Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:46:42.222982Z
Paper Citation Record · LEDGER
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes
As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.04687.
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 2026-08-22T06:32:14.747728+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
47 of 47 outbound references displayed
- verified exact3
- verified fuzzy36
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 337ca480-dd88-448e-ad72-76c62958689d · outbound
This paper cites Elsevier, 2012.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Elsevier, 2012
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:50.409598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9c51b48d-a157-4214-a5f8-8bbf29c691c8 · outbound
This paper cites Methods of integrating data to uncover genotype–phenotype interactions.Nature Reviews Genetics, 16(2):85–97, 2015.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Methods of integrating data to uncover genotype–phenotype interactions.Nature Reviews Genetics, 16(2):85–97, 2015
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:50.224581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 96c9b145-c82f-402c-b884-162db2a85863 · outbound
This paper cites Efficient joinable table discovery in data lakes: A high-dimensional similarity-based approach.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Efficient joinable table discovery in data lakes: A high-dimensional similarity-based approach
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:50.026779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 650a923a-0509-4fd9-bea3-2f78ce0ed162 · outbound
This paper cites Semantics-aware dataset discovery from data lakes with contextualized column-based representation learning.PVLDB, 2023.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Semantics-aware dataset discovery from data lakes with contextualized column-based representation learning.PVLDB, 2023
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:49.824503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 45a2b0e0-7a8f-4e77-b801-df5a0b27a8e6 · outbound
This paper cites Rosenthal.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Rosenthal
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:49.642134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0780ed56-de8f-4da4-9afb-4bb7a1115e32 · outbound
This paper cites Valentine: Evaluating matching techniques for dataset discovery.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Valentine: Evaluating matching techniques for dataset discovery
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:49.482221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 75a00a98-a892-4963-b6b2-a20f06ed0068 · outbound
This paper cites Table union search on open data.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Table union search on open data
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:49.318760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4b00f74a-ccce-422a-92a8-a565f510056b · outbound
This paper cites GitTables: A Large-Scale Corpus of Relational Tables.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes GitTables: A Large-Scale Corpus of Relational Tables
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:46:42.890225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 49028a64-ef2b-4a64-81c6-76178d7ec822 · outbound
This paper cites TPC-DI: The first industry benchmark for data integration.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes TPC-DI: The first industry benchmark for data integration
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:49.125604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa467c42-0294-4e0f-9812-9a1dd64662f1 · outbound
This paper cites Chembl: a large-scale bioactivity database for drug discovery.Nucleic acids research, 40(D1):D1100– D1107, 2012.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Chembl: a large-scale bioactivity database for drug discovery.Nucleic acids research, 40(D1):D1100– D1107, 2012
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:39.236042Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57d2744d-e8c1-4849-8bb3-f85a1f0a8507 · outbound
This paper cites C., Chaitanya Gokhale, Pradap Konda, Yash Govind, and Derek Paulsen.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes C., Chaitanya Gokhale, Pradap Konda, Yash Govind, and Derek Paulsen
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:48.946488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d55a9d0a-c3eb-48cd-99ee-ff1a18c6e897 · outbound
This paper cites Snomed-ct: The advanced terminology and coding system for ehealth.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Snomed-ct: The advanced terminology and coding system for ehealth
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:48.741560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3f32be8b-2d3b-434d-a22f-56ae5e46e621 · outbound
This paper cites The making of tpc-ds.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes The making of tpc-ds
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:48.565726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cab24634-ef3c-4f1b-af7c-2b7941f4183d · outbound
This paper cites Synthetic data generation for tabular health records: A systematic review.Neurocomputing, 493:28–45, 2022.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Synthetic data generation for tabular health records: A systematic review.Neurocomputing, 493:28–45, 2022
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:39.501733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 641e7c3f-cf91-40ce-9e35-47e36155955e · outbound
This paper cites Language models are realistic tabular data generators, 2023.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Language models are realistic tabular data generators, 2023
