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Paper Citation Record · LEDGER

An Explainable Gaussian Process Auto-encoder for Tabular Data

As of 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2509.00884.

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

pith.paper-citation-record.v1
2509.00884 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:13:52.804970Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

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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

60 of 60 outbound references displayed

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  • verified fuzzy36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0063f5ec-245f-4758-95ef-814eff5ceddd · outbound

This paper cites Neural additive models: Interpretable machine learning with neural nets.

An Explainable Gaussian Process Auto-encoder for Tabular Data Neural additive models: Interpretable machine learning with neural nets

Reference 1

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Observation 9a86b789-01ab-40f3-9de0-9583a2f32b35 · outbound

This paper cites The inverse classification problem.

An Explainable Gaussian Process Auto-encoder for Tabular Data The inverse classification problem

Reference 2

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Observation e8df7d92-bd14-4632-8999-34d8e04084ea · outbound

This paper cites Variational autoencoder based anomaly detection using reconstruction probability.

An Explainable Gaussian Process Auto-encoder for Tabular Data Variational autoencoder based anomaly detection using reconstruction probability

Reference 3

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Observation f9ac33d2-9e5c-408a-b5f7-6f45b4544027 · outbound

This paper cites Getting a CLUE: A Method for Explaining Uncertainty Estimates.

An Explainable Gaussian Process Auto-encoder for Tabular Data Getting a CLUE: A Method for Explaining Uncertainty Estimates

Reference 4

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Observation fea17614-45b3-48a2-bd20-8cb13b8af2c8 · outbound

This paper cites NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning.

An Explainable Gaussian Process Auto-encoder for Tabular Data NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning

Reference 5

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Observation 9dad463b-72ed-4975-9f4e-6b0f7e2cf5d9 · outbound

This paper cites Kernel methods for deep learning.

An Explainable Gaussian Process Auto-encoder for Tabular Data Kernel methods for deep learning

Reference 6

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Observation f17e24ca-dc81-478a-9136-f6f990af1026 · outbound

This paper cites Deep gaussian processes.

An Explainable Gaussian Process Auto-encoder for Tabular Data Deep gaussian processes

Reference 7

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Observation 64a89fe9-0d7c-4f6f-9876-489435d49eb4 · outbound

This paper cites Multi-Objective Counterfactual Explanations.

An Explainable Gaussian Process Auto-encoder for Tabular Data Multi-Objective Counterfactual Explanations

Reference 8

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Observation 1c2da4f5-4f55-42bb-bbbc-9c3e425e46e6 · outbound

This paper cites Explanations based on the missing: Towards contrastive explanations with pertinent negatives.

An Explainable Gaussian Process Auto-encoder for Tabular Data Explanations based on the missing: Towards contrastive explanations with pertinent negatives

Reference 9

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Observation 10f225cb-da9d-44e1-89ba-86c913020101 · outbound

This paper cites Model Agnostic Contrastive Explanations for Structured Data.

An Explainable Gaussian Process Auto-encoder for Tabular Data Model Agnostic Contrastive Explanations for Structured Data

Reference 10

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Observation ebdfd9cc-6845-4f90-b859-b905c1f7853f · outbound

This paper cites Cruds: Counterfactual recourse using disentangled subspaces.

An Explainable Gaussian Process Auto-encoder for Tabular Data Cruds: Counterfactual recourse using disentangled subspaces

Reference 11

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Observation ac842bbd-3762-4bdb-b78e-aef28fba9dbd · outbound

This paper cites Random forest explainability using counterfactual sets.

An Explainable Gaussian Process Auto-encoder for Tabular Data Random forest explainability using counterfactual sets

Reference 12

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This paper cites Gener- ative adversarial nets.

An Explainable Gaussian Process Auto-encoder for Tabular Data Gener- ative adversarial nets

Reference 13

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Observation 5f2d2460-0461-4037-b843-106419ae5c65 · outbound

This paper cites Interpretable Credit Application Predictions With Counterfactual Explanations.

