From Table to Cell: Attention for Better Reasoning with TABALIGN | Paper Citation Record

Observation a06a0690-0e17-4e1e-a097-8c2fa4d3c7d1 · outbound

This paper cites Adapting autoregressive vision language models for parallel diffusion decoding.

From Table to Cell: Attention for Better Reasoning with TABALIGN Adapting autoregressive vision language models for parallel diffusion decoding

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.175222Z

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Observation 2c1ed567-6d92-4271-8685-b1775ed7a2b6 · outbound

This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

From Table to Cell: Attention for Better Reasoning with TABALIGN Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.137654Z

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Observation bdbdd69a-fd36-48c0-8663-a6029e946f14 · outbound

This paper cites an unresolved cited work.

From Table to Cell: Attention for Better Reasoning with TABALIGN Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-15T09:40:24.030677Z

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Observation 8ae33cb8-72bb-4cb2-9cf0-f1448456e575 · outbound

This paper cites Qwen3-VL Technical Report.

From Table to Cell: Attention for Better Reasoning with TABALIGN Qwen3-VL Technical Report

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.303853Z

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Observation 56147d8f-59e4-4a9e-bb83-a28a5b3caa2e · outbound

This paper cites Qwen2.5-VL Technical Report.

From Table to Cell: Attention for Better Reasoning with TABALIGN Qwen2.5-VL Technical Report

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.289146Z

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Observation cd528579-da7d-4300-a9e6-70ecbbc8b7b2 · outbound

This paper cites Planner and executor: Collaboration between discrete diffusion and auto-regressive models in reasoning.

From Table to Cell: Attention for Better Reasoning with TABALIGN Planner and executor: Collaboration between discrete diffusion and auto-regressive models in reasoning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.086194Z

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Observation 4680be7c-4435-472f-b07e-17454b447905 · outbound

This paper cites LLaDA2.0: Scaling Up Diffusion Language Models to 100B.

From Table to Cell: Attention for Better Reasoning with TABALIGN LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.331933Z

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Observation d441089c-3027-475d-a1d3-ce237f22b00e · outbound

This paper cites CQA-Eval: Designing Reliable Evaluations of Multi-paragraph Clinical QA under Resource Constraints.

From Table to Cell: Attention for Better Reasoning with TABALIGN CQA-Eval: Designing Reliable Evaluations of Multi-paragraph Clinical QA under Resource Constraints

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.307022Z

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Observation 5c0896f5-9f4c-449d-a603-52e217f7ed64 · outbound

This paper cites Tabfact: A large-scale dataset for table-based fact verification.

From Table to Cell: Attention for Better Reasoning with TABALIGN Tabfact: A large-scale dataset for table-based fact verification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.062040Z

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Observation 8199ab2b-abf8-41be-bd90-b79acdfbcfc2 · outbound

This paper cites HiTab: A hierarchical table dataset for question an- swering and natural language generation.

From Table to Cell: Attention for Better Reasoning with TABALIGN HiTab: A hierarchical table dataset for question an- swering and natural language generation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.072749Z

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Observation 52e06809-5f03-448d-8ef1-a95118fbf87e · outbound

This paper cites doi: 10.18653/v1/2022.acl-long.78.

From Table to Cell: Attention for Better Reasoning with TABALIGN doi: 10.18653/v1/2022.acl-long.78

Reference 11

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.142276Z

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Observation 93b6276a-a770-477a-bf1a-6038198a5bf0 · outbound

This paper cites Planu: Large language model reasoning through planning under uncertainty.

From Table to Cell: Attention for Better Reasoning with TABALIGN Planu: Large language model reasoning through planning under uncertainty

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.058611Z

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Observation 65806ae5-af5c-4511-bb40-dd786c2071ab · outbound

This paper cites Theoretical ben- efit and limitation of diffusion language model.

From Table to Cell: Attention for Better Reasoning with TABALIGN Theoretical ben- efit and limitation of diffusion language model

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.093655Z

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Observation cb7c02cc-481d-4fdf-ad84-894981b2402e · outbound

This paper cites Scaling diffusion language models via adaptation from autoregressive models.

