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Paper Citation Record · LEDGER

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

As of 6 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2604.23354.

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

pith.paper-citation-record.v1
2604.23354 v3

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-04T14:53:10.815774Z

measured 62 of 62 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T07:34:22.838956Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T11:49:50.908878Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact7
  • verified fuzzy52
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6eba7712-9e1d-43a5-addd-8b94efce2738 · outbound

This paper cites Deep residual learning for image recognition.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Deep residual learning for image recognition

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.698959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:d0e861c7d4ea75220e4bea70a68fae47460528bd3bf395e33648c09a1fb464c6

Observation 0f80c9f4-4a84-4566-9c74-a8301acc1c47 · outbound

This paper cites Deep learning.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Deep learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.696749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:875ec1abf21cb05a0b2fa86e938ffebdd4079875599dcda52cbb354d62e96f6a

Observation dd1a70fb-1aa1-44ba-8d65-c9fd398b8172 · outbound

This paper cites DARPA’s explainable artificial intelligence (XAI) program.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable DARPA’s explainable artificial intelligence (XAI) program

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.697193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:9d81626a7e3c5677819a26b7d34e38e730b07e7e03122ae923b9b1be102b839e

Observation 5530f2b5-f701-49e1-acc8-3fc3da3e90eb · outbound

This paper cites Explain- able AI: A brief survey on history, research areas, approaches and challenges.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Explain- able AI: A brief survey on history, research areas, approaches and challenges

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.703439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:09c31beb16a7e4a7564c8a2e8189e3123fd723aba668fafade4ff8f483ba41ec

Observation 3c36e13c-8d8d-4b4f-82db-9d00a5262c37 · outbound

This paper cites Explainable AI: A review of machine learning interpretability methods.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Explainable AI: A review of machine learning interpretability methods

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.759399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:841d88e1d05e3e71673c694afc890fbe4073fd122ba832328aa9abbd41227251

Observation 05c26ce6-2cf7-4aed-8f05-d24f36e2140e · outbound

This paper cites An overview of the supervised machine learning methods.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable An overview of the supervised machine learning methods

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.703908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:b2b37816daf112b931a28b792583d1f40380d7e63aaeac4d4c16e73b8a0d1ed5

Observation 8dd41496-81e5-4805-880b-50875010c03d · outbound

This paper cites How humans learn and represent networks.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable How humans learn and represent networks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.719054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:faf626103173fc1a0d42e7f4aa517fc2567955517dc16c7cbd404917efbf40b3

Observation b984bd0b-f023-424a-a7de-215c12bf919c · outbound

This paper cites Selective attention.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Selective attention

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.683648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:fabdff9cb7ffa439bf4b40e8eb251981ab1f36c3b2f33a94356ad0cb15faf28d

Observation c7b18626-542e-4900-8ff7-2666e7d3520b · outbound

This paper cites Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:59:54.732806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:4df96ad0918bd65b4a8e083f41bf276b3f8b73f20d2b922b2f291e2bee4eb58a

Observation 2817d709-e927-4ecf-9963-618a542f39e3 · outbound

This paper cites VoxCeleb: a large-scale speaker identification dataset.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable VoxCeleb: a large-scale speaker identification dataset

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:59:54.749493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:c359f663ad6671faca3d0a7684091aa3b98195688493959141e927aac1c1d83e

Observation 7bca6d9a-4869-4be9-8fd0-d407d90d552e · outbound

This paper cites In defence of metric learning for speaker recognition.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable In defence of metric learning for speaker recognition

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:59:54.744176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:90e5541efbabb09b68a6190d022ab7dfc7f527e475e0899a005c80ced2598d76

Observation aaf2ae40-2f14-466d-a53d-4cceabb2a33f · outbound

This paper cites Efficient integrated features based on pre-trained models for speaker verification.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Efficient integrated features based on pre-trained models for speaker verification

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.689264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:6a76df7a5b21e63ba711fc4dbcdb8291a17deb16c5da47e90b52c4398c27ec3b

Observation b58734ad-a890-4fcf-8990-0fd757604e70 · outbound

This paper cites Flat clustering.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Flat clustering

