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Paper Citation Record · LEDGER

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects

As of 22 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2501.14717.

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

pith.paper-citation-record.v1
2501.14717 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:56:31.001606Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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  • unresolved54
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bde2168-0a16-4949-8368-8e7bbd1ddb99 · outbound

This paper cites online" 'onlinestring :=.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects online" 'onlinestring :=

Reference 1

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source=arxiv_source observed=2026-08-10T14:56:30.751437Z digest=sha256:f30da61594f73e7b92d3ebba639a3552c18a9bd5c880f49619f8d0ea05da3f29

Observation d2088da7-a30a-4793-9a17-e63893ac1438 · outbound

This paper cites write newline.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects write newline

Reference 2

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source=arxiv_source observed=2026-08-10T14:56:30.756919Z digest=sha256:d909f69b9bc33d465bd673c6e7b7d0c548670ff3438ac8d8a829e1c6a61cbe81

Observation 6645eddc-6843-4bf7-a8cb-0d25671e3f65 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 3

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source=arxiv_source observed=2026-08-10T14:56:30.762294Z digest=sha256:b774b469469c3579101ed3f26ed4066cba97209d015e990ca4e6c71ca3ffcd62

Observation b63fd9a1-b9ec-40d3-a59e-eb473a97abbc · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-10T14:56:30.767380Z digest=sha256:47103e9baaca198ec6b6f65f17070ee3320f63e0297ddbf8eade69265f3761c3

Observation 8e799850-1070-4883-9c45-6ec188c88528 · outbound

This paper cites How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Reference 5

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source=arxiv_source observed=2026-08-10T14:56:30.772280Z digest=sha256:fd391f667b593e42584fbc15202f5a16fcba4e25c29f7d74849cd9afd948a022

Observation e51b4731-9455-4834-b0ed-6b523a47375a · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 6

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9fc361d3-a4ae-4a35-afba-16fa138349ae · outbound

This paper cites Open Question Answering over Tables and Text.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Open Question Answering over Tables and Text

Reference 7

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Observation f41b17b7-2815-4489-bb1b-1ca0a24547bf · outbound

This paper cites TabFact: A Large-scale Dataset for Table-based Fact Verification.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 8

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source=arxiv_source observed=2026-08-10T14:56:30.786643Z digest=sha256:d58fbc1eaec4b2544fbad0c3299062d1525068e7a81fd90c2e4845504c8366fe

Observation 2ee4a651-1f7c-4852-812b-116fc134bdc6 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-10T14:56:30.791788Z digest=sha256:4838b7e42e474b949e74f003ea8c13aa2e4ee9e1d0dca9714e09c3a411531f8b

Observation f36c5e0e-b19a-4db4-bcfd-ffc3b678dc7a · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 10

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Observation f3f2883c-e675-44f4-a4cc-621aecd1290f · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 11

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Observation 5078aa24-22c0-4cab-a1a4-6711ff4be1a3 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 12

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Observation babb6745-0705-42c0-b309-696092ece5e3 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 13

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Observation 7cfa73c2-9149-49ec-a997-e0b435231d7b · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-10T14:56:30.814922Z digest=sha256:3f2e346d5e0b3e2c3f33d938fc72ea7f6516730e9cffb9f0e6f96f7d70d53e21

Observation da39a6aa-4817-4a58-b67f-b37a8ef8561a · outbound

This paper cites The Llama 3 Herd of Models.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects The Llama 3 Herd of Models

Reference 15

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source=arxiv_source observed=2026-08-10T14:56:30.820788Z digest=sha256:655a97df568f37babada8394a056f7311483b9a77e1e8b24ab6d3a2c13474086

Observation fac342c1-0d47-4a66-bd8c-2349f3b3a0a5 · outbound

This paper cites Key-Value Retrieval Networks for Task-Oriented Dialogue.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Key-Value Retrieval Networks for Task-Oriented Dialogue

Reference 16

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Observation 6f5616ea-0d6e-4ecb-878e-e20880fc6e57 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects OLMo: Accelerating the Science of Language Models

