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Paper Citation Record · LEDGER

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2406.18521.

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

pith.paper-citation-record.v1
2406.18521 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:36.716754Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d80fd7c0-992b-4814-a87c-f44e5fdfbe5f · inbound

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs cites this paper.

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 47

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source=pdf_text observed=2026-08-12T14:31:36.882439Z digest=sha256:03cb06d42821c4e85a9f69c4bacbab4a1367fc8405a6297531cc1aaf4718e43c

Observation ad6a47cf-36d2-4292-aa2c-b62c1401cc79 · inbound

AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM cites this paper.

AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 68

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source=pdf_text observed=2026-08-12T12:27:41.774405Z digest=sha256:e59f2a28c2912ed4a47ddb17ec6c56f91048dc4d692211a0851a47f30cb699e7

Observation f031aa26-6506-42b8-babb-7d68b49cb617 · inbound

ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? cites this paper.

ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 49

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source=arxiv_source observed=2026-08-11T23:36:24.796788Z digest=sha256:f352defd50f87599ae891370015880a103a2b9e56fb6d423919f57594b24b078

Observation 25cc91bd-99a0-4072-b658-8f45dbe43a71 · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 258

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arxiv_id, observed 2026-05-10T13:23:58.147796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 851441f5-aa09-46a1-ba1b-090d56a0db48 · inbound

Rethinking Comprehensive Benchmark for Chart Understanding: A Perspective from Scientific Literature cites this paper.

Rethinking Comprehensive Benchmark for Chart Understanding: A Perspective from Scientific Literature CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 33

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source=arxiv_source observed=2026-08-11T18:19:03.962541Z digest=sha256:d5388156c09a6632c91e9a1525b5c84360878d988732525f9357b9d8e8a93a8a

Observation 98b439a5-bac1-4166-a0b1-2a79c2f0b81f · inbound

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark cites this paper.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 72

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source=pdf_text observed=2026-08-10T21:18:59.744440Z digest=sha256:54b8cd40a27f40e40defa0ade49202ca86fc194842607a5b8f6b6c61ff3c92d9

Observation 3db01fd5-aa86-43e9-b497-7b07c4661d31 · inbound

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding cites this paper.

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 34

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no resolver link, observed 2026-08-10T21:17:03.076817Z

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source=pdf_text observed=2026-08-10T21:17:03.076817Z digest=sha256:975d1e7601ca97fbf30782ca2a645c20faad6b7524fbb55dfd871e2853091d07

Observation 263bf538-da8c-4928-bcb9-b4ea505bcee4 · inbound

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation cites this paper.

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 34

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source=arxiv_source observed=2026-08-10T21:03:45.214750Z digest=sha256:66739101cbc6f31e2e634bde1b738af1659d06b259b813372ceaf463b58984ae

Observation 550653ed-b3bc-4632-a9da-3d50b5c44326 · inbound

Qwen2.5-VL Technical Report cites this paper.

Qwen2.5-VL Technical Report CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 31

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arxiv_id, observed 2026-05-23T02:25:19.107173Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T02:25:04.405036Z digest=sha256:e5f247cb186de83eae1a4f54f9e7ec5d1a1e328bf6801ce031806807fbd09484

Observation 9d0a5f56-c7ca-4f81-bfbb-e30b8e8d82b2 · inbound

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 129

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arxiv_id, observed 2026-05-10T13:41:08.129077Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T13:41:07.991012Z digest=sha256:e230e641b3f2f0c16ab9f340d3db59e29bad82fb6638f1f1011b10f143222e83

Observation 6bd37f51-f0fd-4f8b-8147-8f7e4cecb931 · inbound

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding cites this paper.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 59

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source=pdf_text observed=2026-08-16T12:19:36.716754Z digest=sha256:8179bd53effdeede68567647fa768d2778d54b9ad8ab03f948cb80b64a081b92

Observation a9d4b6d0-9d3c-4b09-b3a0-0d9b7b219d55 · inbound

Arrow-Guided VLM: Enhancing Flowchart Understanding via Arrow Direction Encoding cites this paper.

