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Paper Citation Record · LEDGER

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering

As of 6 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.18718.

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

pith.paper-citation-record.v1
2607.18718 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:37:34.810212Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 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

35 of 35 outbound references displayed

  • verified exact0
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  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d55b62ab-d7c1-4e1b-87ff-e529d1becfb3 · outbound

This paper cites Measuring audio’s impact on correctness: Audio-contribution-aware post-training of large audio language models,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Measuring audio’s impact on correctness: Audio-contribution-aware post-training of large audio language models,

Reference 1

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source=pdf_text observed=2026-08-01T14:37:31.308928Z digest=sha256:90b025411b081b0365c2e869386485a2e2d2327e6a84bdc402d02ad2462bf1ea

Observation 6c9b0560-ae65-4a4f-ad63-c1468dd70705 · outbound

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

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Reference 2

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source=pdf_text observed=2026-08-01T14:37:31.395557Z digest=sha256:254b9077d91d9ddab0fbd5cb2a9241fd27c824e5ffc8f537120a0c882615b9ab

Observation ee5013f1-6efc-402a-b10f-21f3f7de974c · outbound

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

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 3

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source=pdf_text observed=2026-08-01T14:37:31.517268Z digest=sha256:2241fd975368e3b27a9137df497b9c8e7d47f4c923166293fe185a4814053a2d

Observation 86420a57-bfde-4078-acf6-b7c2317dfaba · outbound

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

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark

Reference 4

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source=pdf_text observed=2026-08-01T14:37:31.631868Z digest=sha256:db63d597a1f600f9131f2f7608a10c393a217cfb0d095ec058f7e83c3b58a7c1

Observation caa43371-926f-4fe6-86bb-6c9795b76a28 · outbound

This paper cites Audio-grounded hard-example training with acoustic tagging for audio-dependent question answering,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Audio-grounded hard-example training with acoustic tagging for audio-dependent question answering,

Reference 5

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source=pdf_text observed=2026-08-01T14:37:31.734364Z digest=sha256:c5a1a58fb09c75e67d4dc0c080dab32f0da0b6c9a56817655328ca792fbc9fc9

Observation 9fc619b0-91fc-4d2f-885e-b2ad75ed3cc0 · outbound

This paper cites Qwen3-Omni Technical Report.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Qwen3-Omni Technical Report

Reference 6

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source=pdf_text observed=2026-08-01T14:37:31.859074Z digest=sha256:2d35acdf190186d22558f3ccfa15af2599b95789d7e8dce5a388ba6f8d99bae3

Observation 475ea974-9a83-4ba5-91a9-a73f8cc0cf54 · outbound

This paper cites Fun-Audio-Chat technical report,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Fun-Audio-Chat technical report,

Reference 7

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source=pdf_text observed=2026-08-01T14:37:31.950287Z digest=sha256:08488bad5eeea8ca69152aa15bbbf7a5b7adfce50fff0f51cf32ea0736a67689

Observation 6d8ae40b-9d0f-4b74-b336-ea04cf2fab11 · outbound

This paper cites Kimi-Audio Technical Report.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Kimi-Audio Technical Report

Reference 8

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source=pdf_text observed=2026-08-01T14:37:32.043740Z digest=sha256:84fce6e6218ecbf7ab555ee80b3d8ec49664962c54953a382938ad93eb437010

Observation 21fa3fce-26cc-4de3-9cf1-592ee6860ae4 · outbound

This paper cites MiMo-Audio: Audio language models are few-shot learners,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering MiMo-Audio: Audio language models are few-shot learners,

Reference 9

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source=pdf_text observed=2026-08-01T14:37:32.130711Z digest=sha256:a4ab09b4e839dc9aa156836799074c0a46d796eacacff779579e7cc8b921222b

Observation 5442d012-9c64-49a4-a4cb-4496a9f5d386 · outbound

This paper cites Step-Audio 2 Technical Report.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Step-Audio 2 Technical Report

Reference 10

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source=pdf_text observed=2026-08-01T14:37:32.240577Z digest=sha256:f686ff3c67cc5a47db695b2b6ca239ee79412a039ab9d00f0342d734490913a6

Observation 40ce1bda-0752-4599-90f8-53709420fa9e · outbound

This paper cites MOSS-Audio Technical Report.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering MOSS-Audio Technical Report

Reference 11

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source=pdf_text observed=2026-08-01T14:37:32.397890Z digest=sha256:3c34d4b39e4e5f5fbfa5e3adbd554dc88e25e7e1ea3008420e87895d1d935a97

Observation b8049c65-21f1-4c5a-878c-252c59991c2f · outbound

This paper cites GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

Reference 12

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source=pdf_text observed=2026-08-01T14:37:32.540554Z digest=sha256:13a7e735e217ab3757b92e8d4472961059f03c9c2f56a2ecfe314f77d207eadd

