Paper Citation Record · LEDGER

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2607.06179.

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

pith.paper-citation-record.v1
2607.06179 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T14:20:24.828073Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T14:20:24.828073Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-08T14:25:02.442305Z

Reference resolution

34 of 34 outbound references displayed

verified exact4
verified fuzzy25
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68f5d043-9226-4862-b467-bef6ec5da71e · outbound

This paper cites TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-08T14:25:02.443766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ad48bc4-98a2-4a7f-a5d4-5e478551fdc4 · outbound

This paper cites As illustrated in Figure 1, the TriA Pipeline consists of four main stages: Standardization, Audio Activity Detection (AAD), Audio Event Detection (AED), and Filtering.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios As illustrated in Figure 1, the TriA Pipeline consists of four main stages: Standardization, Audio Activity Detection (AAD), Audio Event Detection (AED), and Filtering

Reference 2

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T14:25:02.572084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4860a9ff-b559-41c5-a79e-0f0ead916de6 · outbound

This paper cites an unresolved cited work.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-07-08T14:25:02.593769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54f1761a-98de-4a6f-b96b-316cb01fc0f5 · outbound

This paper cites For each task, three experiments are conducted.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios For each task, three experiments are conducted

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.597007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca8344e8-25e7-4d86-a44f-caadbaf301d0 · outbound

This paper cites It efficiently converts audio collected from various streaming platforms into high- quality training data with event annotations.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios It efficiently converts audio collected from various streaming platforms into high- quality training data with event annotations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.605664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afff97c6-594e-43d6-8db8-eeef88bd7bc9 · outbound

This paper cites an unresolved cited work.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-07-08T14:25:02.578551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91324e0d-e8f0-412d-a7fe-eb347db68b17 · outbound

This paper cites an unresolved cited work.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-07-08T14:25:02.576440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76d4465c-6044-4018-bbbb-a60201b9a07d · outbound

This paper cites Audio set: An ontology and human-labeled dataset for audio events,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Audio set: An ontology and human-labeled dataset for audio events,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.581413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a6c7c52-28e0-4be4-a848-21150da2d042 · outbound

This paper cites Clotho: An audio cap- tioning dataset,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Clotho: An audio cap- tioning dataset,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.584082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86742938-78eb-48a8-b3e7-1e7919dab035 · outbound

This paper cites Bioa- coustics data analysis–a taxonomy, survey and open challenges,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Bioa- coustics data analysis–a taxonomy, survey and open challenges,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.586402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfbcd470-c2c3-48c7-a352-3359e151a0f1 · outbound

This paper cites Comparison of feature extraction methods for sound-based clas- sification of honey bee activity,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Comparison of feature extraction methods for sound-based clas- sification of honey bee activity,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.569233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11dccf46-5980-4235-b562-78911a1a2e60 · outbound

This paper cites Fsd50k: an open dataset of human-labeled sound events,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Fsd50k: an open dataset of human-labeled sound events,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.588697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80a216eb-d8a6-4b0f-9830-64aefc9a0899 · outbound

This paper cites ESC: Dataset for Environmental Sound Classification.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios ESC: Dataset for Environmental Sound Classification

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T14:25:02.441185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2734aaf1-d67d-4ba5-ad6d-b0e9cf107bb1 · outbound

This paper cites Few-shot class-incremental audio classification using pseudo-incrementally trained embedding learner and continually updated stochastic classifier,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Few-shot class-incremental audio classification using pseudo-incrementally trained embedding learner and continually updated stochastic classifier,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.635551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8456a3a5-f0f0-4824-ac74-45a7c63b63d3 · outbound

This paper cites Benchmark for kitchen20, a daily life dataset for audio-based human action recognition,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Benchmark for kitchen20, a daily life dataset for audio-based human action recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.629788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ee23827-6bcf-407b-b055-6bf24b741639 · outbound

This paper cites Chime-home: A dataset for sound source recognition in a do- mestic environment,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Chime-home: A dataset for sound source recognition in a do- mestic environment,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.590828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94f503e9-1f7c-43e1-93ee-716eb58af78d · outbound

This paper cites Few-shot open-set audio classification using attention information-fused prototypes,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Few-shot open-set audio classification using attention information-fused prototypes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.640595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a427e31c-9e16-4f1a-8e9f-a087aecfeccc · outbound