Arrow-Guided VLM: Enhancing Flowchart Understanding via Arrow Direction Encoding CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 17

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no resolver link, observed 2026-08-15T23:00:21.049366Z

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source=pdf_text observed=2026-08-15T23:00:21.049366Z digest=sha256:23ff96cdca620616ffc236c80cecbf8930b6d374412d9925ebffcb4fecb58cbe

Observation 5a03f981-c432-41a9-9a60-4f3175eed99c · inbound

ChartLens: Fine-grained Visual Attribution in Charts cites this paper.

ChartLens: Fine-grained Visual Attribution in Charts CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 47

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no resolver link, observed 2026-08-07T14:19:24.387371Z

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source=arxiv_source observed=2026-08-07T14:19:24.387371Z digest=sha256:0041d92ce54a9e272bd0ba0fa030e095c6fbaa6e5c4b48f598b8e1dda55640ec

Observation 3d596ff5-4c8d-4fff-98fb-491157df9d24 · 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 CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 35

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no resolver link, observed 2026-08-07T06:03:57.284991Z

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source=arxiv_source observed=2026-08-07T06:03:57.284991Z digest=sha256:68792e727398396e10d3ec26f435dd3c0ff44c1257e0aa41dfc6e12ed1c5d8e6

Observation bc132b93-c994-4b01-8c8a-2b858c3fdb7f · inbound

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism cites this paper.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 26

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no resolver link, observed 2026-08-07T05:09:21.813886Z

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source=arxiv_source observed=2026-08-07T05:09:21.813886Z digest=sha256:808b9ec62669423503dd14061d9129993dbb10cc22238ff553210dd737102667

Observation 707307d7-ba07-4e10-8050-b63a73a9685f · inbound

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification cites this paper.

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 41

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no resolver link, observed 2026-08-06T23:59:05.757918Z

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source=arxiv_source observed=2026-08-06T23:59:05.757918Z digest=sha256:9a3dbed9b29b0be573266a598ec8c8ed284e3a2fe13b5968ea6ffd6d90477714

Observation 87c0990c-9c80-4491-873e-cfd55761b9fe · inbound

Multilingual Multimodal Software Developer for Code Generation cites this paper.

Multilingual Multimodal Software Developer for Code Generation CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 79

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Observation 25ae9e10-aa6b-45d5-90ff-4765489183a7 · inbound

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers cites this paper.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 34

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source=arxiv_source observed=2026-08-06T17:31:06.931509Z digest=sha256:c93ff7d0baba628914b9b1737bb3aab2321fb3a91853a18abffd2866714185fd

Observation a6271702-90e7-4a8a-b2a4-db18cdb524ab · 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 CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 9

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source=pdf_text observed=2026-08-06T16:14:08.704178Z digest=sha256:a44046f26f129b5b9a155914ab5133758d28c7546d99922396e6654b81783744

Observation 90142181-1b47-4d6b-af78-8297510be4e8 · inbound

ChartCap: Mitigating Hallucination of Dense Chart Captioning cites this paper.

ChartCap: Mitigating Hallucination of Dense Chart Captioning CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 58

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no resolver link, observed 2026-08-06T04:43:40.401388Z

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source=pdf_text observed=2026-08-06T04:43:40.401388Z digest=sha256:2839d66e839f927cc85418faf730e413b6c8f1a8a17327010d98fd858cd43053

Observation fc9bc08a-8500-41e2-bcce-4ed8269aad4c · inbound

Adaptive Sparse Softmax: An Effective and Efficient Softmax Variant cites this paper.

Adaptive Sparse Softmax: An Effective and Efficient Softmax Variant CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 58

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no resolver link, observed 2026-08-06T04:41:38.143071Z

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source=pdf_text observed=2026-08-06T04:41:38.143071Z digest=sha256:2bd0f8276897611335f3014e5c98f423749923d500ee3a55c14381bdf23ce4c0

Observation 169b6037-0684-4a9c-ba9a-19c063892fca · inbound

Chart-CoCa: Self-Improving Chart Understanding of Vision LMs via Code-Driven Synthesis and Candidate-Conditioned Answering cites this paper.

Chart-CoCa: Self-Improving Chart Understanding of Vision LMs via Code-Driven Synthesis and Candidate-Conditioned Answering CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 37

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source=pdf_text observed=2026-08-15T17:32:09.029536Z digest=sha256:0430ba39abf93619733f879d5722ee6534377b8671f56130d79d706233dc8065

Observation 4b0dab79-3608-48a5-8197-911a28b4e8f2 · inbound

A note on simulation methods for the Dirichlet-Laplace prior cites this paper.

