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Paper Citation Record · LEDGER

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2608.09189.

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

pith.paper-citation-record.v1
2608.09189 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:52:46.705383Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84d87df0-2e29-47dc-a317-3861df254e5b · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.385208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.576288Z digest=sha256:7ba41ecef4d245d552637e05c7477764b242b71f07faf1d09ca33646427303ee

Observation 01c88ccb-bae5-4fd6-a1ba-d97519925d68 · outbound

This paper cites SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Reference 2

Resolution
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no resolver link, observed 2026-08-11T21:52:46.580175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.580175Z digest=sha256:6f489b870abbb6a3c3db2d5c24fe6dc9109b2a6078dea09df286de1d42d5a37a

Observation 4787ffdc-743e-41b7-b663-15e84fb30492 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 3

Resolution
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raw_fallback, observed 2026-08-11T21:52:47.376822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.583766Z digest=sha256:385422a4013af9c808893db288b5fc5eefabe6811fd2ffd85d62b8443d38ce6d

Observation 482d775e-b19e-49d2-9ae4-b25097575b49 · outbound

This paper cites VoiceBench: Benchmarking LLM-Based Voice Assistants.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models VoiceBench: Benchmarking LLM-Based Voice Assistants

Reference 4

Resolution
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no resolver link, observed 2026-08-11T21:52:46.587088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.587088Z digest=sha256:0728a0e5332cd0878ca857c89f13b587da37a407ab485453c93f83e2cb35b561

Observation bca3a85a-75ea-4163-bf15-eb35c1eacde8 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.368432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.590422Z digest=sha256:5ec769fd533d07fb9ab5e8e8b7187c3033b78f7a24ef8207a861a0894a6662d9

Observation 9500a49c-3edf-4331-9c8d-19981183eb4c · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.360278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.593438Z digest=sha256:e25eb56357b83d3100c55493aa568990da1d5fa6fd46f2656a54128102b4f622

Observation 2df0a905-e9b1-4fe0-bc29-39eaf31dea48 · outbound

This paper cites Qwen2-Audio Technical Report.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Qwen2-Audio Technical Report

Reference 7

Resolution
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no resolver link, observed 2026-08-11T21:52:46.596752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.596752Z digest=sha256:eb6e8dcaca0306b520754bf8bf93025c17fe5c1c5d24439c534247a7f2f44c7e

Observation 3ece12c1-776f-40d9-a775-58f819841227 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 8

Resolution
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no resolver link, observed 2026-08-11T21:52:46.600178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.600178Z digest=sha256:ec198c66c743370c0d495c5d90cc3e1c1daa451252d25d14ca0d3747aaf8f43f

Observation 9e2673d6-a486-495c-823d-e17601efc4ea · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.351997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.603512Z digest=sha256:8e270e02702e056bf04b38e27bf994949c8b67da3d19e21b893f29fb92a39b14

Observation a0d3d4a0-7ec4-41f1-858a-e52641e48c35 · outbound

This paper cites VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models

Reference 10

Resolution
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no resolver link, observed 2026-08-11T21:52:46.606480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.606480Z digest=sha256:50ea784942504cf06b5aea40f8a7ff4488c752e33cce70e1c645b0ef83bfdc28

Observation e7af6214-014b-49d2-b6d9-a94d5e326e64 · outbound

This paper cites Moshi: a speech-text foundation model for real-time dialogue.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Moshi: a speech-text foundation model for real-time dialogue

Reference 11

Resolution
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no resolver link, observed 2026-08-11T21:52:46.609635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.609635Z digest=sha256:28f9b61c41906245d2a341897466a49fa394a44a59c276fc9247dce4ddea7b8a

Observation 16f8d10b-1914-4278-bd98-3880391344a9 · outbound

This paper cites Kimi-Audio Technical Report.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Kimi-Audio Technical Report

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.612899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.612899Z digest=sha256:9985e32021013093d27a15295d8c8c7f027db0be3b2854a9bd748df1facee1d5

Observation 8c2adbe9-869a-48e7-9a50-94a15131c412 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.343550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.615866Z digest=sha256:995ef286bf075b735f2ba362422275e5702774a38c18a2b0866795e981835052

Observation f51f6a65-299d-4836-a65e-8e60726b7666 · outbound

This paper cites LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis

Reference 14

Resolution
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no resolver link, observed 2026-08-11T21:52:46.618653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.618653Z digest=sha256:e35b4c3a897654d6af2c78cad2b5f03ce76e6da520624a2f14c18a6b95e2de8d

