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Paper Citation Record · LEDGER

TableGPT2: A Large Multimodal Model with Tabular Data Integration

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2411.02059.

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

pith.paper-citation-record.v1
2411.02059 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:08:10.168350Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cd2023f6-1d86-4e75-982c-1a8fd6574534 · inbound

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering cites this paper.

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 43

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no resolver link, observed 2026-08-12T10:09:45.203352Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:09:45.203352Z digest=sha256:30eb65d766fc5dff0b0ebfd0b713b47b2e65038add1850f7fcff9a794d6830f8

Observation 2b3a5e4f-c510-46aa-892c-90776783d379 · inbound

FullStack Bench: Evaluating LLMs as Full Stack Coders cites this paper.

FullStack Bench: Evaluating LLMs as Full Stack Coders TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 62

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source=arxiv_source observed=2026-08-12T05:20:05.454496Z digest=sha256:ca53f6335785a80a965450cdf250b61e7ea7e7f6b2fcb7de9a872dbb41a50a4f

Observation bd3cd1d4-a812-4b73-b0da-3683d09814b1 · inbound

DataLab: A Unified Platform for LLM-Powered Business Intelligence cites this paper.

DataLab: A Unified Platform for LLM-Powered Business Intelligence TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 10

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no resolver link, observed 2026-08-11T23:49:05.068638Z

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source=pdf_text observed=2026-08-11T23:49:05.068638Z digest=sha256:2b3ad386eb9c8d40f90279e2d12d6ca99f0b9a13161e7aaea6381b2b0ff4e7a9

Observation 0e356140-73ad-462b-a639-f74d9c7650fb · inbound

Evaluating and Aligning CodeLLMs on Human Preference cites this paper.

Evaluating and Aligning CodeLLMs on Human Preference TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 37

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source=arxiv_source observed=2026-08-11T20:53:15.305084Z digest=sha256:ab379aa73ac4d1f0ad65256a48ca177bfcde073457fb220a710d06268ee1c6de

Observation e3ba6728-7df0-4b30-a88b-224fe1c6a927 · inbound

Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning cites this paper.

Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 39

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no resolver link, observed 2026-08-10T16:34:40.440365Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:34:40.440365Z digest=sha256:6dad5808ad1fecb894869842e99fe8f663b03d82bd94ec8bae6edc4e6dd08ed0

Observation af3be644-c0c9-4540-bfd3-a6aa1b03d07f · inbound

Rethinking Table Instruction Tuning cites this paper.

Rethinking Table Instruction Tuning TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 37

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no resolver link, observed 2026-08-10T14:59:58.543109Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.543109Z digest=sha256:1683b982d0cf3aa3bb63ed5ef95039a4acf2a98da1a004736ad616e0dfaa56f7

Observation 042ffa3b-2aee-400f-8e7a-8be85550af0d · inbound

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects cites this paper.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 34

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no resolver link, observed 2026-08-10T14:56:30.909708Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:56:30.909708Z digest=sha256:ef4e00465c991302c857e5e89aadd1996b39a86ed736b633f024532730cff1b4

Observation 68980f3f-f440-4dab-a922-599858ec497d · inbound

Zero-Shot Decision Tree Construction via Large Language Models cites this paper.

Zero-Shot Decision Tree Construction via Large Language Models TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 24

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no resolver link, observed 2026-08-10T13:39:50.801231Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:39:50.801231Z digest=sha256:98f06cca11e2c74cc5e6b0c0a61147ee09ffc04bff7edc9d07695398d49dbf0e

Observation d84bc50f-3376-4380-9b72-59260c21d1c3 · inbound

CoddLLM: Empowering Large Language Models for Data Analytics cites this paper.

CoddLLM: Empowering Large Language Models for Data Analytics TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 56

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:30:38.568058Z digest=sha256:0cc6947714a42f91da4ecfac8dafdc0ef92ef2faec9e484cdf25002c76c36c1b

Observation 626ce1b7-e22d-4121-af29-5344dc056282 · inbound

Griffin: Towards a Graph-Centric Relational Database Foundation Model cites this paper.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:08:10.168350Z digest=sha256:5b6787dd244b691eda58d841715f0814c28be18f68aa5be5423f58a78529db49

Observation f419e710-3852-4772-a43b-728c9e814555 · inbound

Multimodal Tabular Reasoning with Privileged Structured Information cites this paper.

Multimodal Tabular Reasoning with Privileged Structured Information TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 61

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no resolver link, observed 2026-08-07T10:54:03.155456Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:03.155456Z digest=sha256:fdc46147a62d9353c31b68671086eb0534e4f04c8bafe95d38cde20b309ea4a1

Observation 8c323538-ee50-4296-9ba5-97473bca09ff · inbound

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models cites this paper.

