Paper Citation Record · LEDGER

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.13712.

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

pith.paper-citation-record.v1
2507.13712 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:23:33.783148Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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

40 of 40 outbound references displayed

verified exact4
verified fuzzy19
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 598605ee-5c42-4dbc-b93c-3a7a043923f6 · outbound

This paper cites Data preparation for machine learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Data preparation for machine learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:38.751648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1fde8060-ad89-428e-be21-be6d556637c2 · outbound

This paper cites Automated Image Data Preprocessing with Deep Reinforcement Learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Automated Image Data Preprocessing with Deep Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:30.657600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d570c450-7404-409e-890b-81e81386ff98 · outbound

This paper cites Agile data preparation & exploration for cloud machine learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Agile data preparation & exploration for cloud machine learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:38.562683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5340c89a-6cda-486d-ad2b-ab1c659a2dfc · outbound

This paper cites Evaluation of a tree-based pipeline optimization tool for automating data science.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Evaluation of a tree-based pipeline optimization tool for automating data science

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:38.377863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e66538aa-2240-4005-b16d-a417b1caabd0 · outbound

This paper cites Saga: a scalable framework for optimizing data cleaning pipelines for machine learning applications.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Saga: a scalable framework for optimizing data cleaning pipelines for machine learning applications

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:38.237557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 01ee8c8d-89fa-4b52-aecc-98b3570f803f · outbound

This paper cites Efficient and robust automated machine learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Efficient and robust automated machine learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:31.078217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375088c6-5cdc-4bb3-ac4a-859f1aee0cc7 · outbound

This paper cites Democratizing data science through interactive curation of ml pipelines.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Democratizing data science through interactive curation of ml pipelines

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:38.015211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74fcdbd8-8040-478d-b114-16dfb6dae417 · outbound

This paper cites Auto-weka: Combined selection and hyperparameter optimization of classification algorithms.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Auto-weka: Combined selection and hyperparameter optimization of classification algorithms

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:37.842520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2dab70af-ff3a-4ab7-812d-0d882f81a12d · outbound

This paper cites Diffml: End-to-end differentiable ml pipelines.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Diffml: End-to-end differentiable ml pipelines

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:37.608698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8042ecb1-3fda-4ce4-b075-2c0f6ebaa487 · outbound

This paper cites Diffprep: Differentiable data preprocessing pipeline search for learning over tabular data.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Diffprep: Differentiable data preprocessing pipeline search for learning over tabular data

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:37.343619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b3d091e-97d9-4af9-82b8-82b88f3c3acc · outbound

This paper cites Windtunnel: towards differentiable ml pipelines beyond a single model.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Windtunnel: towards differentiable ml pipelines beyond a single model

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:37.053123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0fcab13-8d6a-48e0-8f9f-8566e9b603a0 · outbound

This paper cites Learn2clean: Optimizing the sequence of tasks for web data preparation.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Learn2clean: Optimizing the sequence of tasks for web data preparation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.814639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3366b95-b1fd-46cd-b109-c33e5a3434cd · outbound

This paper cites Haipipe: Combining human-generated and machine-generated pipelines for data preparation.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Haipipe: Combining human-generated and machine-generated pipelines for data preparation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.587394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e83a6218-7581-4e71-b8e4-e5d95db0e36d · outbound

This paper cites Deepline: Automl tool for pipelines generation using deep reinforcement learning and hierarchical actions filtering.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Deepline: Automl tool for pipelines generation using deep reinforcement learning and hierarchical actions filtering

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.445549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53cb7596-9dc7-46fd-8b81-e294d62cb31c · outbound

This paper cites Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:23:34.971066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d62e133-8c4a-4e13-a091-969bcdf47e85 · outbound

This paper cites Ctxpipe: Context-aware data preparation pipeline construction for machine learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Ctxpipe: Context-aware data preparation pipeline construction for machine learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.312626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e61a14d-8c01-430a-b83e-ffc5a66ed93a · outbound

This paper cites CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:31.973644Z

Source-reported events for the cited work

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Observation fe9ad876-5462-4988-af3d-8587c193746a · outbound

