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Paper Citation Record · LEDGER

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model

As of 18 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2501.01014.

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

pith.paper-citation-record.v1
2501.01014 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:39:59.032156Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

67 of 67 outbound references displayed

  • verified exact11
  • verified fuzzy4
  • unresolved49
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2cd42f8f-a969-4523-ba3b-2331021d8a5a · outbound

This paper cites DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e0afc7db-fa52-45c8-a10c-514c74642818 · outbound

This paper cites InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.724823Z digest=sha256:56f59f9b5ca54d605a5fa45017bab02a06967faa488134048d64040c275a9c83

Observation f05acb26-d8a1-4ada-bd20-43569dd12eda · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.729936Z digest=sha256:e86560dc20421f5a44f37df243c7a35bd2c0c2ec30b7ac7ce67aacc9631af31c

Observation 0603760c-9a5e-48de-be18-fb4cb4c62108 · outbound

This paper cites HAIChart: Human and AI Paired Visualization System.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model HAIChart: Human and AI Paired Visualization System

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.734919Z digest=sha256:f791e0732b29a7f81a580520b60678226c243095125da39e6981a44ed76e0237

Observation 2cc2aee6-7ec5-4c5a-b3d7-c9b23004e2de · outbound

This paper cites Are Large Language Models Good Statisticians?.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Are Large Language Models Good Statisticians?

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.740022Z digest=sha256:bdfea694fe65de7e5f2eee2caa7dffd851b470ed9ceb306a2af108bde34ea133

Observation b7f3196d-04aa-47f1-8999-7b57a8f9e288 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-10T22:39:58.745118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.745118Z digest=sha256:5c83d3cf6d053b2b54ca66cacbd8b8aa3bd00b3af11035bf48869c3f5c373e0b

Observation 5e4fa94c-7327-4c82-91a6-bae31357304b · outbound

This paper cites DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T22:39:58.750533Z digest=sha256:4309a6bf2d0cf6572ff23ee5bc6129e8d22883769720e13c28d322bdc881311f

Observation 363a10d2-6360-442d-94d2-6bd7ccbb913f · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.755449Z digest=sha256:0a0136d022e91351789f8bdf67597ca5084bcdf8ad418aceb1def27ff0a2afff

Observation 00a8e193-1c95-4469-aab1-d471a1338ebb · outbound

This paper cites Singha, B.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Singha, B

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.760011Z digest=sha256:d910cffd6dc7463aab82dab306e86833df5193e64444518c60b088e2e0cea71a

Observation e10a1c20-fb80-47eb-a32d-1cb6d1f24e9b · outbound

This paper cites Gen4DS: Workshop on Data Storytelling in an Era of Generative AI.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Gen4DS: Workshop on Data Storytelling in an Era of Generative AI

Reference 10

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verified exact
local_arxiv, observed 2026-08-10T22:40:01.788634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.764734Z digest=sha256:e13e642e3dcd16930b8621d11984d1d9886340dbdab999ee80808ff586e70140

Observation 23d82e59-93d1-4911-9be9-ba7be3fec2f4 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.769811Z digest=sha256:71975d07993b9e32d306bd2bf4340ac1d7bca33afc0086675f167c66c54dc5ee

Observation a9b5c246-7d77-4bd9-98ba-9e04fb9a3038 · outbound

This paper cites Leveraging Foundation Models for Crafting Narrative Visualization: A Survey.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Leveraging Foundation Models for Crafting Narrative Visualization: A Survey

Reference 12

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T22:39:58.774233Z digest=sha256:9321fbc0ba0d291f3068f7f3b156846b0d7096f6d9f817e6787b741f9bc10227

Observation b5b875e7-40e4-42e8-bc61-a2f603d1d15b · outbound

This paper cites From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.778728Z digest=sha256:710f829dcd2b8251b66600804335a1630f9a250d25031a4e7b9e0db22324eb36

Observation 4eeca73e-f0d7-4f63-b153-d8748b6f4f66 · outbound

This paper cites Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.783416Z digest=sha256:2fb53c271a89abfc8d1c16291135c49d55b3a2bcd147344e33cb634c6d934e75

Observation 98dc28e4-dd40-46e3-a116-6ba5a828ab59 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-10T22:40:02.145513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.788022Z digest=sha256:372f1bc020903a90c4531bfc48c29415751498df4db3f8173c1be2ea131e386f

