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Paper Citation Record · LEDGER

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.20666.

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

pith.paper-citation-record.v1
2507.20666 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:27:37.461241Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 478cb28d-d14f-43ce-b8d1-45b39999aed5 · outbound

This paper cites Description and discussion on DCASE2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Description and discussion on DCASE2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.811556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.354232Z digest=sha256:75922eee4476799276eed436b4fbddd8aa3838c46a64ddcef12788e124bb430c

Observation 74d325a9-5f25-438f-8141-371e17b48930 · outbound

This paper cites Audio surveillance of roads: A system for detecting anomalous sounds,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Audio surveillance of roads: A system for detecting anomalous sounds,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.802287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.357948Z digest=sha256:44204a133996a3847b6cd0600af2c16d242b98641d250e945e52f9907f3fec2f

Observation fc07ac51-5e50-4579-9f60-5f7318001671 · outbound

This paper cites Deep autoencoders for acoustic anomaly detection: Experi- ments with working machine and in-vehicle audio,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Deep autoencoders for acoustic anomaly detection: Experi- ments with working machine and in-vehicle audio,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.792663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.361769Z digest=sha256:a26c12ec449f24e1579380a1772ea953e9b31f9c68c9398290e4698abca8e336

Observation 070e64b4-97da-4019-8f41-611e4c4a492f · outbound

This paper cites Anomalous sound detection based on interpolation deep neural network,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Anomalous sound detection based on interpolation deep neural network,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.783029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.365501Z digest=sha256:3c84e55e4ec856741a1e0f5a0a80ebd19e7ce547c058674646b5f2399d4ab626

Observation 9231dd01-b1d4-44eb-8385-d72676e190f1 · outbound

This paper cites Detection of anomalous sounds for machine condition monitoring using classification confidence,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Detection of anomalous sounds for machine condition monitoring using classification confidence,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.772334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.369540Z digest=sha256:e4c2a146dddef51aa7396599be74eb120616b43605c5e7479fd26c5a215777c7

Observation 7ce59acd-65fe-4a38-986d-e04213f1fcf6 · outbound

This paper cites Fraunhofer FKIE submission for task2: First-shot unsu- pervised anomalous sound detection for machine condition monitoring,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Fraunhofer FKIE submission for task2: First-shot unsu- pervised anomalous sound detection for machine condition monitoring,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.762784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.373032Z digest=sha256:c853aaf7ae7f5470899075508f0e2da0f2754aafc49d4faf2edc50dfc217d5a7

Observation 347cc56c-3f41-4471-8911-1fe7640e24a4 · outbound

This paper cites An effective anomalous sound detection method based on representa- tion learning with simulated anomalies,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection An effective anomalous sound detection method based on representa- tion learning with simulated anomalies,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.753487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.376559Z digest=sha256:eed8effe2f8d466104cd0d6560d86eb48f066c218bb346e41608a638050106ce

Observation 73ed867c-760c-474c-b588-48d3e625b04a · outbound

This paper cites Regularized contrastive masked autoencoder model for machinery anomaly detection using diffusion-based data augmentation,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Regularized contrastive masked autoencoder model for machinery anomaly detection using diffusion-based data augmentation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.743330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.379421Z digest=sha256:a0fadf17d2e721069c7af7f4cb01e758eb508899ef375564280b0b1181839a92

Observation 38599276-a2c0-49b2-911f-a607b2da50c2 · outbound

This paper cites First-shot unsupervised anomalous sound detection with unknown anomalies estimated by metadata-assisted audio generation,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection First-shot unsupervised anomalous sound detection with unknown anomalies estimated by metadata-assisted audio generation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.734044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.382495Z digest=sha256:bd8a4d0ec0aa9a5c50e452dca7ca13d334cd4560d7704463d0583258ff5dd457

Observation 569995bc-8aca-423a-8b83-fc34c63f1880 · outbound

This paper cites MIMII-Gen: Generative Modeling Approach for Simulated Evaluation of Anomalous Sound Detection System.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection MIMII-Gen: Generative Modeling Approach for Simulated Evaluation of Anomalous Sound Detection System

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:27:37.508175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.385798Z digest=sha256:e5d6954f0ee3c5768c56186d61b652f90188b4da0c7d0f1b318a9d07bc2984bd

Observation 7a04dfc8-3eed-4cee-a114-f23ec8fc49b5 · outbound

This paper cites Description and discussion on DCASE 2021 challenge task 2: Unsupervised anomalous sound detection for machine condition monitoring under domain shifted conditions,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Description and discussion on DCASE 2021 challenge task 2: Unsupervised anomalous sound detection for machine condition monitoring under domain shifted conditions,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.724449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.389173Z digest=sha256:4478cdc60711906912558a8815a8aa1af9e0a92eac9323ab4d3752c6f8980bb0