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 33

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no resolver link, observed 2026-08-07T06:03:45.412474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:45.412474Z digest=sha256:515214bed6f0ec80651ca5d7454f2a5e9f40e90b3e1bceb8abc68e845922da89

Observation 794b2ab7-43e2-47bb-80f0-83534dfd3a17 · inbound

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner cites this paper.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 40

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no resolver link, observed 2026-08-07T05:01:08.638594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.638594Z digest=sha256:e01d40887b36434728752496a9ec6c3244f39089f720c8c66f010788e00529f8

Observation bdf2d175-1d2b-4802-868a-b97e70998156 · inbound

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models cites this paper.

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:03.333517Z digest=sha256:23ee1362cbfbe24997002d32e2a596b4bfaa6fe259eed77a1b4f8545f8145b99

Observation d70a8907-08b1-4094-abbb-82692e3d32cb · inbound

LLM4Hint: Leveraging Large Language Models for Hint Recommendation in Offline Query Optimization cites this paper.

LLM4Hint: Leveraging Large Language Models for Hint Recommendation in Offline Query Optimization TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 2024

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no resolver link, observed 2026-08-06T20:16:03.928165Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:16:03.928165Z digest=sha256:70983b2bc30223772bbde56ea1519c8f9d9ec1ba058560337999e33657dcaa03

Observation 139d1d4c-88a9-4e1f-a35b-d09d3e809837 · inbound

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering cites this paper.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 65

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no resolver link, observed 2026-08-06T17:43:53.884678Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.884678Z digest=sha256:0fe5cb77f55574a3a021f83cdd9850c5419b7f815783914e0652c1c2143dda20

Observation aff98b8a-ed77-40a7-94b8-bdfbd2da7bbd · inbound

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps cites this paper.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 10

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no resolver link, observed 2026-08-06T16:36:52.274316Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:52.274316Z digest=sha256:bca64ff1a4efcb975629c9527592e9b1834bf02e00393f1a3f013189c0371ae8

Observation 0468101c-b92c-4af7-b7e2-3dc0dedfd032 · inbound

SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs cites this paper.

SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 26

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no resolver link, observed 2026-08-06T14:58:59.456594Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:58:59.456594Z digest=sha256:6bfa589ba842ef9bec972d6381e28497661d583e1990fcc07719c9a8f136a517

Observation 9a6340c3-009c-4a74-a149-3e50282c6250 · inbound

IFEvalCode: Controlled Code Generation cites this paper.

IFEvalCode: Controlled Code Generation TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 56

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.069005Z digest=sha256:43d2dd311f4e29cd10ee6475cade4ab0431e865bd4c1515f1b580ba4ac012723

Observation 9981d427-935c-412d-a650-04b1794bcbc2 · inbound

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering cites this paper.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:34.102906Z digest=sha256:1b317a05276f177ddeb43ebc47b8da1f9159638b7fa439e71bc87b9ee914497d

Observation 84e1238f-582e-4a82-8140-d7c6c257f014 · inbound

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning cites this paper.

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 26

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no resolver link, observed 2026-08-04T23:56:52.600044Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:56:52.600044Z digest=sha256:5dc62d70ffedf3d50c81822df7d62ae2a6ed166c006bec2c9b111249e18915a3

Observation 2b3788f0-0793-4588-96fa-e3fc3d62a133 · inbound

MachineLearningLM: Scaling Many-shot In-context Learning via Continued Pretraining cites this paper.

MachineLearningLM: Scaling Many-shot In-context Learning via Continued Pretraining TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 24

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arxiv_id, observed 2026-05-18T18:11:42.775039Z

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.

source=pdf_text observed=2026-05-18T18:09:18.157131Z digest=sha256:4917bc45ca56596a1aa496dbc3dfd5423b4918ff852895fe8c0199306920a14c

Observation 46f8aa50-a9c2-4de7-9595-a1ee76a3b83c · inbound

Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning cites this paper.

Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 18

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arxiv_id, observed 2026-05-10T15:35:33.221526Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T15:32:54.053527Z digest=sha256:a9b365b4ca4a9d173e7a500d94bb37ae722964d5f50afc75f534e6e48efa1049

Observation 2c7439d7-65b7-4808-8391-fa78042d5572 · inbound

A Multi-Agent Approach for Claim Verification from Tabular Data Documents cites this paper.