Observation ff295801-40ee-41c8-a83c-82de71217701 · outbound

This paper cites Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

Reference 16

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source=pdf_text observed=2026-08-10T22:39:58.792370Z digest=sha256:b3d9109768633ea4ae933e4477f62a9a1c9f2d8130abb6e44ab8b08f9acb7dc6

Observation 4dee1d8e-c2e9-451e-9fad-bfff1adf5954 · outbound

This paper cites SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.796960Z digest=sha256:91870294f720e5137d4777f6e306e3bdd29cc224c1acecb9d645797bd348259c

Observation f2e97012-f7c1-4341-916a-c2f96b363762 · outbound

This paper cites Negative Generators of the Virasoro Constraints for the BKP Hierarchy.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Negative Generators of the Virasoro Constraints for the BKP Hierarchy

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.801877Z digest=sha256:54140197f474ddd5a2d8ac03e983210653c2c56e4a1f40feb7d0870f19ecaac1

Observation 722b4fc9-1dc9-4568-a062-54a1ffe4a844 · outbound

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

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 19

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source=pdf_text observed=2026-08-10T22:39:58.806721Z digest=sha256:ac52ee06683a70303be51e80baf5917393aa8e93462befff3cb4f6392a28ad25

Observation c6a52453-3233-4bc0-a756-20a74a9e46ec · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.811651Z digest=sha256:0a1b4f7463e2255aca85980f0de460e9120724e2a719fb828acbf912c495fedf

Observation 3b29d72d-2d9f-4432-ba53-873eb0795e77 · outbound

This paper cites Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration

Reference 21

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verified exact
local_arxiv, observed 2026-08-10T22:40:01.602468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.815977Z digest=sha256:62c63aa0299828579d0751ee0a35383a948bc788c047a9c72a547b6cb4a73aab

Observation 68d8f439-7569-47da-9fbe-b0f787c3996b · outbound

This paper cites Data Formulator: AI-powered Concept-driven Visualization Authoring.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Data Formulator: AI-powered Concept-driven Visualization Authoring

Reference 22

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verified exact
local_arxiv, observed 2026-08-10T22:40:01.578313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.820838Z digest=sha256:a28f629b803515cf79a0e2d49a65b6046b0895f4c2ca57b1fc479f97329c8fe0

Observation 5b95a88e-e1be-414e-bb67-2f5987d14eef · outbound

This paper cites Renda, M.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Renda, M

Reference 23

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source=pdf_text observed=2026-08-10T22:39:58.825269Z digest=sha256:3f48b31fa63984384f4be25f70b41808e9d9cc2cc30cd1d604d7bf202a3daaa1

Observation 19599d1b-361f-4a19-90c7-c2fa32af48ab · outbound

This paper cites Large Language Models are not Fair Evaluators.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Large Language Models are not Fair Evaluators

Reference 24

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source=pdf_text observed=2026-08-10T22:39:58.829405Z digest=sha256:486fdadb34a5bf9030fdb4593202bbde6d67bb092c223d8fca31dba28b022499

Observation 999bfe57-44b8-4436-9006-14a234725f93 · outbound

This paper cites Zheng, N.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Zheng, N

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.834011Z digest=sha256:ebb59838cdbbd041b7429d7cef36006747ed9bc11b0a16d5085dc64cc14d4c2e

Observation 9037d417-e262-45da-addb-1bfb32e72db8 · outbound

This paper cites Large Language Model Augmented Narrative Driven Recommendations.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Large Language Model Augmented Narrative Driven Recommendations

Reference 26

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source=pdf_text observed=2026-08-10T22:39:58.838550Z digest=sha256:1dcc1fb75a50d32dcb7147bc4fd379367ff4a7a287c0a595d13b8aed9a516f43

Observation 83487953-39d2-4350-8e17-e396cd86434b · outbound

This paper cites Zhao and N.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Zhao and N

Reference 27

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source=pdf_text observed=2026-08-10T22:39:58.843210Z digest=sha256:95364ec21697c089fb5909774cd16a8d8d1aa28e71f7143f915e07f81966f5a8

Observation 75e7c28d-ee80-4b1e-b739-650495e2de16 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.847642Z digest=sha256:6b11a1aa5ad4deac8e89114f0aa5cb4038fe1204e6ddaf6cb71f964bbdba1d82

Observation e7d54572-6e9b-4ab1-954d-24f1288ede0d · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-10T22:39:58.852278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.852278Z digest=sha256:15522c898bf86c4c1c74e395ef196cf8c9066bd6d90a644ca95ec83b41fb6464

