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Paper Citation Record · LEDGER

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2402.12185.

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

pith.paper-citation-record.v1
2402.12185 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:34:02.341116Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:57.579605Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b138e72b-54d3-4a0e-bed2-1ff8e8c9b124 · inbound

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling cites this paper.

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 38

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arxiv_id, observed 2026-05-23T19:43:23.678200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T19:39:35.147671Z digest=sha256:b5a6ff9b5b28b03dff89ae7bb0bedb89e8c2a993e30440034ec1e782cfce2c2e

Observation f9ab4b45-e19b-41cf-ac8a-9c942c3fe761 · inbound

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction cites this paper.

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 262

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arxiv_id, observed 2026-05-23T19:15:47.286983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T19:15:21.695801Z digest=sha256:8cc585dace7e63a9b23a0eb8a152b8cf1d133a45a132508fa10c5a8d599c92ba

Observation a278470e-2183-4ab4-ab02-6f75b4a40463 · inbound

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning cites this paper.

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 20

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arxiv_id, observed 2026-05-17T20:33:26.751219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T20:33:26.613927Z digest=sha256:da28e5315872295ad0c7b43c07e06005480022b81532ec7ff76c77934b13f3bf

Observation 103750fb-7e7d-4e4a-af79-90dfc626cb34 · inbound

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023 cites this paper.

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023 ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 51

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no resolver link, observed 2026-08-09T20:34:02.341116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:34:02.341116Z digest=sha256:0ee407c107780a17592740589ee8a43bfa339220f421e9044ccd39a5c9af509e

Observation 250dc581-5b92-4aa4-9bf2-6ca6872fe5f6 · inbound

VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection cites this paper.

VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 40

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no resolver link, observed 2026-08-07T13:59:38.929113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:38.929113Z digest=sha256:67a700ddaf8a34f25ea1024df7ce8b8c1e4ee9e9d9b79ae0fe44032752ea47e2

Observation b579d972-7002-4899-a59f-4bd17682865a · inbound

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs cites this paper.

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 60

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no resolver link, observed 2026-08-07T13:36:00.905290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:36:00.905290Z digest=sha256:89693e423940cb2c1d18b35289bc43b2340b4e0091cef25933353b900922f4d9

Observation c99a0f72-a87c-4ea0-a192-a8e661b41a4c · inbound

MuSciClaims: Multimodal Scientific Claim Verification cites this paper.

MuSciClaims: Multimodal Scientific Claim Verification ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 2023

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no resolver link, observed 2026-08-07T10:43:30.892073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:43:30.892073Z digest=sha256:b45dd1b6798107d07220b91a86ddbbe85e66605f52224c9b8dfd3c344a5ff3fe

Observation a741b165-5afb-4699-bf37-300cc224519f · inbound

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools cites this paper.

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 32

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no resolver link, observed 2026-08-07T10:27:36.844478Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:27:36.844478Z digest=sha256:5ede400a344e3c36feed0596f8f511fae3d77846bfcfc996537379ee50dffe27

Observation 76580506-0fe2-4444-a116-28dec52aeb36 · inbound

Does It Run and Is That Enough? Revisiting Text-to-Chart Generation with a Multi-Agent Approach cites this paper.

Does It Run and Is That Enough? Revisiting Text-to-Chart Generation with a Multi-Agent Approach ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 37

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no resolver link, observed 2026-08-07T06:03:57.533348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:03:57.533348Z digest=sha256:adac34755883e9400211df1b3f3efb95051e2f0484d7ed833a6d5e6b121e7c4d

Observation b37736b1-8c9e-4674-a8d3-433745e45112 · inbound

ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering cites this paper.

ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 2025

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no resolver link, observed 2026-08-07T04:38:32.659804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:38:32.659804Z digest=sha256:2e2de2aeda9b994cdf940181a439a08b2b8894dfc68aeb766ae3a97170f112e1

Observation f8250599-6e3e-44ab-ba37-3a837b5680ae · inbound

SimVecVis: A Dataset for Enhancing MLLMs in Visualization Understanding cites this paper.

SimVecVis: A Dataset for Enhancing MLLMs in Visualization Understanding ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 34

Resolution
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no resolver link, observed 2026-08-06T22:32:40.633371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:32:40.633371Z digest=sha256:f1cbeb7e3977c876bb809d07fa05b651dc471afafc3f17a68fcca698a80ce573

Observation 152c8a3e-c514-4cf2-8371-942a4c18c328 · inbound

Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models cites this paper.

Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 14

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no resolver link, observed 2026-08-06T20:35:58.519990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:35:58.519990Z digest=sha256:c07f4cacf1acf988182799fcae93753cf0c81dde15c24c45ef61c026c84b6afc

Observation c7086446-3995-4266-8ff6-f424aff91aba · inbound

In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding cites this paper.