From Table to Cell: Attention for Better Reasoning with TABALIGN Scaling diffusion language models via adaptation from autoregressive models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.130286Z

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Observation d0efd101-16c4-4d6e-9604-ee95958f1b8d · outbound

This paper cites Gemini 3 flash.

From Table to Cell: Attention for Better Reasoning with TABALIGN Gemini 3 flash

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.117552Z

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Observation 661b423c-ca23-4f64-b9cb-4b52127c3a9a · outbound

This paper cites The Llama 3 Herd of Models.

From Table to Cell: Attention for Better Reasoning with TABALIGN The Llama 3 Herd of Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.276459Z

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Observation 5711d0b3-54eb-43a2-a454-699a94ad8755 · outbound

This paper cites Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search.

From Table to Cell: Attention for Better Reasoning with TABALIGN Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:05:40.052578Z

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Observation 2ed36413-48ed-4b42-9c5f-2e4b98252092 · outbound

This paper cites INFOTABS: Inference on tables as semi-structured data.

From Table to Cell: Attention for Better Reasoning with TABALIGN INFOTABS: Inference on tables as semi-structured data

Reference 18

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.124321Z

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Observation d7dba57d-edab-4101-b06f-dab5bd1ebf24 · outbound

This paper cites UltraLLaDA: Scaling the context length to 128k for diffusion large language models.

From Table to Cell: Attention for Better Reasoning with TABALIGN UltraLLaDA: Scaling the context length to 128k for diffusion large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.121431Z

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Observation fe411f29-64a7-44f9-bcb4-1609371a0595 · outbound

This paper cites an unresolved cited work.

From Table to Cell: Attention for Better Reasoning with TABALIGN Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-15T09:40:24.110247Z

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Observation 1cc69214-dbb9-47b4-9f51-924c9df3eb1b · outbound

This paper cites TaPas: Weakly supervised table parsing via pre-training.

From Table to Cell: Attention for Better Reasoning with TABALIGN TaPas: Weakly supervised table parsing via pre-training

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.125596Z

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Observation 03b7e9db-3fd2-4b81-9b59-3bb66fee257f · outbound

This paper cites T a P as: Weakly Supervised Table Parsing via Pre-training.

From Table to Cell: Attention for Better Reasoning with TABALIGN T a P as: Weakly Supervised Table Parsing via Pre-training

Reference 22

Resolution: metadata mismatch; doi, observed 2026-05-15T01:33:27.094532Z

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Observation 365922a1-e30c-4daa-a565-6765a81d9f3b · outbound

This paper cites Tree-of- table: Unleashing the power of LLMs for enhanced large-scale table understanding.

From Table to Cell: Attention for Better Reasoning with TABALIGN Tree-of- table: Unleashing the power of LLMs for enhanced large-scale table understanding

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.113896Z

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Observation 9f830398-a57e-4482-89e3-1d4c1e1bacb5 · outbound

This paper cites Kakade, Timothy Ngotiaoco, Sitan Chen, and Michael Samuel Albergo.

From Table to Cell: Attention for Better Reasoning with TABALIGN Kakade, Timothy Ngotiaoco, Sitan Chen, and Michael Samuel Albergo

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.089940Z

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Observation 08edda20-deef-443f-ac06-7515c1eb4dc7 · outbound

This paper cites Tabddpm: modelling tabular data with diffusion models.

From Table to Cell: Attention for Better Reasoning with TABALIGN Tabddpm: modelling tabular data with diffusion models

Reference 25

Resolution: malformed identifier; arxiv_id, observed 2026-05-15T01:33:27.270208Z

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Observation 90904b69-761b-41a3-9e40-4fcccdd05b17 · outbound

This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.

From Table to Cell: Attention for Better Reasoning with TABALIGN In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 26

Resolution: malformed identifier; doi_truncated, observed 2026-05-15T01:33:27.106443Z

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Observation 9fb6f6c1-16e6-4c40-bcb2-8a8af4707c65 · outbound

This paper cites Enhancing Table Reasoning with Deterministic Table-State Rewards.

From Table to Cell: Attention for Better Reasoning with TABALIGN Enhancing Table Reasoning with Deterministic Table-State Rewards

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:02:08.952549Z

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Observation 46241965-397b-4d81-b7a8-756231a11d1c · outbound

This paper cites TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering.