Observation f2ca72cd-e065-474a-bc5d-862ad8379c05 · outbound

This paper cites Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow

Reference 30

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source=pdf_text observed=2026-08-10T22:39:58.856756Z digest=sha256:0bc6e8b06f56cee8e71914be9fd3659ba4cdc174aead766ceb76958dbac78ef4

Observation 58a9578d-b718-4326-8c18-40c85270f044 · outbound

This paper cites Holistic Cube Analysis: A Query Framework for Data Insights.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Holistic Cube Analysis: A Query Framework for Data Insights

Reference 31

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verified exact
local_arxiv, observed 2026-08-10T22:39:59.194264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.861679Z digest=sha256:8a6a8c012cb108c242aa525b12cb9602ead0803ffad296ece9322c65edf433d5

Observation 05a7043b-c378-479a-b0c5-406c492b8d4f · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.866322Z digest=sha256:3e7204b90920a42039e07d432c1efc0b688e0a1cd04c8d0324773180937347ae

Observation db3970a6-63d6-490e-95e9-9c41df5f16db · outbound

This paper cites Shen et al., Towards Natural Language Interfaces for Data Visualiza- tion: A Survey, IEEE Trans.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Shen et al., Towards Natural Language Interfaces for Data Visualiza- tion: A Survey, IEEE Trans

Reference 33

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source=pdf_text observed=2026-08-10T22:39:58.870946Z digest=sha256:c916a961bc0b5d7daf262753b2ce1e48b3d716b8435a1b5f8f1b1209d48ed101

Observation 2f0be11d-1b7c-4f52-acec-b4267d57a4d2 · outbound

This paper cites XInsight: eXplainable Data Analysis Through The Lens of Causality.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model XInsight: eXplainable Data Analysis Through The Lens of Causality

Reference 34

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verified exact
local_arxiv, observed 2026-08-10T22:40:01.081637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.875404Z digest=sha256:937c76f53d0965e79a5f48ae85629aa7e3b196542944f6de4ad7123d18aa2f1c

Observation 1f0e626f-e64d-4ad1-8c48-9dc5242216b9 · outbound

This paper cites Maddigan and T.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Maddigan and T

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.879998Z digest=sha256:c20bb617dc2a6b74daed5c99754a437667f58d2ba262bb815a8c4167f4e46676

Observation 03d34868-b4b8-41e9-bda6-ee998a205b6e · outbound

This paper cites Harris et al., SpotLight: Visual Insight Recommendation, in Compan- ion Proceedings of the ACM Web Conference 2023, Austin TX USA: ACM, Apr.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Harris et al., SpotLight: Visual Insight Recommendation, in Compan- ion Proceedings of the ACM Web Conference 2023, Austin TX USA: ACM, Apr

Reference 36

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source=pdf_text observed=2026-08-10T22:39:58.884332Z digest=sha256:6cd340854268d0da7df99000fe1ed5bea4f839053365509ad70738e5113a66b8

Observation d49f76a4-b683-4a76-9e4c-d6721a13a1fb · outbound

This paper cites Li et al., NetworkNarratives: Data Tours for Visual Network Ex- ploration and Analysis, in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Apr.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Li et al., NetworkNarratives: Data Tours for Visual Network Ex- ploration and Analysis, in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Apr

Reference 37

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source=pdf_text observed=2026-08-10T22:39:58.888628Z digest=sha256:0efaa213718684a330f63e31c72c6c8f833c262ca7bd35d5172218e7359d6180

Observation 2c362945-6310-44a4-a553-cbf0a23336fc · outbound

This paper cites Zhao et al., ChartStory: Automated Partitioning, Layout, and Cap- tioning of Charts into Comic-Style Narratives, IEEE Trans.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Zhao et al., ChartStory: Automated Partitioning, Layout, and Cap- tioning of Charts into Comic-Style Narratives, IEEE Trans

Reference 38

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source=pdf_text observed=2026-08-10T22:39:58.893020Z digest=sha256:8ea4f11566c31ec4e3d458ad7f49566705f2a0b1fb4052182d834c6b81216c13

Observation 36b61237-8c7e-46a1-b546-5aa35e4dfee6 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 39

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.897616Z digest=sha256:67895406cd511509abdbb577890ee7db9c696aed2a0d93253143dfa6eb02befd

Observation 86b32165-fa29-4cc3-830d-5212cd9c7062 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.902307Z digest=sha256:8255510f3215b9b9dbff6fafcef9e05cf5443322045a6da90215c455da4da35f

Observation 88920406-6946-4344-9aee-1a3565fdda9a · outbound

This paper cites Gkitsakis, S.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Gkitsakis, S