Observation 8c7cf331-fbfb-493c-988f-3572e5d7badd · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.334058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.621739Z digest=sha256:dbfe68d55192f41b5b61586a94d1a14b652a86fc0a7daca2d2b4030bdcef2f6a

Observation dde9fed8-c747-439f-86fd-742934e2b115 · outbound

This paper cites OSUM-EChat: Enhancing End-to-End Empathetic Spoken Chatbot via Understanding-Driven Spoken Dialogue.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models OSUM-EChat: Enhancing End-to-End Empathetic Spoken Chatbot via Understanding-Driven Spoken Dialogue

Reference 16

Resolution
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no resolver link, observed 2026-08-11T21:52:46.624507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.624507Z digest=sha256:731aa78f638429baf06516e0cc7379c626b5b88f81f410ed996d99fe0d80fad5

Observation 6b98933a-fe2b-4378-abfc-e3f6255ef286 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 17

Resolution
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raw_fallback, observed 2026-08-11T21:52:47.325649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.627557Z digest=sha256:349c82700bf4490280568b5b2d65fee6b2fc900c3bf0da605a231901d44f6498

Observation f6a68aee-852f-4c71-887b-d7767bc0c778 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 18

Resolution
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no resolver link, observed 2026-08-11T21:52:46.630411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.630411Z digest=sha256:49eaaeda4ec74dbfa7ecc48c4d30498e979111b2e47f6f220c72a2c76cf2258c

Observation 532f94a3-dab5-4bf9-938e-9026d9560729 · outbound

This paper cites EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.633473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.633473Z digest=sha256:981945bb6130e05500456efe60884a3622515a9c883e3ae7eebea7dfe1861056

Observation fff411fa-53e8-4055-b2e4-c91586257a81 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.316926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.636761Z digest=sha256:723c7a566e8e20c4dfd2ddc8c0d1486a3222abcaada6a285cb2343ee2cef4a2c

Observation e716d0ba-da9b-4bd0-a96c-203c9938d4f7 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 21

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unresolved
no resolver link, observed 2026-08-11T21:52:46.641738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.641738Z digest=sha256:4f78a67009347ae2757293cfd18329392a62d31d0bf897b11d03261667d10e56

Observation 53b65b07-f069-4498-a6e2-5e2ab2c2cb75 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.644112Z digest=sha256:8f81f85bc03abe7951d42cd6dead1480fa1f45973e6d0b7111df9595c2f5a6fd

Observation b4d64760-8a12-4b93-a3db-59ab8fead4f5 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.299924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.646511Z digest=sha256:844765572519e050474e0f7c91d6e4fcc4c07917f8b054622dd1a533120f54a9

Observation c158376c-d338-4abd-bb5c-d86afdf768c9 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 24

Resolution
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raw_fallback, observed 2026-08-11T21:52:47.291206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.648749Z digest=sha256:f4bf0ed8fcad027df6760dfdff44cb2ab7d86bc762f9bf81af1bab99acc16ad3

Observation 1a3353b4-ed23-4cc6-af43-da5789dcf9a6 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-11T21:52:46.651031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.651031Z digest=sha256:e5c5d042beadaeaeec7f571cda2da86ff91faeb0a9cba7929701b39418d34960

Observation d1cd5326-80be-40fc-a6ee-5c223b18e4ac · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 26

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unresolved
no resolver link, observed 2026-08-11T21:52:46.653247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.653247Z digest=sha256:f635aece1d408fbe7a73318bcabd252bf24eb7bdfea5070cab9c77c7c9f839de

Observation b14cfb0d-ebe0-4162-8704-2a4a5b18830b · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.272549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.655426Z digest=sha256:e0b606d1c77161cecf9f255332d342537cb3a1615237868e73a91df073faa9f5

Observation f8ba0301-4ad6-4b6b-8bd7-8501b61d504b · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.263710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.657782Z digest=sha256:38c23341f7bb4f6ddafe3976c2f2ad74cf3a9849b537b2462b115675ab62d035

Observation 11f3f48e-f620-4b5c-8637-564527bb16fd · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.254423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.660608Z digest=sha256:009917d1ccd1e06df4f3bedbf7d6e79e7908808335f50bbb713b24486e439331

Observation c33c4c7b-42c8-4c14-9d19-a4e6bcd5a08f · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.245614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.663393Z digest=sha256:b505fa843ee70a8b4a9b613f3235df2f803303ddd482cfaf762c85ce1f1195a9

