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Paper Citation Record · LEDGER

Self-supervised Attention Model for Weakly Labeled Audio Event Classification

As of 17 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.02876.

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

pith.paper-citation-record.v1
1908.02876 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:37:42.814958Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

21 of 21 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e106f63-a0a2-484d-b6e7-c0ee05a55eaf · outbound

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

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Audio set: An ontology and human-labeled dataset for audio events,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.213799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7e4705b5-39e8-497c-b12e-e479241f85b3 · outbound

This paper cites Acoustic Scene Classification Using Deep Neural Network and Frame- Concatenated Acoustic Feature,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Acoustic Scene Classification Using Deep Neural Network and Frame- Concatenated Acoustic Feature,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.201860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e1b87c4b-bf63-44a0-bdf3-a4ec0b9336c0 · outbound

This paper cites Feature Analysis and Selection for Acoustic Event Detection,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Feature Analysis and Selection for Acoustic Event Detection,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.189643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1138f4cc-3410-4b3f-908f-ea7b40cbbd31 · outbound

This paper cites Cnn architectures for large-scale audio classification,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Cnn architectures for large-scale audio classification,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.174111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f853b0bf-d0ef-4701-bb83-327144535d6a · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Imagenet classification with deep convolutional neural networks,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.159827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.732638Z digest=sha256:8849c84638c9a40825a2cbabd45d86b8a2057120ee855f068172a5d783ecdc9d

Observation 23c561e2-1958-4318-a6cf-5383827b2f90 · outbound

This paper cites Audio event and scene recognition: A unified approach using strongly and weakly labeled data,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Audio event and scene recognition: A unified approach using strongly and weakly labeled data,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.145629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.738311Z digest=sha256:286da1f6d3edee7a652aaae98c9b2e010b21600dfbabf3cc954349a1d7571eb6

Observation 55290dac-d6fa-41b4-9304-6ea1070f6cdf · outbound

This paper cites Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:37:42.929804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.745189Z digest=sha256:2fd302ac120a816a2483e43dce09c1e3c3b6f3e619e6f876d56ed98b446198e8

Observation 93faa945-da6a-49f9-84cd-797bf2a851cf · outbound

This paper cites A first attempt at polyphonic sound event detection using connectionist temporal classification,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification A first attempt at polyphonic sound event detection using connectionist temporal classification,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.129487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.750490Z digest=sha256:dcbf87921c2497e1920c5524ccbdae28b1eb8fe16893e80ceb91222cab216ec3

Observation 8b605e05-dfce-477f-ad2b-000af15cb802 · outbound

This paper cites Convolutional recurrent neural networks for polyphonic sound event detection,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Convolutional recurrent neural networks for polyphonic sound event detection,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.112147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.755211Z digest=sha256:14155854eb960b79b4eec3af67c3352de359d244de299dc13cf7c29d5ad5931d

Observation e2cc85ff-8739-4f9a-a09e-fc87358b1dee · outbound

This paper cites Adaptive pooling operators for weakly labeled sound event detection,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Adaptive pooling operators for weakly labeled sound event detection,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.093534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.760214Z digest=sha256:b23b9d9328fedd2faedb8ec0802940920aa3de6a6456fc18d7d3d7aa4d9be4d1

Observation b384b59c-7ce3-4aeb-b8c3-7e4bfee3e9d0 · outbound

This paper cites Class- aware self-attention for audio event recognition,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Class- aware self-attention for audio event recognition,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.073598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 01b48b24-0b0e-455f-abee-564b5b12b4a1 · outbound

This paper cites Learning to recognize transient sound events using attentional supervision,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Learning to recognize transient sound events using attentional supervision,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.055853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.768979Z digest=sha256:ca2bef06591bf1c0d809d212bab9c12f659edb598b91195dd85b468345c2c5a5

Observation 9cf46a2a-d7f9-4163-9ae7-093b7b668eb1 · outbound

This paper cites Audio Set classification with attention model: A probabilistic perspective.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Audio Set classification with attention model: A probabilistic perspective

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:37:42.903381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 73fa2ebb-87cb-451a-8374-762e066050e2 · outbound

This paper cites Tell me where to look: Guided attention inference network,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Tell me where to look: Guided attention inference network,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.039703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.778968Z digest=sha256:ef1a65d05ae2a4ecef9477eca76b728d143d6695f379bcafdac88f9ba494b1ec

Observation 147cac3e-183e-4eab-8da5-77d8a2ce7256 · outbound

This paper cites Knowledge transfer from weakly labeled audio using convolutional neural network for sound events and scenes,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Knowledge transfer from weakly labeled audio using convolutional neural network for sound events and scenes,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:37:43.018982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.783905Z digest=sha256:94526f3bd87375dcd07754626bddddbc9fef354962d0372e03fb5e1b1ad83b7c

Observation 1fc5106e-8f1d-47e3-b0ed-bcb59874a62f · outbound

This paper cites DCASE 2017 Challenge setup: Tasks, datasets and baseline system,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification DCASE 2017 Challenge setup: Tasks, datasets and baseline system,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:37:42.999424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.788020Z digest=sha256:c0fa42fcfdce24f413326d1825c71dcc301108191a8a54cc75c52ee9c24e4f23

Observation b58cab08-07a3-455c-8b26-4fbe78f35a08 · outbound

This paper cites Retrieval evaluation with in- complete information,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Retrieval evaluation with in- complete information,

Reference 17

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raw_fallback, observed 2026-08-14T14:37:42.982694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.793729Z digest=sha256:5362ead1037b7fa87cf436cae14245b821bb6f19051c29fa625b76cf8c6d9c07

Observation b56039af-7dec-43fe-bd7f-bfb3b324746c · outbound

This paper cites YouTube-8M: A Large-Scale Video Classification Benchmark.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification YouTube-8M: A Large-Scale Video Classification Benchmark

Reference 18

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unresolved
no resolver link, observed 2026-08-14T14:37:42.798659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c350f70d-93d9-4b09-a74c-ec075c3b8ce4 · outbound

This paper cites A Closer Look at Weak Label Learning for Audio Events.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification A Closer Look at Weak Label Learning for Audio Events

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T14:37:42.805240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:37:42.805240Z digest=sha256:dcfb3f3085ba0adae6b17b0ac7b5c489887a7f26b1f46b7e95affbb881784182

Observation 5796a59c-6341-4441-8113-fbd9fcaaaa6a · outbound

This paper cites Surrey-CVSSP system for DCASE2017 challenge task4,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Surrey-CVSSP system for DCASE2017 challenge task4,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:37:42.967032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:37:42.810257Z digest=sha256:f41dfd145cd732178b952c8b8ad42c82147fc982c6787d6cbb0327967608b339

Observation cc549a27-93b4-4644-ad6f-0c00f87441d3 · outbound

This paper cites Attention and localization based on a deep convolutional recurrent model for weakly supervised audio tagging,.

Self-supervised Attention Model for Weakly Labeled Audio Event Classification Attention and localization based on a deep convolutional recurrent model for weakly supervised audio tagging,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:37:42.946022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.