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Paper Citation Record · LEDGER

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 7 inbound Pith citation observations for arXiv:2502.08828.

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

pith.paper-citation-record.v1
2502.08828 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:37:51.062005Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:06.786058Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:26:39.746952Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact3
  • verified fuzzy9
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22a01ec6-85d6-476e-8ced-e7fe413272d4 · outbound

This paper cites Feature interaction aware automated data representation transformation.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Feature interaction aware automated data representation transformation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a9c738b7-574f-4d47-8c8c-110bd9867b3b · outbound

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

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Evolutionary Large Language Model for Automated Feature Transformation

Reference 3

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Observation 57891a5c-577e-4a8d-964e-6bd7dfa4561f · outbound

This paper cites An empirical analysis of feature engineering for predictive modeling.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective An empirical analysis of feature engineering for predictive modeling

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bcda1b67-0b61-431b-976b-68ea6e694ae5 · outbound

This paper cites Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy

Reference 6

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local_arxiv, observed 2026-08-07T23:37:51.209335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 45e422a3-6eac-4561-bb1c-e4940e46ae29 · outbound

This paper cites Efficient reinforced fea- ture selection via early stopping traverse strategy.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Efficient reinforced fea- ture selection via early stopping traverse strategy

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 18566ba5-b9fa-4cfe-8bae-b1b3468e40da · outbound

This paper cites Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3c040690-685a-4521-8dfe-1cc9f3231a54 · outbound

This paper cites Beyond Discrete Se- lection: Continuous Embedding Space Optimization for Generative Feature Selection.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Beyond Discrete Se- lection: Continuous Embedding Space Optimization for Generative Feature Selection

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 25d30e8e-6976-4146-ad92-4d37ed35c314 · outbound

This paper cites Self-optimizing feature generation via cat- egorical hashing representation and hierarchical reinforce- ment crossing.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Self-optimizing feature generation via cat- egorical hashing representation and hierarchical reinforce- ment crossing

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f2d5c92c-66a1-423e-b5c1-eee7ffea1340 · outbound

This paper cites TFWT: Tabular Feature Weighting with Transformer.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective TFWT: Tabular Feature Weighting with Transformer

Reference 13

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local_arxiv, observed 2026-08-07T23:37:51.178113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ce7cfb9a-1d81-4986-b43e-d117643ac819 · outbound

This paper cites Dy- namic and adaptive feature generation with llm.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Dy- namic and adaptive feature generation with llm

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 70dd576a-f4f0-4b70-b676-b01ad9fb9874 · outbound

This paper cites Simplifying reinforced feature selection via restructured choice strategy of single agent.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Simplifying reinforced feature selection via restructured choice strategy of single agent

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T23:37:51.251986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:37:51.059130Z digest=sha256:f46c5faac58222a75ea4bd8b84682ddbc7636f393dee04090aa3a90f422c2c3d

Observation cba39228-1617-4ea3-95e8-d597e0b28b8d · outbound

This paper cites Difer: differentiable automated feature engineer- ing.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Difer: differentiable automated feature engineer- ing

Reference 2020

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raw_fallback, observed 2026-08-07T23:37:51.242156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:37:51.062005Z digest=sha256:9fa8f58f400b3ddc36518e5a47820ebb33c32bfb040f0387370bf461ae93d4cf

Observation 8b5b28d9-5665-4d89-b884-7fb7078294b9 · outbound

This paper cites Autogfs: Automated group-based feature selection via interactive reinforcement learning.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Autogfs: Automated group-based feature selection via interactive reinforcement learning

Reference 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 083b9215-7260-4c2f-9898-e4b657d94d1e · outbound

This paper cites Topology-aware Reinforcement Feature Space Reconstruction for Graph Data.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Topology-aware Reinforcement Feature Space Reconstruction for Graph Data

Reference 2023

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source=pdf_text observed=2026-08-07T23:37:51.048297Z digest=sha256:da6d3e023feec43bed47ee320752154e7696868c59f4a1edddbe7b2fc5e9576c

Observation 6418b741-c4b7-4e8b-aeb8-5d269c35beb7 · outbound

This paper cites Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation

Reference 2024

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local_arxiv, observed 2026-08-07T23:37:51.223983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7a3a3c1c-190c-4bf5-8936-1b0ae9511c25 · outbound

This paper cites Deep fea- ture synthesis: Towards automating data science endeav- ors.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Deep fea- ture synthesis: Towards automating data science endeav- ors

Reference 2025

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:37:51.030250Z digest=sha256:c5be1fefcd2f767e2dbd77e51fc742e709c4b816ac0bffe6544a1d2a4d31290a

Pith citing papers

Observation 96437a3f-0a74-4956-83f6-8c18e6906304 · inbound

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories cites this paper.

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective

Reference 34

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Observation 3a70cef8-ebdc-4df3-91c8-142f5887d96d · inbound

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation cites this paper.

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective

Reference 40

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Observation 721bf089-eab2-4bcc-b062-a8f256d138bc · inbound

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback cites this paper.

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective

Reference 61

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source=pdf_text observed=2026-08-07T15:19:41.963199Z digest=sha256:f5e43db1133d0eddb75ac81d263f46593a7649c8a738f906cdb1e38686c0966e

Observation 60bf0a8f-9325-4ac0-85bb-fe9d3b8c434f · inbound

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage cites this paper.

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective

Reference 53

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source=arxiv_source observed=2026-08-07T15:18:59.457922Z digest=sha256:d41b874a701fa29821a95fa137c65f2cff3877a52c4dac2bf3bba9126d16644d

Observation 1ef9000a-55ec-458a-8ce1-c92d40ba38dd · inbound

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation cites this paper.

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective

Reference 62

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source=arxiv_source observed=2026-08-07T05:14:57.391564Z digest=sha256:ea456e1ef3088aa27475cad9557e3f44b076c3dea32e5ec4623c734a937c1ddf

Observation 41eb6468-59af-42f5-b693-880edb0748c9 · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective

Reference 125

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source=pdf_text observed=2026-08-06T21:29:08.347320Z digest=sha256:2cfd01f0ddd8bae7b7e30345a9050c665dd37d31430f8ae5df49a3f07f06c555

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

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming cites this paper.

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

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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 2026-08-08T06:32:00.761636+00:00.

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