Observation cf41f029-0f04-4549-8902-30435afd334b · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.236707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.666194Z digest=sha256:69410930a176a72d7830812b47f5a41275459486f34e21f9e461a498b6b1d75f

Observation feed3321-6448-48b7-8669-5dad2c2b300e · outbound

This paper cites MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.668928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.668928Z digest=sha256:5b51dcba19cf76b17a88dc4f02ee1ec3e68bfa5b8c5742be12a8e566b5e84ff6

Observation d7d58ca4-75b7-4ca4-a871-4ba3e0d811be · outbound

This paper cites Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.672138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.672138Z digest=sha256:82ff19da67a820d48d9d1361b409fd6ad05c1409dd8d85df8f24b345e77bac5d

Observation 8a0ee5bb-0be5-4f12-9cde-5177e6029105 · outbound

This paper cites Lin, Andy T.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Lin, Andy T

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:52:47.226547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.675213Z digest=sha256:12e531a2e63cb36fe780bd578b8c14b00d82615232baec5b03486a1a532215e5

Observation 67b5f46b-5c28-498a-8fc7-1ddb35b3f016 · outbound

This paper cites Step-Audio 2 Technical Report.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Step-Audio 2 Technical Report

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.678289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.678289Z digest=sha256:73479178e0d9f7db08c7e76978acd93601fec4da560288884b865f6e80240a00

Observation 729ba4ee-a641-42f1-8399-b8dab5f67dec · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.681301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.681301Z digest=sha256:ac6a811e8e832558f4706cbef0784313d0b3f1430453b236d8f5665c37e14d2f

Observation 3288e320-e98a-4755-8d5b-7275bfc6499a · outbound

This paper cites Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.684127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.684127Z digest=sha256:a14255726c7b186adebe2936837caa6507a7fedf8a7e94a6f9e281610d61926f

Observation b40ac9f2-59a4-459b-8144-8dee267af72a · outbound

This paper cites Qwen2.5-Omni Technical Report.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Qwen2.5-Omni Technical Report

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.687195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.687195Z digest=sha256:8d69ab779415f0e2573643fc0a1be91a6bf58f45af49169b3d9a6b981023cdf1

Observation ebb8583b-1a91-41c6-b3ca-4d5bcf5d9e18 · outbound

This paper cites Qwen3-Omni Technical Report.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Qwen3-Omni Technical Report

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.690264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.690264Z digest=sha256:2a0eecdd8b1687569f1fbec358fc9027eca51946c16fb92dadbee6d891e15ef7

Observation 3cd002c4-2767-4fa8-87b2-2f129d8ec2a6 · outbound

This paper cites URO-Bench: Towards Comprehensive Evaluation for End-to-End Spoken Dialogue Models.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models URO-Bench: Towards Comprehensive Evaluation for End-to-End Spoken Dialogue Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.693385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.693385Z digest=sha256:2b79b0c131066c56f80558b56924f4ed67e536fe14f3fe9e76dea1a83e4e3527

Observation e0076c91-977f-42fa-9e8d-0d09a2cbfe2e · outbound

This paper cites Qwen3 Technical Report.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Qwen3 Technical Report

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.696430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.696430Z digest=sha256:f35de846648d57fa31a19a41884bd0e8d8162c933aa2927dc7caab43b954211b

Observation 1b3168e2-9674-4096-8f03-50bfaac808b5 · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:52:47.217349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.699695Z digest=sha256:03e8d6c76a70b245098d75a26c388e2e985efb9ce86eecc235974902bb7375b6

Observation e1017416-761d-4238-b0b2-6d2fd41503df · outbound

This paper cites an unresolved cited work.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.702563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.702563Z digest=sha256:0c2072d162c91ecb5c18085294f180346ae3aca5f253f5b53148723f9990b69f

Observation 9515d57e-b62e-4052-85c9-8c62812abc88 · outbound

This paper cites GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot.

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:46.705383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:46.705383Z digest=sha256:c6eb674658783bc15174dabcd35e5539d1c0bb45d9dd29c8af21001a58eb802d

Observation d9fcb904-03db-46a3-947c-dd2486a36f00 · outbound

This paper cites InICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models InICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:52:47.309021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:52:46.639377Z digest=sha256:603d8f91228139946d1f6f9eb6e05f42a0473b003c43f9e65c79db71aded0060

Pith citing papers

No inbound Pith citation observations are available.