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Paper Citation Record · LEDGER

TableGPT2: A Large Multimodal Model with Tabular Data Integration

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T04:34:05.733204Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Resolution
verified exact
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T18:09:18.157131Z digest=sha256:88d6f92cf370d8ca12792edea65038cfb7366b34851c0eafda896874a63c8bca

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

Resolution
verified exact
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T15:32:54.053527Z digest=sha256:6c3e0b15f3ffff46c5fbfbe6dee11e6b3f7b436509286054895fb3091a8cf18f

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T06:31:39.551106Z digest=sha256:9bc750d9d386cc99f7e3d8a883bbc120ecbd3eba2b304ccc9268850459d103ae

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T15:18:54.967483Z digest=sha256:401eb9facd6cb0272350f203e514aba82323f7b97f57d0254ed3cbd24f9a6860

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:39:34.361824Z digest=sha256:dae0a54e55b726d934603d07e72ab4ddfe33fc6cddaa7c9a4940b4e316f6333f

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T02:26:05.632437Z digest=sha256:fa2b4394c9ad9462c54c4b648e32a20ae91de6def8b42c4e8b788735fabf2f42

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T08:13:40.115115Z digest=sha256:270c7e749ef0a5d985455c26b26f208904c69c6c12757c24965d9e2a88a2621b

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-22T06:43:31.886617Z digest=sha256:c60a4d98f6bce5dad6c9457a2aade7cfb97a6fbc9fca7d196bf30806cb6bf380

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T06:03:01.785005Z digest=sha256:17321d509ca37c87db7a7fabcff7a3b65894e8ea92f8747c56e40c3d9525c2d1

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

Resolution
verified exact
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T16:48:38.820334Z digest=sha256:4161b53fb016fe3d3d849fc047c5700a403bc0012d41ea7165a733a22bdaec8f

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

Resolution
metadata mismatch
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T16:47:39.095271Z digest=sha256:cfb11c2ec3efde69e704c75ef54343d85a4887a604ee3243e40097e8c1e8b58d

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

Resolution
verified exact
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T10:17:42.831128Z digest=sha256:8741a36abd8b45ca1d4ab3eac45b1cd59d8be02cf99468d37cd8f8fb5c09bc88

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

Resolution
verified exact
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-08T04:34:05.733204Z digest=sha256:aacdca186cd0ef72769fb4f4b622cbfb2881f0dd77f82f5e202f27e66dd82a7d