Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T00:39:05.990912Z
Paper Citation Record · LEDGER
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
As of 4 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 0 inbound Pith citation observations for arXiv:2604.20261.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
92 of 92 outbound references displayed
- verified exact19
- verified fuzzy48
- unresolved24
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c7ff4ed8-785c-4520-9568-9554bf76bd37 · outbound
This paper cites 2026 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2026 , eprint=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.809967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1b8cb322-124b-4ca4-9cf5-de1780ea07c7 · outbound
This paper cites 2026 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2026 , eprint=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.813692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 65a04bd2-5eb6-4373-98d2-0e8c40c22fb4 · outbound
This paper cites The Fourteenth International Conference on Learning Representations , year=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data The Fourteenth International Conference on Learning Representations , year=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.800208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1131229c-c3a0-41b5-b840-1f4740b5f5e6 · outbound
This paper cites 2025 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2025 , eprint=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.794796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d3af3f4-10eb-4cd7-9e85-516fde647028 · outbound
This paper cites Proceedings of the 41st International Conference on Machine Learning , pages=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Proceedings of the 41st International Conference on Machine Learning , pages=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.805643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6a959ef0-ef0e-410f-8d8d-ea6fc2193fe8 · outbound
This paper cites 2024 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2024 , eprint=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.790106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72f798a6-c8ba-4980-b8bb-37522950b832 · outbound
This paper cites 2025 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2025 , eprint=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.894811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f454190-5981-4fa4-b1bb-fe164d12e8fb · outbound
This paper cites 2024 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2024 , eprint=
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.899770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation abbb6347-3195-4e3c-bc6d-573863508182 · outbound
This paper cites Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning , volume =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning , volume =
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.052030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9422d119-c661-45e6-a7ab-c3f459c4aa18 · outbound
This paper cites 2024 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2024 , eprint=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.903630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4a6447fa-a21c-499d-91ab-4122261ce44a · outbound
This paper cites Datenbank-Spektrum , volume=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Datenbank-Spektrum , volume=
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.065430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cecfa0c1-cab7-4a3c-8218-b1180893d262 · outbound
This paper cites 2025 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2025 , eprint=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.115767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5ada6ee3-9b08-4085-a6f0-e1b8f0ac585d · outbound
This paper cites Journal of Machine Learning Research , year =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Journal of Machine Learning Research , year =
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.185054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3d3def60-2cb8-42fa-ae22-fefe3272fea3 · outbound
This paper cites Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.823250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec10bc55-47dd-4051-a645-8fedca25ba71 · outbound
This paper cites Efficient and Robust Automated Machine Learning , volume =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Efficient and Robust Automated Machine Learning , volume =
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.828626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 275bfc24-ac11-4bf7-bfd5-5e37cb8700e7 · outbound
This paper cites Workshop on automatic machine learning , pages=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Workshop on automatic machine learning , pages=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.832996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cb316388-9010-4a88-8a6d-5bb20130e259 · outbound
This paper cites Proceedings of the AutoML Workshop at ICML , volume=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Proceedings of the AutoML Workshop at ICML , volume=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.889810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77357e8d-561d-46b6-903f-f00af21993a7 · outbound
This paper cites FLAML: A Fast and Lightweight AutoML Library , volume =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data FLAML: A Fast and Lightweight AutoML Library , volume =
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.819023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b03f7cb9-bb54-441b-9ccb-b1dfdfd8822e · outbound
This paper cites Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering , volume =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering , volume =
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.852803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8a8d7913-2e12-4722-838c-ad0d9832e0e4 · outbound
This paper cites Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.566830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ad8fdb2f-a4ed-4b0f-b8b2-f1ee64bb7014 · outbound
This paper cites Deep feature synthesis: Towards automating data science endeavors , year=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Deep feature synthesis: Towards automating data science endeavors , year=
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.060131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9877a0d7-75c1-48b2-bdf2-b6953e569cc6 · outbound
This paper cites International Conference on Machine Learning , pages=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data International Conference on Machine Learning , pages=
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.125104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 910ea29e-9a4a-4436-bf04-4fc386e90650 · outbound
This paper cites Proceedings of the 33rd ACM International Conference on Information and Knowledge Management , pages=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Proceedings of the 33rd ACM International Conference on Information and Knowledge Management , pages=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.579282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2a8f87b5-461e-42b9-8b7e-b567a75f5d64 · outbound
This paper cites 2025 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2025 , eprint=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.862640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 19b83ce1-ce08-4c75-b89e-fb6eaff7145f · outbound
This paper cites Proceedings of the 36th annual acm symposium on user interface software and technology , pages=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Proceedings of the 36th annual acm symposium on user interface software and technology , pages=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.843848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0515f4b3-a618-442f-8a92-86df81c2d5bd · outbound
This paper cites Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy , volume =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy , volume =