An Explainable Gaussian Process Auto-encoder for Tabular Data Interpretable Credit Application Predictions With Counterfactual Explanations

Reference 14

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Observation 36018db9-c151-4959-8c6b-0473f01e6eda · outbound

This paper cites Local Rule-Based Explanations of Black Box Decision Systems.

An Explainable Gaussian Process Auto-encoder for Tabular Data Local Rule-Based Explanations of Black Box Decision Systems

Reference 15

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Observation 9f4ad382-5856-4990-934b-85ab245eca8d · outbound

This paper cites Rocoursenet: Robust training of a prediction aware recourse model.

An Explainable Gaussian Process Auto-encoder for Tabular Data Rocoursenet: Robust training of a prediction aware recourse model

Reference 16

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Observation 7f21bbf0-c38e-4bfa-8e6f-32f0074e4969 · outbound

This paper cites Counternet: End- to-end training of prediction aware counterfactual explanations.

An Explainable Gaussian Process Auto-encoder for Tabular Data Counternet: End- to-end training of prediction aware counterfactual explanations

Reference 17

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Observation b437531e-ab59-49ea-8c22-3a8add5456b6 · outbound

This paper cites Global explanations of neural networks.

An Explainable Gaussian Process Auto-encoder for Tabular Data Global explanations of neural networks

Reference 18

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Observation d6a847ab-d31a-4394-be9b-79ff35b786a0 · outbound

This paper cites Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems.

An Explainable Gaussian Process Auto-encoder for Tabular Data Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Reference 19

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Observation 5271d439-3834-41df-906d-bdfaf53bde16 · outbound

This paper cites Dace: Distribution-aware counterfactual explanation by mixed-integer linear optimization.

An Explainable Gaussian Process Auto-encoder for Tabular Data Dace: Distribution-aware counterfactual explanation by mixed-integer linear optimization

Reference 20

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Observation 59e47b5d-d999-4df7-8348-348460dbadd4 · outbound

This paper cites Model-agnostic counterfactual explanations for consequential decisions.

An Explainable Gaussian Process Auto-encoder for Tabular Data Model-agnostic counterfactual explanations for consequential decisions

Reference 21

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Observation a66ae56a-0276-4974-86d7-3dcd422c4c56 · outbound

This paper cites Algorithmic Recourse: from Counterfactual Explanations to Interventions.

An Explainable Gaussian Process Auto-encoder for Tabular Data Algorithmic Recourse: from Counterfactual Explanations to Interventions

Reference 22

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Observation c5b573f2-3bd3-4283-acc4-1e72df6e3551 · outbound

This paper cites Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI).

An Explainable Gaussian Process Auto-encoder for Tabular Data Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)

Reference 23

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Observation fe7f8d5e-91c5-42ca-9671-7b32640f6494 · outbound

This paper cites Auto-Encoding Variational Bayes.

An Explainable Gaussian Process Auto-encoder for Tabular Data Auto-Encoding Variational Bayes

Reference 24

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Observation eb1b2127-6267-475b-a4df-22ee85db4af4 · outbound

This paper cites Improved variational inference with inverse autore- gressive flow.

An Explainable Gaussian Process Auto-encoder for Tabular Data Improved variational inference with inverse autore- gressive flow

Reference 25

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An Explainable Gaussian Process Auto-encoder for Tabular Data Gram- mar variational autoencoder

Reference 26

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Observation 6fe67ce3-903c-4353-8077-772d268e73bd · outbound

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An Explainable Gaussian Process Auto-encoder for Tabular Data Generalized inverse classification

Reference 27

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Source-reported events for the cited work

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Observation 3eb2f564-5796-494e-8b68-fe8cf04a9f66 · outbound

This paper cites Comparison-based inverse classification for interpretability in machine learning.

An Explainable Gaussian Process Auto-encoder for Tabular Data Comparison-based inverse classification for interpretability in machine learning

Reference 28

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Observation 30e8038c-11fd-47df-af3b-40c7fc3c1dcc · outbound

This paper cites Supervised autoencoders: Improving generalization performance with unsupervised regularizers.