Observation 28fd93b0-c23d-4690-8c25-beb0dfe3ec2b · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

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source=pdf_text observed=2026-08-01T14:37:32.670256Z digest=sha256:3b5dd3dded64a6fbb2d162443f3551079ce081e4419d44edc397f82f11df1586

Observation 73ec54cb-45a7-48be-9f3c-55397158d751 · outbound

This paper cites Learning from audio-dependency errors: Data curation strategies based on model confusion patterns in audio question answering,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Learning from audio-dependency errors: Data curation strategies based on model confusion patterns in audio question answering,

Reference 14

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source=pdf_text observed=2026-08-01T14:37:32.758302Z digest=sha256:3f6aeff9df291f17108933e2e2fae35267b8a246b6230adfc526a8f6f182b000

Observation f9977f6a-b611-4b2d-9d33-8fccd3de1de3 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering QLoRA: Efficient Finetuning of Quantized LLMs

Reference 15

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source=pdf_text observed=2026-08-01T14:37:32.880875Z digest=sha256:e13fbae91f560d2a37e8bd960d33e268432f5ded0e17657e6c3a96d82b3216c1

Observation 6695a8bf-fbd2-4001-89c7-a69607266ae9 · outbound

This paper cites Audio-dependent question answering at the DCASE 2026 challenge,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Audio-dependent question answering at the DCASE 2026 challenge,

Reference 16

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source=pdf_text observed=2026-08-01T14:37:32.936859Z digest=sha256:bf8a498d3eea374e61dd9f7cdff8b3cfdbb69a0c5c4812905a5e14cfbb9ee254

Observation e2088954-41f8-434d-9c93-eac1a9e8b4a0 · outbound

This paper cites Training-free inference- time exploration for audio-dependent question answering,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Training-free inference- time exploration for audio-dependent question answering,

Reference 17

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source=pdf_text observed=2026-08-01T14:37:33.041146Z digest=sha256:160d4e3d8976ae23fa656baa82f7ee800654f29aa649083987cd6f13f5bf9dac

Observation 4413bec2-677c-496d-aa36-42b47f242e36 · outbound

This paper cites Selective multi-modal RAG for DCASE 2026 task 5: Audio-dependent question answering,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Selective multi-modal RAG for DCASE 2026 task 5: Audio-dependent question answering,

Reference 18

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source=pdf_text observed=2026-08-01T14:37:33.166227Z digest=sha256:becca4525bd3c212534e857b8856dde04c13af08e2ae43b8290e70d78d1a95d6

Observation 5e911534-9e50-45ef-b28a-6d6f38b5d204 · outbound

This paper cites Structured audio reasoning and robust multi- sample inference for DCASE 2026 audio-dependent question answering challenge,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Structured audio reasoning and robust multi- sample inference for DCASE 2026 audio-dependent question answering challenge,

Reference 19

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source=pdf_text observed=2026-08-01T14:37:33.278290Z digest=sha256:d523a7dcbbe25ca1acdaf7dd891a0113f6b4f75f7d786d45795aecd1eadaa25c

Observation eabcf770-9df5-4772-9cdb-df6340fdbc84 · outbound

This paper cites DCASE 2026 audio-dependent question answering task,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering DCASE 2026 audio-dependent question answering task,

Reference 20

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source=pdf_text observed=2026-08-01T14:37:33.382819Z digest=sha256:778bbd751bbff0a4bd02df0cb3e7261c6e3f636a51fe921363ad5138c279a922

Observation 1b251d6d-8871-47f2-b7f0-47bd67dc40dd · outbound

This paper cites Curriculum learning for audio-dependent question answering: Technical report for DCASE 2026 task 5,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Curriculum learning for audio-dependent question answering: Technical report for DCASE 2026 task 5,

Reference 21

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source=pdf_text observed=2026-08-01T14:37:33.485131Z digest=sha256:3dda6327cf3c3c4c45af38c9e2c5f2595f0eff4f1ebb977ba024717d69b447b8

Observation e6ad336a-8f52-4c0c-8cb3-d9e11e8d5664 · outbound

This paper cites Task-leaf routed MiMo-Audio for DCASE 2026 task 5,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Task-leaf routed MiMo-Audio for DCASE 2026 task 5,

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:37:33.598342Z digest=sha256:9433911211ebe52d74bcb1f8b93dc64d82a40a990943af3d8d526d9d70e351bc

Observation cdfde793-6402-41e3-9697-a48b5c90664f · outbound

This paper cites Qwen2.5-Omni with all-audio audio-TAH for audio-dependent question answering,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Qwen2.5-Omni with all-audio audio-TAH for audio-dependent question answering,

Reference 23

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source=pdf_text observed=2026-08-01T14:37:33.710894Z digest=sha256:e7c1d7064c49fd03a1c522312fb0ee3a7de571d95ed4fe74afbad1251e817e01