From Table to Cell: Attention for Better Reasoning with TABALIGN TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.273482Z

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Observation 4d70a548-3cba-4555-b87d-9b620c996b9f · outbound

This paper cites Beyond fixed: Training-free variable-length denoising for diffusion large language models.

From Table to Cell: Attention for Better Reasoning with TABALIGN Beyond fixed: Training-free variable-length denoising for diffusion large language models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.166141Z

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Observation 363f79fd-af14-48ea-a911-e4b87aa82bfa · outbound

This paper cites Diffusion-LM improves controllable text generation.

From Table to Cell: Attention for Better Reasoning with TABALIGN Diffusion-LM improves controllable text generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.028116Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f9d8bbd7-00b5-4fcd-bbf5-d14ac11409eb · outbound

This paper cites an unresolved cited work.

From Table to Cell: Attention for Better Reasoning with TABALIGN Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-15T09:40:24.065715Z

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Observation a62e6290-9fab-4c5d-910b-39520b2e0b93 · outbound

This paper cites Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization.

From Table to Cell: Attention for Better Reasoning with TABALIGN Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-09T03:07:05.270276Z

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Observation 54445db7-fa3b-4f87-92ab-4afb7dcffc65 · outbound

This paper cites Let’s verify step by step.

From Table to Cell: Attention for Better Reasoning with TABALIGN Let’s verify step by step

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.069186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f9fe57c2-21fc-4128-ad72-a5e9c20e85ca · outbound

This paper cites CTSyn: A foundation model for cross tabular data generation.

From Table to Cell: Attention for Better Reasoning with TABALIGN CTSyn: A foundation model for cross tabular data generation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.051201Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 23de0e6b-772b-4463-806e-9a82dacb7296 · outbound

This paper cites Knowledge-Centric Hallucination Detection.

From Table to Cell: Attention for Better Reasoning with TABALIGN Knowledge-Centric Hallucination Detection

Reference 35

Resolution: metadata mismatch; doi, observed 2026-05-15T01:33:27.115672Z

Source-reported events for the cited work

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Observation c40bd2da-0061-4a75-adf0-ca79595c2e82 · outbound

This paper cites Louis, G.

From Table to Cell: Attention for Better Reasoning with TABALIGN Louis, G

Reference 36

Resolution: malformed identifier; doi_truncated, observed 2026-05-15T01:33:27.118524Z

Source-reported events for the cited work

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Observation 2e9b7ad7-7ac5-4fec-9e51-904a5089a27e · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.

From Table to Cell: Attention for Better Reasoning with TABALIGN Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:33:27.113212Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4f55a745-26c2-4f7a-a2d0-c885b6c61c03 · outbound

This paper cites AutoPSV: Automated process-supervised verifier.

From Table to Cell: Attention for Better Reasoning with TABALIGN AutoPSV: Automated process-supervised verifier

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.033653Z

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Observation ca349bb0-b903-4a25-8e30-7d072920ddad · outbound

This paper cites Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning.

From Table to Cell: Attention for Better Reasoning with TABALIGN Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.082097Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a3c3b6f9-5a71-4a12-81ac-95463882af97 · outbound

This paper cites an unresolved cited work.

From Table to Cell: Attention for Better Reasoning with TABALIGN Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-15T09:40:24.040795Z

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Observation fe70f3ea-ae6d-48ed-a6cc-0a7193e4b178 · outbound

This paper cites Ovis2.5 Technical Report.

From Table to Cell: Attention for Better Reasoning with TABALIGN Ovis2.5 Technical Report

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:30:17.288454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a914b777-068c-4c74-bcd4-043688a9e143 · outbound

This paper cites F e T a QA : Free-form Table Question Answering.

From Table to Cell: Attention for Better Reasoning with TABALIGN F e T a QA : Free-form Table Question Answering

Reference 42

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.099493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1e7feb67-e278-4c61-b6c7-9e05e0b996ba · outbound

This paper cites Interpretable LLM-based table question answering.Transactions on Machine Learning Research.

From Table to Cell: Attention for Better Reasoning with TABALIGN Interpretable LLM-based table question answering.Transactions on Machine Learning Research

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.044206Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 70c192e9-5631-4611-a1bb-f698ef5d2d4e · outbound

This paper cites Large Language Diffusion Models.

