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Paper Citation Record · LEDGER

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.01879.

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

pith.paper-citation-record.v1
2608.01879 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:14:36.857655Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

16 of 16 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6167f76d-2b48-4a1f-bc08-6c51944fd916 · outbound

This paper cites AgeEducationMaritalSexRaceRelation ClassOccupationHours Income INC-EDU Resulting BN 𝐵⋆Source BN 𝐵.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation AgeEducationMaritalSexRaceRelation ClassOccupationHours Income INC-EDU Resulting BN 𝐵⋆Source BN 𝐵

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 930a7061-a70d-4e12-be95-904c8df8ef58 · outbound

This paper cites Proximal Policy Optimization Algorithms.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation Proximal Policy Optimization Algorithms

Reference 8

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source=pdf_text observed=2026-08-04T19:14:36.240610Z digest=sha256:d5464c86a93794d23a9b19cfb4f9a27cf989c8847be43eea12d9f3594bf4c560

Observation 7560dab7-7509-4b90-9c39-4e25791bf8d9 · outbound

This paper cites A Comprehensive Survey of Synthetic Tabular Data Generation.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 9

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Unavailable: canonical work link unavailable.

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Observation 92701c0a-02a5-4b08-aa09-44a6f9989047 · outbound

This paper cites REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:14:36.375103Z digest=sha256:0f041d6c0a9e5febd4e9d6c81f62a80451b74556e5545b5f494c236ec0b9d284

Observation 98b685f9-f8e1-4573-a8a6-954afef46f32 · outbound

This paper cites Villaizán-Vallelado, M.; Salvatori, M.; Segura, C.; and Ara- pakis, I.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation Villaizán-Vallelado, M.; Salvatori, M.; Segura, C.; and Ara- pakis, I

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:14:36.467056Z digest=sha256:bce0a3a0e9a4051a44791982a1932fc725668ec9ce22b0a51f9055a2ea860ba4

Observation 19cf0ab1-7119-4498-b649-1c08585eaf15 · outbound

This paper cites Why LLMs Are Bad at Synthetic Table Generation (and what to do about it).

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation Why LLMs Are Bad at Synthetic Table Generation (and what to do about it)

Reference 12

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no resolver link, observed 2026-08-04T19:14:36.528791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:14:36.528791Z digest=sha256:5d2c78c32d914b3a35357e2c6572148d40d6d69cd352610616b76943dc648103

Observation 19cb0279-2d5d-4e96-a751-29086bce3928 · outbound

This paper cites Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:14:36.608265Z digest=sha256:f8f17ea5891a883d4b6bf15c7aa51f220e2c78b21d588dc7e6f3ae03599e64d8

Observation f931827c-81fe-4aac-8502-9235d7e8a686 · outbound

This paper cites TabuLa: Harnessing Language Models for Tabular Data Synthesis.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation TabuLa: Harnessing Language Models for Tabular Data Synthesis

Reference 15

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Observation 5abe4fdc-abc3-41c1-b654-bc0839d62d81 · outbound

This paper cites TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation

Reference 140

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:14:35.856082Z digest=sha256:b97181da453395fa05e46b5fe8fc1dd68a524370bd56e137941403adddcd9e4c

Observation 8583f6d7-1994-47bf-9c68-c0b3e6f5fdd4 · outbound

This paper cites InProceedings of the 2014 ACM SIG- MOD International Conference on Management of Data, 1423–1434.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation InProceedings of the 2014 ACM SIG- MOD International Conference on Management of Data, 1423–1434

Reference 2014

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Observation a07d55a1-e1e1-4d49-9a59-f6c04727b215 · outbound

This paper cites In2016 IEEE International Confer- ence on Data Science and Advanced Analytics, 399–410.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation In2016 IEEE International Confer- ence on Data Science and Advanced Analytics, 399–410

Reference 2016

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no resolver link, observed 2026-08-04T19:14:36.175250Z

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Unavailable: canonical work link unavailable.

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Observation ffff13af-266c-4d22-95b9-af40c8436f6a · outbound

This paper cites Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula

Reference 2019

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:14:35.678579Z digest=sha256:298b518f626013cb3bfd3105c2a416bb032a1f0a300fdfa1665ad3079b5e50be

Observation 3550aa56-c481-41a0-965e-651007e416af · outbound

This paper cites InProceedingsofthe38thInternational Conference on Machine Learning, volume 139 ofProceed- ings of Machine Learning Research, 5637–5664.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation InProceedingsofthe38thInternational Conference on Machine Learning, volume 139 ofProceed- ings of Machine Learning Research, 5637–5664

Reference 2021

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Observation c706ffb6-00a7-43f1-943c-c3f82395e0d6 · outbound

This paper cites Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques

Reference 2023

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source=pdf_text observed=2026-08-04T19:14:35.782290Z digest=sha256:5c3b4ae50b9c8ea1b61a9fed25399ac564db05088e78c406c282ea2077151784

Observation ed50973c-4a97-4cd1-8fb1-c0d6d18a04e9 · outbound

This paper cites FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs

Reference 2024

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source=pdf_text observed=2026-08-04T19:14:36.119264Z digest=sha256:1ece3104a4ca250db5be4df1d613860e47832a67fbff6504a6a75f31d1909d99

Observation 00f7f57e-8f17-4ffa-b60e-c27ce1eae386 · outbound

This paper cites LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion

Reference 2025

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.