Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:32:16.446676Z
Paper Citation Record · LEDGER
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering
As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2510.04514.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved19
- parse uncertain0
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 60ef1053-64f9-478a-996a-ed69c7de5f2d · outbound
This paper cites • Normalize both answers carefully by checking both the <groundtruth answer> and <predicted answer>values in context.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering • Normalize both answers carefully by checking both the <groundtruth answer> and <predicted answer>values in context
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:16.076536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe88b479-d16b-4cc0-aa09-2ef8d1fc4873 · outbound
This paper cites ground_truth_filtered.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering ground_truth_filtered
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:16.197258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d2c7b92-dfaf-4ef0-8d19-ae06ade311f6 · outbound
This paper cites How much higher is X than Y?.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering How much higher is X than Y?
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:16.446676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7c817ed-9b54-469a-930d-4fa99cd3cb0f · outbound
This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:14.675403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdceb79e-7fb5-4a9b-9560-81c34931c085 · outbound
This paper cites SmolVLM: Redefining small and efficient multimodal models.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering SmolVLM: Redefining small and efficient multimodal models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:14.892848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcee366a-7990-4787-8542-9bed575f0004 · outbound
This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:14.983970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07be4d4d-cc99-4fee-9539-94cc41f6ed51 · outbound
This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:15.101569Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a095ebf5-ebae-4d08-af40-75a0eb04acbe · outbound
This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:15.178796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d46db7c-a6ee-4af3-9dd8-e3c451bd7ffb · outbound
This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:15.292166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9cef323-f9b7-46b6-b53b-a8834caf2566 · outbound
This paper cites What is the value of India in 2021?.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering What is the value of India in 2021?
Reference 11
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-04T11:32:15.405966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48ab2163-39e2-4acb-8237-c2e57d82b855 · outbound
This paper cites in thousands.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering in thousands
Reference 16
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-04T11:32:15.923468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0421bbad-3ea9-4f79-a6db-165245af6cf1 · outbound
This paper cites an unresolved cited work.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:16.279348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dad9b0ea-790e-4c3f-9fe9-aa35b7fa9af1 · outbound
This paper cites an unresolved cited work.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering Unresolved cited work
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:16.377453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97be4076-f69b-424e-9617-5991f95549aa · outbound
This paper cites For segmentation tasks, we use the Segment Anything (ViT-H) (Kirillov et al.,.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering For segmentation tasks, we use the Segment Anything (ViT-H) (Kirillov et al.,
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:15.794019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b86e36d-fb5c-41d9-9acd-983ca0ce1de1 · outbound
This paper cites (b) Chart-specific Tools Localized the X-axis and applied pixel-to-value interpolation to compute the median from the left and right parts of the detected box of interest.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering (b) Chart-specific Tools Localized the X-axis and applied pixel-to-value interpolation to compute the median from the left and right parts of the detected box of interest
Reference 203
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:15.614374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbd06f16-89e3-4c17-9bf5-751bb1300e9e · outbound
This paper cites The tools that utilize EasyOCR are the same as above.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering The tools that utilize EasyOCR are the same as above
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:15.480923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a96229d3-480b-4d31-9e3c-eafbbaf8dd64 · outbound
This paper cites Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, and Steven Hoi.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, and Steven Hoi
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:14.377050Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 332aad73-b969-46c7-9c8e-e681d7075fdb · outbound
This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:14.531541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e51e3b83-539a-4c3f-9990-228ba536ca0d · outbound
This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:14.317722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dd154c6-d455-4066-8564-f221c43666c4 · outbound
This paper cites mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:14.796214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92625edb-977d-4237-b0a9-dd6fee19e61e · outbound
This paper cites an unresolved cited work.
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering Unresolved cited work
Reference 2409
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:32:15.690901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.