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Paper Citation Record · LEDGER

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2608.00018.

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

pith.paper-citation-record.v1
2608.00018 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T02:02:26.410742Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation bd756d7b-4393-4742-9042-02070270ad44 · outbound

This paper cites Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data

Reference 1

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source=pdf_text observed=2026-08-04T02:02:23.763275Z digest=sha256:825d0daa6808ce4661fec81f9274264fdda7dff74d2dad03f9ea1fb4043b375a

Observation 714680ab-e06d-4dd5-953b-13d504c018a5 · outbound

This paper cites Trust issues: Uncertainty estima- tion does not enable reliable ood detection on medical tabular data,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Trust issues: Uncertainty estima- tion does not enable reliable ood detection on medical tabular data,

Reference 2

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Observation b0cacf37-073f-4346-8669-81bbe4a39a60 · outbound

This paper cites Benchmarking spreadsheet systems,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Benchmarking spreadsheet systems,

Reference 3

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Observation 123742d9-9a22-4dfe-8d98-6489ff95d4f3 · outbound

This paper cites Overview and importance of data quality for machine learning tasks,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Overview and importance of data quality for machine learning tasks,

Reference 4

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Observation 5a861eaa-1ccb-4263-9630-a282b86f82f9 · outbound

This paper cites Data mining preparation: process, techniques and major issues in data analysis,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Data mining preparation: process, techniques and major issues in data analysis,

Reference 5

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Observation e3d360b8-db55-4bb4-90ac-a4707b96e2f6 · outbound

This paper cites Large language model for table processing: A survey,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Large language model for table processing: A survey,

Reference 6

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Observation b2bbd933-6bc9-479b-a7ee-4c9aaee98964 · outbound

This paper cites Jellyfish: A Large Language Model for Data Preprocessing.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Jellyfish: A Large Language Model for Data Preprocessing

Reference 7

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Observation e772b09b-bfd6-4fbd-b1b8-2825e17bac9a · outbound

This paper cites Table-llm-specialist: Language model specialists for tables using iter- ative fine-tuning,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Table-llm-specialist: Language model specialists for tables using iter- ative fine-tuning,

Reference 8

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Observation c0b3f172-ac50-4146-a831-40cedc4b3a6b · outbound

This paper cites Iterclean: An iterative data cleaning framework with large language models,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Iterclean: An iterative data cleaning framework with large language models,

Reference 9

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source=pdf_text observed=2026-08-04T02:02:24.098296Z digest=sha256:1b7bd954f31814e4b5efab201054b3b31f3fa3522f8412c6e7245fa1ab2396a3

Observation 5a659b93-ef57-4fb8-95d7-76242b6a9d2a · outbound

This paper cites Cocoon: Semantic table profiling using large language models,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Cocoon: Semantic table profiling using large language models,

Reference 10

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Observation bfd7102d-479e-4d89-b6d8-519c7e4f4a30 · outbound

This paper cites Retclean: Retrieval-based data cleaning using llms and data lakes,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Retclean: Retrieval-based data cleaning using llms and data lakes,

Reference 11

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Observation 172bb5eb-dcfa-4ebd-8696-354adb151384 · outbound

This paper cites A zero-training error correction system with large language models,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs A zero-training error correction system with large language models,

Reference 12

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source=pdf_text observed=2026-08-04T02:02:24.237831Z digest=sha256:9e89704c11b4172d1d15200c9072e9f9149154282ce3768bf5c6ae7d1b4fe598

Observation 81a38ad0-ff84-42b4-a8c4-0afb7fe5501e · outbound

This paper cites Tap4llm: Table provider on sampling, augmenting, and packing semi-structured data for large language model reasoning,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Tap4llm: Table provider on sampling, augmenting, and packing semi-structured data for large language model reasoning,

Reference 13

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Observation 0db0ab6b-0dd7-4ef1-9e8e-f0283ff3e56a · outbound

This paper cites Table-gpt: Table fine-tuned gpt for diverse table tasks,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Table-gpt: Table fine-tuned gpt for diverse table tasks,

Reference 14

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Observation d610d362-ddbd-45fb-bbfa-37ac360a2ea6 · outbound

This paper cites Tablellm: Enabling tabular data manipulation by llms in real office usage scenarios,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Tablellm: Enabling tabular data manipulation by llms in real office usage scenarios,

Reference 15

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Observation 174f2187-5b2c-4969-b7c2-09c532e4c452 · outbound

This paper cites Unidm: A unified framework for data manipulation with large language models,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Unidm: A unified framework for data manipulation with large language models,

Reference 16

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source=pdf_text observed=2026-08-04T02:02:24.382245Z digest=sha256:97a43a699352d13b1c1c43c322f9f4aed06cef7b1a19ca4ac9ee62ec4ea38aa7

