Paper Citation Record · LEDGER

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.01881.

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

pith.paper-citation-record.v1
2608.01881 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:02:41.528122Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77fb404d-c569-4f15-a722-967f86973136 · outbound

This paper cites FSD50K: An Open Dataset of Human-Labeled Sound Events.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models FSD50K: An Open Dataset of Human-Labeled Sound Events

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:40.771164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7211c381-a8d4-40ec-9e22-b8567e9480d9 · outbound

This paper cites Full-Duplex-Bench-v3: Benchmarking Tool Use for Full-Duplex Voice Agents Under Real-World Disfluency.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Full-Duplex-Bench-v3: Benchmarking Tool Use for Full-Duplex Voice Agents Under Real-World Disfluency

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:40.932166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e2a3dbc-9498-453c-a23b-34a3e2ccf11a · outbound

This paper cites MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.013510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6187c0fc-5fe1-4a16-ad07-e5a4d9c68382 · outbound

This paper cites InIEEE Au- tomatic Speech Recognition and Understanding Workshop, ASRU2025,Honolulu,HI,USA,December6-10,2025,1–4.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models InIEEE Au- tomatic Speech Recognition and Understanding Workshop, ASRU2025,Honolulu,HI,USA,December6-10,2025,1–4

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.053261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b09f8e2-b07b-4cbf-ad50-41d679f06ce7 · outbound

This paper cites In Lacerda, F., ed.,18th Annual Conference of the Inter- national Speech Communication Association, Interspeech 2017, Stockholm, Sweden, August 20-24, 2017, 2616–2620.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models In Lacerda, F., ed.,18th Annual Conference of the Inter- national Speech Communication Association, Interspeech 2017, Stockholm, Sweden, August 20-24, 2017, 2616–2620

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.067683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34f5ce39-792b-48b8-87a2-61e208bc2c30 · outbound

This paper cites Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool Use.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool Use

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.107158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4f6fc5-f7b4-4187-9e5a-c35004e175f5 · outbound

This paper cites Sakshi, S.; Tyagi, U.; and Kumar, S.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Sakshi, S.; Tyagi, U.; and Kumar, S

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.148943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98553ed0-0e79-4d3e-a5ce-dc733f5d1faa · outbound

This paper cites Qwen3-Omni Technical Report.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Qwen3-Omni Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.221713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc62cbbc-a02d-4d4d-bb71-bace030c9f48 · outbound

This paper cites Qwen3.5-Omni Technical Report.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Qwen3.5-Omni Technical Report

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.256146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b09b3f9-95d8-4749-8218-152e34f768e0 · outbound

This paper cites Tong, S.; Li, X.; and Wang, Y.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Tong, S.; Li, X.; and Wang, Y

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.293091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f03065c-a706-42ed-8410-2f5b6d2d8c21 · outbound

This paper cites Wang, B.; Zou, X.; and Lin, G.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Wang, B.; Zou, X.; and Lin, G

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.335720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f0e38b8-5a61-44bb-a818-8123a40a4ac6 · outbound

This paper cites an unresolved cited work.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.353060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f91bf7a1-04a2-4871-b173-21ed1dd452e9 · outbound

This paper cites MSU-Bench: Towards Understanding the Conversational Multi-talker Scenarios.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models MSU-Bench: Towards Understanding the Conversational Multi-talker Scenarios

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.392890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c834345b-e7e9-450f-a683-d09f2176cb2e · outbound

This paper cites Audio-Mind: An Auditable Agentic Framework for Audio Understanding.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Audio-Mind: An Auditable Agentic Framework for Audio Understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.428446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb13be1e-37ad-453a-a48e-e22c2db5df73 · outbound

This paper cites Xie,Z.;Lin,M.;andLiu,Z.2025.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Xie,Z.;Lin,M.;andLiu,Z.2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.470759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9be4a0b8-7f58-41f1-a43b-7f2bb47ef9ac · outbound

This paper cites CoRR, abs/2606.15141.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models CoRR, abs/2606.15141

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.491746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13256ed0-1e9f-4e28-bbfc-217dd82fbb6a · outbound

This paper cites AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:40.653124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8bcbcec-dc56-4ace-9a1a-ea4a8567596b · outbound

This paper cites Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:40.885771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71e7252-bb08-46c4-9f06-f0a42d6c960f · outbound

This paper cites LibriMix: An Open-Source Dataset for Generalizable Speech Separation.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:40.730450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724f824a-7e93-4787-920e-4654dc3fc791 · outbound

This paper cites AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:40.804727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dcc0451-20e1-44a7-b907-4a2f4d95a0fc · outbound

This paper cites ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:40.969960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c752120-f0a1-4d5f-b55f-f14617d2bbb0 · outbound

This paper cites LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.528122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 132df9a7-37fb-47bd-a385-bfcccba9b1e1 · outbound

This paper cites MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.181470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adbdab8b-0935-4d1e-abf1-c57a5fb4f5e9 · outbound

This paper cites KimiTeam;Ding,D.;andJu,Z.2025.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models KimiTeam;Ding,D.;andJu,Z.2025

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:40.849020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d5a1be-9bd3-4ea1-8cc1-7032541fc61f · outbound

This paper cites CoRR, abs/2602.10439.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models CoRR, abs/2602.10439

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:40.693596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.