Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2503.04721.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:32:49.025992Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
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- unresolved0
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- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c990e527-a1ec-4f8b-bfa5-177fdfc5632a · inbound
Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey cites this paper.
Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:34:53.252276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2beac486-2194-4931-801e-d0db7e483580 · inbound
A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.
A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 211
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:17:46.964197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ae4e850-b523-4a30-8178-090802812d79 · inbound
VoxRole: A Comprehensive Benchmark for Evaluating Speech-Based Role-Playing Agents cites this paper.
VoxRole: A Comprehensive Benchmark for Evaluating Speech-Based Role-Playing Agents Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:36:06.433253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae7a5176-6145-4323-9212-42779a9eeeb4 · inbound
Game-Time: Evaluating Temporal Dynamics in Spoken Language Models cites this paper.
Game-Time: Evaluating Temporal Dynamics in Spoken Language Models Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T11:52:35.699998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8cf06290-04af-4d4b-b500-0508e399abb4 · inbound
AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues cites this paper.
AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:06:46.172940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02ecf6c8-f8e1-4925-a5e4-758781b5a2ec · inbound
S-MARC: Causal Streaming Reasoning for Full-Duplex Conversational Behavior Modeling cites this paper.
S-MARC: Causal Streaming Reasoning for Full-Duplex Conversational Behavior Modeling Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:56:57.985671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f89d0edd-88b5-423c-a8a5-0b2744e6b8fd · inbound
MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings cites this paper.
MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T13:45:52.191015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4d1a2681-0ef6-4f88-9f53-f1ecc6d8006a · inbound
SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models cites this paper.
SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T23:27:58.971096Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84b59eb0-9027-4405-8b14-a3a8b050e2c8 · inbound
The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning cites this paper.
The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:35:18.332156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 18452c28-839f-4e4a-9ca9-6f0052de6f34 · inbound
The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning cites this paper.
The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:44:07.708466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 78557d2d-64ad-4879-96b8-4f415f42d721 · inbound
The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning cites this paper.
The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T22:57:11.059962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d284d9fc-9333-407c-8c48-5b07ce5ebc4a · inbound
TiCo: Time-Controllable Spoken Dialogue Model cites this paper.
TiCo: Time-Controllable Spoken Dialogue Model Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T00:39:35.848037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e7a7203a-509e-4929-92eb-fe3566c3525a · inbound
Sharp spectral estimates for free boundary problems arising in plasma physics cites this paper.
Sharp spectral estimates for free boundary problems arising in plasma physics Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T19:56:33.793167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64793511-de1c-4a0d-8a5e-c9775f3fc9a6 · inbound
FastTurn: Unifying Acoustic and Streaming Semantic Cues for Low-Latency and Robust Turn Detection cites this paper.
FastTurn: Unifying Acoustic and Streaming Semantic Cues for Low-Latency and Robust Turn Detection Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T20:58:15.966852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7136dbb4-8133-401b-8763-cc7524c90adb · inbound
ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models cites this paper.
ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:35:58.704003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a564a572-ba84-4537-a1e1-b19a3e535b6d · inbound
Full-Duplex Interaction in Spoken Dialogue Systems: A Comprehensive Study from the ICASSP 2026 HumDial Challenge cites this paper.
Full-Duplex Interaction in Spoken Dialogue Systems: A Comprehensive Study from the ICASSP 2026 HumDial Challenge Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T18:56:06.718800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 777175d0-7ec6-4d73-b40f-8715caee59d2 · inbound
Engagement Process: Rethinking the Temporal Interface of Action and Observation cites this paper.
Engagement Process: Rethinking the Temporal Interface of Action and Observation Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:42:04.088344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ceddedf4-47e1-4264-b090-c9b58327f235 · inbound
Engagement Process: Rethinking the Temporal Interface of Action and Observation cites this paper.
Engagement Process: Rethinking the Temporal Interface of Action and Observation Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T13:45:46.531430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2ba30418-8c22-4a4e-ab69-e5498a9f4cf8 · inbound
EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents cites this paper.
EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T17:32:30.671308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d7fcef41-b114-4c76-9f6b-2a7add5d7f53 · inbound
EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents cites this paper.
EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T14:25:47.121399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0571a4ea-d4cc-4d8f-83d6-aaa41abe1d58 · inbound
Omni-DuplexEval: Evaluating Real-time Duplex Omni-modal Interaction cites this paper.
Omni-DuplexEval: Evaluating Real-time Duplex Omni-modal Interaction Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T13:38:19.132231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f9325fc2-671f-4baf-9400-52b50a1a7f57 · inbound
Omni-DuplexEval: Evaluating Real-time Duplex Omni-modal Interaction cites this paper.
Omni-DuplexEval: Evaluating Real-time Duplex Omni-modal Interaction Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T01:19:20.266187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b9fd82de-09c3-44a5-b2e9-acfc33543015 · inbound
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook cites this paper.
