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Paper Citation Record · LEDGER

ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.07001.

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

pith.paper-citation-record.v1
2405.07001 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:02.202634Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T05:34:20.076167Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c83dd5e5-70d9-405f-a5a5-181c06f3b421 · inbound

CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models cites this paper.

CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:02.202634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:02.202634Z digest=sha256:a27047aebecf8638ae0474c39758adfd43de795bf6654c34ceec85468640b8a5

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

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics cites this paper.

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=sha256:46f2ce87a36a6997c3e9739789332ad661365a9f41a2d6d72fb16408679cf76f

Observation a92ce3da-0fea-4661-b610-a2ca319d9984 · 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 ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:22.134598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:22.134598Z digest=sha256:109fe061faa3e82d64260a508b558dd6b1fb881b411ab827fa2b860c6c420a0a

Observation 48a6e6e0-2b1a-4f35-8642-cb8ada73e42d · inbound

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos cites this paper.

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T04:22:56.057630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:56.057630Z digest=sha256:2e552c87c6447efb73a7be19a4b918d71e13e5dede18cacfad15886b45d325db

Observation 33480d9e-4cf3-4ba3-9111-28415144cf85 · inbound

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

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:52:14.953969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:52:14.953969Z digest=sha256:814d439f3b4cde03af58e346d8e55be8f4c83978ce57e3b692ef5f5a0917ca20

Observation 060fcd25-57d0-4359-acbd-1514349d7b94 · inbound

CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation cites this paper.

CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:53:31.172626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:53:15.454462Z digest=sha256:21824ce137afc6477f88d445b01f253ae6fbb699dfa9da272d3f67b10bbadcfc

Observation 798c5b00-d29b-4317-80b3-5aa5d325227f · inbound

ReVis: Towards Reusable Image-Based Visualizations with MLLMs cites this paper.

ReVis: Towards Reusable Image-Based Visualizations with MLLMs ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:17:36.987428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:16:46.809152Z digest=sha256:cc177c8f9f20f56850237d8e310ebb8d176b456dc2d6f2a20edb1e626751803a

Observation 83635730-c43a-413f-a836-46d98789db01 · inbound

Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework cites this paper.

Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-06-30T05:34:20.078455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T05:29:47.966776Z digest=sha256:e95a771e4030fe5e64f8da36b84126bd700e62f8a689ea08d9d9352aa7b03ec2