Observation 23caed7c-11b2-4595-92c8-6a6f246be5c3 · outbound

This paper cites Fun-Audio-Chat-8B with LoRA fine-tuning for audio- dependent question answering,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Fun-Audio-Chat-8B with LoRA fine-tuning for audio- dependent question answering,

Reference 24

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source=pdf_text observed=2026-08-01T14:37:33.824043Z digest=sha256:7aa79d8dcf5809e31e8902e25aaf1eba8dc0370cd1339c3b1c393055b5df81ce

Observation 9f6be7a9-8dda-4ea3-9f47-a6c6b5e7f25b · outbound

This paper cites GISP@HEU’s submission for DCASE 2026 task 5: A LoRA-SFT fine-tuned audio-dependent question answering system,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering GISP@HEU’s submission for DCASE 2026 task 5: A LoRA-SFT fine-tuned audio-dependent question answering system,

Reference 25

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source=pdf_text observed=2026-08-01T14:37:33.941781Z digest=sha256:1e761c87cee47b7d9fe29c6b832c7b78c8351097acf68ca25c1b24bb3d64d04b

Observation 0ca9fe6c-54f5-4acb-baff-f4fd7aeba8ad · outbound

This paper cites Audio-dependent question answering with attention-anchored reinforcement learning on MiMo-Audio,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Audio-dependent question answering with attention-anchored reinforcement learning on MiMo-Audio,

Reference 26

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source=pdf_text observed=2026-08-01T14:37:34.065392Z digest=sha256:d1496c4313d515ef7dcc48ab928e78d5fd785a1ee38e487707836e42f0944ee7

Observation 66acb3a8-4839-473a-9eb4-eeb71579fce5 · outbound

This paper cites Audio question answering at the DCASE 2026 challenge,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Audio question answering at the DCASE 2026 challenge,

Reference 27

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source=pdf_text observed=2026-08-01T14:37:34.159486Z digest=sha256:c4ce7f3bc2222a8fd893e11bc01cf5468b5e83411f4a87c4c1722e0738b8a14c

Observation 21031767-ae98-4ceb-8845-d881f7ac07c0 · outbound

This paper cites Qwen2.5-Omni Technical Report.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Qwen2.5-Omni Technical Report

Reference 28

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source=pdf_text observed=2026-08-01T14:37:34.287866Z digest=sha256:25a577691a4dab82a71572b454c7a13d541707372bffdbdd7b4bf4196fc91002

Observation 7a95ceab-2e4b-49a8-9b75-8d0f1f252c81 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 29

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source=pdf_text observed=2026-08-01T14:37:34.321811Z digest=sha256:1b4aa2ad23c774adb1e5dfc43ebda2238cf66ff6af9c37efa2f90ddc2f9b49c5

Observation 2f2c02dd-1ce8-475e-a60d-6b00c2d470a6 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Robust Speech Recognition via Large-Scale Weak Supervision

Reference 30

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source=pdf_text observed=2026-08-01T14:37:34.402584Z digest=sha256:fe4819698bdc15d35b914da3a42873cfe73173a2af7c10acd0a5a3aa69f3d75a

Observation 035a6d33-64f0-4fec-9fe2-35560b7f139b · outbound

This paper cites pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe,

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:37:34.501710Z digest=sha256:ab6cdbe7c28c25287e4790524a20b5c1dc75b76b6af6531fa13432e472a51c8d

Observation f0492771-8af9-4cb4-816a-8263055a89cb · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 32

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source=pdf_text observed=2026-08-01T14:37:34.578209Z digest=sha256:160ca6163a5056ce32d278af3d9a43fb83a9282d7d69c1a9de3d9cc14b584515

Observation 90cf1a08-98f3-41dc-aeaa-252ff6b00606 · outbound

This paper cites Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

Reference 33

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source=pdf_text observed=2026-08-01T14:37:34.645956Z digest=sha256:bbfea912efc9b5004f55948b25ad55edb54e05646aa44de23ade06c0b26e685e

Observation 8069a673-dd83-4408-9153-a9f70123ca8a · outbound

This paper cites librosa: Audio and music signal analysis in Python,.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering librosa: Audio and music signal analysis in Python,

Reference 34

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source=pdf_text observed=2026-08-01T14:37:34.727468Z digest=sha256:522c8cbbaf09ad45af9534d9973f7d483cdd0f25c9fd5eb21ce9bac3265d16d3

Observation 21b9f970-9a5d-43b6-932e-bd504a854b9a · outbound

This paper cites Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Reference 35

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source=pdf_text observed=2026-08-01T14:37:34.810212Z digest=sha256:6c725a871af7956f1b8913174d7b86fd0fcf70f7af2c68274ab9f19731d3d57c

Pith citing papers

No inbound Pith citation observations are available.