Reference 17

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Observation 39f247ce-a41b-4715-be28-166fa0c61712 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 18

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Observation 2402c0b5-76c7-4ed3-b0e1-51c30c3b7c5e · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 19

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Observation 6398160f-ffab-428e-b1c8-1ac6e95a6945 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 20

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Observation 5aa260e1-412f-4888-95d0-43bf9339f925 · outbound

This paper cites TabMCQ: A Dataset of General Knowledge Tables and Multiple-choice Questions.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects TabMCQ: A Dataset of General Knowledge Tables and Multiple-choice Questions

Reference 21

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Observation 77c8878c-8c0c-41bb-a9c0-6378846af7cc · outbound

This paper cites Mistral 7B.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Mistral 7B

Reference 22

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Observation 340de707-a3d7-4417-b6cd-7f844cd5c14d · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-10T14:56:30.857943Z digest=sha256:395a06d479e23df97b0f9328e934eee5ca8a97f4f0f140d3a9f94f1d5bba8870

Observation 01225450-66ea-46c8-84aa-bd2e0c731e5e · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 24

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Observation aefdb12a-931d-4598-a39d-54043738d15e · outbound

This paper cites Table-GPT: Table-tuned GPT for Diverse Table Tasks.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 25

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source=arxiv_source observed=2026-08-10T14:56:30.868124Z digest=sha256:1571d28bd693f229615e5cd22882806e5861f513281449333d31089f498bbbfb

Observation be1b4750-571c-42bc-8990-ff442402a3c2 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 691127aa-01a8-4bd5-975d-89fc8eb190a5 · outbound

This paper cites Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Reference 27

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Observation a58cb031-e6e7-41ad-b382-aba0eeaeae8a · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 01a027d6-e2fd-4bfd-a5d7-aaf4c3a2fcc4 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 29

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Observation 17eb129a-32ad-4940-a44a-00d869a09fa7 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 30

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Observation b5ac7fd4-d08e-41da-bb0c-ed0eed9fc5f4 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 31

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Observation 7bf20911-3ae2-41cc-b03e-17a373bd656a · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 32

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Observation fc8f8bc9-ded7-49bf-8734-fdb6ff3c668b · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 33

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Observation 042ffa3b-2aee-400f-8e7a-8be85550af0d · outbound

This paper cites TableGPT2: A Large Multimodal Model with Tabular Data Integration.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 34

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Observation d7b0ef8d-7d60-411c-b5cb-729c74f0b974 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T14:56:30.914477Z digest=sha256:acd0e3d527b6ad5aa088e167f0bb0d4610a93bb5e341504b91be4eaa3e709fd9

Observation d81d9bcc-0942-43e9-b454-dc6ef1d74c79 · outbound

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

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

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Observation 07bfbad8-6981-4fa8-9883-c15089b672f4 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 37

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Observation bf33f53f-a271-477d-b35d-a0731f28095b · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-10T14:56:30.928235Z digest=sha256:8ecf8bb30a5537ca31ac5e01b62f23a26d9df5b73a7c446e0a2a3e255760fe4e

Observation 39a12002-2966-4f23-ab5b-de4b4e9a5017 · outbound

This paper cites TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 39

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source=arxiv_source observed=2026-08-10T14:56:30.932779Z digest=sha256:43192b04b7a23ef20fbc52da30768780ca4fdeccb13a23f82826692766761a2e

Observation c478ab67-5394-4deb-b587-e146ff30b454 · outbound

This paper cites Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A

Reference 40

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source=arxiv_source observed=2026-08-10T14:56:30.937403Z digest=sha256:ce85739ace9a810b79f8b6ac2ee077502e88bee2e3c6e4ecf646a3af0e97246e

Observation 3dafef49-500a-4976-ba76-6d1625fe047d · outbound

This paper cites Qwen2 Technical Report.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Qwen2 Technical Report

Reference 41

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source=arxiv_source observed=2026-08-10T14:56:30.941690Z digest=sha256:4be915995d43c87eeb6b455cbd0cffd938f717f19233b5a344a09098be1eec51