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.848778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 216c18be-161d-4a1a-ac5a-be428d143550 · outbound
This paper cites 2025 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2025 , eprint=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.857978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e6d66f4e-f7ea-45a6-b587-cd2f0134032f · outbound
This paper cites 2024 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2024 , eprint=
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.884252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4952deaa-8695-497c-b899-d1161981f126 · outbound
This paper cites Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence , pages=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence , pages=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.879735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e4136da3-1576-472a-8fc7-834d0f3549e7 · outbound
This paper cites AutoGen: Enabling Next-Gen.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data AutoGen: Enabling Next-Gen
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.838662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 984cb908-219f-4420-934a-e7e25b96ef6b · outbound
This paper cites Vicinagearth , volume=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Vicinagearth , volume=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.873918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3d544c87-2fe1-492c-b8a9-b6cd138fa128 · outbound
This paper cites Llm-based multi-agent systems for software engineering: Literature review, vision, and the road ahead.ACM Trans.Softw.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Llm-based multi-agent systems for software engineering: Literature review, vision, and the road ahead.ACM Trans.Softw
Reference 33
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.281022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c9941bf8-9cc6-4048-947f-0efc5796a153 · outbound
This paper cites 2023 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2023 , eprint=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:54.869430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f4cd76cd-51d3-480f-a725-4f306e172b3e · outbound
This paper cites 2024 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2024 , eprint=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.552564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0ecaea32-a363-4070-9e90-5cdc636c00d8 · outbound
This paper cites Findings of the Association for Computational Linguistics.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Findings of the Association for Computational Linguistics
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.544985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f9e7b8ca-2175-4cfb-be70-dc7797dbe00f · outbound
This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.557738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fbcd3998-2c7c-40df-8494-03b12cfb9023 · outbound
This paper cites 2025 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2025 , eprint=
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.562041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e1a6fc3-b401-4c44-8397-39364bd8b035 · outbound
This paper cites 2023 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2023 , eprint=
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.585790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a7331e52-0c63-4f30-962a-b8da0d623364 · outbound
This paper cites Reflexion: language agents with verbal reinforcement learning , url =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Reflexion: language agents with verbal reinforcement learning , url =
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.591180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a866aeae-e1ea-45bd-931b-1bc93a0438ee · outbound
This paper cites 2024 , eprint=.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2024 , eprint=
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.570989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d9d8a241-c34f-4a5e-a83b-59f88f81bbec · outbound
This paper cites Proceedings of the 22nd.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Proceedings of the 22nd
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.594594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b78a7933-54e3-416e-98b8-45f060c0d76e · outbound
This paper cites LightGBM.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data LightGBM
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:55:34.533465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd68a50e-d51c-421c-9499-0d64c8c1d441 · outbound
This paper cites Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018 , pages =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018 , pages =
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.191419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 62cfe5da-8787-45c0-9228-edc1c0cb369c · outbound
This paper cites Information Computing and Applications - Third International Conference.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Information Computing and Applications - Third International Conference
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.196012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3def44f8-3e72-4209-a828-620c2f7d52d9 · outbound
This paper cites In: Proceedings of the 47th International ACM SI- GIR Conference on Research and Development in Information Retrieval.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data In: Proceedings of the 47th International ACM SI- GIR Conference on Research and Development in Information Retrieval
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T00:39:47.226712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bea8111a-9eab-435a-aad7-393b8825645e · outbound
This paper cites 2025 , isbn =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2025 , isbn =
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:47.231467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b41cc731-cab1-425f-ad5f-cd777476aa0b · outbound
This paper cites Chisel: Sculpting Tabular and Non-Tabular Data on the Web , year =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Chisel: Sculpting Tabular and Non-Tabular Data on the Web , year =
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:47.269633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bdb5ffec-d819-488f-aa87-0941c47357ca · outbound
This paper cites 2018 , isbn =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data 2018 , isbn =
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.200667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 63789108-2b0e-4ca2-b631-a9c2d2e93a18 · outbound
This paper cites Aho and Jeffrey D.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Aho and Jeffrey D
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.210486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b44e6fce-9a5d-4fa6-b64a-2c8454b69772 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:55:34.582421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d7cc18d9-4feb-4279-ad73-f011ea22ca38 · outbound
This paper cites Chandra and Dexter C.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Chandra and Dexter C
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:47.235544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 881bd099-b18b-4e02-af76-935a042d41f2 · outbound
This paper cites Scalable training of.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Scalable training of
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.205772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ff9aa8eb-eda4-4dce-9639-4bf470d94ee1 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.176493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e93b04e3-835b-45f5-81f4-de6507fe4bea · outbound
This paper cites Tetreault , title =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Tetreault , title =
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.167760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation acc4b5e0-9372-4da4-803e-2e51c1a4d4d0 · outbound
This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T10:52:55.154054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 648b49ec-bad9-408a-8787-a60bb3b40a46 · outbound
