Paper Citation Record · LEDGER

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2509.00693.

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

pith.paper-citation-record.v1
2509.00693 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:26:38.468860Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:01:00.924735Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:03:26.029149Z

Reference resolution

41 of 41 outbound references displayed

verified exact8
verified fuzzy26
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a78018a0-4221-4dc9-a581-11a68afb7350 · outbound

This paper cites Beyond the hipaa privacy rule: enhancing privacy, improving health through research,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Beyond the hipaa privacy rule: enhancing privacy, improving health through research,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:41.262635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bcb4d843-6897-4f5a-b145-e8cecdf8609e · outbound

This paper cites The effect of the gdpr on privacy policies: Recent progress and future promise,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming The effect of the gdpr on privacy policies: Recent progress and future promise,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:41.207765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2f61181b-d8a7-4814-8bfc-75a5a61992af · outbound

This paper cites Feature construction and selection using genetic programming and a genetic algorithm,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Feature construction and selection using genetic programming and a genetic algorithm,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:41.166725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4fa014e4-c02b-409a-82f5-423c1b564e49 · outbound

This paper cites Cognito: Automated feature engineering for supervised learning,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Cognito: Automated feature engineering for supervised learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:41.109205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ff901200-4375-4b6c-8ae8-65a4bebe03bc · outbound

This paper cites Automatic data acquisition for deep learning,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Automatic data acquisition for deep learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:41.084352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2df629b5-d4d9-4d06-a3e7-3a9920d138fa · outbound

This paper cites A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:26:39.782018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60739652-9563-4a69-a18f-0bebd650ebf6 · outbound

This paper cites Automating feature subspace exploration via multi-agent reinforcement learning,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Automating feature subspace exploration via multi-agent reinforcement learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:41.046464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b80180d-3d09-46a1-8bc4-4846245e5152 · outbound

This paper cites Automated feature selection: A reinforcement learning perspective,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Automated feature selection: A reinforcement learning perspective,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.979712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f15a5951-c513-4ae3-b54f-fce4c96aa232 · outbound

This paper cites Automatic feature extraction in large fusion databases by using deep learning approach,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Automatic feature extraction in large fusion databases by using deep learning approach,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.905355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1a08523b-0842-4d3a-97b8-9d5066df2015 · outbound

This paper cites Censoring Representations with an Adversary.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Censoring Representations with an Adversary

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:36.285359Z

Source-reported events for the cited work

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Observation f09231bb-6bc5-4f1a-a63e-9f2649d82e5e · outbound

This paper cites Learning adversarially fair and transferable representations,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Learning adversarially fair and transferable representations,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.829511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c970b4ff-43d7-4007-ac50-5206f2308bb5 · outbound

This paper cites Data privacy and utility trade- off based on mutual information neural estimator,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Data privacy and utility trade- off based on mutual information neural estimator,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.781759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 38223679-2506-4fec-94b0-7c2be8593073 · outbound

This paper cites Dp2-vae: Differentially private pre-trained variational autoencoders,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Dp2-vae: Differentially private pre-trained variational autoencoders,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.689762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6303dd55-8c07-451f-bd2f-98249dd3c7ce · outbound

This paper cites Feature selection as deep sequential generative learning,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Feature selection as deep sequential generative learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.665297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4424b139-2b0f-467a-b20e-da62e3e1b494 · outbound

This paper cites Group-wise reinforce- ment feature generation for optimal and explainable representation space reconstruction,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Group-wise reinforce- ment feature generation for optimal and explainable representation space reconstruction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.634558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ca9236ac-17ea-4169-8672-97a3fa8e13d4 · outbound

This paper cites Traceable automatic feature transformation via cascading actor- critic agents,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Traceable automatic feature transformation via cascading actor- critic agents,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.595510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d39b21a-b7d2-483e-940e-bc5439c7ec4f · outbound

This paper cites Reverse polish notation method,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Reverse polish notation method,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.561457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37758ccf-8acf-4376-bc47-ea7fadf56341 · outbound

This paper cites Fitness: A causal de-correlation approach for mitigating bias in machine learning software,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Fitness: A causal de-correlation approach for mitigating bias in machine learning software,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.516658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88ccd1bb-0da4-444b-a4e0-b11e1dfcbf17 · outbound

This paper cites Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:26:39.616941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 64fd63fa-7ac1-401f-a788-8914eb805dfb · outbound

This paper cites Fairness in decision-making — the causal explanation formula,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Fairness in decision-making — the causal explanation formula,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.477833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 61d8ab2e-10d4-42d6-a503-8f9e34b7ee31 · outbound

This paper cites an unresolved cited work.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:26:40.399224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 11953cc6-1264-470a-aef0-b1a0c64d3f9d · outbound

This paper cites Neural feature search: A neural architecture for automated feature engineering,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Neural feature search: A neural architecture for automated feature engineering,