Observation 802bd2d1-7713-412e-b533-cd6c81a042ec · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 42

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source=arxiv_source observed=2026-08-10T14:56:30.945887Z digest=sha256:af3f060edf4cbfece9c3a3c50a3a386e506cd5bed37ee50f28c2aae1ce9fba12

Observation d40899a7-8d3b-48cf-9ee4-9d12ec1acd98 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-10T14:56:30.950581Z digest=sha256:babeca04fba9038d0ce5d3e7dfd26299523489a3bf4da739fec373e250abeac2

Observation 3c4e2e39-c44c-4ec1-96c0-7d4a43677e27 · outbound

This paper cites TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Reference 44

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source=arxiv_source observed=2026-08-10T14:56:30.954947Z digest=sha256:d97f77e010e0778a15478f9d751ec38455242e4bbf45c0d0bc42d91664d5a3cb

Observation ddddf94b-43aa-4909-99cb-98e13773641b · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 45

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source=arxiv_source observed=2026-08-10T14:56:30.959588Z digest=sha256:d3a72a2fa47e868293efc542792f802da90e457fdaebe428d114e6d6115621d5

Observation 0ede6de4-8ca2-4f7c-8cc6-0b412e6b58f8 · outbound

This paper cites TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 46

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source=arxiv_source observed=2026-08-10T14:56:30.964048Z digest=sha256:040451c91edab2f0db13804e062fc94446b5791987f10a87ac6a2710eb66a3de

Observation fedd2006-8b9d-4818-99e4-afda8f2f6449 · outbound

This paper cites Multimodal Table Understanding.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Multimodal Table Understanding

Reference 47

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source=arxiv_source observed=2026-08-10T14:56:30.968740Z digest=sha256:71943639920c8b1c829a218a8af11bee8818c68b1cc9f211113208181b901bbe

Observation 21f8dfc9-6b20-4741-a53e-d302ac49f3f1 · outbound

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

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 48

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source=arxiv_source observed=2026-08-10T14:56:30.973161Z digest=sha256:45ed9c691f55a99cfe1deafcdc1d376abf9b02c797fc72f1f5ef5effd9ab679e

Observation fb7301f2-4a63-4cb4-9c5b-5900bef20ef3 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-10T14:56:30.977855Z digest=sha256:943d87b8e5b0516badfe1ba551121ecb6891d3743119fd806e058ed063bc7912

Observation c63e0aee-c700-4ded-b625-c5d472f2cab2 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Instruction-Following Evaluation for Large Language Models

Reference 50

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source=arxiv_source observed=2026-08-10T14:56:30.981959Z digest=sha256:bfa9d2c759aa64b9d87bbe9779c9c0a45a91be817b9a6233068bfa36d485512d

Observation 1c0b2b76-5b9c-43bc-b9f6-4927ca5355e9 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 51

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source=arxiv_source observed=2026-08-10T14:56:30.986849Z digest=sha256:d4cba01f1f3ea965d2182f55ee35ad7c0fdc1f98169ce6804a89f2c0d8e2bb20

Observation c4d0a4dd-8941-4f23-930e-0028b7757063 · outbound

This paper cites @esa (Ref.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects @esa (Ref

Reference 52

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source=arxiv_source observed=2026-08-10T14:56:30.991597Z digest=sha256:a76abdcc4732b3a9d04150862ee4e40798db52895640507b9f00f89d58961d2b

Observation 664a9ded-5792-4c7e-b18f-b67ba771dd64 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 53

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source=arxiv_source observed=2026-08-10T14:56:30.996795Z digest=sha256:551438bdb316d95c3c626c3fc55100df4c73b8db8bfa06f244049489830e51a2

Observation ea0f4951-ef75-4ed6-ae60-de7f76fc1020 · outbound

This paper cites an unresolved cited work.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects Unresolved cited work

Reference 54

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source=arxiv_source observed=2026-08-10T14:56:31.001606Z digest=sha256:d5a42188c5dc63352da58aedcb725f2c77ce00bf781f70d9eb1d6e460f6aa2c5

Pith citing papers

No inbound Pith citation observations are available.