This paper cites Panns: Large-scale pretrained audio neural networks for audio pattern recognition.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Panns: Large-scale pretrained audio neural networks for audio pattern recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.627226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b47c1e8-2c22-42f5-b578-f37d37c19963 · outbound

This paper cites Beats: audio pre-training with acoustic tok- enizers,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Beats: audio pre-training with acoustic tok- enizers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.625199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dba62290-e85c-4a6a-a520-331581b021ea · outbound

This paper cites Atst: Audio representation learning with teacher-student transformer,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Atst: Audio representation learning with teacher-student transformer,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.632524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fee00b69-a641-4693-b4ca-dd55386cf2c1 · outbound

This paper cites Streaming audio transformers for online audio tagging,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Streaming audio transformers for online audio tagging,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.637541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3262a87-e7a2-44d5-9ce1-73687bbba080 · outbound

This paper cites Sound event detection in domestic environments with weakly labeled data and soundscape synthesis,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Sound event detection in domestic environments with weakly labeled data and soundscape synthesis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.621214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d886c08f-3882-41ef-b51f-dff1e74ebcf2 · outbound

This paper cites Domestic activities clustering from audio recordings using con- volutional capsule autoencoder network,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Domestic activities clustering from audio recordings using con- volutional capsule autoencoder network,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.600298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 236bab84-eaa0-4478-aaf7-3d20dea7307d · outbound

This paper cites A Multi-Task Learning Frame- work for Sound Event Detection using High-level Acoustic Char- acteristics of Sounds,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios A Multi-Task Learning Frame- work for Sound Event Detection using High-level Acoustic Char- acteristics of Sounds,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.616958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f81433b-52cf-4196-9722-7cb9dbdc910c · outbound

This paper cites Leverag- ing audio-tagging assisted sound event detection using weakified strong labels and frequency dynamic convolutions,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Leverag- ing audio-tagging assisted sound event detection using weakified strong labels and frequency dynamic convolutions,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.619119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d3ecf81-5a6d-4edc-b8ee-f487a7cc14cc · outbound

This paper cites Htad: A home-tasks activities dataset with wrist-accelerometer and audio features,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Htad: A home-tasks activities dataset with wrist-accelerometer and audio features,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.574371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 460eff82-7bff-49b0-9fe5-5484467d9eb2 · outbound

This paper cites The cirdo corpus: comprehensive audio/video database of domestic falls of elderly people,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios The cirdo corpus: comprehensive audio/video database of domestic falls of elderly people,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.623343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ddd7c4a-fbd4-4e53-ba27-80df4b192b72 · outbound

This paper cites Bi-modal multiperspective per- cussive (bimp) dataset for visual and audio human fall detection,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Bi-modal multiperspective per- cussive (bimp) dataset for visual and audio human fall detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.603131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf5fc140-34bf-4ee9-9de9-b93e523f416d · outbound

This paper cites Nonspeech7k dataset: Clas- sification and analysis of human non-speech sound,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Nonspeech7k dataset: Clas- sification and analysis of human non-speech sound,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.608491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46fd950a-5661-473a-bfc7-ae870cd6925e · outbound

This paper cites Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.611144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 780fd3bc-2880-4093-a9f3-601039e19f43 · outbound

This paper cites NVSpeech: An Integrated and Scalable Pipeline for Human-Like Speech Modeling with Paralinguistic Vocalizations.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios NVSpeech: An Integrated and Scalable Pipeline for Human-Like Speech Modeling with Paralinguistic Vocalizations

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-08T14:25:02.436023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6bdaafff-d859-4285-b6f6-39844be3189c · outbound

This paper cites A scalable pipeline for enabling non-verbal speech generation and understanding.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios A scalable pipeline for enabling non-verbal speech generation and understanding

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-08T14:25:02.433251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8bebbc3-730e-49bb-a052-e0b7737eba4d · outbound

This paper cites Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-08T14:25:02.438599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0f0ecfc-360c-481b-8a4d-a6f585af3a95 · outbound

This paper cites Clap learning audio concepts from natural language supervision,.

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios Clap learning audio concepts from natural language supervision,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T14:25:02.614393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 68f5d043-9226-4862-b467-bef6ec5da71e · inbound