From Table to Cell: Attention for Better Reasoning with TABALIGN Large Language Diffusion Models

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.328873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2d3ea7e8-8e22-49d0-b792-2089cdff1b51 · outbound

This paper cites doi:10.3115/1073083.1073135 , editor =.

From Table to Cell: Attention for Better Reasoning with TABALIGN doi:10.3115/1073083.1073135 , editor =

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:33:27.087100Z

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Observation 8a572c45-ecd7-4401-822d-c02a6cf969a4 · outbound

This paper cites doi: 10.3115/v1/P15-1142.

From Table to Cell: Attention for Better Reasoning with TABALIGN doi: 10.3115/v1/P15-1142

Reference 46

Resolution: metadata mismatch; doi, observed 2026-05-15T01:33:27.135557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1f515c5c-36f9-40c2-b27e-71015d3290df · outbound

This paper cites Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis.

From Table to Cell: Attention for Better Reasoning with TABALIGN Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.322292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c3e685fb-94eb-412e-b203-f22b735dc32a · outbound

This paper cites Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents.

From Table to Cell: Attention for Better Reasoning with TABALIGN Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:33:27.258645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 609e3e3f-bd4f-4e48-ab4c-55968b7ec633 · outbound

This paper cites Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks.

From Table to Cell: Attention for Better Reasoning with TABALIGN Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks

Reference 49

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.097145Z

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No event found in the named queried sources as of 2026-08-06T21:38:19.14814+00:00.

Observation b2daa689-43f2-42b3-8011-6185023c5a3d · outbound

This paper cites Simple and effective masked diffusion language models.

From Table to Cell: Attention for Better Reasoning with TABALIGN Simple and effective masked diffusion language models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.037031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6f3abf5f-a14f-493e-8276-44ec01997e9c · outbound

This paper cites The diffusion duality.

From Table to Cell: Attention for Better Reasoning with TABALIGN The diffusion duality

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.047707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 26ea3cc7-f319-4c49-af3d-8e797e16714f · outbound

This paper cites Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.

From Table to Cell: Attention for Better Reasoning with TABALIGN Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:17:50.434871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 53fb01ae-8881-494e-abfe-013588be4e41 · outbound

This paper cites How Good are LLMs in Generating Personalized Advertisements? In Companion Proceedings of the ACM on Web Conference 2024, WWW ’24, pages 826–829, New York, NY , USA, May 2024.

From Table to Cell: Attention for Better Reasoning with TABALIGN How Good are LLMs in Generating Personalized Advertisements? In Companion Proceedings of the ACM on Web Conference 2024, WWW ’24, pages 826–829, New York, NY , USA, May 2024

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:33:27.103705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation afb453e8-a824-4d1f-9bf4-f2e7555a7f24 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

From Table to Cell: Attention for Better Reasoning with TABALIGN Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.267512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5153435b-af34-42c1-b5c3-359b85a86798 · outbound

This paper cites Francis Song, Noah Yamamoto Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, and Irina Higgins.

From Table to Cell: Attention for Better Reasoning with TABALIGN Francis Song, Noah Yamamoto Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, and Irina Higgins

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.076990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d8e86ed1-57cf-4762-9226-22ba75343942 · outbound

This paper cites Hippo: Enhancing the table understanding capability of llms through hybrid-modal preference optimization.

From Table to Cell: Attention for Better Reasoning with TABALIGN Hippo: Enhancing the table understanding capability of llms through hybrid-modal preference optimization

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:33:27.315280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 01bb68c3-650d-4fed-8d0c-a5b3a0a0b503 · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

From Table to Cell: Attention for Better Reasoning with TABALIGN Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 57

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.129795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 56cc29d4-4b66-499a-a91a-527c011a027f · outbound

This paper cites Diffusion LLMs can do faster-than-AR inference via discrete diffusion forcing.

From Table to Cell: Attention for Better Reasoning with TABALIGN Diffusion LLMs can do faster-than-AR inference via discrete diffusion forcing

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.055042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 367707c3-d9a1-421a-ba87-46314dce6d71 · outbound

This paper cites Chain- of-table: Evolving tables in the reasoning chain for table understanding.