In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 10

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no resolver link, observed 2026-08-06T16:14:08.830591Z

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source=pdf_text observed=2026-08-06T16:14:08.830591Z digest=sha256:2079c30aeb6a0a6db6374b4dee026ed6dd2420df8dffb68ed27d0b5215c1f96d

Observation 9e08be10-ea52-4a09-9763-bab8ded5a6de · inbound

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models cites this paper.

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 19

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no resolver link, observed 2026-08-06T15:52:14.958562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:52:14.958562Z digest=sha256:9fa8c5f71f2af1d305642f49fe5ad3bdb99a8fe7d76a320e6232f973a46d0d01

Observation 9b55ddca-aa16-4af3-9092-a8d48b9305bf · inbound

ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation cites this paper.

ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 22

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no resolver link, observed 2026-08-07T12:10:19.217133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:19.217133Z digest=sha256:3d209cbbe32716bdd48ab411dc24a7dab0fa33e9a20c2b5eb03c0072b69afbf8

Observation 792411f9-03b2-43d1-b6ab-f920c5738d0d · inbound

Visual Programmability: A Guide for Code-as-Thought in Chart Understanding cites this paper.

Visual Programmability: A Guide for Code-as-Thought in Chart Understanding ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 55

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no resolver link, observed 2026-08-04T19:27:20.984528Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:27:20.984528Z digest=sha256:d056f0f8d4daafc18c3ac7bc410f31091a2042fab1515e29ae27d9cf37b66cc4

Observation 6e086147-55fc-42cf-8ffc-0e9d61c017e5 · inbound

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch cites this paper.

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 39

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verified exact
arxiv_id, observed 2026-05-16T13:12:54.737899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T13:12:01.889341Z digest=sha256:a8e6dcb2a9e7877a9a93d80046e49dd31045ea3cb023b24f43aaf21f1766ec03

Observation 4253b866-4fc7-431d-a233-1e20e5875939 · inbound

Chart Specification: Structural Representations for Incentivizing VLM Reasoning in Chart-to-Code Generation cites this paper.

Chart Specification: Structural Representations for Incentivizing VLM Reasoning in Chart-to-Code Generation ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 46

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no resolver link, observed 2026-08-04T06:07:03.204528Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:07:03.204528Z digest=sha256:90192c321577ac096fd7713cd2ce88be6e270cf39b426bbd3d3df47fd13c84a9

Observation fdd249a8-d306-4ae9-b124-c9f44efa74b2 · inbound

PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading cites this paper.

PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 21

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arxiv_id, observed 2026-05-16T10:27:44.662324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T10:24:58.444855Z digest=sha256:d2c6d4aa5a45502a3f8d4d71ce862e73029cabb7d7902a2a16b05cdfcd445c63

Observation 4b5eddda-bb1f-4c20-91c9-7d22324650dc · inbound

Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language Models cites this paper.

Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language Models ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 25

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arxiv_id, observed 2026-05-13T20:03:12.113338Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:02:44.124502Z digest=sha256:e3cb75dd247eb55b72225808fd486c7d8a3d85d744f27f908cd41fb92fc1cbc0

Observation 5e1ad51d-4ae4-4f39-baa3-11e129fb1608 · inbound

Large language model-enabled automated data extraction for concrete materials informatics cites this paper.

Large language model-enabled automated data extraction for concrete materials informatics ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 97

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arxiv_id, observed 2026-05-11T19:41:08.755668Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:17:46.387553Z digest=sha256:c6074ff1d167544d1a03355461952a4de0ef03232aec46cc5bb0efbb8e5e2616

Observation 253ffb8f-9f87-4396-8e90-2aa165b81f30 · inbound

Large language model-enabled automated data extraction for concrete materials informatics cites this paper.

Large language model-enabled automated data extraction for concrete materials informatics ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 97

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arxiv_id, observed 2026-07-04T16:59:57.581917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-04T16:51:19.852113Z digest=sha256:b0955e19d97c6abd7fb87bc68d513ccc47abcf8c36ea6c198a4aef72959d5f27

Observation 92f2566f-d970-451d-849b-4d1d6ab0a35b · inbound

PlotPick: AI-powered batch extraction of numerical data from scientific figures cites this paper.

PlotPick: AI-powered batch extraction of numerical data from scientific figures ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 4

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arxiv_id, observed 2026-05-11T18:41:11.007432Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T14:21:26.275772Z digest=sha256:deb8ea44b42ff0d17fbe7028b17237288d25af0ea210830406a2250019b4e828

Observation 0cd88e9e-8105-4910-a116-9f0c674ca79c · inbound

CrystalXRD-Bench: Benchmarking Vision-Language Models for XRD Peak Indexing Across Diverse Crystalline Materials cites this paper.

CrystalXRD-Bench: Benchmarking Vision-Language Models for XRD Peak Indexing Across Diverse Crystalline Materials ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Reference 8

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arxiv_id, observed 2026-06-29T07:33:13.937474Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:27:23.960046Z digest=sha256:1da64991d9e01b34732ea919b3f2a457ff299044f6ec1ebdcdc822cee2a83f34