A note on simulation methods for the Dirichlet-Laplace prior CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 37

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source=pdf_text observed=2026-08-15T17:29:43.938462Z digest=sha256:b9aef240fcd23a3fdc409a6f5d16768a2af0718c2c9e9eb1759756e8d682eaee

Observation e4d3ef0e-3dba-4370-821f-13ee972dc80e · inbound

DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards cites this paper.

DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 28

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no resolver link, observed 2026-08-15T17:06:29.160359Z

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source=arxiv_source observed=2026-08-15T17:06:29.160359Z digest=sha256:bffe933bbff5017d68ff05f599eca1444244f67f61f4c9b481b8c3f8ecfeabb7

Observation 5f4ad011-2f6e-475d-a053-cc2c509439a6 · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 149

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arxiv_id, observed 2026-05-10T11:58:58.872810Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 908ee738-59e2-4e5a-9234-0db9cb9cbf73 · inbound

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

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 38

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arxiv_id, observed 2026-05-16T13:12:54.817867Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T13:12:01.889341Z digest=sha256:409ed912cafecd72ff52b8cc60fd217cc95e946cad31af50b2172e263301fada

Observation 1bd6666d-6e4f-471a-8d81-4bb896539ca3 · inbound

Kimi K2.5: Visual Agentic Intelligence cites this paper.

Kimi K2.5: Visual Agentic Intelligence CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 70

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arxiv_id, observed 2026-05-10T16:09:05.399957Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T16:09:05.225767Z digest=sha256:e0e4a9c09fe88813a2d054f6ca58c38a701a1170b416af2c3365641e1a71b2e0

Observation f854adad-bf78-4aeb-9c52-ed71d28f1fcc · 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 CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 24

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arxiv_id, observed 2026-05-13T20:03:12.101966Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T20:02:44.124502Z digest=sha256:122e24ae398dac1b799c0b1348c1e86db291fcda1302993892663ff1b81d0ad7

Observation 6d1625b7-d971-470e-97a3-00b0d46a3d21 · inbound

GENFIG1: Visual Summaries of Scholarly Work as a Challenge for Vision-Language Models cites this paper.

GENFIG1: Visual Summaries of Scholarly Work as a Challenge for Vision-Language Models CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 35

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arxiv_id, observed 2026-05-13T16:48:03.138494Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T16:45:17.022062Z digest=sha256:301a3f84751c5c785674ee68ef8e45d5d64eaadbaf4bcb78c292ba463b15fb70

Observation 03ccccb0-883e-473c-b095-3db8a002ac17 · inbound

Visual Reasoning through Tool-supervised Reinforcement Learning cites this paper.

Visual Reasoning through Tool-supervised Reinforcement Learning CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 27

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arxiv_id, observed 2026-05-11T12:46:03.106277Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T03:05:21.688216Z digest=sha256:3d927532f385f274bc3b2fe94d57b1781b02a3caed93f8b88a90c31e19dda300

Observation 0fcb78f5-6917-4739-bd37-e36d334f307f · inbound

Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning cites this paper.

Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 53

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arxiv_id, observed 2026-05-08T17:08:34.360555Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-08T17:07:53.418355Z digest=sha256:a8690b51a986bc542c0c0d093ba3c0eb15251032ea7d664c8d4ec05bcfe6ef94

Observation 4156f526-c82f-4ad5-981e-2adb2e128b29 · inbound

The Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space cites this paper.

The Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 34

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arxiv_id, observed 2026-05-12T06:11:25.171790Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:30:54.053958Z digest=sha256:bb6b88edebb0f8a29cac52c937c7b747c46ca7f1e3fca2812f15fd9efa1c9284

Observation 16d401b1-7d08-4373-874b-58516966983c · inbound

The Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space cites this paper.

The Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 34

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arxiv_id, observed 2026-07-01T13:35:46.582036Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T22:58:04.574536Z digest=sha256:95894c79206841a79ee7620335504cbcdd365080ea93004480938c1f5a68538b

Observation cbeddef8-3b1a-461a-8bba-04c84bec0b3f · inbound

SEED: Targeted Data Selection by Weighted Independent Set cites this paper.