This paper cites LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:44:45.366216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3862377e-3a39-4192-a0f9-3359d9a1fa17 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.158537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 865a762d-70fb-4303-a0aa-c4898b0928f0 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.148443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 71172f73-d99a-4853-9d0a-c5729a630c8b · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.163047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9c26504a-4a45-4c6d-82fb-c9bd88a2c398 · outbound
This paper cites Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.428308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c1863397-e4ab-4e49-a519-89c5a35dee49 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.172489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 088942e2-e81a-4050-a3e9-1cd056b78bd2 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.134428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b223dfa-865d-4176-bf04-a41e55731e12 · outbound
This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:43:20.141148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5ce2be91-a6c7-407f-8f62-1feee86e8463 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.144001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5777546c-3762-4ebf-bed2-e18c50ff8869 · outbound
This paper cites LLM-Select: Feature Selection with Large Language Models.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data LLM-Select: Feature Selection with Large Language Models
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.419463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d319a68-b780-466b-a16a-60f0f1628609 · outbound
This paper cites Deep feature synthesis: Towards automating data science endeavors.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Deep feature synthesis: Towards automating data science endeavors
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:47.273442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d055910-bc76-463d-a4ab-de1ab011cd08 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.138948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36ceadcf-3278-4ddc-b1f2-311a1de2aa94 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.180932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0f46b037-af7c-4d78-81ba-ff0cbd06db70 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:55:34.575154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation abccc44b-ac3e-4020-be72-d5fc8b28aac2 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 71
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.103208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0775b05f-ede6-4711-9ef3-eb0bbaf95370 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.422433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4a6311c8-585a-4d0b-9a63-dd3ac6674e98 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.107635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2370bdee-61f9-4cc2-8b1e-08d43c5a7d68 · outbound
This paper cites PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:04:29.725277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9a428130-4345-490f-bafc-496b733a614a · outbound
This paper cites Groupdebate: Enhancing the efficiency of multi-agent debate using group discussion.arXiv preprint arXiv:2409.14051.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Groupdebate: Enhancing the efficiency of multi-agent debate using group discussion.arXiv preprint arXiv:2409.14051
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.413616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8129a142-92be-4969-b2bc-2053f85aeb80 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 76
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.110987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0501fe04-d6c8-4f26-bebb-613d2010fe6f · outbound
This paper cites A Survey on Large Language Models with some Insights on their Capabilities and Limitations.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data A Survey on Large Language Models with some Insights on their Capabilities and Limitations
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.416340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ff0871c7-4f49-43c5-be1f-d00ca86bd47b · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 78
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.129639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b2c8a00-79be-49a6-9124-7feddf738ee4 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 79
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.120027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d399a988-645d-49fd-9a47-a73a72abad30 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 80
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.092025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae57c5ad-b2c4-4293-8fe7-874bc659a9fd · outbound
This paper cites AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T00:39:48.447016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fdeb945e-8ff3-4895-a539-be1e4cc88c32 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 82
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.086703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4837f00b-06fb-48b1-ac49-721390f72d8b · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 83
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.095447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 95b39de6-3822-443c-8d39-0b01f853a356 · outbound
This paper cites AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.443851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01354323-4372-45f0-add6-9ac40299ad65 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 85
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.099603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0edafdb-4ade-4bdb-9879-0e75b13f79ae · outbound
This paper cites Frontiers Comput.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Frontiers Comput
Reference 86
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.277951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 385f1a27-9868-4bc2-9a86-17f953d22cec · outbound
This paper cites A Versatile Graph Learning Approach through LLM-based Agent.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data A Versatile Graph Learning Approach through LLM-based Agent
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.440686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ab0f27a9-3112-4d6f-b777-62a6b5a8acd3 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 88
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.082219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ca3b6001-f508-4619-80fc-58352b6937d3 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 89
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.069805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef9880ac-ae3e-493f-9004-58993b3aac9b · outbound
This paper cites Large Language Models Synergize with Automated Machine Learning.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Large Language Models Synergize with Automated Machine Learning
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.434274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ec5d63e-7935-42ad-83e4-e52da21c8496 · outbound
This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data ReAct: Synergizing Reasoning and Acting in Language Models
Reference 91
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T00:39:48.449829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4d7d9b96-e896-45dd-9081-6f07068571e9 · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 92
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.074481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b943d6dc-35f9-4303-ad0e-1250be9b2e1a · outbound
This paper cites an unresolved cited work.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Unresolved cited work
Reference 93
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T10:52:55.078529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.