A Multi-Agent Approach for Claim Verification from Tabular Data Documents TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 3

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arxiv_id, observed 2026-05-10T06:36:36.659420Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T06:31:39.551106Z digest=sha256:7b17e75bd0e8642e6bf59003b34217c5ef6e8789aef4496c02387c9279abd11b

Observation f76b0985-0806-41be-af7e-5e08839f9d6f · inbound

RedParrot: Accelerating NL-to-DSL for Business Analytics via Query Semantic Caching cites this paper.

RedParrot: Accelerating NL-to-DSL for Business Analytics via Query Semantic Caching TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 29

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arxiv_id, observed 2026-05-15T15:20:08.220204Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T15:18:54.967483Z digest=sha256:0c629f089890dc822296c8f6d591759eb7b180c3849d219e30c07401b5247b8a

Observation 2ca8e584-c544-4534-bc29-7e38d9f1b3d0 · inbound

The Power of Order: Fooling LLMs with Adversarial Table Permutations cites this paper.

The Power of Order: Fooling LLMs with Adversarial Table Permutations TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 45

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arxiv_id, observed 2026-05-11T15:36:06.343470Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T19:39:34.361824Z digest=sha256:237c2ee916ca03747797bb34cebcf9335d1d3c442bac8125c994bbda1d3703c6

Observation 4dbfff7f-7e36-4436-b611-ed936d56635f · inbound

The Power of Order: Fooling LLMs with Adversarial Table Permutations cites this paper.

The Power of Order: Fooling LLMs with Adversarial Table Permutations TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 45

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arxiv_id, observed 2026-05-12T02:26:16.619185Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T02:26:05.632437Z digest=sha256:edc49d3ab3615a9122da5b592caa615c2c89f956cd93080bb83beb40a5298294

Observation 432bb007-a962-4ea4-9dc5-2df2736b2a37 · inbound

Efficient Table QA via TableGrid Navigation and Progressive Inference Prompting cites this paper.

Efficient Table QA via TableGrid Navigation and Progressive Inference Prompting TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 21

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arxiv_id, observed 2026-05-21T08:14:03.197217Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T08:13:40.115115Z digest=sha256:1cd0cc12b94125d3c3f67b6860d5688281207f9c3cef8af6542293d652b6998e

Observation 80cd3c3c-e589-43ce-96da-c8077de94e1d · inbound

Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables cites this paper.

Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 13

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arxiv_id, observed 2026-05-22T06:44:41.978882Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-22T06:43:31.886617Z digest=sha256:50b264a0d572c35f1f04355796de505a989bcfe0c6ef5b64126b79172fc379c7

Observation 366ab853-da90-41d8-981d-6898e67dc9a3 · inbound

Synthetic Contrastive Reasoning for Multi-Table Q&A cites this paper.

Synthetic Contrastive Reasoning for Multi-Table Q&A TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 2

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arxiv_id, observed 2026-07-02T08:26:48.156507Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T06:03:01.785005Z digest=sha256:95d3ad557e18ff9ffbd97bfd9f3853c382c72f181caa25e331d79dfb24efab3d

Observation 246937a4-d6bc-418d-ae6e-84a1f657a0c5 · inbound

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders cites this paper.

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 69

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arxiv_id, observed 2026-07-03T01:07:30.416192Z

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.

source=pdf_text observed=2026-06-27T16:48:38.820334Z digest=sha256:a7ad39aeeced4177204a25e4302eec894a4c9631ea82e024c95738eeaab67584

Observation 3112295d-b637-4e4c-927d-f88412773401 · inbound

TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMs cites this paper.

TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMs TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 6

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arxiv_id, observed 2026-07-03T01:07:30.633304Z

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.

source=pdf_text observed=2026-06-27T16:47:39.095271Z digest=sha256:109a498e0728cae32d527ce00b87d1106c3e8c18a09374fc5c59a2467aac453c

Observation 3ad5d628-bf7c-4e3d-9ec1-6ffa643daa90 · inbound

MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning cites this paper.

MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 15

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arxiv_id, observed 2026-07-03T09:57:56.181680Z

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.

source=arxiv_source observed=2026-06-27T10:17:42.831128Z digest=sha256:0cad18d39a56bbbc1b6c5a2f71521e728e061a0aabbc85f2ccc9a212aadaadcf

Observation fdf73d5a-0aa2-47db-b9ed-f25ddcfd762e · inbound

Data Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data Complexities cites this paper.

Data Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data Complexities TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 24

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local_arxiv, observed 2026-07-08T04:34:31.166695Z

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.

source=pdf_text observed=2026-07-08T04:34:05.733204Z digest=sha256:211ca3a02a04aec6f8463547509025e82133672f01b52affb1cde7afd453bae3