Observation e5120a34-fc4b-41b6-88b8-be01d560c056 · outbound

This paper cites De- scription and discussion on DCASE 2022 challenge task 2: Unsupervised anomalous sound detection for machine condition monitoring applying domain generalization techniques,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection De- scription and discussion on DCASE 2022 challenge task 2: Unsupervised anomalous sound detection for machine condition monitoring applying domain generalization techniques,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.715001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.392158Z digest=sha256:684e0bac9824c75e0f0ef1a326b19dc7133facc40a1d38bcd3ed10e8e61fb666

Observation b778d579-3a94-4b9d-92f6-8638b4d144d9 · outbound

This paper cites Description and discussion on DCASE 2023 challenge task 2: First-shot unsupervised anomalous sound detection for machine condition monitoring,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Description and discussion on DCASE 2023 challenge task 2: First-shot unsupervised anomalous sound detection for machine condition monitoring,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.705680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.395294Z digest=sha256:3298bd405e56e6402ab367f973e05714f33406047b42f47fd6c3448e859c7b22

Observation e63be502-e817-44a9-821a-1224bcf79d2a · outbound

This paper cites Description and discussion on DCASE 2024 challenge task 2: First- shot unsupervised anomalous sound detection for machine condition monitoring,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Description and discussion on DCASE 2024 challenge task 2: First- shot unsupervised anomalous sound detection for machine condition monitoring,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.696342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.398475Z digest=sha256:d78806f8fe29aa0eb726e294cbc1fcf96eafbc8c3f53693bcc4f717665ef92b4

Observation 55938424-608e-4230-b2e7-70d2350efaa7 · outbound

This paper cites ToyAD- MOS: A dataset of miniature-machine operating sounds for anomalous sound detection,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection ToyAD- MOS: A dataset of miniature-machine operating sounds for anomalous sound detection,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.687369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.401610Z digest=sha256:11dce27429554b84afd5f71adedf3a25bd2645f119b3783c22fa3a7a08c8b85c

Observation 0851b8d0-e41d-48ba-b656-20ef6d1c683d · outbound

This paper cites ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.678850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.404576Z digest=sha256:0ce3c5f418521d6eabf88bdd5114aa8f328af23b9dfa23e929085d68b97069a8

Observation a9bb2bf8-125c-4cd9-ab96-9aeb23f7c904 · outbound

This paper cites ToyADMOS2+: New ToyADMOS data and benchmark results of the first-shot anomalous sound event detection baseline,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection ToyADMOS2+: New ToyADMOS data and benchmark results of the first-shot anomalous sound event detection baseline,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.669903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.407662Z digest=sha256:f20d8a2433a80a4029dbc35ed27a28a6ca5fbac8719fa350afc347573695852a

Observation b00f8faa-31ea-40f8-bccd-f98d983c95ca · outbound

This paper cites ToyADMOS2: Yet another dataset for the DCASE2024 challenge task 2 first-shot anomalous sound detection,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection ToyADMOS2: Yet another dataset for the DCASE2024 challenge task 2 first-shot anomalous sound detection,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.661228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.411204Z digest=sha256:0ca15a94969c4a4d5f12bea0954edafa01fdf723bde37000fc56c95482c98f64

Observation 01b93428-3326-4e25-baf5-4d890ac8153f · outbound

This paper cites MIMII dataset: Sound dataset for malfunctioning industrial machine investigation and inspection,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection MIMII dataset: Sound dataset for malfunctioning industrial machine investigation and inspection,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.652239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.414455Z digest=sha256:e46b60ec05415367d074f7f3a7305064d7a9c62b395e9290e8d12b83c5deba2e

Observation b923498b-b429-4223-9d02-f5af48bb2aef · outbound

This paper cites MIMII DUE: Sound dataset for malfunctioning industrial machine investigation and inspection with domain shifts due to changes in operational and environmental conditions,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection MIMII DUE: Sound dataset for malfunctioning industrial machine investigation and inspection with domain shifts due to changes in operational and environmental conditions,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.643794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.417844Z digest=sha256:d2d5db01f22ae87a224b030d32e87a22812baa39598fab6323121348c22d75b7

Observation 82b23231-c3b0-4ac7-aaee-fba232627d24 · outbound

This paper cites MIMII DG: Sound dataset for mal- functioning industrial machine investigation and inspection for domain generalization task,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection MIMII DG: Sound dataset for mal- functioning industrial machine investigation and inspection for domain generalization task,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.634738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.421159Z digest=sha256:a6e1853caf05a461101ccc24b231e8f0ac301d314ca3eed81d7312a46e33aee9

Observation 3a1a2e1e-c3f1-406e-89a2-19699b6fa512 · outbound

This paper cites Unsupervised detection of anomalous sound based on deep learning and the Neyman- Pearson lemma,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Unsupervised detection of anomalous sound based on deep learning and the Neyman- Pearson lemma,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.625582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.424872Z digest=sha256:4efef9c869d3723bb0961845ec27bd692fb5df69a364ef65f00eb6916a57155e