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 96
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T07:39:48.826169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 58b016e8-e817-4b13-baf2-6364735ad6f2 · inbound
Synchronization and Turn-Taking in Full-Duplex Speech Dialogue Models cites this paper.
Synchronization and Turn-Taking in Full-Duplex Speech Dialogue Models Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T07:44:48.635509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d4adfbf8-d97b-4954-bbe0-ddfe943f03f3 · inbound
DuplexSLA: A Full-Duplex Spoken Language Model with Synchronized Speech, Language, and Action cites this paper.
DuplexSLA: A Full-Duplex Spoken Language Model with Synchronized Speech, Language, and Action Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T02:43:55.073184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 34394e45-5b0c-431d-baca-212bcd26ae95 · inbound
DuplexSLA: A Full-Duplex Spoken Language Model with Synchronized Speech, Language, and Action cites this paper.
DuplexSLA: A Full-Duplex Spoken Language Model with Synchronized Speech, Language, and Action Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T17:34:57.367281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a59d39be-10e7-40e4-8607-b9d0fa3a9477 · inbound
Toward Native Multimodal Modeling: A Roadmap cites this paper.
Toward Native Multimodal Modeling: A Roadmap Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 281
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T23:04:01.943523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 664871ce-2e33-4d30-a607-c518bb221e4b · inbound
VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents cites this paper.
VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T08:33:15.305457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5411a39f-93f5-46f6-b218-34a104756923 · inbound
VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents cites this paper.
VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:51:51.235705Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c638c299-5ffc-48b8-8338-4b8eb26dafe0 · inbound
SpeechEditBench: A Bilingual Multi-Attribute Benchmark for Instruction-Guided Speech Editing cites this paper.
SpeechEditBench: A Bilingual Multi-Attribute Benchmark for Instruction-Guided Speech Editing Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T01:06:23.921592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b5ff4194-1ca8-44b0-96fd-9c68d743e00a · inbound
Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models cites this paper.
Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-27T13:20:57.365401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 61276ce8-f43d-41b8-9bb6-4b520184071e · inbound
Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering cites this paper.
Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T05:07:39.487661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5c13e92f-89b3-4bd4-9d7a-16bd3f4dab9d · inbound
Endpoint Anticipation for Low-Latency Spoken Dialogue cites this paper.
Endpoint Anticipation for Low-Latency Spoken Dialogue Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 44
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T16:28:39.138388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b8516e12-846a-4276-ae49-8288f3a2b13b · inbound
Evaluating Large Language Models Abilities for Addressee, Turn-change, and Next Speaker Prediction in Meetings cites this paper.
Evaluating Large Language Models Abilities for Addressee, Turn-change, and Next Speaker Prediction in Meetings Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T20:38:55.734168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 94e724fe-7e45-4836-9408-5f39b7802450 · inbound
A Survey of Full-Duplex Spoken Dialogue Systems: Architectural Hierarchy, Interaction Ontology, and Decision State Machine cites this paper.
A Survey of Full-Duplex Spoken Dialogue Systems: Architectural Hierarchy, Interaction Ontology, and Decision State Machine Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T02:49:25.047644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 412a0332-87c7-440b-ae1b-02c31de5591b · inbound
FacePlex: Full-Duplex Joint Speech-Facial Motion Generation for Conversational Avatars cites this paper.
FacePlex: Full-Duplex Joint Speech-Facial Motion Generation for Conversational Avatars Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T06:44:19.409994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 968c6909-3f88-4d99-951a-81f2048b35de · inbound
TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue cites this paper.
TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T21:28:58.303637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 977ce5cb-4b35-4328-bf34-c75362b4436c · inbound
TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue cites this paper.
TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T08:53:13.408944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c58e7d2-efcf-4901-a686-426ef16586fb · inbound
Hierarchical Acoustic-Semantic Modeling: Modality Separation and Semantic Coherence for Full-Duplex SLMs cites this paper.
Hierarchical Acoustic-Semantic Modeling: Modality Separation and Semantic Coherence for Full-Duplex SLMs Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T02:44:27.586165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 25971a8a-8c26-46ea-87ba-1e2cf16b58d8 · inbound
A Reliability Assessment of LALM Audio Judges for Full-Duplex Voice Agents cites this paper.
A Reliability Assessment of LALM Audio Judges for Full-Duplex Voice Agents Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T14:17:10.076707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a86a3fd3-8800-476b-a9e9-0bd5e4630dfc · inbound
Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO cites this paper.
Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:56:12.513345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fc3334f-f379-4d85-a5c1-1bc69897d017 · inbound
PACE: A Playback-Aligned Context Engine for LLM-Based Full-Duplex Voice Dialogue cites this paper.
PACE: A Playback-Aligned Context Engine for LLM-Based Full-Duplex Voice Dialogue Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:49.025992Z
Source-reported events for the cited work
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