This paper cites Advancing multimodal reasoning: From optimized cold start to staged reinforcement learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Advancing multimodal reasoning: From optimized cold start to staged reinforcement learning

Reference 18

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Source-reported events for the cited work

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Observation 43b9f82b-be6e-4782-8190-d8bb4546e76c · outbound

This paper cites A survey on deep reinforcement learning for data processing and analytics.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction A survey on deep reinforcement learning for data processing and analytics

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:36.149636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b8df54e-0aef-467e-a8fa-03fd476c95f7 · outbound

This paper cites Feature Engineering for Predictive Modeling using Reinforcement Learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Feature Engineering for Predictive Modeling using Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:32.213854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ee883b-3e76-450b-b28f-0577ab0fbff9 · outbound

This paper cites Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:23:34.721531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8235e233-c0f7-45f3-bf5f-0b3155f4f277 · outbound

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

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Feature engineering for predictive modeling using reinforcement learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:32.354690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7683b81-6610-4edd-ba4d-23bb6197f57d · outbound

This paper cites Towards sample efficient reinforcement learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Towards sample efficient reinforcement learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:35.963051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89481932-2ac6-4fe0-9e47-f94860f87c58 · outbound

This paper cites CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:23:34.470691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e17c84d2-2683-422a-8c2a-3ef21df91bcb · outbound

This paper cites Can Foundation Models Wrangle Your Data?.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Can Foundation Models Wrangle Your Data?

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f80aea-97f8-48a6-95d1-188bcd44a41f · outbound

This paper cites Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:32.671182Z

Source-reported events for the cited work

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Observation 1e4995a7-771d-4886-861d-1e5e5742202e · outbound

This paper cites Tabllm: Few-shot classification of tabular data with large language models.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Tabllm: Few-shot classification of tabular data with large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:32.761373Z

Source-reported events for the cited work

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Observation d63f222f-670d-4c71-beff-8e272a5254c5 · outbound

This paper cites Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:23:34.168092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb16501a-e5c8-4f15-88d6-0b2da1873ad2 · outbound

This paper cites Deep neural networks and tabular data: A survey.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Deep neural networks and tabular data: A survey

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d67acd-16d3-417c-b17f-94ee25ad0a9d · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:33.053859Z

Source-reported events for the cited work

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Observation e2d2ff35-ccbe-4f0b-b49f-16647a046db9 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Retrieval-augmented generation for knowledge- intensive nlp tasks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:33.118184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f3301e-1a9d-40de-a031-8a38e857e289 · outbound

This paper cites Vector database management techniques and systems.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Vector database management techniques and systems

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:35.753227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2658e39f-6a2c-439d-8afa-c350dab58e9a · outbound

This paper cites A comprehensive survey on vector database: Storage and retrieval technique, challenge.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction A comprehensive survey on vector database: Storage and retrieval technique, challenge

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:33.237047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa03fac-ebe7-4d67-9855-50e47764b3be · outbound

This paper cites When large language models meet vector databases: A survey.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction When large language models meet vector databases: A survey

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:35.611480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a31e9e1-d116-417b-b53d-0bc326214d66 · outbound

This paper cites Openml: networked science in machine learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Openml: networked science in machine learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:33.384847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8174759d-b82e-4f9f-80c1-f3fce4d49c49 · outbound

This paper cites Cleanml: A study for evaluating the impact of data cleaning on ml classification tasks.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Cleanml: A study for evaluating the impact of data cleaning on ml classification tasks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:35.471554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation abbf4c72-b406-4a1c-be6a-909735955d75 · outbound

This paper cites H2o automl: Scalable automatic machine learning.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction H2o automl: Scalable automatic machine learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:23:35.298837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 248bc831-6454-4d0c-8701-b9b9b9b40e08 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:33.645255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4f9a2a7-2ee7-4ae7-85d2-5791a0a7c1d8 · outbound

This paper cites Qwen3 Technical Report.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Qwen3 Technical Report

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:33.726532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523e0e25-ba80-4273-89f6-f169eea344b6 · outbound

This paper cites first-improvement.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction first-improvement

Reference 40

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:23:35.113074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.