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:48.419360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e6c5ebb3-4060-4b71-8bc9-0bead5d7dbd7 · outbound
This paper cites an unresolved cited work.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:46:48.218891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bbf2f4fe-db4a-4f6a-8bfa-6ee40d839b7d · outbound
This paper cites The financial industry business ontology: Best practice for big data.Journal of Banking Regulation, 14(3-4):255–268, 2013.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes The financial industry business ontology: Best practice for big data.Journal of Banking Regulation, 14(3-4):255–268, 2013
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:48.056567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3746e272-56fa-44c5-91b6-39e8e2cc8d8c · outbound
This paper cites A survey of approaches to automatic schema matching.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes A survey of approaches to automatic schema matching
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:47.915906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c3b24c92-6f06-4832-bd50-cdc621c64b63 · outbound
This paper cites The gene ontology (go) database and informatics resource.Nucleic acids research, 32(suppl_1):D258–D261, 2004.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes The gene ontology (go) database and informatics resource.Nucleic acids research, 32(suppl_1):D258–D261, 2004
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:47.759516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6a2725aa-e419-4d1c-9893-1a1cc5c6e4b1 · outbound
This paper cites Building a drug ontology based on rxnorm and other sources.Journal of biomedical semantics, 4:1–9, 2013.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Building a drug ontology based on rxnorm and other sources.Journal of biomedical semantics, 4:1–9, 2013
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:47.570960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f999bc2d-c5f2-4b30-ace0-a05dc0ee35f7 · outbound
This paper cites Challenges and innovations in building a product knowledge graph.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Challenges and innovations in building a product knowledge graph
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:47.388707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6fe9ace4-e603-44fd-bd99-a99abc0d0659 · outbound
This paper cites Owl web ontology language overview.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Owl web ontology language overview
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:47.252137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ff7ecb10-3b4c-4741-98a6-56ddb0b8c4b6 · outbound
This paper cites Coma—a system for flexible combination of schema matching approaches.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Coma—a system for flexible combination of schema matching approaches
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:47.074969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9f71637e-76ab-4fd1-9856-24cf79e5e16b · outbound
This paper cites Drugbank 5.0: a major update to the drugbank database for 2018.Nucleic acids research, 46(D1):D1074–D1082, 2018.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Drugbank 5.0: a major update to the drugbank database for 2018.Nucleic acids research, 46(D1):D1074–D1082, 2018
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:46.922457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8d2683b9-ea0f-4fcb-b504-0d9c758d6816 · outbound
This paper cites Mimic-iii, a freely accessible critical care database.Scientific data, 3(1):1–9, 2016.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Mimic-iii, a freely accessible critical care database.Scientific data, 3(1):1–9, 2016
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:40.260786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aba2c4a-cfb2-4ec1-b8d9-62b5a329d36e · outbound
This paper cites Mimic-iii clinical database demo (version 1.4).PhysioNet, 2019.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Mimic-iii clinical database demo (version 1.4).PhysioNet, 2019
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:46.747459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation db218a45-5179-412e-8e43-f5bdfe4d1fb9 · outbound
This paper cites Similarity flooding: A versatile graph matching algorithm and its application to schema matching.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Similarity flooding: A versatile graph matching algorithm and its application to schema matching
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:46.536056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6eb207e2-0183-4765-9d70-05604111cba4 · outbound
This paper cites Analyzing and improving the image quality of stylegan.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Analyzing and improving the image quality of stylegan
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:46.268729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c1be3a87-1992-4882-a6a8-6074023d1fdc · outbound
This paper cites Ad- versarial generation of natural language.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Ad- versarial generation of natural language
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:46.075543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa1be799-bf5f-4ed6-b984-99d4d9f55ea0 · outbound
This paper cites Stewart, and Jimeng Sun.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Stewart, and Jimeng Sun
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:45.812879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3a4faebc-9667-42fb-b7e8-39907213c57b · outbound
This paper cites Data synthesis based on generative adversarial networks.Proceedings of the VLDB Endowment, 11(10):1071–1083, 2018.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Data synthesis based on generative adversarial networks.Proceedings of the VLDB Endowment, 11(10):1071–1083, 2018
