Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2501.10555.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:05.567414Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T14:34:45.704430Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 2418821f-eb3a-4bf4-8544-ca6daffbad50 · 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 Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:29:05.567414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f8b75a5-8396-4539-ba34-1f5b9d42dd71 · 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 Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:25:49.703098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b186ec6-dba3-4ed6-94a6-891f00154eb2 · inbound
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback cites this paper.
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:19:41.432848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b38937d-9984-4857-8b75-0752ea2ce779 · 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 Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:18:57.868631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67ebfffb-90c5-461f-ba58-7ea1513ed79d · 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 Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:57.328038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2726999-8d48-4c29-a8c9-2386cdd8ecf8 · 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 Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Reference 96
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:29:04.583770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f47c3255-a019-4ffa-93b9-a6e0a7aea4a8 · inbound
LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots cites this paper.
LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T14:34:45.705643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.