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.687533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:c0357028f144eeb59ae346b5f2bef59a3959628050a6b0211e2f4bb06e1ebb28

Observation c0391ab6-2d9e-411d-805e-f82ec7d88e27 · outbound

This paper cites Some methods for classification and analysis of multivariate observations.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Some methods for classification and analysis of multivariate observations

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.761449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:4696fa5b371bbd76fb4408866a68c2d0ea45c77afc15325f34fadb7a7fa8f085

Observation 88e1c5a7-ecaa-4980-86ca-9005de6fd82b · outbound

This paper cites Investigating deep neural network internal clustering and generalization properties.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Investigating deep neural network internal clustering and generalization properties

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.673725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:9687010f9f0176f2eb334246a8ab62d2bbbd3c24e164c1d8624b16915319a789

Observation 7860d636-1814-437f-a47e-3c57aea5f948 · outbound

This paper cites Intraclass clustering: An implicit learning ability that regularizes DNNs.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Intraclass clustering: An implicit learning ability that regularizes DNNs

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.675271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:8173113c6a7f759d814ac96d64115c6bf9d59191f69e3aa7033c10ac6926ea7b

Observation 30b06f46-b696-4f58-9118-52476586ec35 · outbound

This paper cites Deep clustering for unsupervised learning of visual features.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Deep clustering for unsupervised learning of visual features

Reference 17

Resolution
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raw_fallback, observed 2026-07-04T22:00:09.677287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:3d1e13169c09341564710d4d0c1149e40630cc7b979ed960ed8e53a327d22ce5

Observation ccaeee0f-1396-48a0-8230-1c8f33535cad · outbound

This paper cites The tree of diffusion life: Evolutionary embeddings to understand the generation process of diffusion models.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable The tree of diffusion life: Evolutionary embeddings to understand the generation process of diffusion models

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.677499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:2a8ecb9ff0a94d1e4b74c49a54ed6ee56c54cfc2b17568235aaccbadaa8c0f6f

Observation ffeb7e50-f20a-448d-be2b-2e0d33ae77d1 · outbound

This paper cites Frame- level phoneme-invariant speaker embedding for text-independent speaker recognition on extremely short utterances,.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Frame- level phoneme-invariant speaker embedding for text-independent speaker recognition on extremely short utterances,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.701645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:f88ef8f5adb8c0171c46b3979faefa724ea3666b28efa4efe4245e2e37e0f2ad

Observation 75b7cd9e-1d06-482d-8257-5f962e2d48e9 · outbound

This paper cites Visualizing data using t-SNE.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Visualizing data using t-SNE

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.768878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:b93f4acdf4d2ac9b4bdaf740c058fb8ab7cb338fe731204768147e76745d694f

Observation 94fa3c1b-f02e-4169-bf5e-60caaba37ef0 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:59:54.738047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:14f48fa31f09a595d9d79c82aa94b16e887e84762f7e8b2dd42648aef7ed8650

Observation 058c5b9a-dfea-4625-81ac-7f82205f6dd7 · outbound

This paper cites Comprehensive survey on hierarchical clustering algorithms and the recent developments.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Comprehensive survey on hierarchical clustering algorithms and the recent developments

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.667100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:6eb3ece6f06b6a9595f5931d5de3919685b5773f7d93305aeaf99d27c26a3dbe

Observation d5b1f0e0-271e-4df6-a650-cafa97c3dba2 · outbound

This paper cites Minimum spanning trees and single linkage cluster analysis.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Minimum spanning trees and single linkage cluster analysis

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.782045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:7ee5dcafcf6e1415f92819ae7472e3a6693682ae906d0f62af305f08ea320d44

Observation c6adeded-6e60-4cdb-85ad-ef78e64e5cc2 · outbound

This paper cites SLINK: an optimally efficient algorithm for the single-link cluster method.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable SLINK: an optimally efficient algorithm for the single-link cluster method

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.659665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:768afd8d201ee8e42c74b25dd7a6f81b7bab683e1ad1156a3da49bfc271f06a0