Observation 5e518867-167a-485c-ba8f-13e142a977a4 · outbound

This paper cites Anomalous sound event detection: A survey of machine learning based methods and applications,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Anomalous sound event detection: A survey of machine learning based methods and applications,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.615994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.427913Z digest=sha256:db22f71d84fccd0151982601d83b0ded3e3e148ff5fe14565bf1e4e75dca9d82

Observation 63354b4d-93f0-4de4-a9b0-333a298e4f4f · outbound

This paper cites Unsu- pervised anomalous sound detection for machine condition monitoring using classification-based methods,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Unsu- pervised anomalous sound detection for machine condition monitoring using classification-based methods,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.606796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.430807Z digest=sha256:6a45ad82420afdde2d168e7d18e21c74d964441fe3cf8279786c181a7183e127

Observation a190aced-f7cf-4cd6-a439-6269c946db1d · outbound

This paper cites AudioLDM: Text-to-audio generation with latent diffusion models,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection AudioLDM: Text-to-audio generation with latent diffusion models,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.597733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.433736Z digest=sha256:be632cd5766f6025c91091f22334133f739a901e0b9892c3c934ddf6c2720166

Observation b411bdd6-cd8b-4efc-91e7-0d3efa525d80 · outbound

This paper cites CLAP: Learning audio concepts from natural language supervision,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection CLAP: Learning audio concepts from natural language supervision,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.588514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.436653Z digest=sha256:d05fe1317c4d178c475b931143603c3cdd296b98187c40d4475126e77d554608

Observation b4b63e85-9e05-47dd-bce7-ad5213c4c8dd · outbound

This paper cites Make-An-Audio: Text-to-audio generation with prompt-enhanced diffusion models,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Make-An-Audio: Text-to-audio generation with prompt-enhanced diffusion models,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.578806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.439774Z digest=sha256:6c80abe93aef22257add0cde15d22f9eba0545527f97919b72cd58c965dcfa38

Observation 5bcfecdf-e032-447d-a6da-a97c97ae2b62 · outbound

This paper cites Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T13:27:37.442629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:27:37.442629Z digest=sha256:393c7a1526c132cea9defb1a13daa8292e01db79d9fe4a822beddebbd8fc33b6

Observation dd437f7c-fbd7-4720-9b1d-ede51f706825 · outbound

This paper cites AudioLDM 2: Learning holistic audio generation with self-supervised pretraining,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection AudioLDM 2: Learning holistic audio generation with self-supervised pretraining,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.569838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.446025Z digest=sha256:4f8a541ed7c0804dc5916112858e95ec7d1ec694810c6c3e6ce6e8d0bf15bb5d

Observation 2570e74e-b6a7-4f62-aba3-7e472fe1dddb · outbound

This paper cites AudioLCM: Text-to-audio generation with latent consistency models,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection AudioLCM: Text-to-audio generation with latent consistency models,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.559543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.449052Z digest=sha256:19c48029d0a153f071d503d92f17b332e3ea3d628ebb420a506d6b4b6186b707

Observation d8defbe9-331a-4a51-8091-6824cf510419 · outbound

This paper cites ConsistencyTTA: Accelerating diffusion-based text-to-audio generation with consistency distillation,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection ConsistencyTTA: Accelerating diffusion-based text-to-audio generation with consistency distillation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.549783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.452059Z digest=sha256:de3573e7cb9ddac356ce7e18fc57a23912b24389fca7f4c3f6182546e50b54c2

Observation d7635c92-ed47-4240-bdf1-9d8a4992b192 · outbound

This paper cites SoundCTM: Unifying score-based and consistency models for full-band text-to-sound generation,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection SoundCTM: Unifying score-based and consistency models for full-band text-to-sound generation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.539673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.454880Z digest=sha256:0b0a2cd3118e85f5847515d78356536849a23181d1faceb3725e6af31cc0fa57

Observation f1a62ec1-ad07-4223-95b1-77ba37365e70 · outbound

This paper cites Tango 2: Aligning diffusion-based text-to-audio generations through direct preference optimization,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Tango 2: Aligning diffusion-based text-to-audio generations through direct preference optimization,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.529529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.458152Z digest=sha256:6503d156f86af443bcc4efe17aacfd8f729b5fb3db958a3e16273bd3d0383971

Observation e91e443d-46c6-4218-ac2b-4cad042da24f · outbound

This paper cites Scaling instruction-finetuned language models,.

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection Scaling instruction-finetuned language models,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:27:37.519631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:27:37.461241Z digest=sha256:cd6bf999147e445f8d92aeb41dc7b468c65f4291a5156c5933b23ae35492116b

Pith citing papers

No inbound Pith citation observations are available.