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Paper Citation Record · LEDGER

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2505.23695.

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

pith.paper-citation-record.v1
2505.23695 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:47.901488Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T04:34:05.733204Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 4df51da0-ee68-4d43-b849-6d630707cde0 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:51.188769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.235822Z digest=sha256:ee7205278d0065f79356e74ec0111569b0b7974803179ca6f9c813bfa9fcbb73

Observation 2c70e631-0804-4dd4-8963-29250265353a · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:51.056736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.311316Z digest=sha256:b64a319de363021bfa7f568ed3c5b4026560e813a4a5e3674a96205f5c8a553e

Observation 3886d3c8-d975-4f71-81e0-a9f3d9b3c602 · outbound

This paper cites schraefel.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics schraefel

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:46.345012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:46.345012Z digest=sha256:7947c0d66b9b2244113442bab94493b3c67c670536604ac16d61f70e82a9fdd9

Observation 936b5e97-17af-4d0c-8fbb-c18ffce2ae12 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:50.890436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.389371Z digest=sha256:bc024750c064ceb1e23c9bb82a8580e5a30f0cb516090dd49ba6b8042182b992

Observation 6a4ba2bc-234c-4437-85a0-adf5b06a0189 · outbound

This paper cites Choudhary.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Choudhary

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:50.790048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.419855Z digest=sha256:d4561158d21792f1ef34c2975d57d11a6271089eff949e1b77ff633e2aa402e5

Observation 82c81778-1cad-4583-88b4-b626956664d5 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 6

Resolution
verified exact
doi, observed 2026-08-07T12:42:48.094614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.452450Z digest=sha256:304dbd0dd98c13a5cedb720ac66084ad9c690eb8743dab9cbc28336d120dd637

Observation 5217163c-917b-49b2-9448-edc4a49c8149 · outbound

This paper cites LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:46.472940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:46.472940Z digest=sha256:3326c52bd3c505c215c2017796d9d79fc8196fb321ee17ae440864283ba55314

Observation 755fab8d-5605-436a-b876-739b654835c0 · outbound

This paper cites 2004.Domain-driven design: tackling complexity in the heart of software.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics 2004.Domain-driven design: tackling complexity in the heart of software

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:46.510767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:46.510767Z digest=sha256:b1b9e91702d53c418f72da8e138fa0e13eec358254826f123d5df94a7007015f

Observation 7939e916-09ec-44d2-8f44-2671beaf71a5 · outbound

This paper cites Gomez, Hua Guo, Caroline Ziemkiewicz, and David H.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Gomez, Hua Guo, Caroline Ziemkiewicz, and David H

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:46.545295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:46.545295Z digest=sha256:6eb9ed121e7bc222d22df9ca857f18c178db3efd34a05495382c19b18c75df80

Observation f9e9011b-a9b4-4129-9d04-d6193f3e8530 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:50.654071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.578239Z digest=sha256:7b344a6d562668d35e13cba4ba20689370495a41450285f100b669db771ef09d

Observation cdb6d396-c8b3-48ac-a45d-a2f388a45b48 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:50.461525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.639711Z digest=sha256:36ccc0147211eab2370afb4d2645fd2a4f652597a79aea24972df7df5b4037ef

Observation f30a132c-dc4c-40a2-9579-0b76debf734f · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:46.699221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:46.699221Z digest=sha256:ef82ec7e327dec8ddc49111ad71eda2c671caefbbff168797a4cc6105f938f9a

Observation 8f07dc48-9b7c-4cad-811e-74eab16d7501 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:46.749629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:46.749629Z digest=sha256:6584cc1ecf8130ac834d754ff2744b6f33205e3ca6da52a29311363b3451508f

Observation 0deb9831-bdf8-45a2-a065-5626287b5d1c · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:50.304160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.788958Z digest=sha256:84ea25692dc28af80ab9371f9f5f08663408ed10fa30347d3671915c4e9a4b4b

Observation 64c2e1b7-45df-4639-8c5b-7ff82a25a9f2 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:46.834138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:46.834138Z digest=sha256:ef1ed44b6219e654e5a1a95607285d5d02c4de7a17b1c31bf679bcced5056d26

Observation b96ad4aa-42d9-44c4-a8ef-2fd2e184663d · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:50.133280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.896565Z digest=sha256:8d387e6b2e6da3073e884d6afe830ef56617274bb7a2b65cd0c8e0cffa421011

Observation a80cc310-2ec8-4bd5-8d9a-b877dc8f20ed · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:49.946621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.923112Z digest=sha256:22f99a7468aa5a6b3f0d777b9824c674ed75f1d07fee64d3a1b14e99a64fe138

Observation e1924075-83c4-441c-998a-df3932879794 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:49.776613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:46.997235Z digest=sha256:206284dc58a1a884cd54a485ea973e42e84d3a918790f8704aad5530264add79

Observation 6c3a34c4-460a-425c-89a9-d2fdfd349d5a · outbound

This paper cites An LLM-Based Approach for Insight Generation in Data Analysis.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics An LLM-Based Approach for Insight Generation in Data Analysis

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:42:48.384690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:47.040922Z digest=sha256:2bfeb519d673cd31c92197c34e29a1efcc7ca909bdddd6ab349b66c2a951877e

Observation 65b27a04-62cd-4d7a-963e-5f8044581a49 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:49.623988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:47.066249Z digest=sha256:b31ce1058b9507fc68189710a3492d2f045bc4bfad89a48e3cc68b8e29c892fb

Observation 04c04629-cfe6-4fa2-a4b6-79727a7a2c7d · outbound

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

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:47.103621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:47.103621Z digest=sha256:ce9b7b83e7f083c90d55d70e3706b0224fccf0e5b4344c56367d8baaeae9398e