Observation f226863f-1df7-4ba1-a806-0051c30bed8e · outbound

This paper cites Density-based clustering based on hierarchical density estimates.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Density-based clustering based on hierarchical density estimates

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.778200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:7edaef2e87f601bf6c2c7bdce0790767f8f703d94091b2b254f7582b0d7992cb

Observation de4d83ee-9eb7-4c79-8931-5dc0be1490e5 · outbound

This paper cites V-measure: A conditional entropy- based external cluster evaluation measure.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable V-measure: A conditional entropy- based external cluster evaluation measure

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.775768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:76e906f7df62718828cc574c38f7a9f136d255e73c713faa3999cd7bbc09b260

Observation f7594eb3-cb8d-4296-9458-3d812825bf6a · outbound

This paper cites A statistical method for evaluating systematic relationships.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable A statistical method for evaluating systematic relationships

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.685586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:2a5dea5d4558975b9573ab33499ebe3b811e688434da38ade1bd5259e92bc8cc

Observation fb22d696-0e63-4d77-af88-962604874cb6 · outbound

This paper cites Morzycki,Modification.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Morzycki,Modification

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.669015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:3fc4ee6a8a263fe5a1bc305fdd8b337b4b01483a825667d95e01a85d8609a7b7

Observation daebd135-c6ec-4763-891d-ed5a7914e6c7 · outbound

This paper cites V on Liebig’s law of the minimum and plankton ecology (1899–1991).

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable V on Liebig’s law of the minimum and plankton ecology (1899–1991)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.673253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:f07c028c0a87df45664c50ce9b1acfcc11ce417be42e6106902d1aabf26e1023

Observation 949eee1e-d9b9-4e18-94c2-205dade94e4b · outbound

This paper cites A review of the f-measure: Its history, properties, criticism, and alternatives.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable A review of the f-measure: Its history, properties, criticism, and alternatives

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.691164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:42ca25f0db85752d262f4fdbeb8e6fdac92408dbbaecc0009a1a02b977423bd2

Observation 32e07047-45b3-471f-9b2b-8e74b5069913 · outbound

This paper cites A unified approach to interpreting model predictions.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable A unified approach to interpreting model predictions

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.645344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:9612df52f9cdb20be8f74afa55fe156781c871fc876a7c2854e9c08e3e19937d

Observation e6f277f0-a3f8-4b8b-b1e4-87a581d4b8aa · outbound

This paper cites ‘Why should i trust you?’ explaining the predictions of any classifier.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable ‘Why should i trust you?’ explaining the predictions of any classifier

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.649716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:009d174c081a340957ceb21609128dd5fe69ceeeaa0ba33a6b1796c1fa9f3224

Observation 0832b34f-d90e-4205-a44a-21f489ae9dbb · outbound

This paper cites Grad-CAM: Why did you say that?.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Grad-CAM: Why did you say that?

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:59:54.760527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:3e873428005fc1b9acff723ffec384c51f33a3c9389d6b2d70cf78b902e9c031

Observation 1bf4900d-8b2e-40b6-bc2d-3de55b6d0602 · outbound

This paper cites Learning deep features for discriminative localization.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Learning deep features for discriminative localization

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.652187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:2f3efe918413c4c18adbb389944f626ccf9d026c913b968772eb97145d7b5dbb

Observation 3d2ddcf0-7c78-454f-9c41-fa40ed3e7757 · outbound

This paper cites RISE: Randomized Input Sampling for Explanation of Black-box Models.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:59:54.755058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:9f7f0bb90f9a495168e79d45e496a3f9dbaa5b335d4ed9c666608576339e887c

Observation 08da7231-b2c5-4aed-9802-014036e55005 · outbound

This paper cites Latent space cartography: Visual analysis of vector space embeddings.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Latent space cartography: Visual analysis of vector space embeddings

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.656678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:8e538fb5f8ab1ef5fb925237bf33abe8628c32ba0a6c8e48db51d3d48264f840

Observation 28156c06-1533-4ecc-b9f0-63b54c9fc498 · outbound

This paper cites Closed-form factorization of latent semantics in GANs.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Closed-form factorization of latent semantics in GANs