SEED: Targeted Data Selection by Weighted Independent Set CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 60

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arxiv_id, observed 2026-05-20T20:33:43.455534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T20:30:26.760966Z digest=sha256:bc8ad01430f60c3a8bad20914789cc977b04cd83d24a83d079308fae62e3443d

Observation a18c61c8-6880-4aee-83e0-772d76dc3ec9 · inbound

ETCHR: Editing To Clarify and Harness Reasoning cites this paper.

ETCHR: Editing To Clarify and Harness Reasoning CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:25:19.422535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T04:21:50.862780Z digest=sha256:5b8c67ba276d64b3d18ca39161aee12bddfe9f71f8eab5460dba030493d1d56f

Observation 675ca359-efcf-42bd-86ec-a0a7b64beb43 · inbound

EpiCurveBench: Evaluating VLMs on Epidemic Curve Digitization cites this paper.

EpiCurveBench: Evaluating VLMs on Epidemic Curve Digitization CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:33:50.493422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T18:30:28.660080Z digest=sha256:a457d9d9f8006a32bcea1e0c5493a8b5dc5d7780586887bc4ae365d5cea95fe7

Observation 5ef6b533-b8ae-42a3-a766-c0013aa41452 · inbound

IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents cites this paper.

IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:33:24.492848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T12:28:29.456480Z digest=sha256:e106140314a0434bdecedc19438ba9d98357de90d8b30cd7be4947eddd6407a0

Observation e7a756c5-fe8b-473e-8299-8749b56708b4 · inbound

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL cites this paper.

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:19.932504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T14:55:07.045625Z digest=sha256:8d3b4269aab5f24feb205fcbb92d3f0bb15f9288ab5f687f3b90ae3e5b585325

Observation 01ce1a4f-893e-42d7-89e5-2674561c10c6 · inbound

DeepInsight: A Unified Evaluation Infrastructure Across the Physical AI Stack cites this paper.

DeepInsight: A Unified Evaluation Infrastructure Across the Physical AI Stack CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:18:56.584395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T01:28:59.297634Z digest=sha256:00517756ccc5d40b246e58571d13c19af21c324bdbeaa985829dbed87860441d

Observation 21349436-c25b-4276-a53e-8b53e40b049a · inbound

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients cites this paper.

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 132

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:48:56.030023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T01:08:52.981296Z digest=sha256:1343fae302b3ac8bec9ad1e42cabcfcdfdc276d96f620ac2c077a4f76a1d2065

Observation 85f98877-4743-4f1c-994a-a0051317ce70 · inbound

An Exam for Active Observers cites this paper.

An Exam for Active Observers CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T21:12:08.051888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:12:08.051888Z digest=sha256:4d0e1a010b8c3ceb362d4e2198be0d032faefa1d6269f54cb35e0cf3090c103c

Observation b4bccc1e-36c1-44a6-a9ab-e0d217c2e645 · inbound

Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning cites this paper.

Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-01T11:47:27.812458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:47:27.812458Z digest=sha256:ce26fb77d6d246b185781f14e0dbca061f215b14d88627980a7166c74fc5986a

Observation 99a7dac0-066d-4ecb-879a-b117536c9de1 · inbound

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents cites this paper.

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 58

Resolution
unresolved
no resolver link, observed 2026-07-31T14:04:41.887554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T14:04:41.887554Z digest=sha256:1b36b6912d0111e0b030b773b91f2722d2a5e4ba365ccae988b9b814d90a524a

Observation 58bc7e5f-585b-444a-b826-0f46909038fb · inbound

Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning cites this paper.

Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T12:53:14.341547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:53:14.341547Z digest=sha256:976dbb5c04d74cefaf13209eb84c8de5dff25d806b853460123dd0aa033902ed

Observation 96f2fc39-5f0b-4d91-9cb5-d1f3987622ba · inbound

Chartography: A Benchmark for Professional Chart Understanding cites this paper.

Chartography: A Benchmark for Professional Chart Understanding CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T19:39:33.279427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:39:33.279427Z digest=sha256:fc2a2c929b204d3ff40466db0de73563acdf4269a20fce30eab1292dfe062d9d