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Paper Citation Record · LEDGER

TableGPT2: A Large Multimodal Model with Tabular Data Integration

As of 17 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 2026-08-17T06:30:58.91139+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:fd65012b64066743c8a703d761fd242fd9a7b68a0014c5a3b71e78edfa829276

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:c5b067845101a5547095fb522c261850d472d90802bc3e24af9ae96926e09627

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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source=pdf_text observed=2026-08-11T23:49:05.068638Z digest=sha256:943c582422a269aef17e504efa0051569faec278bee5c93a685bed24954c354e

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:53:15.305084Z digest=sha256:2c93ffae35301f8f3ee86445977278a0cbbdf2cddc8ef0ff4024ff7e0f81870d

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=sha256:447daecfcc4c027a2bf24e3cb1a799870ea5033a64c91f28b243490549e6919c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.543109Z digest=sha256:406ba1e6ec7e9d3e2ddb56a0d8d99cfd4f89500732bec5dda49a66b2ca989b7e

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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source=arxiv_source observed=2026-08-10T14:56:30.909708Z digest=sha256:7718bc1dd35e339c78a6180ec731aabec5e0c3e9d855c8ba9bdc53e4d147afd2

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:39:50.801231Z digest=sha256:03f28bcebe6e7fbbd08c9f7d1e8156fab6941327dda6dbb15dd3874b2406ac4b

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=sha256:585c77feee9d0cc63017bc51ff6c9a28f5add57e8086e071b726ec94f83a6bff

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=sha256:614e2af9163b7455fc5277c56d86842e197c15a445d87537b501f68171b2f79b

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:d04ae0b0b8ed035cb507eea1c70675db4203c49f7bb23b5d1c3b8e8a83e35a96

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:45.412474Z digest=sha256:da1b061bfec55482a2ecbf9da57e364588dee687f9b1eecd607e0bb0d36a2a6e

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=sha256:2cbc089f74d0e3eebb56153e683273782176f1b57218db70e6662168b6f1cd78

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=sha256:54950b6dc57a5429d87b9f1729d13921a19cca32368bc9ee4596a24dbea25791

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=sha256:939a4cc88fab62c15119b24a9e49fc4f8d6c1bd2811aaf03cb6a229339795406

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.884678Z digest=sha256:412fb61e4ff5115cf3b7fcbe4936333041f5d9e53f8bbbd1924593edde0f3aec

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:52.274316Z digest=sha256:2a77eb9844eb4d97a93c640b5331d5299ccf8a9e134ae5344fc00e5df39ac03d

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:58:59.456594Z digest=sha256:48bdff1473fe0bdb45932c44a27b8dafe649c773307e5f5ce35df0baaded0764

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=sha256:7e40ba0b14a7a44f2eb6d6a68f5b262ad6273af86e300d395a2b752d2f56e771

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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no resolver link, observed 2026-08-05T12:43:34.102906Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:34.102906Z digest=sha256:ccb558648f63b9e61ebbe6518f55618aef2868bfbf27788512f25845fdddc9d7

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:d1cbb927fa5eac68883943a25b4be8ccef51676bbea33d2226feda631dc876d6

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

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T18:09:18.157131Z digest=sha256:07cd5d02e2a3aae54ee31bb6a6fd5f15649cd539319a9c63b7dd7e386f344d47

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T15:32:54.053527Z digest=sha256:a65b82bedf32acf344c76caf82b77049d840c9666f5f5deba56577703eaf3a0b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T06:31:39.551106Z digest=sha256:254ce7111ccc30bf321924a60c9900a3051a736f25d49376483bc1e98388e29b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T15:18:54.967483Z digest=sha256:3904601b05a6a18490ad484c55e4e36a04593f91bfce9820c37fe8c40653a88c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T19:39:34.361824Z digest=sha256:238f6e10ae8275d257c4244c7bde7d11b3a8d8474d804602252c4101a15983c9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T02:26:05.632437Z digest=sha256:9c926b8083f5ca7de247de5aef3746f96785fbb9bbcd516a3d4e3dc3fa83f00b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T08:13:40.115115Z digest=sha256:116703586470b5df82cb6011628cdc9cc14ec353026fd81e0e189bcdc1f05187

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-22T06:43:31.886617Z digest=sha256:29a179b28ac6df4d4cdaae1d2b6e626ad151ebdfd26879860c1b029c213e1546

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T06:03:01.785005Z digest=sha256:37b6c985346fa1ded3178c308e499ab28685e50bf99bf2dd67a7af43ba5e42db

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T16:48:38.820334Z digest=sha256:dc3f0125b28012ef70d4a5c346bc87c80aa2121788169043760832192ba3e21c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T16:47:39.095271Z digest=sha256:313bc583b67a5693af2f7b3b38dd7402ad8d1a8267bc3f6a14ff33c4c954a151

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T10:17:42.831128Z digest=sha256:37086412ced099446effb3c0d413539a4e4b89affa8e35ccfdb7dedd7965d1c9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-08T04:34:05.733204Z digest=sha256:a2671657fb699d638fcad855e0d4af35ce35514cecec312d7019af6569bdaea0