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.647749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:4e5477bd630d6d8de16639891c6b3738cf3ec78535d2c1042c447fe8e542f9aa

Observation cef7fc32-6912-4844-8337-a1c21d3845b1 · outbound

This paper cites L2m- gan: Learning to manipulate latent space semantics for facial attribute editing.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable L2m- gan: Learning to manipulate latent space semantics for facial attribute editing

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.671861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:3029b62963538da9f4a3be6fd91af39d09a927611e49f8f7feddee1de81dafc1

Observation a5e5fe29-fe78-428c-9690-171faf3730b1 · outbound

This paper cites Ganalyze: Toward visual definitions of cognitive image properties.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Ganalyze: Toward visual definitions of cognitive image properties

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.738643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:eeba947fe7f688866f70c29945923bd455c3ccb1138df28241fb8286fd5507fe

Observation 69b70585-bec0-46f7-ae03-debca5fb2335 · outbound

This paper cites Toward a quantitative survey of dimension reduction techniques.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Toward a quantitative survey of dimension reduction techniques

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.783873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:3c686a3e8326da5752bf6e6481401f33c2325b10fd6feea4df7d705a026938c6

Observation 917b34f7-502b-4bab-9a05-6f79f79102f3 · outbound

This paper cites Algorithms for hierarchical clustering: an overview, ii.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Algorithms for hierarchical clustering: an overview, ii

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.759106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:09e78dca2c64493b918a53aed1a927d1c83772547ee1bbd989a3ccb9a6f15221

Observation a38679de-f5f9-4ad4-8031-1d3aa3f96948 · outbound

This paper cites Objective-based hierarchical clustering of deep embedding vectors.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Objective-based hierarchical clustering of deep embedding vectors

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.764187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:6a5843ef6c8c3fca13eb90dbf9960744d1b53025e003ad5e32bacdf1b4a7fbce

Observation 6f15f348-8b5c-4111-90de-c2236cf16cd5 · outbound

This paper cites Speaker diarization using deep neural network embeddings.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Speaker diarization using deep neural network embeddings

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.766717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:09fd488aa5fbe3e12bce983d9cdf7377397459823c16df8f834e44c376b7031d

Observation e8c6d2dd-5018-46c5-81c1-12428da3f835 · outbound

This paper cites Supervised hierarchical clustering using graph neural networks for speaker diarization.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Supervised hierarchical clustering using graph neural networks for speaker diarization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.780322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:2a82482d86dfc5577d6a31b7a6a3d17e7c8e8bda6094bb5f90d41053c1d351e1

Observation 24b50c22-80eb-4532-92a2-7c5fb5152151 · outbound

This paper cites Speaker identification and clustering using convolutional neural networks,.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Speaker identification and clustering using convolutional neural networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.730614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:bb9745144b2e31f2c1a4bb1f51d17a933f07f00cc0a2bcdbf2fedf2418ebf34b

Observation 6105d1cb-d65a-46a3-bb10-3a37b03b56c5 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.728650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:e3e61164ddf74dc5de99b0297f13e887c60045672e2fd0d4e65269c86a5b5396

Observation 098a3d2a-0f49-4b08-85a6-45a5166640ca · outbound

This paper cites A comprehensive survey of clustering algorithms.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable A comprehensive survey of clustering algorithms

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.733063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:f0e3a95aca6fffd855f4af7403c70343f022015f21320e8c6984130091e38c48

Observation 3112bf16-d003-4381-98b5-060d69946ccd · outbound

This paper cites Comprehensive cross-hierarchy cluster agreement evaluation.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Comprehensive cross-hierarchy cluster agreement evaluation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.722062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:c6127667628169d11142b397151de622d16da01d93f016d2bae496626370cfef

Observation 84816fb9-736f-4dee-a768-eb0e3560f3d8 · outbound

This paper cites Hierarchical clustering algorithms for document datasets.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Hierarchical clustering algorithms for document datasets

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.724281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:1ac33c3f56b0ea5e74ae07a3bcb6b1e2aa4ae506997553ab8fdca7f326a3c856

