Paper Citation Record · LEDGER

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 3 inbound Pith citation observations for arXiv:2506.11684.

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

pith.paper-citation-record.v1
2506.11684 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:07.592122Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T06:02:40.752332Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.123506Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy16
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1666e799-b930-4245-9e0d-dfd82153cca8 · outbound

This paper cites Single-table questions are invalid.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Single-table questions are invalid

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:12.998727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ecc92258-8bb8-4429-9ad1-724912db90b5 · outbound

This paper cites If the answer is incorrect,'is_valid'must be'false'.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space If the answer is incorrect,'is_valid'must be'false'

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:12.824167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b0bb14f-2836-41e6-a5d5-f181d5b88686 · outbound

This paper cites an unresolved cited work.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:12.585374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7dcf44c3-51df-4c9a-a1b6-4ef423dea799 · outbound

This paper cites is_valid.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space is_valid

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:12.352879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a07b906-3f3f-4e36-963d-904190c55dd8 · outbound

This paper cites If the question ask to get specific columns, return only mentioned columns.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space If the question ask to get specific columns, return only mentioned columns

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:10.352375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e965132-c27d-4e45-b8b1-e3ea80ee02dc · outbound

This paper cites We utilized the EasyR1 framework7 for these experiments, training for a total of 270 steps.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space We utilized the EasyR1 framework7 for these experiments, training for a total of 270 steps

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:12.115918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b18b321c-d787-4bd9-9acf-9eaa7d69529c · outbound

This paper cites an unresolved cited work.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:10.103617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1377a2e-a2f0-4067-af69-d2ca8dd576a5 · outbound

This paper cites However, take the time to think and reason before giving your answer.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space However, take the time to think and reason before giving your answer

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:09.870839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f147f837-3669-4879-862a-22f046c4e911 · outbound

This paper cites type": "json_schema.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space type": "json_schema

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:09.643973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c467accf-4ba4-4bcd-91e1-6516a4b058a3 · outbound

This paper cites an unresolved cited work.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:09.427868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15e0f121-7b3c-41f6-8d1a-3d3e9606c5c1 · outbound

This paper cites an unresolved cited work.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:09.212414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 238d37b2-22e2-4ec2-a725-df534045de66 · outbound

This paper cites This reasoning is crucial and MUST be included in the final output.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space This reasoning is crucial and MUST be included in the final output

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:08.975362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d80ca5eb-8e2f-418a-b818-ab7c1bc98ba3 · outbound

This paper cites an unresolved cited work.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:08.752669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a2d067e-645f-4931-9cba-52aab0148720 · outbound

This paper cites You can use SQL logic internally during your reasoning (Chain of Thought), but the final output should not contain raw SQL code.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space You can use SQL logic internally during your reasoning (Chain of Thought), but the final output should not contain raw SQL code

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:08.500472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a44ae9d3-e295-4462-991b-d62841905618 · outbound

This paper cites type": "object.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space type": "object

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:08.208183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 293490d1-43ba-4815-8a97-fb62960dfc72 · outbound

This paper cites an unresolved cited work.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:11.841692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ef7d0ea2-e58d-443d-9253-624ce4282017 · outbound

This paper cites Identify the specific information being requested and determine which table(s) and columns are relevant to answering the question.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Identify the specific information being requested and determine which table(s) and columns are relevant to answering the question

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:11.591862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d496a7e-8b8a-4943-ab97-3f7e6702b33a · outbound

This paper cites Perform any required filtering, joining, aggregation, or calculations on the data to arrive at the answer.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Perform any required filtering, joining, aggregation, or calculations on the data to arrive at the answer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:11.386259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7a37f17-08e9-49ce-afe3-2b3e4fd32172 · outbound

This paper cites The answer should be directly responsive to the question and presented in a human-readable format.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space The answer should be directly responsive to the question and presented in a human-readable format

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:11.127614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63c64141-d355-455a-90ac-06299bb30968 · outbound

This paper cites But you can use it internally, to come up with answer.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space But you can use it internally, to come up with answer

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:10.861024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8eb76308-fbfb-4583-97d7-89f8b74c2ec0 · outbound

This paper cites Your answer should be completely based on the data in the provided table(s).

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Your answer should be completely based on the data in the provided table(s)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:10.591011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46b37de0-7448-4e16-bffc-15d96311e935 · outbound

This paper cites Strictly, Give answer in this format, using the example below as reference: You FIRST think about the reasoning process as an internal monologue and then provide the final answer.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Strictly, Give answer in this format, using the example below as reference: You FIRST think about the reasoning process as an internal monologue and then provide the final answer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:07.969248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc484ef8-fe63-4bac-a6ec-04041b25f316 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:03.991559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa30a7cb-ee4f-4474-9bfd-0978851cab4f · outbound

This paper cites TableLlama: Towards Open Large Generalist Models for Tables.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space TableLlama: Towards Open Large Generalist Models for Tables

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:03.846206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acfcc0c9-36bc-4a52-8ad0-9dc4e2896dde · outbound

This paper cites Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs.

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:03.761426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3da99d6f-77df-47fe-8f7c-e5db46f106c6 · inbound

Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation cites this paper.

Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:21:10.724405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5fd382f2-716b-4f8f-8ed7-ad1fd6c8214e · inbound

VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning cites this paper.

VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:56:27.044257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29a8f75f-b89c-4c80-abf8-2623cd1238f3 · inbound

ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs cites this paper.

ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:49:52.125039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.