first outline the experimental setup in Section 5.1, detailing the diverse benchmarks and the foun- dational models

Reference 7

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malformed identifier
raw_fallback, observed 2026-05-17T04:09:00.629267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:7b0646f3602fb6ae343fed11c7f4724aa6c47a019d15a672cfcc72a0aa2f6b1e

Observation 06165007-8c03-4914-86e4-4c039d9b7e2d · outbound

This paper cites We introduced 𝑆2𝐸 𝑅, a novel met- ric that leverages LLMs as judges to prioritize sentence-level semantic coherence.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition We introduced 𝑆2𝐸 𝑅, a novel met- ric that leverages LLMs as judges to prioritize sentence-level semantic coherence

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.611309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:ed71b1bf32fac1af9ac877b042c36b650f929c1298a81394bc317e8a841cf7ec

Observation 5747ccab-8640-46d0-8aef-42b29be4fc84 · outbound

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

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.603920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:dfedc970964d567b48f6247bc618024bc6f88e0d381c35aa5d3d74e9d22c65e8

Observation 7dc7159d-1057-4c8d-b02f-824e006cbb15 · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Sequence Transduction with Recurrent Neural Networks

Reference 10

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verified exact
arxiv_id, observed 2026-05-11T00:41:07.208345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:a1b3c393f847ba3adc169647f3c5432ac25f8c84304ce2d1c0397dc7295886e4

Observation 4ca584d7-84f7-49e0-9a6a-a5b30e85a17e · outbound

This paper cites Listen, attend and spell: A neural network for large vocabulary conversational speech recognition.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Listen, attend and spell: A neural network for large vocabulary conversational speech recognition

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.606507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:bde9fa98e04c9fa100ee69be294464538dc348fb0360e0098519e9aa8e1a4a13

Observation 1b505514-3f76-4160-9476-f549f29ba05c · outbound

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

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Robust speech recognition via large-scale weak supervision

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.608758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:1ae06505db51f1147b5df3a03cb255bbead3e141b649f00fd43bed2362bedbda

Observation 6dd10421-50b6-415c-9de0-cdc2836f52aa · outbound

This paper cites On decoder-only architecture for speech- to-text and large language model integration.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition On decoder-only architecture for speech- to-text and large language model integration

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.613775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:64535f8033d04ad8a97b79ba6e64c4a6ae3c25fb256d1b701ab7e84661dd9d5f

Observation 712c8ab5-c4bb-4aca-8bb0-ea618194b3f2 · outbound

This paper cites Slm: Bridge the thin gap between speech and text foundation models.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Slm: Bridge the thin gap between speech and text foundation models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.621327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:54859aa74fe5343102e55000d372cd3fbf616580ec20306a5ffd2244d03687b0

Observation 33fe5cca-c2bf-43be-b7ab-f37daaebd684 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:29:46.683133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:1d7a0ab5a84cc91bde1e706e6cfb28d4b01d8649affcaa81edd324b8e2c185de

Observation 290cb93c-7d3d-4bcb-bfbd-7e3b0930fc6b · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:57:28.886773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:87c0413259d2d747b4128ca321a27a805936a8dad7494bf16a334ff2dc82714f

Observation ffd6bc38-65c5-46f9-8560-d3ba1fb4f76d · outbound

This paper cites Prompt- ing large language models with speech recognition abilities.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Prompt- ing large language models with speech recognition abilities

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.642980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:b7b403258837ae8618ab7928c08b10faa04fde20090d43ce47e57df012860e10

Observation 63ac30c2-c9f2-4acb-97ca-3450bc6c544e · outbound

This paper cites An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:49.116917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:7f67cee7a6e09e956b9a2ffa4c114c94ddfc609c146051de71dae3562ad157a2

Observation 0bae1a1b-aacb-4176-a926-4b627897d09d · outbound

This paper cites Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:41:07.223921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:b11726a53f7be4b130db347df8873ded3385c2071d2a3ea15ce80d0032f764af

Observation 81d205d0-c295-4987-b96a-312761b61059 · outbound

This paper cites FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:41:07.177531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:7b8d291f3b27872a6eceaafb7ffaf1b89e9faa3b48ca1c22299797bcbe778455

Observation 3866884e-60b9-4a87-a2c3-90a96b3ae177 · outbound

This paper cites Fun-ASR technical report.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Fun-ASR technical report

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:49.107342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:0d41e788f9c4c6860c346e48f671ac7a96ebf7f5c89977dba95a11c9a0c566dc

Observation cfc7bf5b-8ff7-4428-a77f-a59e98e71120 · outbound

This paper cites Qwen3-ASR Technical Report.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Qwen3-ASR Technical Report

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:59:09.287362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:9a557618e3c0efc574d56d62d9fb30539cb133a104115be346a3864c8428f93b