An Explainable Gaussian Process Auto-encoder for Tabular Data Supervised autoencoders: Improving generalization performance with unsupervised regularizers

Reference 29

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f49aa896-d9b3-4ea3-bd6d-e3aaf0d40d2e · outbound

This paper cites Deep Neural Networks as Gaussian Processes.

An Explainable Gaussian Process Auto-encoder for Tabular Data Deep Neural Networks as Gaussian Processes

Reference 30

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Observation 20e9b457-f528-438b-bab5-68c772471a53 · outbound

This paper cites FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles.

An Explainable Gaussian Process Auto-encoder for Tabular Data FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9fb60697-4c1d-48ea-92b2-90ff29f0f952 · outbound

This paper cites Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers.

An Explainable Gaussian Process Auto-encoder for Tabular Data Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

Reference 32

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Observation 42b481bd-6eec-41d4-92e0-4e152388c015 · outbound

This paper cites Explaining machine learning classifiers through diverse counterfactual explanations.

An Explainable Gaussian Process Auto-encoder for Tabular Data Explaining machine learning classifiers through diverse counterfactual explanations

Reference 33

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Observation 3c74ff86-cbfa-4eed-b180-361ac5bd4879 · outbound

This paper cites Bayesian learning for neural networks , volume 118.

An Explainable Gaussian Process Auto-encoder for Tabular Data Bayesian learning for neural networks , volume 118

Reference 34

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Observation 0ce2a5d7-439b-4fc2-844a-a355baf385a1 · outbound

This paper cites CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets.

An Explainable Gaussian Process Auto-encoder for Tabular Data CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets

Reference 35

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Unavailable: canonical work link unavailable.

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Observation 551706ce-bd7c-4a9e-93b2-01ae060b69a6 · outbound

This paper cites Learning model-agnostic counterfactual explanations for tabular data.

An Explainable Gaussian Process Auto-encoder for Tabular Data Learning model-agnostic counterfactual explanations for tabular data

Reference 36

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raw_fallback, observed 2026-08-05T13:13:57.048758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:51.013881Z digest=sha256:8ce369eca11793d35ca24b3bdced077e8cb8c46c0c5da65ea69e38d230497101

Observation 97bd66f0-22bf-46f3-a103-55df19230da1 · outbound

This paper cites CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms.

An Explainable Gaussian Process Auto-encoder for Tabular Data CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T13:13:51.115296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:13:51.115296Z digest=sha256:3c86e0ed082a818a543974e25f28760db7f9be749751dfc0c9fbe9587171405f

Observation bce29226-1d87-4127-9f52-5675e0640d8f · outbound

This paper cites Causality.

An Explainable Gaussian Process Auto-encoder for Tabular Data Causality

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T13:13:51.206674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:13:51.206674Z digest=sha256:6483eddbe10312d8c1e69060e13c10f2de41c2045db4e7aba0ff4290afb45e8e

Observation 5fb918b0-329c-42a9-890f-b60e08d02fea · outbound

This paper cites Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data.

An Explainable Gaussian Process Auto-encoder for Tabular Data Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T13:13:51.296400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:13:51.296400Z digest=sha256:0861d1e3783c741d3a46f248f1cc9ca9ce953c464bb50b7d190930376ddad2ba

Observation db6a72fc-c338-4da8-8878-74b5ae60148e · outbound

This paper cites Face: feasible and actionable counterfactual explanations.

An Explainable Gaussian Process Auto-encoder for Tabular Data Face: feasible and actionable counterfactual explanations

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:56.883660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:51.389898Z digest=sha256:35f8257078d8926d8b2a5c0fa340985a2486f384276e6478dc11fc3dc92d97ba

Observation ee2f6a15-b367-48ab-a6a2-e8ee1b6ac50b · outbound

This paper cites Variational Autoencoder for Deep Learning of Images, Labels and Captions.

An Explainable Gaussian Process Auto-encoder for Tabular Data Variational Autoencoder for Deep Learning of Images, Labels and Captions

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:13:53.430419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:51.475343Z digest=sha256:bdc6f1c8f56e5f7e74da50107317978dad315f17bda8b0e3e21089bf4547125b

Observation 279667f4-18a7-4fe9-9beb-460f694620e1 · outbound

This paper cites Neural basis models for interpretability.