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:40.629325Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c9ee4f6-e2b1-4572-8327-ec96a39e2b90 · outbound
This paper cites Airline Passenger Name Record Generation using Generative Adversarial Networks.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Airline Passenger Name Record Generation using Generative Adversarial Networks
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:46:42.682223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dc61ac8a-6a39-4418-a8f4-01f5a28bd7f7 · outbound
This paper cites Modeling tabular data using conditional gan.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Modeling tabular data using conditional gan
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:45.574677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation eb18418f-f164-4d02-bd4a-92f87d94c7ce · outbound
This paper cites Synthetic minority oversampling of vital statistics data with generative adversarial networks.Journal of the American Medical Informatics Association, 27(11):1667–1674, 2020.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Synthetic minority oversampling of vital statistics data with generative adversarial networks.Journal of the American Medical Informatics Association, 27(11):1667–1674, 2020
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:45.279523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5162ff48-412e-4edd-8619-984bcc90fe04 · outbound
This paper cites Vaem: a deep generative model for heterogeneous mixed type data.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Vaem: a deep generative model for heterogeneous mixed type data
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:44.978258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 59e88c8e-d7be-4997-a703-ffe9b8b2426c · outbound
This paper cites Generating privacy-preserving synthetic tabular data using oblivious variational autoencoders.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Generating privacy-preserving synthetic tabular data using oblivious variational autoencoders
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:44.688347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3d7b0abf-0037-4df8-9ce5-3dac71e2ff5d · outbound
This paper cites Synthesising multi-modal minority samples for tabular data,.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Synthesising multi-modal minority samples for tabular data,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:44.418972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0553dfcb-ed37-4cfd-803e-29a2004ba0f2 · outbound
This paper cites Tabnet: Attentive interpretable tabular learning.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Tabnet: Attentive interpretable tabular learning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:44.192549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3f8d4c91-3f65-425b-a84f-7456084be414 · outbound
This paper cites Saint: Improved neural networks for tabular data via row attention and contrastive pre-training,.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Saint: Improved neural networks for tabular data via row attention and contrastive pre-training,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:43.987059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ed4bfe12-dcd4-4a37-9b3c-771d0c154dab · outbound
This paper cites Self- attention between datapoints: Going beyond individual input-output pairs in deep learning.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Self- attention between datapoints: Going beyond individual input-output pairs in deep learning
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:43.793904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b79f17ec-2440-45e6-bdde-d000e72ff68a · outbound
This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:41.626833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03501243-0857-4756-bb5b-978a2b8eea4c · outbound
This paper cites Tabular transformers for modeling multivariate time series.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Tabular transformers for modeling multivariate time series
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:43.344964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 373ab5d0-63d0-4003-b11a-0b2983f2d634 · outbound
This paper cites Tabert: Pretraining for joint understanding of textual and tabular data.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Tabert: Pretraining for joint understanding of textual and tabular data
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:43.572886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7f2db700-692b-483a-a5ee-f2ba72ec2510 · outbound
This paper cites Language Models are Realistic Tabular Data Generators.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Language Models are Realistic Tabular Data Generators
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:42.138257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5325adc0-2019-45cd-8e1b-12da588388f8 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:42.053276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e90b19b-322f-4a3b-9227-bdbe48f31031 · outbound
This paper cites Listed Security.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Listed Security
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:43.083215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation de01cac0-a272-425e-937b-181ac35210a8 · outbound
This paper cites Synthesising Multi-Modal Minority Samples for Tabular Data.
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes Synthesising Multi-Modal Minority Samples for Tabular Data
Reference 2021
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:46:42.437346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.