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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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=sha256:995098a6bcb9082cc9b9c5eeb7ca4dc8be5c2e8281a696a07a8161bc407532b7

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=sha256:9a54a773ce82911b148e79afedf750a358b5ebad23f3ca1ff5ef8628df861fe8

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=sha256:6829d67674e8e29926e22acd0b2be33b864172f7244b98322c200bc7871a5e6e

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:b80f16a4b57db36071688f1340144888bdcf246ffdfe4e3f0802df822a9649ed

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=sha256:0fdbb7bbc228f30dd227cac1c81fefd43a2e8819a8f3e1e0203032e356f49ea5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-16T20:53:15.454462Z digest=sha256:7df0f3815fd250322fb735c1e36357d2a72c60e34dda6643083ea9f7cbcc48ec

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T08:16:46.809152Z digest=sha256:a32bcde94cdf18e5e58c046117600a000aba001cde48ec655b30d6deae6ed3fe

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T05:29:47.966776Z digest=sha256:df907b2fa27e1b4ef4ad8cdb612ae2f8ca54fdaec63449dc3f7d4e8ed53ad71a