From Table to Cell: Attention for Better Reasoning with TABALIGN Chain- of-table: Evolving tables in the reasoning chain for table understanding

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.170769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 733eac7f-7273-4500-bdc8-b1635bc4cab8 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

From Table to Cell: Attention for Better Reasoning with TABALIGN Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 60

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.147188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5a6fba1a-5b34-4489-982e-1dc4f646f2cb · outbound

This paper cites MMQA: Evaluating LLMs with multi-table multi-hop complex questions.

From Table to Cell: Attention for Better Reasoning with TABALIGN MMQA: Evaluating LLMs with multi-table multi-hop complex questions

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.162154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3dfc8f2f-0158-4a22-81d1-c592a4d6af9d · outbound

This paper cites an unresolved cited work.

From Table to Cell: Attention for Better Reasoning with TABALIGN Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-05-15T09:40:24.102483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6e6f3b88-38f7-41e6-8626-6a9c396b000f · outbound

This paper cites TableDART: Dynamic adaptive multi-modal routing for table understanding.

From Table to Cell: Attention for Better Reasoning with TABALIGN TableDART: Dynamic adaptive multi-modal routing for table understanding

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.106899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 12cbf012-25e3-46bf-8b58-86844b21f92a · outbound

This paper cites Unveiling the potential of diffusion large language model in controllable generation.

From Table to Cell: Attention for Better Reasoning with TABALIGN Unveiling the potential of diffusion large language model in controllable generation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.153661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation db29d2e9-e145-4155-b520-c92df3aab457 · outbound

This paper cites Visual planning: Let’s think only with images.

From Table to Cell: Attention for Better Reasoning with TABALIGN Visual planning: Let’s think only with images

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.157856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation db27bf74-7829-49a4-b654-9307f6b25bdb · outbound

This paper cites Qwen3 Technical Report.

From Table to Cell: Attention for Better Reasoning with TABALIGN Qwen3 Technical Report

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.335465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6eddf453-66fd-4a37-8b1f-f9a41f8d9f20 · outbound

This paper cites DARE: Diffusion Large Language Models Alignment and Reinforcement Executor.

From Table to Cell: Attention for Better Reasoning with TABALIGN DARE: Diffusion Large Language Models Alignment and Reinforcement Executor

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.295838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d6bf58c0-7830-4f4b-9976-8882b8811830 · outbound

This paper cites Tablegpt-r1: Advancing tabular reasoning through reinforcement learning.

From Table to Cell: Attention for Better Reasoning with TABALIGN Tablegpt-r1: Advancing tabular reasoning through reinforcement learning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:33:27.318776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7fcb1430-3991-4c19-a450-642c0febe55a · outbound

This paper cites Triples as the key: Structuring makes decomposition and verification easier in LLM-based tableQA.

From Table to Cell: Attention for Better Reasoning with TABALIGN Triples as the key: Structuring makes decomposition and verification easier in LLM-based tableQA

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.179419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b63d338-705b-46a3-85c9-f505148f112a · outbound

This paper cites Causality meets the table: Debiasing LLMs for faithful TableQA via front-door intervention.

From Table to Cell: Attention for Better Reasoning with TABALIGN Causality meets the table: Debiasing LLMs for faithful TableQA via front-door intervention

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.145576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c38e7431-5bc8-4736-b7eb-4ce780e3b12f · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

From Table to Cell: Attention for Better Reasoning with TABALIGN ReAct: Synergizing Reasoning and Acting in Language Models

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.300270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 111c3e3c-26cc-48f7-b423-003d99748636 · outbound

This paper cites Efficient gpt-4v level multimodal large language model for deployment on edge devices.Nature Communications, 16(1):5509.

From Table to Cell: Attention for Better Reasoning with TABALIGN Efficient gpt-4v level multimodal large language model for deployment on edge devices.Nature Communications, 16(1):5509

Reference 72

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.137714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 772068fc-a0f5-433e-a31e-f7ce10a48287 · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

From Table to Cell: Attention for Better Reasoning with TABALIGN Dream 7B: Diffusion Large Language Models

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:33:27.311183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1fc8163f-ff5c-4648-aaab-554a757005f5 · outbound

This paper cites Large language models are versatile decomposers: Decomposing evidence and questions for table-based rea- soning.