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.906876Z digest=sha256:5cce23e49b74b8fdc26f19645ac1676b36bb11d91b1fb736d4a41320eca28425

Observation 5e55e71d-ea71-43a6-8647-af6e558abaff · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Scaling Instruction-Finetuned Language Models

Reference 42

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source=pdf_text observed=2026-08-10T22:39:58.911569Z digest=sha256:320565e642ae11b9b5215a2073c0e889da35d65ef52540e09edbd03012625729

Observation fc146317-722d-4d8f-8caf-acb4ec9e0441 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-10T22:39:58.916642Z digest=sha256:685fa579ae0fcf996bc25a3416e978f1708c57c3a4abc5312e6fa6c5da5ddcb5

Observation 226d2dbe-bc99-4981-8169-e1fb738aa185 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.921644Z digest=sha256:0393217a78b0c99a0ea1a48bb7eab6bf018deb248316407b2b51cc9eb70bcf8a

Observation 2ad916c4-7dab-4968-88cd-9128eec4baac · outbound

This paper cites Zhang, M.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Zhang, M

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.926535Z digest=sha256:5dd15d95de1fc7c42bd783492161845fe52843b6a4bf5564e7ae4352a67c67a3

Observation 253fc4b1-0e8f-4f85-a266-e51293c245df · outbound

This paper cites DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning

Reference 46

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local_arxiv, observed 2026-08-10T22:39:59.123610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.931217Z digest=sha256:043eda845404ffbe7674ed03887a3693be6bc1e07fb062e256634d16ee15b5c2

Observation adb544d3-da8c-4117-93cb-5db5c1ad55cc · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-10T22:39:58.936332Z digest=sha256:f8d74dfd5b85f3045c4f11c9539e9cb63d911d3a941e04240f7db198046ee5c0

Observation ff0574f4-69ba-443a-b476-41f51b931eec · outbound

This paper cites A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis

Reference 48

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local_arxiv, observed 2026-08-10T22:40:00.248744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.940877Z digest=sha256:d567b82fa449b3eb92e0882c324a7b21a72fe27372d36628d087d72d038dc58e

Observation 5de2def0-8a77-4288-82d3-8eab061510ce · outbound

This paper cites Zdanovic, T.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Zdanovic, T

Reference 49

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source=pdf_text observed=2026-08-10T22:39:58.945612Z digest=sha256:22ff0f58e3ce29902f275dd91870089f9137b1e0a63af6547289714024e16d5d

Observation c8f6c36b-3a71-46c4-a219-3cb05b589c22 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 50

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.950385Z digest=sha256:97e638baca94b200547c45881422f97648ce9a410335e6200fc002a81d66e4b3

Observation 44952741-fa25-40a2-bab2-9a5124213b75 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-10T22:39:58.954891Z digest=sha256:680a6a78777357fada248e18bd8da6304c1319b88eaf59c470b060e1e1597fe4

Observation 10adea4b-2929-433d-89cc-b21c136c9c94 · outbound

This paper cites Hsu, Y .-W.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Hsu, Y .-W

Reference 52

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no resolver link, observed 2026-08-10T22:39:58.959323Z

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source=pdf_text observed=2026-08-10T22:39:58.959323Z digest=sha256:339c05aecf32478061ffc49f54bcf3dac621c27345103cb689efa3bfd1a39f01

Observation a1d2618d-63cf-4c09-a78d-e23d7c9019df · outbound

This paper cites MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation

Reference 53

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.963908Z digest=sha256:d05d21b65ed7048ec8e2fd4cd7c407835d2736248b599c062b963cbd941f6a75

Observation c1363650-bd8a-4665-9f08-11c37b162078 · outbound

This paper cites Personnaz, S.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Personnaz, S

Reference 54

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raw_fallback, observed 2026-08-10T22:39:59.978168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.968689Z digest=sha256:87f54a574d6d06b8fbdbcc2a7a223bac7b27fa8d2f063bc7b6395a09d36e5477

Observation a4c648d9-be84-4e41-99e8-384e9e484aa1 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-10T22:39:58.973333Z digest=sha256:d8e7fafabc17b30dab7edcd2963d5f80030776642bcd60a0436cff755490f8a4

Observation 4db6efb6-708f-4ad5-8000-bb2c0bf4c710 · outbound

This paper cites Sultanum, F.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Sultanum, F