Reference 22

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Source-reported events for the cited work

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Observation 85790db2-5e69-4d60-aa64-5597ce65cc1c · outbound

This paper cites Feature engineering for predictive modeling using reinforcement learning,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Feature engineering for predictive modeling using reinforcement learning,

Reference 23

Resolution: verified exact; doi, observed 2026-08-05T13:26:40.359296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50c12beb-9540-4f27-9639-99308ebc6243 · outbound

This paper cites Reinforcement- enhanced autoregressive feature transformation: Gradient-steered search in continuous space for postfix expressions,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Reinforcement- enhanced autoregressive feature transformation: Gradient-steered search in continuous space for postfix expressions,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.293937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a6ebdacb-cb41-4bb2-94f0-7dd34ca1fad3 · outbound

This paper cites Analyze gauss: optimal bounds for privacy-preserving principal component analysis,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Analyze gauss: optimal bounds for privacy-preserving principal component analysis,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:38.237799Z

Source-reported events for the cited work

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Observation b3ab17bf-184b-4dea-9451-fb9ba450d0a4 · outbound

This paper cites Differential privacy,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Differential privacy,

Reference 26

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Source-reported events for the cited work

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Observation 6ec610c7-fb4e-4fca-9e52-69c8d86e0d72 · outbound

This paper cites Random forests,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Random forests,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.238764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 66dbf3c8-c072-4e9c-8043-ad031da14bfb · outbound

This paper cites Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:26:39.140737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e39c4a3-8250-4e79-aad1-436af6ee698e · outbound

This paper cites Feature engineering for predictive modeling using reinforcement learning,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Feature engineering for predictive modeling using reinforcement learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.187532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 24fa700f-195b-426b-b4e9-4c5d43c6c2a7 · outbound

This paper cites Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:26:39.108912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8f2667a-00ef-4984-bfc4-7cc0fb867544 · outbound

This paper cites Strengthening learning algorithms by feature discovery,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Strengthening learning algorithms by feature discovery,

Reference 31

Resolution: verified exact; doi, observed 2026-08-05T13:26:38.589137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 970ada2c-8d35-4d74-97cc-85f38da5d5a5 · outbound

This paper cites Evolutionary Large Language Model for Automated Feature Transformation.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Evolutionary Large Language Model for Automated Feature Transformation

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:26:38.993905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27f44a95-fac5-428c-b6f9-34bf26a26bf5 · outbound

This paper cites Reinforcement-enhanced autoregressive feature transformation: Gradient-steered search in continuous space for postfix expressions,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Reinforcement-enhanced autoregressive feature transformation: Gradient-steered search in continuous space for postfix expressions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.104956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86063036-3686-4af9-ba2a-a9a5d1b9929b · outbound

This paper cites Self-optimizing feature generation via categorical hashing representation and hierarchical reinforcement crossing,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Self-optimizing feature generation via categorical hashing representation and hierarchical reinforcement crossing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.050278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d459629-115b-4ce9-8aab-e7128be43249 · outbound

This paper cites Distribution Shift Aware Neural Tabular Learning.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Distribution Shift Aware Neural Tabular Learning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:26:38.812237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ece0e916-f855-4f67-83de-fba0be124d6f · outbound

This paper cites Advanced conditional variational autoencoders (a-cvae): Towards interpreting open-domain conversation generation via disentangling latent feature representation,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Advanced conditional variational autoencoders (a-cvae): Towards interpreting open-domain conversation generation via disentangling latent feature representation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:39.988518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6ce17b8e-93ac-49a0-85f4-2dc85372b7a7 · outbound

This paper cites Joint disentanglement of labels and their features with vae,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Joint disentanglement of labels and their features with vae,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:39.931599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 666a6cfe-8dde-4c82-a42a-78ebf8ae84bc · outbound

This paper cites Disentangling high-level factors and their features with condi- tional vector quantized vaes,.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Disentangling high-level factors and their features with condi- tional vector quantized vaes,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:39.843555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b156987b-4fec-4012-8fa4-eb15049448a8 · outbound

This paper cites Disentangling Disentanglement in Variational Autoencoders.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Disentangling Disentanglement in Variational Autoencoders

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:38.468860Z

Source-reported events for the cited work

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Observation 3906a25f-1bbc-4b02-9c30-fe8e87fe77ab · outbound

This paper cites Available: https://ojs.aaai.org/index.php/AAAI/article/ view/11678.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Available: https://ojs.aaai.org/index.php/AAAI/article/ view/11678

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:40.137741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4cc041c8-237f-488a-af48-82a7d093d48a · outbound

This paper cites Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T13:26:38.916945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation ec9f3d5b-e3c0-4126-a132-9e82cf456548 · inbound

Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach cites this paper.

Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming

Reference 152

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:03:26.031243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.