An Explainable Gaussian Process Auto-encoder for Tabular Data Neural basis models for interpretability

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:56.716588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:51.560449Z digest=sha256:7de47d7a5c9db4dbc76a6bfc0d97615f80b73b868e295125fcfebd538ed1b58c

Observation fe4ec005-6936-4f3f-8bab-f4c7cf364cec · outbound

This paper cites Random features for large-scale kernel machines.

An Explainable Gaussian Process Auto-encoder for Tabular Data Random features for large-scale kernel machines

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:56.548217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:51.643353Z digest=sha256:d3e4fb14cb61718894fb3e9b9bebc638d2cfcd692a5ed15b25f602b4bbc21b5e

Observation dd61c379-25c5-448a-9aa2-5a5b9154622a · outbound

This paper cites Generating Counterfactual and Contrastive Explanations using SHAP.

An Explainable Gaussian Process Auto-encoder for Tabular Data Generating Counterfactual and Contrastive Explanations using SHAP

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:13:53.254636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:51.739220Z digest=sha256:a0b2605e76c8e7ce19cf7792dba7550d0862cc4b1a783a0e24fc026ecf1c437c

Observation efa92703-3e64-49b5-baaa-c62c051b2efd · outbound

This paper cites ”why should i trust you?” explaining the predictions of any classifier.

An Explainable Gaussian Process Auto-encoder for Tabular Data ”why should i trust you?” explaining the predictions of any classifier

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:56.374139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:51.816613Z digest=sha256:988435667b8f985c9baf829a34289f861c399e6a86c247ba07279050cd2598c0

Observation afec15a4-764b-4077-93e0-c35e7822313b · outbound

This paper cites Efficient search for diverse coherent explanations.

An Explainable Gaussian Process Auto-encoder for Tabular Data Efficient search for diverse coherent explanations

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:56.166741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:51.882382Z digest=sha256:f0fa9b0a250ca5a614d2c1c8f2344fe1ad4b9662aa425212e9301a902abc5f2a

Observation 37ebc941-bc3b-4334-889e-9c680c1d4963 · outbound

This paper cites Explaingan: Model explanation via decision boundary crossing transformations.

An Explainable Gaussian Process Auto-encoder for Tabular Data Explaingan: Model explanation via decision boundary crossing transformations

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:56.023598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:51.955211Z digest=sha256:f3d9d2c22ca9db8507a3f11dde34066b3fe60b4534f24fc9f7eeb83427489adb

Observation 9292681e-9df9-40a3-9c31-f4601bf07c8e · outbound

This paper cites CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models.

An Explainable Gaussian Process Auto-encoder for Tabular Data CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T13:13:52.024935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:13:52.024935Z digest=sha256:a3bdf9408f37dbbba05f6cb749c4eb2a347d85a3f773d2614db9e901460a9989

Observation df1901b7-4b8f-47dc-983b-d33a5e804191 · outbound

This paper cites Learning important features through propagating activation differences.

An Explainable Gaussian Process Auto-encoder for Tabular Data Learning important features through propagating activation differences

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:55.874309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.066324Z digest=sha256:15e1e5e13403184025f3d8776a17d29ca3b58a5e2cccb4c55954170ebcd4d46d

Observation f0d58995-9615-40b7-9ad8-7d6942fbeb34 · outbound

This paper cites Axiomatic attribution for deep networks.

An Explainable Gaussian Process Auto-encoder for Tabular Data Axiomatic attribution for deep networks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:55.731585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.135576Z digest=sha256:f8fbfb3ca1e518376bd7105fb6e1be27a089988065805c74b9f27881e97e68b9

Observation 70812764-f576-41c8-91a5-b9d0c9b91196 · outbound

This paper cites Variational learning of inducing variables in sparse gaussian processes.