Observation 3e7a49df-2347-4d4b-8c9a-91aeb52852f4 · outbound

This paper cites Saraiya, C.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Saraiya, C

Reference 22

Resolution
verified exact
doi, observed 2026-08-07T12:42:48.021032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:47.154791Z digest=sha256:6ee52e30bb60189c959c06846d8399a14fa786d3f1ffb951b6b62daa54eeff8e

Observation 66c43569-7449-4514-9427-efefd0c19b3a · outbound

This paper cites Saraiya, C.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Saraiya, C

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:47.232205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:47.232205Z digest=sha256:5e2c5ff405b0ad6189379c1b0d45d28550dc1312ae9fb18d9760bb14f2b63f02

Observation e1eecf9a-0d91-4493-b806-7a3223852b09 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:47.280818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:47.280818Z digest=sha256:4601f84eeb917537ed6a83748b8a2e047091d2584f0afc8d7c754c62e8f5dc88

Observation f78e2b24-1ecd-43f7-8f98-cc5fa5d3dec0 · outbound

This paper cites Drucker, Alex Endert, and John Stasko.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Drucker, Alex Endert, and John Stasko

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:47.341915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:47.341915Z digest=sha256:33b935625cd70bcfce6e9b9dea991ba94bf92e1ec99faf44fe37d8f52fb1af2b

Observation 434615ec-a6a2-4a56-96f2-04f2b7473fce · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:49.421516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:47.454760Z digest=sha256:1c32055db9987c980e1816f9bce91633a6483885a6238ba601ff62c08d104362

Observation 12a90733-3bb4-4370-addd-ae206577c208 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:49.224685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:47.521464Z digest=sha256:474e5c92e42bc33b354d03ba25e2305827962eaad0e326392e15cdfde75f3b46

Observation 1d685077-6f95-4e10-a8ca-fcb2401cc0dd · outbound

This paper cites ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:47.573987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:47.573987Z digest=sha256:ee829626615d7596e3b7d0d9752334822ec7307f9575f81f814df4637f17e813

Observation b3c2d45c-fdb8-495f-b08a-a689bed4aae5 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:49.060155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:47.619265Z digest=sha256:bc0e04c161a62c635bcada6717aea10203589c7f4163112f3af008d95be27601

Observation 62790ebf-2052-4363-bf08-d146ad953803 · outbound

This paper cites LLM4Vis: Explainable Visualization Recommendation using ChatGPT.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics LLM4Vis: Explainable Visualization Recommendation using ChatGPT

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:47.677967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:47.677967Z digest=sha256:10a9e506e2300f9db183f484375c03d9f7f8431bfc32ef0d8c0b4ca98ad97bcd

Observation 32c6396e-5d05-4c87-8a3a-64921780ee95 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:48.836563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:47.734218Z digest=sha256:7b5caf759ecd60e7a1ef9dbe1a051669464412b7be164fda49aaefcbb95859db

Observation 989d9b4d-b81d-4e41-9aca-94bc531237d2 · outbound

This paper cites an unresolved cited work.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:42:48.691089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:42:47.762304Z digest=sha256:483a3782e31cf801c807d1469cbbf60c243e985b1b56bbbef057b0de1cbaeb7c

Observation 8a6988e1-fa4d-42f3-adb6-3088084157d1 · outbound

This paper cites ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:47.827185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:47.827185Z digest=sha256:9614128078ea1e20ce087d089a52b67e727710b3f3e7ba15542aa341d03fdb79

Observation 27811fad-dc02-41ba-b406-3192b30668f2 · outbound

This paper cites ChartBench: A Benchmark for Complex Visual Reasoning in Charts.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics ChartBench: A Benchmark for Complex Visual Reasoning in Charts

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:47.861300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:47.861300Z digest=sha256:26735a99cbb2f39f0633f2ca9af77179887716b8a0f442e8ce4d6614c104f964

Observation 9581739a-54bd-451b-b4ba-43ffb571d55d · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:47.901488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:47.901488Z digest=sha256:e6a374bbf9e2521f624a221321d9aa864d2dbbc555b897a3f3498a9d6d99bcd7

Observation 3bf9a2d9-da0c-4efb-8e27-be3197e536e6 · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 2022

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unresolved
no resolver link, observed 2026-08-07T12:42:46.862609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 208df021-9f38-424d-b88d-a824a540778c · inbound

Autark: A Serverless Toolkit for Prototyping Urban Visual Analytics Systems cites this paper.

Autark: A Serverless Toolkit for Prototyping Urban Visual Analytics Systems Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics

Reference 66

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verified exact
arxiv_id, observed 2026-05-09T23:29:43.646609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6f0d1299-16a4-44fe-a367-b7c5486d30e5 · inbound

Discovery Agents for Real-Time Analytics: Toward Proactive Insight Systems cites this paper.

Discovery Agents for Real-Time Analytics: Toward Proactive Insight Systems Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics

Reference 26

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verified exact
arxiv_id, observed 2026-06-29T17:23:45.083764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T17:17:10.626753Z digest=sha256:e533c460e6041f58b1768d73e5bec3ced0b5ba523227b8c4aa1b9d9dad486704

Observation 0e53458e-7e3a-4bd2-8e98-f692e9b3d7f0 · inbound

Data Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data Complexities cites this paper.

Data Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data Complexities Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics

Reference 35

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verified exact
local_arxiv, observed 2026-07-08T04:34:31.180470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T04:34:05.733204Z digest=sha256:ac03a1a78b0b2959b5f088c5d9cb58fd2955d758eb4e01c60759089f5135162a