Observation c459de34-28b2-4d80-8022-702a8bdd0341 · outbound

This paper cites Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability

Reference 23

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metadata mismatch
arxiv_id, observed 2026-05-11T00:41:07.130212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:765cb667dbb1907f3915093378575e1ae5a5fbe98e44efc5cbbb6d4522a89d23

Observation afd50fae-ef3e-44cb-b752-09c8455fda26 · outbound

This paper cites De- noising ger: A noise-robust generative error correction with llm for speech recognition.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition De- noising ger: A noise-robust generative error correction with llm for speech recognition

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.649828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:e18c571edb53069b44a745de9676b27ee3c3c893559ad1c1e4e17c5ebaef384d

Observation 844a8ce4-2e06-4365-805a-5a6ac0464f56 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.631645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:17385020981155e41b278a99c2eaf0970de8b699fa07367ca629685a0b2f8b38

Observation 8adf8eb3-1551-4f6d-8d01-b5fe2d78b9fb · outbound

This paper cites Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:49.089046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:34fe2dcde61952465f1e503a960f221ee4f89c966e437af202f3ece4d0f63892

Observation a8aae583-6e9b-478c-af87-4f9f298aabc6 · outbound

This paper cites Laser: An llm-based asr scoring and evaluation rubric.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Laser: An llm-based asr scoring and evaluation rubric

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.636180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:76b91a3229dc36fc6a333bf54e13487d8e827ee1123151e84effddb9d244e138

Observation c260e041-4286-4ed3-8b38-77db2e326212 · outbound

This paper cites Multimodal error correction for speech user interfaces.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Multimodal error correction for speech user interfaces

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.640702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:728ba719e6c5f5483ec3d2ff4d7d9e515292c94d6ed754e544b73cde106193d1

Observation 4309923e-0d77-48ee-8d5a-d1ffcc9ac3f8 · outbound

This paper cites Efficient speech transcription through respeaking.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Efficient speech transcription through respeaking

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.623790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:da4c87e029893ccf991f5880023ddc6802884169c7fef580cd3c99ecbf8670f3

Observation f45a94d5-e97c-4055-a41c-021f02f77136 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition React: Synergizing reasoning and acting in language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.626109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:b249ce783550a9a2de4a08b98e9a89b8549d015f7618b33df1898d0a902f3742

Observation 8aae615c-0cdd-4dfa-89c0-0b24114a8cd5 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Chain-of-thought prompting elicits reasoning in large language models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.633917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:cb8b47584e8a2efd217bf5e7f9badb9a55c55025d0d5e65b14991a518411891a

Observation 9727b7ec-bca4-4495-9d2a-728f3be473d7 · outbound

This paper cites The ASRU 2019 Mandarin-English Code-Switching Speech Recognition Challenge: Open Datasets, Tracks, Methods and Results.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition The ASRU 2019 Mandarin-English Code-Switching Speech Recognition Challenge: Open Datasets, Tracks, Methods and Results

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:49.103058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:dc4bd77e5b8ac8fc462e6b62be61424a9452a4edda8c4088b1e9dccdd4ff845f

Observation befac34a-ccf9-4788-82e2-266637a6f6f6 · outbound

This paper cites GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:41:07.146906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:100974b8e256fb096fee75c6281352c149e807678bb9799d116cbc3fb76fcdd0

Observation d50269c4-9d56-4b1d-94e8-8ae91289bf92 · outbound

This paper cites Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.616351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:26da7d7b58818e943cf1f8940b7a6be02955d01d5b92451273f5ef80d90be627

Observation 10534bd1-1b35-4090-8192-5db4ae352617 · outbound

This paper cites Qwen3 Technical Report.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Qwen3 Technical Report

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-11T00:41:07.138391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:cb682f4057d18ad5324eb4c69485b83f56b687b5436c4fe0575a1a19cf731451

Observation 066c6c75-1c36-4075-ab14-f14e9810b178 · outbound

This paper cites IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:41:07.162050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:369073c364913f1dc8ebb4016ce0f233ed2634e529906317d62639764df2a5e2

Observation 99a25ce7-2aec-46f0-b7be-8f1c021479e5 · outbound

This paper cites Zechner and K.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Zechner and K

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T04:09:00.638340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:41366e36d7c2280e541dfb573e834297b34c3bd20bbf25493b26a9f522b2cb3c

Observation a2ab57b1-b9d6-4151-8b8f-f8969f6d003c · outbound

This paper cites Proceedings of the Royal Society of London 58, 240–242.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Proceedings of the Royal Society of London 58, 240–242

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T18:25:42.967159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:510b64f49868708533e20c7e0c1f9d16198fead1127653d613e21977b0a2d267

Pith citing papers

Observation 81085b5b-0f18-4005-bc94-bd24329ffaf0 · inbound

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

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

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T00:41:07.124093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:22:08.670559Z digest=sha256:0a06c07ed6b23f155d5ab73fa33ea1720f25e3fd811a0336455432e1d9332923

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

AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach cites this paper.

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