Reference 56

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source=pdf_text observed=2026-08-10T22:39:58.978134Z digest=sha256:b6b90023cd9cb8a9d66cdb80ef7fbdd1ee9a7e79268936b06558576f563a481d

Observation c3e50ec6-cf73-46b2-b4df-b5980d6088e4 · outbound

This paper cites Srinivasan, N.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Srinivasan, N

Reference 57

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source=pdf_text observed=2026-08-10T22:39:58.982838Z digest=sha256:134ee410395bbef665e908357b601980a69ac7a22b547f0205a692f7bc688b03

Observation 0bbc05b3-69a4-4b68-b3c8-d92126a687c4 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-10T22:39:58.987494Z digest=sha256:8c73499b47bc73c4411da0acb2b077390edd5c84198807d533507227eef3a34e

Observation 2d7fcd49-8227-4e59-80cc-168e0cf2f2e5 · outbound

This paper cites Wu et al., Ai4vis: Survey on artificial intelligence approaches for data visualization, IEEE Transactions on Visualization and Computer Graphics, 2021.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Wu et al., Ai4vis: Survey on artificial intelligence approaches for data visualization, IEEE Transactions on Visualization and Computer Graphics, 2021

Reference 59

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.992057Z digest=sha256:95b37095cb5b2b869b86b974c7f575685bf42b81261ff4c5e9464aad59bf5e4f

Observation 9d254443-79a3-4a0d-b478-993fbfb6cd7c · outbound

This paper cites Li et al., Exploring the” Double-Edged Sword” Effect of Auto-Insight Recommendation in Exploratory Data Analysis., in IUI Workshops, 2021.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Li et al., Exploring the” Double-Edged Sword” Effect of Auto-Insight Recommendation in Exploratory Data Analysis., in IUI Workshops, 2021

Reference 60

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raw_fallback, observed 2026-08-10T22:40:02.045102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:39:58.996850Z digest=sha256:a6e852b43b7fd3d5c25cd349c34215dc5875113089fdab7eab1d75c92d3821a2

Observation 387242ac-7420-4edd-bf47-40f8861fd203 · outbound

This paper cites HTLM: Hyper-Text Pre-Training and Prompting of Language Models.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Reference 61

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source=pdf_text observed=2026-08-10T22:39:59.001800Z digest=sha256:dc7f44dbe07e82c84dd56e7ea468b57a185cfb5739d148d4bda1b3168522a7e5

Observation 4c70c1ed-c2d7-4140-a425-9e52b0d71356 · outbound

This paper cites Language Models are Few-Shot Learners.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Language Models are Few-Shot Learners

Reference 62

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source=pdf_text observed=2026-08-10T22:39:59.006652Z digest=sha256:09eea8ef21fa8e784c8d7872b4d8e7a8e29808293c071200a1162f8d7bc95b6f

Observation d339f03f-9b91-46a3-a0bf-6f30dff0f5d0 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-10T22:39:59.011180Z digest=sha256:b13aedc30b69a1ab2af6b75c92c61a66a364359ca9a3d6041cf36c1b29294626

Observation c7d99485-7bd5-4f17-90d3-84f022ac9306 · outbound

This paper cites Milo and A.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Milo and A

Reference 64

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:59.016253Z digest=sha256:154a2db93bd8d5340425091cd55c7f252e6b40d3259d175ddf61636f71bda3c2

Observation cbe9bf3b-97e8-4657-b2df-7667ebedba9a · outbound

This paper cites Wang et al., DataShot: Automatic Generation of Fact Sheets from Tabular Data, IEEE Transactions on Visualization and Com- puter Graphics, vol.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Wang et al., DataShot: Automatic Generation of Fact Sheets from Tabular Data, IEEE Transactions on Visualization and Com- puter Graphics, vol

Reference 65

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:59.021627Z digest=sha256:0d3253ffa1be83c323338d42e79203b7088961c766a16fec2308b778229aacaf

Observation 4a5953ac-9530-42a2-87ab-ee1455497e78 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 66

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no resolver link, observed 2026-08-10T22:39:59.027138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:59.027138Z digest=sha256:c2ab759f2c12a4ad96f225c7c01fffdbaac721ab95f1d558dda1c52195dcad22

Observation a0a0ac15-f104-4635-abaf-0ad36d8b6b69 · outbound

This paper cites an unresolved cited work.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Unresolved cited work

Reference 67

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T22:39:59.032156Z digest=sha256:2384a595d9e705816f561ef69ca819c1006de51cf509c6530e77b2d3c4dca493

Pith citing papers

No inbound Pith citation observations are available.