Observation f602e49b-25a1-4ada-aa7c-b311a32adbdc · outbound

This paper cites CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models

Reference 17

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source=pdf_text observed=2026-08-04T02:02:24.456316Z digest=sha256:9cf313566155a6975c5e98f599f92920bd28a1052f446f723def89ccf9b6729a

Observation 1e1b6631-4eb7-4f92-88e6-9508b962dc98 · outbound

This paper cites On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Reference 18

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Observation 4d362a67-2658-4acf-8c00-ff0279205e1e · outbound

This paper cites Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts,

Reference 19

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Observation 344a4603-1f1b-446f-88c9-b2ff59c1fb1e · outbound

This paper cites Evaluating text-to-sql model failures on real-world data,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Evaluating text-to-sql model failures on real-world data,

Reference 20

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Observation 654c0c27-14ae-419f-a276-768da14d244b · outbound

This paper cites Spreadsheetbench: Towards challenging real world spreadsheet manipulation,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Spreadsheetbench: Towards challenging real world spreadsheet manipulation,

Reference 21

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source=pdf_text observed=2026-08-04T02:02:24.594794Z digest=sha256:b9765d875dc0236df35b44e04e33fed96261e7455b42eb447baa40719585aa3b

Observation 92fc8ac8-3bfe-4a22-8182-e1e3d71620a0 · outbound

This paper cites Sheetagent: towards a generalist agent for spreadsheet reasoning and manipulation via large language models,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Sheetagent: towards a generalist agent for spreadsheet reasoning and manipulation via large language models,

Reference 22

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Observation 23d57a55-fd37-44de-b31b-d1c211e8e885 · outbound

This paper cites AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 23

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Observation 9da3e50f-bed5-4a35-9d4c-bcdcfb29b3f4 · outbound

This paper cites Datagovbench: Benchmarking llm agents for real-world data governance workflows,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Datagovbench: Benchmarking llm agents for real-world data governance workflows,

Reference 24

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source=pdf_text observed=2026-08-04T02:02:24.740787Z digest=sha256:1bce9c63d7c5b040d84df7c782942c82b04c661b6e37c323c765a4a14f64336c

Observation 29767ef8-07e4-4400-a225-3f8b76b33b0e · outbound

This paper cites Compositional Semantic Parsing on Semi-Structured Tables.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Compositional Semantic Parsing on Semi-Structured Tables

Reference 25

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Observation cd7e1f2e-0a50-4815-b429-1fb8a3ce9e01 · outbound

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

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 26

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Observation 656de7d2-4267-4caf-8a73-b96f76c1d2e0 · outbound

This paper cites Sheetcopilot: Bringing software productivity to the next level through large language models,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Sheetcopilot: Bringing software productivity to the next level through large language models,

Reference 27

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Observation eea4f836-1d92-4f9e-9336-14a0497f3847 · outbound

This paper cites Wrangler: Interactive visual specification of data transformation scripts,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Wrangler: Interactive visual specification of data transformation scripts,

Reference 28

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Observation 0376c9fd-22f2-46c6-b891-65c3ab056975 · outbound

This paper cites Intercode: Stan- dardizing and benchmarking interactive coding with execution feed- back,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Intercode: Stan- dardizing and benchmarking interactive coding with execution feed- back,

Reference 29

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source=pdf_text observed=2026-08-04T02:02:25.093525Z digest=sha256:316cd4560b6abdbe704be1b3c48cb090c9d1607ff3bfb45e1bfa3d85b47087a0

Observation d4aba903-87b4-4028-b137-19244b34f62b · outbound

This paper cites Ds-1000: A natural and reliable benchmark for data science code generation,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Ds-1000: A natural and reliable benchmark for data science code generation,

Reference 30

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Observation 80bb2fab-1604-4083-91f4-1d1d79212355 · outbound

This paper cites Tablebench: A comprehensive and complex benchmark for table question answering,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Tablebench: A comprehensive and complex benchmark for table question answering,

Reference 31

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source=pdf_text observed=2026-08-04T02:02:25.247961Z digest=sha256:0e22476ef8742e23f8930c07b61775752db91e2d6f67529072d95e0b89b23faf

Observation ff6730cc-65c3-4663-9aa9-45732b1c002a · outbound

This paper cites Realhitbench: A comprehensive realistic hierarchical table benchmark for evaluating llm-based table analysis,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Realhitbench: A comprehensive realistic hierarchical table benchmark for evaluating llm-based table analysis,

Reference 32

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Observation 4bf0f05d-b4e0-4b06-85fd-58f0894b31bd · outbound

This paper cites Spreadsheetcoder: Formula prediction from semi-structured context,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Spreadsheetcoder: Formula prediction from semi-structured context,

Reference 33

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source=pdf_text observed=2026-08-04T02:02:25.390812Z digest=sha256:fd819c1a1d7a274df17ce3e104b352c11774a7c131952f65613ccc6ac98bf893

Observation 770b2ba7-be74-4068-93b4-c84a45d1c020 · outbound

This paper cites InstructExcel: A Benchmark for Natural Language Instruction in Excel.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs InstructExcel: A Benchmark for Natural Language Instruction in Excel

Reference 34

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Observation f5a3bfbd-a7ef-4e93-8a1a-626223eff658 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 35

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Observation 4633509a-84cc-45c2-bdf4-8e2933b16ea9 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 36

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source=pdf_text observed=2026-08-04T02:02:25.629189Z digest=sha256:3f54fe9526b7a2e0826a0604773b3198ddbd24b8e648d3e98f6ed2734320d0f4

Observation d742f155-ebfa-4348-9c78-f6068e7a937b · outbound

This paper cites DynaSaur: Large Language Agents Beyond Predefined Actions.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 37

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no resolver link, observed 2026-08-04T02:02:25.766495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:25.766495Z digest=sha256:d63637a5990b7a172a4f580802770d6935f6da79b6b2445fd2aea6d01210414c

Observation 378e043d-e845-4931-9adc-7ffc6bcb9e97 · outbound

This paper cites Codeassistbench (cab): Dataset & benchmarking for multi-turn chat-based code assis- tance,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Codeassistbench (cab): Dataset & benchmarking for multi-turn chat-based code assis- tance,

Reference 38

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no resolver link, observed 2026-08-04T02:02:25.825097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:25.825097Z digest=sha256:7ea626d9d56df31d47735849e839f9faf0d89f54e214a0563451ca4835fce54c

Observation 9a5bb880-d645-4644-bb41-fec033f6c5fa · outbound

This paper cites IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis

Reference 39

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no resolver link, observed 2026-08-04T02:02:25.908482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:25.908482Z digest=sha256:fde1d6d878a59c44bef84d7b15c07ed353fc9e6f97c96107e3bdd5c0b45eb647

Observation 59e10e46-5193-4893-8c77-cf204d9dd732 · outbound

This paper cites Learning to ask: When llm agents meet unclear instruction,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Learning to ask: When llm agents meet unclear instruction,

Reference 40

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no resolver link, observed 2026-08-04T02:02:25.968696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:25.968696Z digest=sha256:f2604a414acacf8a0e18d7693fd6bbc82637cf311aaf89a7802f2d7a501baf4c

Observation 569a5ceb-1326-4454-b0c1-6e8016778148 · outbound

This paper cites Clarifymt-bench: Benchmarking and improving multi-turn clarification for conversational large language models,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Clarifymt-bench: Benchmarking and improving multi-turn clarification for conversational large language models,

Reference 41

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no resolver link, observed 2026-08-04T02:02:26.083143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:26.083143Z digest=sha256:963abaca3cb5b0ca0c2693ece6ac5f7ce2b85112a99540ec4d60b46b85b85dea

Observation a740700d-089d-4f31-a57d-3319feaf15d3 · outbound

This paper cites Metagpt: Meta programming for a multi-agent collaborative framework,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Metagpt: Meta programming for a multi-agent collaborative framework,

Reference 42

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no resolver link, observed 2026-08-04T02:02:26.147012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:26.147012Z digest=sha256:019e6754877f53a81f02519860d34de2285b4e7c99bb12c873136fce6d01e41c

Observation dee2d82e-d316-40de-abb6-ffd977b64fe3 · outbound

This paper cites Camel: Communicative agents for.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Camel: Communicative agents for

Reference 43

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no resolver link, observed 2026-08-04T02:02:26.221744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:26.221744Z digest=sha256:cfcf4036fca5f00fba6fbb0703248b43317494bee033eabae6ee26a91db22e8d

Observation 7a47da4d-3147-46da-83ea-9aded52b7975 · outbound

This paper cites CleanAgent: Automating Data Standardization with LLM-based Agents.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs CleanAgent: Automating Data Standardization with LLM-based Agents

Reference 44

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no resolver link, observed 2026-08-04T02:02:26.305485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:26.305485Z digest=sha256:7cfb77a0fc691b88fc4de639288a730322f421d44a784d3b0891b21279c58597

Observation d2af742e-0cc9-41d3-ae1e-fdee3195647f · outbound

This paper cites Chatdev: Communicative agents for software development,.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs Chatdev: Communicative agents for software development,

Reference 45

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no resolver link, observed 2026-08-04T02:02:26.410742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:26.410742Z digest=sha256:c42509d8410680e3a0fdfe6497b76dbc41b02e0b87f403a9157c2f7bc95ffa59

Pith citing papers

No inbound Pith citation observations are available.