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Paper Citation Record · LEDGER

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 49 inbound Pith citation observations for arXiv:2105.07624.

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

pith.paper-citation-record.v1
2105.07624 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:42:10.906249Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:20.514933Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 03f39fa5-4bc7-4d2c-9946-8ca19fb14838 · inbound

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models cites this paper.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 18

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source=arxiv_source observed=2026-08-12T13:42:10.906249Z digest=sha256:7890a63ba0dd122d2cd6f673362e55851c0cc217c0ca7f85ea4477ac0359f048

Observation 7f1d010d-cde0-4226-bd9c-99b84a9ecec8 · inbound

MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications cites this paper.

MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 36

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source=pdf_text observed=2026-08-12T10:49:46.847222Z digest=sha256:d632076adcc9e060911f90e6b591313235a605c13711917252e96d6d52f78390

Observation 712970a4-f3b7-4ff3-a877-a8c22cfa45e0 · inbound

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

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 15

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source=pdf_text observed=2026-08-12T10:09:45.122125Z digest=sha256:d094e20bdd1dbae063a5510b264f5af63ae24ced717f9ac60e4cc0b75c62619a

Observation c6e386f7-3641-4e66-bcf5-6d91ef26b2a4 · inbound

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation cites this paper.

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 51

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source=arxiv_source observed=2026-08-11T15:33:34.613072Z digest=sha256:2a3c310e5c41bd7bbb8c302055c5ca7b37559bb2fe8947d7c94c76f5be392721

Observation d2d1226b-f263-4609-97b3-6f03f307b87a · inbound

Knowledge Boundary of Large Language Models: A Survey cites this paper.

Knowledge Boundary of Large Language Models: A Survey TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 22

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source=pdf_text observed=2026-08-11T14:07:14.424036Z digest=sha256:916df89706eda073124d5ee2e77c83b18d658d8470ed5fc4b966a8ba4b89fb72

Observation df004027-d119-4085-b54f-6105fe08a7af · inbound

Text2Insight: Transform natural language text into insights seamlessly using multi-model architecture cites this paper.

Text2Insight: Transform natural language text into insights seamlessly using multi-model architecture TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 31

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source=pdf_text observed=2026-08-10T23:59:58.466519Z digest=sha256:854698b67b3563dd1cad6bc44f147be2395e3fd389bb81b6e25b06e004d11e42

Observation a46cecd2-4a68-4e7f-983e-da1af320d80a · inbound

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding cites this paper.

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 40

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:17:03.098852Z digest=sha256:76ac17280e7d3f9f02067a9f242abd66e5d9a7ba550bea1a2edf3e103ef58435

Observation 90f47e69-b92b-430f-b5a8-ef2eaed6d769 · inbound

Open FinLLM Leaderboard: Towards Financial AI Readiness cites this paper.

Open FinLLM Leaderboard: Towards Financial AI Readiness TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:49:51.371583Z digest=sha256:ab58475cf7e0facd8317e9afa65ae454f82717be83b42e305a3b0da8d822cef5

Observation ecdae5d7-d906-4efb-af4b-c6788672d400 · inbound

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments cites this paper.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 71

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source=arxiv_source observed=2026-08-09T21:57:15.137988Z digest=sha256:1310a3aa748cd2599bcfdb190dbd6f6bdcf6cd2533da24ba5d9bbce10c0267df

Observation 68bf5525-6459-453b-96ec-f329a27c6670 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 124

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arxiv_id, observed 2026-05-23T01:12:20.887692Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:f61cbd9c2fd8de970bbcfaa18789c5eb42a654184b2b2e18caa3b22596dc330a

Observation 56c2a8ce-096f-45fa-99e9-c110fffa6a03 · inbound

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding cites this paper.

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 84

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arxiv_id, observed 2026-05-22T19:52:01.872320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T19:49:00.961388Z digest=sha256:42eaaa4de0d2947aa39b4d0da18ecbcc02bf8439545dcef76981901873f85ff1

Observation 64cc57bb-7272-4ad0-956f-94f7c1dc8997 · inbound

Realistic Evaluation of TabPFN v2 in Open Environments cites this paper.

Realistic Evaluation of TabPFN v2 in Open Environments TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 63

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:18.997144Z digest=sha256:a432dc64736e1c90c4cd52c5a185b8422577703fc4dbefd2bd33378475aa1289

Observation fe675a76-6d30-4ce3-888a-dd10fd1b3a09 · inbound

FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information cites this paper.

FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 36

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arxiv_id, observed 2026-05-22T02:25:56.146114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T02:25:01.761434Z digest=sha256:2eef14ff27a260cb4bd0ee2d8e81f9e5b26a4622c52f6d9df0dfb50ed6efd1ed

Observation ee542fb0-96d7-40af-8c6e-822489d0bbe0 · inbound

Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective cites this paper.

Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 15

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arxiv_id, observed 2026-05-19T13:53:05.644837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T13:52:44.096262Z digest=sha256:858be10561d1aaee97d793af7ec81a34c3d6a39ac40ebdae8262ddabbb50d4cf

Observation bfa6ba97-5339-4675-859f-5a63c7803cc5 · inbound

MMTABREAL: Real-World Benchmark for Multimodal Table Understanding cites this paper.

MMTABREAL: Real-World Benchmark for Multimodal Table Understanding TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 41

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no resolver link, observed 2026-08-07T13:30:21.690266Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:21.690266Z digest=sha256:d64be133789e91cfe5f507a1a1128561bc3f95114bf73cbc4fe264be397eeb31

Observation 52d0b06e-ab5e-4051-8284-8aea37c3694a · inbound

Learning Sparsity for Effective and Efficient Music Performance Question Answering cites this paper.

Learning Sparsity for Effective and Efficient Music Performance Question Answering TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 82

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source=arxiv_source observed=2026-08-07T11:50:47.436757Z digest=sha256:fec6c7c0b8582d0646fcaa4ccd01732260c3be908a106fead40fdd35cfad8a3f

Observation 71d4399c-d649-4fb5-b8d3-a6806c7a874f · inbound

Multimodal Tabular Reasoning with Privileged Structured Information cites this paper.

Multimodal Tabular Reasoning with Privileged Structured Information TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 88

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source=pdf_text observed=2026-08-07T10:54:04.372553Z digest=sha256:7c3a73397e8a046c4dd931950e98d95ceedceaf107312aa3122291d36001c57a

Observation db38527c-8caf-4485-8daf-018d8d494842 · inbound

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools cites this paper.

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 33

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source=arxiv_source observed=2026-08-07T10:27:36.847511Z digest=sha256:d31f31af8cc73b3fdc98bbdd68e94cb14e0d6a24665926262cf5403974f1b82f

Observation 79cd05e6-0282-4482-b3b5-96963c6e5782 · inbound

What to Keep and What to Drop: Adaptive Table Filtering Framework cites this paper.

What to Keep and What to Drop: Adaptive Table Filtering Framework TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 33

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source=arxiv_source observed=2026-08-06T21:47:41.945165Z digest=sha256:dc48c122e25111b2053f09dae2769fde6376f0067ea327b341617110bfcc88b3

Observation 812782b5-2b8a-4a11-9314-71c6e9c556bd · inbound

Unlocking Speech Instruction Data Potential with Query Rewriting cites this paper.

Unlocking Speech Instruction Data Potential with Query Rewriting TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 52

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source=arxiv_source observed=2026-08-06T18:21:35.837431Z digest=sha256:3c80eb70d7d382c99631b37d4e63403bc827c8bfbf4eba8c53b319e45822e95c

Observation 964c0704-76c7-4320-b881-b383c3a0a0b8 · inbound

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation cites this paper.

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 47

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:41.487605Z digest=sha256:29f494ced3d61e8c72b5eb7b75764b660cd44c052b2cfc563c1b98a0aa9acc37

Observation 46d1b1a1-a08c-47a4-83e8-6ad9194131d5 · inbound

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models cites this paper.

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:10:37.600647Z digest=sha256:a9775309c4ff3261bfaa84da4d87309d63e3c441fbb0e6d9bd4a18b00ab98ca4

Observation 5c9dcfff-9dcf-4825-8583-9ac9f0ac2295 · inbound

Efficacy of AI RAG Tools for Complex Information Extraction and Data Annotation Tasks: A Case Study Using Banks Public Disclosures cites this paper.

Efficacy of AI RAG Tools for Complex Information Extraction and Data Annotation Tasks: A Case Study Using Banks Public Disclosures TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 4

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source=pdf_text observed=2026-08-06T12:54:08.798471Z digest=sha256:ed0b07be532773594c5e5cbae1ecaf23acd48c9a3a4b5c35c58a600d7af012fd

Observation ab6b0e1e-e692-4f57-970f-81b1d4366aee · inbound

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation cites this paper.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 48

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source=pdf_text observed=2026-08-06T04:30:49.603678Z digest=sha256:6a18d30956706db34433883e0c87ebc70892b367a1b137c1892d2f984b6eaef5

Observation 3e44307d-53f3-4d0e-b465-6a388a89af02 · inbound

PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint cites this paper.

PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 34

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source=arxiv_source observed=2026-08-04T17:22:09.000759Z digest=sha256:43e7e9d2febc7cdd79fc77fa8f6d1d40cadd4b457e2f810a062be16625bbdba1

Observation defb14ec-893f-43fe-ace7-c16ce498d518 · inbound

FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs cites this paper.

FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 32

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arxiv_id, observed 2026-05-21T21:04:21.643104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T21:01:59.463230Z digest=sha256:ecfaf1814c497d8194c738339311ee2f5c3ed49c13b4cd0fd62c58b741154bed

Observation 725371b0-b593-4443-b145-9f973bac691c · inbound

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA cites this paper.

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 34

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arxiv_id, observed 2026-05-18T04:55:54.047953Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T04:55:03.309430Z digest=sha256:e3c207e0e579ca5242fd4098f3a1238362487c98e4093edf3309b071520d690c

Observation 79935f2a-e490-4c74-b407-131154972778 · inbound

Attention Grounded Enhancement for Visual Document Retrieval cites this paper.

Attention Grounded Enhancement for Visual Document Retrieval TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 65

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arxiv_id, observed 2026-05-17T20:55:15.213580Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T20:53:15.920563Z digest=sha256:229a84e091fad213d1841c7f076bd18db79be78527fc1993745f2812f9832bb8

Observation d1b8af00-0693-4980-a83f-f5ac13a0cbb7 · inbound

When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents cites this paper.

When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 20

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no resolver link, observed 2026-08-03T01:12:32.805525Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:12:32.805525Z digest=sha256:a99de4121f1055f21a0b65d7c022feb137e65721fb8ca39828135d2416626f5b

Observation 1cd0d8aa-ee54-48ef-b60b-3b29c037708d · inbound

AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models cites this paper.

AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 2

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source=pdf_text observed=2026-08-03T02:44:05.697941Z digest=sha256:beaec267b19a3e8df5d4edc2171ced270896b015da8cb6814a8e059b532d238d

Observation 07adea44-7498-45da-8c33-5ec3a94e62df · inbound

FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use cites this paper.

FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 33

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source=pdf_text observed=2026-08-04T05:54:53.447880Z digest=sha256:87949ed0797c38337d815ff1657d77fe65a7da8ff5b5289d2b386429ade362fc

Observation c0b83158-fb3f-478a-8f55-2d2be1b92ff5 · inbound

INDOTABVQA: A Benchmark for Cross-Lingual Table Understanding in Bahasa Indonesia Documents cites this paper.

INDOTABVQA: A Benchmark for Cross-Lingual Table Understanding in Bahasa Indonesia Documents TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 2

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verified exact
arxiv_id, observed 2026-05-11T09:01:00.284429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:18:54.164434Z digest=sha256:acc1ad2bb10e554af275db10c2b030ed9ea62e0934ffb7436532c9fac2840828

Observation b4ad6760-9a36-465d-bc5e-a3baa1270fbd · inbound

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG cites this paper.

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 52

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verified exact
arxiv_id, observed 2026-05-11T10:51:04.052352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:17:27.749792Z digest=sha256:45ded63f1e72db2921c88e1e7c67a739d0fde16fc3d9e806f392a8ffd1435081

Observation c9027da6-47b4-4631-94ff-09102004db21 · inbound

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning cites this paper.

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:26:02.755188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-09T21:53:51.983234Z digest=sha256:71d448acb62f111e6164a4031a85f39ceff5728ba0c97f66dcc25b596e2a73b1

Observation 50c73c21-dc78-456b-a16a-c93b2da521e8 · inbound

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

The Power of Order: Fooling LLMs with Adversarial Table Permutations TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:06.394609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T19:39:34.361824Z digest=sha256:7481b66f7792be137536219ba114caf876cf281fa967540b06eea6af9c5d846c

Observation bd471b14-3da8-448f-ada5-88fca094902a · inbound

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

The Power of Order: Fooling LLMs with Adversarial Table Permutations TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:26:16.607767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T02:26:05.632437Z digest=sha256:32728d1bd94de50a17e4f07a1176cb1cdf064266db2080ea5233e77d6b183935

Observation c89f6071-4df7-41bf-81aa-fd3d8b223828 · 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 TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:56:26.959043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:31:52.536354Z digest=sha256:bc69cfa4bec37b8cd504363b15a1971734d264acd7abd77238cddfeed30fc3f0

Observation 7d9d5e4a-98c8-4168-ad49-d690004ec29d · inbound

Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain cites this paper.

Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:16:15.770338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T02:15:53.024591Z digest=sha256:172497ef396bd412dec0e86bcfa62a291d2355827da401e5a444708085d40943

Observation c9dfd96e-572c-40c1-afd8-4fc6e7a6d2d2 · inbound

FIND: Toward Multimodal Financial Reasoning and Question Answering for Indic Languages cites this paper.

FIND: Toward Multimodal Financial Reasoning and Question Answering for Indic Languages TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:42:58.837048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T20:24:46.503457Z digest=sha256:52d6f33079f4dec4b5aef89b0a44f40ad76c451da7825a2d9c568e39b9023c39

Observation 97924652-5466-4d0d-93dc-a33f62b9bc15 · inbound

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models cites this paper.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:32:36.148295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T14:32:01.939211Z digest=sha256:05eadbe77a182bfc81210ae638753618bf9fcbe2d4698f516aab4bcf933e500d

Observation 2a9e7a2e-47d3-4455-93a1-a92bb4c0be08 · inbound

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models cites this paper.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:45:23.468398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T05:44:59.785603Z digest=sha256:cbc1d82f39957c204ddfbdd509c695c398c3d25fead59d23a05f697314daa9e5

Observation b6218b5f-e92e-4a0b-aa3f-121aafeed256 · inbound

Design and Report Benchmarks for Knowledge Work cites this paper.

Design and Report Benchmarks for Knowledge Work TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-05-25T04:40:23.436724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-25T04:39:14.319133Z digest=sha256:37610c40af45db5031c2bc989108394c781b34a68283e909fe446c8b60c33e8e

Observation d607b99c-449f-4e20-91f6-68329b24811d · inbound

BlueFin: Benchmarking LLM Agents on Financial Spreadsheets cites this paper.

BlueFin: Benchmarking LLM Agents on Financial Spreadsheets TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:06:12.333431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T21:35:45.197423Z digest=sha256:705564f461065ecb644a75ecec2872f8b0b400d6c6f225ad5539029a52dc938e

Observation 117f0cc5-3636-4ff7-aef3-fa8454790d5f · inbound

A Primer in Post-Training Reasoning Data: What We Know About How It Works cites this paper.

A Primer in Post-Training Reasoning Data: What We Know About How It Works TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:06:20.518308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T14:40:21.583101Z digest=sha256:20c01107481f5f3cc25fc74681d3796d09c76d1a7f58589c0136537c69e4ddab

Observation 09e6725d-a3d2-41d0-afa9-f05df8cd0819 · inbound

LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents cites this paper.

LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:24:22.463496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T07:15:01.669896Z digest=sha256:0874d4163c04bc4ebcf1f43f8e2af11a263b8bc45e7ecfadb7e3c569443e3178

Observation 21b24133-4bb2-46bd-98f6-dee3106fee38 · inbound

CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning cites this paper.

CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 128

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.599531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-01T05:33:52.027771Z digest=sha256:a7ffea799483cd5b7145f10f1fa4a7bfda1c9ed1b00f89a8a6685a9f352a95df

Observation 1b7130e6-538e-4e4e-bb04-d8d6566e9adf · inbound

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition cites this paper.

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T02:55:23.435160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:55:23.435160Z digest=sha256:5af80284e98b2521bd2ae917bd3db15e903cf331ada12eea8f891c221e11d0e6

Observation 95686e04-03df-4f1a-8aa2-171cce2eaeb4 · inbound

Hierarchical Reranking for Scalable Financial RAG System cites this paper.

Hierarchical Reranking for Scalable Financial RAG System TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T06:25:06.308391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:25:06.308391Z digest=sha256:c50d575f60dc0d6bce98bdbf7a3610343fb72d53e1bac51dde90c4ade3e6a9e3

Observation 42a7500a-9b27-4ba5-b9bb-d96447bfe60d · inbound

V-FiLLM: Verified Financial LLM Reasoning Benchmark cites this paper.

V-FiLLM: Verified Financial LLM Reasoning Benchmark TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.609994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.609994Z digest=sha256:2c065c9b361a884b645e67335a94499c17d926586dc7ddc18e3def73cbe433f9