Paper Citation Record · LEDGER

TAGAL: Tabular Data Generation using Agentic LLM Methods

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2509.04152.

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

pith.paper-citation-record.v1
2509.04152 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:23:25.237791Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:03:52.964870Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T13:46:59.080619Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy11
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa5d25b6-188b-4a48-bd0d-2c1c5caeecf4 · outbound

This paper cites Language Models are Realistic Tabular Data Generators.

TAGAL: Tabular Data Generation using Agentic LLM Methods Language Models are Realistic Tabular Data Generators

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:22.430718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8425633e-bb01-4ab9-b36a-73b5a6be53bd · outbound

This paper cites Journal of artificial intelligence research16, 321–357 (2002).

TAGAL: Tabular Data Generation using Agentic LLM Methods Journal of artificial intelligence research16, 321–357 (2002)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:28.490242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bcd4cda3-8415-4997-9f2f-dfb3f2841647 · outbound

This paper cites The Llama 3 Herd of Models.

TAGAL: Tabular Data Generation using Agentic LLM Methods The Llama 3 Herd of Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:22.623408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e52f8d-8e23-4eaa-ba38-0f1c48545c15 · outbound

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

TAGAL: Tabular Data Generation using Agentic LLM Methods TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T10:23:25.638029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c946ed72-5069-4421-8517-0df82b71f692 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

TAGAL: Tabular Data Generation using Agentic LLM Methods DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:22.813552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39836410-b301-414f-aa15-6eb160a8776b · outbound

This paper cites an unresolved cited work.

TAGAL: Tabular Data Generation using Agentic LLM Methods Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:23:28.244022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4cd4573a-25b1-4772-891f-1397b960f3c5 · outbound

This paper cites Neurocomputing493, 28–45 (2022).

TAGAL: Tabular Data Generation using Agentic LLM Methods Neurocomputing493, 28–45 (2022)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:28.052248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8bd5e704-512c-4692-b8cc-57748e0d4e1e · outbound

This paper cites GPT-4o System Card.

TAGAL: Tabular Data Generation using Agentic LLM Methods GPT-4o System Card

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:23.139390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18af0dd0-7e6b-458e-b8df-d3e4c579643a · outbound

This paper cites Advances in Neural Information Processing Systems37, 31504–31542 (2025).

TAGAL: Tabular Data Generation using Agentic LLM Methods Advances in Neural Information Processing Systems37, 31504–31542 (2025)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:27.815171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d1dcaadd-a6ab-4306-8214-1f1cb8e2a909 · outbound

This paper cites In: Proceedings of the 2022 ACM on interna- tional workshop on security and privacy analytics.

TAGAL: Tabular Data Generation using Agentic LLM Methods In: Proceedings of the 2022 ACM on interna- tional workshop on security and privacy analytics

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:27.671329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation af6e3483-17a3-4201-9f12-a736bf25eae5 · outbound

This paper cites In: International Conference on Machine Learn- ing.

TAGAL: Tabular Data Generation using Agentic LLM Methods In: International Conference on Machine Learn- ing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:27.454659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0757f694-6a91-41f2-a72a-7f1f267f9efd · outbound

This paper cites MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data.

TAGAL: Tabular Data Generation using Agentic LLM Methods MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:23.530117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0163d27-ddf1-4e7d-a3d0-be1c1f29e007 · outbound

This paper cites DeepSeek-V3 Technical Report.

TAGAL: Tabular Data Generation using Agentic LLM Methods DeepSeek-V3 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:23.698136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5972e247-c13d-42e9-8028-380d22ab9473 · outbound

This paper cites Advances in Neural Information Processing Systems36, 46534–46594 (2023).

TAGAL: Tabular Data Generation using Agentic LLM Methods Advances in Neural Information Processing Systems36, 46534–46594 (2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:27.237725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a4c694b-4f1f-420d-8478-cf00b0767392 · outbound

This paper cites In: International conference on machine learning.

TAGAL: Tabular Data Generation using Agentic LLM Methods In: International conference on machine learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:27.022351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6efdc13d-a800-4ba2-8c05-9d01c567c141 · outbound

This paper cites an unresolved cited work.

TAGAL: Tabular Data Generation using Agentic LLM Methods Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:23:26.851841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1af310a7-990d-4a64-a17d-34662307f249 · outbound

This paper cites Synthcity: facilitating innovative use cases of synthetic data in different data modalities.

TAGAL: Tabular Data Generation using Agentic LLM Methods Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:24.117960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57f19a54-ba51-4b1c-a0c5-56e8c19782f8 · outbound

This paper cites OpenAI blog1(8), 9 (2019).

TAGAL: Tabular Data Generation using Agentic LLM Methods OpenAI blog1(8), 9 (2019)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:24.289063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93afa6aa-5832-4352-993e-60bfa0e6852f · outbound

This paper cites In: International Symposium on Intelligent Data Analysis.

TAGAL: Tabular Data Generation using Agentic LLM Methods In: International Symposium on Intelligent Data Analysis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:26.651350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79434224-a39a-45e4-b78b-2f5f4a6a20e1 · outbound

This paper cites Advances in neural information processing systems31 (2018).

TAGAL: Tabular Data Generation using Agentic LLM Methods Advances in neural information processing systems31 (2018)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:26.380916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a3f0c35-94a8-489e-8cca-188df5f5cf3a · outbound

This paper cites In: Proceedings of the Fourth ACM International Conference on AI in Finance.

TAGAL: Tabular Data Generation using Agentic LLM Methods In: Proceedings of the Fourth ACM International Conference on AI in Finance

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:26.135293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e6addc34-b0b4-43ae-8f6c-a187ac70dca5 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

TAGAL: Tabular Data Generation using Agentic LLM Methods Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:24.713600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c0e977a-5565-4bcb-a0af-22ae4460250a · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

TAGAL: Tabular Data Generation using Agentic LLM Methods Advances in neural information processing systems35, 24824–24837 (2022)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:24.851238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9547e87a-a69b-4e4b-866c-ab6a1f7ef214 · outbound

This paper cites Advances in neural information processing systems32 (2019).

TAGAL: Tabular Data Generation using Agentic LLM Methods Advances in neural information processing systems32 (2019)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:23:25.930572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3aa63c6d-5bc6-4b5d-8b11-9821048a24f1 · outbound

This paper cites A Survey of Large Language Models.

TAGAL: Tabular Data Generation using Agentic LLM Methods A Survey of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:25.054359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 131cfb29-f327-489a-91cb-af54909a7f74 · outbound

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

TAGAL: Tabular Data Generation using Agentic LLM Methods TabuLa: Harnessing Language Models for Tabular Data Synthesis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:25.237791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e9217cc7-ee50-47bc-82a2-f9083a7fe733 · inbound

Benchmark Everything Everywhere All at Once cites this paper.

Benchmark Everything Everywhere All at Once TAGAL: Tabular Data Generation using Agentic LLM Methods

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.082147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.