Observation 24af353f-8221-46eb-a336-163732935244 · outbound

This paper cites an unresolved cited work.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-07-04T22:00:09.725831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:31318c16b6a9a249faf5a34336b0e1a8e9007a3ebe53d43e5fe91a7cf44f2f2f

Observation 8e47aaf1-53b8-4653-b047-ae90d9e7fb27 · outbound

This paper cites Shortest connection networks and some generalizations.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Shortest connection networks and some generalizations

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.735614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:8a2e6e222df484ac7bf72a113340838418c55f23ffd61cb41e6bc7c6c29373a3

Observation e3a1b018-bd8d-467c-98cc-b12ed1b1f6f9 · outbound

This paper cites On the shortest spanning subtree of a graph and the traveling salesman problem.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable On the shortest spanning subtree of a graph and the traveling salesman problem

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.771094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:b32c821fd439f235a893cbd97f4ff9d30e783781edcc5ca195bdcd279d0f8660

Observation 65f861cf-8fa9-413b-8f44-b9f4a88b6678 · outbound

This paper cites HDBSCAN: Hierarchical density based clustering.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable HDBSCAN: Hierarchical density based clustering

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.715981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:8b041e57cd1c3ce6cbe710ca45060a134a185e16fff49f0aa6c56cdbf0fefa75

Observation d996fd17-411c-48c9-9f5c-ad3ca6c3f3d7 · outbound

This paper cites VoxCeleb2: Deep Speaker Recognition.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable VoxCeleb2: Deep Speaker Recognition

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:59:54.727989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:542606d8a069343b4185d1730ae3179a463c457a01503b7ea465575db2c65a3b

Observation d45a7195-bce5-48ad-ac08-56d2fd82f1c5 · outbound

This paper cites Prototypical networks for few-shot learning.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Prototypical networks for few-shot learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.711305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:3cb95f5f964266700dfdecae2c10cda9334403ad47cb3e741a6fea22280331cc

Observation a151efb7-0451-477c-9766-1b11f605ce3e · outbound

This paper cites an unresolved cited work.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-07-04T22:00:09.713036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:4567efd8439b74ce33e1a62a5c2289891840da6ac7b2da9315d526a92330bfac

Observation 8ab21257-7a6d-4ca4-bd40-67784287df76 · outbound

This paper cites Social psychology as history.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Social psychology as history

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.720148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:e73474e58e859ee093cb074efccb9d51874fd7eed4d32d139e0de68b8c541b7b

Observation 34420ec9-90f6-4e43-bec9-560aac944d1c · outbound

This paper cites Paralanguage: A first approximation.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Paralanguage: A first approximation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.773394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:62cbb2166fa23e5bb90d4afb4c9ad930751cbb5ccf6f94f4b4d24f7fcbe5b39e

Observation 7f55e66e-f774-4369-9fb6-b7143f389a42 · outbound

This paper cites Speech pathology; a dynamic neurological treatment of normal speech and speech deviations.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Speech pathology; a dynamic neurological treatment of normal speech and speech deviations

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.709057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:090971d966725843448ea465bac60748a9c4888374722cb51caba0f75d1d9c3e

Observation d8bdc750-6831-44f0-a244-035fa24442e9 · outbound

This paper cites A system for describing vocal timbre in popular song.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable A system for describing vocal timbre in popular song

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.706258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:1044b8523b85ef974324d810c8f885f8218bc2db20141d6fc26960b75e6cf346

Observation 26756575-b27c-4c23-ab86-a24b4a039000 · outbound

This paper cites Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy,.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T22:00:09.683454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-04T14:53:10.815774Z digest=sha256:cfaecdb5cff2ee64b74003493eb6ff8ea101459f5e8942dadf6ed6be1d36aa4b

Pith citing papers

Observation 1f5ebb80-6af0-4e0a-9792-d8354eb3e3ef · inbound

Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation cites this paper.

Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-04T11:49:50.910088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T07:34:22.838956Z digest=sha256:f38fc4fdb4633b905b606223dec1ff68bcdb34ac53119c3935aa1ffac70aaaa2