An Explainable Gaussian Process Auto-encoder for Tabular Data Variational learning of inducing variables in sparse gaussian processes

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:55.578940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.207026Z digest=sha256:d51c684acafbb08edf3ce9d15947f94a38de28f7aa9cbef30c3273787fd61405

Observation 22da850a-875f-4951-a96c-7c592dcccf28 · outbound

This paper cites Interpretable predictions of tree-based ensembles via actionable feature tweaking.

An Explainable Gaussian Process Auto-encoder for Tabular Data Interpretable predictions of tree-based ensembles via actionable feature tweaking

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:55.428669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.265162Z digest=sha256:27fec59a9723a83811519ead4e56c589f74a6ee3e1eb30cb75308ded24e88473

Observation b812cad0-614f-4ba6-a753-d0a960e45ae5 · outbound

This paper cites Actionable recourse in linear classification.

An Explainable Gaussian Process Auto-encoder for Tabular Data Actionable recourse in linear classification

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:55.277025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.324784Z digest=sha256:6842d5df7f689a3b2e9b551032b2e832736c174f585424277f7f7fa0a12d83ab

Observation 6d54236d-ca3c-4ca2-94ae-469dd0615d76 · outbound

This paper cites Interpretable Counterfactual Explanations Guided by Prototypes.

An Explainable Gaussian Process Auto-encoder for Tabular Data Interpretable Counterfactual Explanations Guided by Prototypes

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:13:53.111991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.383137Z digest=sha256:ca7469b3c66c9afb8caf72cf5677b10147f4665d3e3436357bce45c8f237e3c1

Observation 50c86c2b-93e7-4a96-9f70-06dd035119f2 · outbound

This paper cites Interpretable counterfactual explanations guided by prototypes.

An Explainable Gaussian Process Auto-encoder for Tabular Data Interpretable counterfactual explanations guided by prototypes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:55.105073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.447677Z digest=sha256:ed19b89e887cc4b0a49a2f4bfe858c42a6e4f45f9343c602261d6a73ec1d721f

Observation b8b10f60-b074-4256-a2bd-6eab4b944fd9 · outbound

This paper cites Counterfactual explanations without opening the black box: Automated decisions and the gdpr.

An Explainable Gaussian Process Auto-encoder for Tabular Data Counterfactual explanations without opening the black box: Automated decisions and the gdpr

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:54.926320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.508281Z digest=sha256:42a48214e27a55e22eb267c69e7eada2882416a502971cf9144aac7361afcc75

Observation 42e0487e-65f9-4bd4-9ecf-c46e48025334 · outbound

This paper cites Measurable Counterfactual Local Explanations for Any Classifier.

An Explainable Gaussian Process Auto-encoder for Tabular Data Measurable Counterfactual Local Explanations for Any Classifier

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:13:52.961364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.580574Z digest=sha256:40b8e4edfdfb5d4b69f9937500e8304e1105fc27bda501a2b8d071371b4491fe

Observation e52d673a-5a75-4219-ba51-f2a72832ce2b · outbound

This paper cites Deep bayesian nonparametric tracking.

An Explainable Gaussian Process Auto-encoder for Tabular Data Deep bayesian nonparametric tracking

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:54.754868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.654134Z digest=sha256:8056eba6a5d921eef70a267b3c6753989e2e08d43b3719a542536ad0ca9d6060

Observation b02cb11d-4e86-41a1-b8b8-83064572e9e1 · outbound

This paper cites An interpretable deep clas- sifier for counterfactual generation.

An Explainable Gaussian Process Auto-encoder for Tabular Data An interpretable deep clas- sifier for counterfactual generation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:54.590309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.731638Z digest=sha256:cc153c6224b7c286d4f151cfdd13f34ef94060502d6376b53184a3daafd31e7a

Observation a8226b3e-79d8-4b3d-8f05-932df68f6fae · outbound

This paper cites Gaussian process neural additive models.

An Explainable Gaussian Process Auto-encoder for Tabular Data Gaussian process neural additive models

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:13:54.400952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:13:52.804970Z digest=sha256:9f299d623867bc98a08001ff6b302447c82e53aba42ab4a86de12973c26cb0ac

Pith citing papers

No inbound Pith citation observations are available.