From Table to Cell: Attention for Better Reasoning with TABALIGN Large language models are versatile decomposers: Decomposing evidence and questions for table-based rea- soning

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:33:27.121981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ce22839e-1190-472e-a507-d7aca50d53f4 · outbound

This paper cites TaBERT: Pretraining for joint understanding of textual and tabular data.

From Table to Cell: Attention for Better Reasoning with TABALIGN TaBERT: Pretraining for joint understanding of textual and tabular data

Reference 75

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.139819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bd7a4250-1c37-4df5-afeb-1eeabd60e368 · outbound

This paper cites an unresolved cited work.

From Table to Cell: Attention for Better Reasoning with TABALIGN Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-05-15T09:40:24.141508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a5d30e79-7479-4734-a003-b12f11b0aa57 · outbound

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

From Table to Cell: Attention for Better Reasoning with TABALIGN TableLlama: Towards Open Large Generalist Models for Tables

Reference 77

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:33:27.325571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d02459f1-bd5b-4f7a-866b-56ab3cac6eba · outbound

This paper cites TableLLM: Enabling tabular data manipulation by LLMs in real office usage scenarios.

From Table to Cell: Attention for Better Reasoning with TABALIGN TableLLM: Enabling tabular data manipulation by LLMs in real office usage scenarios

Reference 78

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.126598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c16d5658-ada6-4d47-a7c3-c90e0fa5026f · outbound

This paper cites Zhang, Y ., Henkel, J., Floratou, A., Cahoon, J., Deep, S., and Patel, J.

From Table to Cell: Attention for Better Reasoning with TABALIGN Zhang, Y ., Henkel, J., Floratou, A., Cahoon, J., Deep, S., and Patel, J

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:33:27.132921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b1faf527-e316-482a-95ec-0cc877a70c0b · outbound

This paper cites Multimodal table understanding.

From Table to Cell: Attention for Better Reasoning with TABALIGN Multimodal table understanding

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.149638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8bd94247-76fb-4aa4-857f-fec35e88859f · outbound

This paper cites Multimodal Table Understanding.

From Table to Cell: Attention for Better Reasoning with TABALIGN Multimodal Table Understanding

Reference 81

Resolution: metadata mismatch; doi, observed 2026-05-15T01:33:27.091668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d6371525-a076-4143-b878-e9feb1c7326c · outbound

This paper cites Freeman, Frédo Durand, Eli Shechtman, and Xun Huang.

From Table to Cell: Attention for Better Reasoning with TABALIGN Freeman, Frédo Durand, Eli Shechtman, and Xun Huang

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:33:27.109950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5424696-2c78-4ad5-a2e5-715ea68a1ba6 · outbound

This paper cites TAT-QA: A question answering benchmark on a hybrid of tabular and textual content in finance.

From Table to Cell: Attention for Better Reasoning with TABALIGN TAT-QA: A question answering benchmark on a hybrid of tabular and textual content in finance

Reference 83

Resolution: verified exact; doi, observed 2026-05-15T01:33:27.144391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52fab051-5a41-4d38-8622-cf1165d94c9c · outbound

This paper cites CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models.

From Table to Cell: Attention for Better Reasoning with TABALIGN CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:04:26.071599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52257279-caff-4f8e-a4fc-542f9c553a5b · outbound

This paper cites TaTToo: Tool-grounded thinking PRM for test-time scaling in tabular reasoning.

From Table to Cell: Attention for Better Reasoning with TABALIGN TaTToo: Tool-grounded thinking PRM for test-time scaling in tabular reasoning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:40:24.098130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 93ff7dd0-d76c-470e-8e7b-27f159e04a3e · outbound

This paper cites an unresolved cited work.

From Table to Cell: Attention for Better Reasoning with TABALIGN Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-05-15T09:40:24.133725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation de2bead6-ff6c-4979-b10f-363335a96fa2 · outbound

This paper cites findings-emnlp.695/.

From Table to Cell: Attention for Better Reasoning with TABALIGN findings-emnlp.695/

Reference 87

Resolution: metadata mismatch; doi, observed 2026-05-15T01:33:27.089433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers