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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.

pith.paper-citation-record.v1
2503.04721 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:32:49.025992Z

measured 1 of 1 external citation measurements

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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  • 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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T13:32:57.771753Z digest=sha256:b755dcaa528f4dcfd296d2ba11e46a839ff511b0415e4609693011829c5460ca

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.

source=pdf_text observed=2026-08-07T10:17:46.964197Z digest=sha256:61ce22286826cd96e55289a7e412732a0d4eb7b77c0d2db24d88a2db6d1f3c56

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.

source=pdf_text observed=2026-08-05T10:36:06.433253Z digest=sha256:85f87dc5db524658cece9b7c6ce3d441c073a29baae34cc3bb5a633e8fa25e3e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T11:51:43.561210Z digest=sha256:a3727a6ff3aa75ef6a5da85c943f131df9ad732d88ba1a333f2d8b2b2d55ee36

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.

source=pdf_text observed=2026-08-04T11:06:46.172940Z digest=sha256:6642eae9abb608b73621b957322483b6442217259e33696ed2593f50063cc3ce

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.

source=pdf_text observed=2026-08-03T00:56:57.985671Z digest=sha256:c2e6379ceb6d3e37234f5e03b498b5ab0b78e72b188275fde8b5b199ed99ca4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T13:43:52.671745Z digest=sha256:c5e507625ff87edb7b11411ec34f090685653092fd8cc8990e12d38040f293d8

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.

source=pdf_text observed=2026-07-13T23:27:58.971096Z digest=sha256:18d63397b522d3ac787f464e6ee8a6f037e368a8e75bb56314e74f23954f2db6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T08:34:56.898815Z digest=sha256:f6f19d31a83b0f393e54620e9788d07a2d96c2f40ee070bb2508a61b1fa0dbda

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T10:43:27.176535Z digest=sha256:6af4d80199c5755dd25698e7341e535e7f57922c115cf68a80f38bb74dbe4300

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.

source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:e466263a78236cdf246f843b08a6f12e2a981ffddae27b6efb9379ec233ebf24

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T00:38:52.182973Z digest=sha256:073f74ac924564665a23c89657bb404733acb7e2ddb576eabb2dcab750617324

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.

source=pdf_text observed=2026-07-14T19:56:33.793167Z digest=sha256:c3e1be852971576785f3f1cb51917fc115e1ed641a0812ff9410abc2f04fd1ea

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T20:55:09.141906Z digest=sha256:1843f850a6f9e5af339116cae0a1283314fd52bb67c11931351d44933ce59709

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T17:05:45.214298Z digest=sha256:884c374a32b5fc21fd122ee7911297efcc7cdd5a7395646dcde8c52a7728774e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T13:19:44.156822Z digest=sha256:d35b9fb3d729b562717b7003dc723ec3a88d69b20cb5affc6b0cf7322a0f2c04

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T01:37:31.252556Z digest=sha256:ffbcefc10290d670466edab0237471dc098637c72d843078e78c7ecda577dbc3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T22:40:05.658212Z digest=sha256:37916401f72ccfa93846d709862f568b37e4d4fc47a895f96fc7fcfbdafcae63

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T17:30:51.434783Z digest=sha256:c1d413df71652f2df93ee75a5791f5fd340e7937317f760ea080e1d3ffcf4b8d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:18:50.219775Z digest=sha256:72397d5bd5966cd0d6ad62c0ba2a79b86ab17ec328c675a7f81bbcc11c29d328

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T13:36:44.071188Z digest=sha256:0a8d1395a1b3f51d79d23e20c2e8c53be80bd70e08deb2d2b834ca9145c2fc1f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-04T01:11:42.073993Z digest=sha256:0f5abcfc2c331bca898f86013678cbb0802ea6f658b26089c5d82faee3a1381f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T07:38:23.099479Z digest=sha256:3f8708f6b3cb112678530872086a915fddead970915b88af90ecc44891d62407

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T07:44:41.218602Z digest=sha256:2ce284d8bce177918e480a3681fe882548ac0532a5a6677f401f9ee7c284fd55

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T02:41:13.583493Z digest=sha256:cbfcc5190cf760ece84ba8ad1ee5d031062330634041143ec0343b6abe3cbc15

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T17:32:58.848455Z digest=sha256:a2c2ac6d72eab53e946ddbcc564401871c011bf8984e5382f7e01030203bc883

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T22:58:38.610609Z digest=sha256:7187c673ae7c3fb5e95ddb83f94f38695682f796402b8e43bbc0aff09b709292

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T08:28:50.818250Z digest=sha256:b887346a846d6a6b794d16b7f6239ec53366282eea8a60ba1bb6fcb295f8f7d2

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.

source=pdf_text observed=2026-08-02T12:51:51.235705Z digest=sha256:f28e20cc3f3a380cfad0f1725a3df378f40e870b56e2e8d6c2f773fecd33ab06

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T12:54:20.815371Z digest=sha256:d36b92339f3f047971eee715fbed773985f5d1dc738e6b0efcb418c01a50b884

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T12:53:00.569655Z digest=sha256:27442ceb99e7aa5d2ee9db4482a600a7681c763731545f33127b5273f2046deb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T13:22:52.428152Z digest=sha256:c4852c1e6581dae37a5ec06c2cd6256bf9519421dbc512ab21788ca9f086f509

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T05:37:17.684884Z digest=sha256:0a606fe0c1730d44b58268d6f6155d6f8d294a741577e14af44a6cbeaca4922c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T01:14:24.096827Z digest=sha256:107e6e4e2a634b325ba04221d6f523b338c2170cc57b28587194c993cf943d28

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T19:02:16.119373Z digest=sha256:8c257895b1dd303eff94e5dca3c9d9f9b7b1a860aaed32562d03bc702c16d1f0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T06:38:28.718164Z digest=sha256:b46a62c9ba9467aefb8567b807ecd04badb7990f7d63b0a4d7289993b73602eb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T21:22:38.888528Z digest=sha256:7e804b67d2679124cfa5f49e673ef47a9448cfb02dd15498d43ec327ce6b8b30

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.

source=pdf_text observed=2026-07-12T08:53:13.408944Z digest=sha256:4fbfcc76859852f609a09f78e8429376d0e60f88ac932a8a6c90c5f4ddfdca7e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-08T02:38:31.073805Z digest=sha256:6cd10d1fb6389ccdb2f01cefeaa0c63e70f6b9b56a4624b32091fd6471f3fdd3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-10T14:13:50.737253Z digest=sha256:bf8c881bb3863f9ae3e8343cdada336bb7a0b66c7376d8ca73a65d85dbd778f8

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.

source=pdf_text observed=2026-08-01T01:56:12.513345Z digest=sha256:0a575156978590088e2f682aeae544bb0ddc7e853f9af403747bd3818d7129d1

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:32:49.025992Z digest=sha256:ff63a61901604124358c49ced451a8bc919b0c1048cf98cf4f224729f8a61f34