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Paper Citation Record · LEDGER

ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2504.05506.

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

pith.paper-citation-record.v1
2504.05506 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:24:08.322949Z

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

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

External citation measurements

1
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 a58e552c-b316-4078-bb70-3430e9fedaf3 · 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 ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:38:32.515014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:38:32.515014Z digest=sha256:a757a16dea8d68142351687354992f4b179da5cecb7befc8f1ccfcea8c702d9b

Observation c027a98e-a9e1-4ea7-bf6c-cdc626865f15 · inbound

Describe Anything Model for Visual Question Answering on Text-rich Images cites this paper.

Describe Anything Model for Visual Question Answering on Text-rich Images ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T16:51:25.669672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:51:25.669672Z digest=sha256:c63c7a2a79cb5fcab619163e46e7022e7103f1455dc639b0178bdccc765fa0c5

Observation bd9394ee-27c1-4d83-ad73-20f2d6ae886d · inbound

Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation cites this paper.

Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:08.322949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:08.322949Z digest=sha256:e4bc3215a421782524ac3642985c8f7668ef1976bcbfd1a92437858d6884ad7e

Observation e2c02ee2-1509-47f7-9eeb-19684f2744e5 · inbound

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

DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T17:06:29.122334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:06:29.122334Z digest=sha256:7cb3031e44d45a0b898d8166160c0a0d080dff5dd58ead4ad6ef315b955840e2

Observation 284641a3-6808-44f5-bce0-3e35d4680417 · 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 ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:53:31.149714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T20:53:15.454462Z digest=sha256:ef2bd1dbd8990bbecd405bb9c3ba36075f25f6f9abb99d58807bb4c074a7b49c

Observation abd8def7-b276-4561-b8a2-0909cc3f8996 · inbound

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

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:12:54.804361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T13:12:01.889341Z digest=sha256:d626d98d44f9eaaceac332f85296a844403fbc58ebbee5517b554aa0906559bb

Observation 8bdef26a-a6db-4a77-bcf9-16fceafeb0c5 · inbound

ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding cites this paper.

ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:39:32.864826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-14T22:39:06.113655Z digest=sha256:e1da16b24b10f8ce87e12f5a4c7cdd27c742310894ad60088a0b03734b1b6255

Observation 46239a27-275e-452c-a161-d15c3791ea58 · 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 ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:03:12.094224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T20:02:44.124502Z digest=sha256:90f67909c41e37de56bf19a6bcdc9ecb7aea99f98a7bdba521e64fe9661b156f

Observation 2a8bab18-280d-46a7-af03-206bcc96540f · inbound

Unlocking UML Class Diagram Understanding in Vision Language Models cites this paper.

Unlocking UML Class Diagram Understanding in Vision Language Models ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:42:02.613070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:063796afa181e07747831746d561c2e105b704b2a7b3901b78aabbf04171db04

Observation 380d7545-c49a-4203-a2c8-b21d49575125 · inbound

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

EpiCurveBench: Evaluating VLMs on Epidemic Curve Digitization ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:33:50.496796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T18:30:28.660080Z digest=sha256:519843335b869affc9e6ac549a96d4e1968ae7a4946810db6b12f5cc8bea0f34

Observation a0291dae-63ec-497e-8fe1-4f28eefade7f · inbound

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

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:19.894515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T14:55:07.045625Z digest=sha256:7b15fa53491b33c5f8d8a93d24cf23918c781506c3c4b3fefc05b1a35e05c232

Observation 6df93898-330a-4b25-9e37-9fed1d0ca964 · inbound

Vibe Visualizing: How Visualization Novices Try (and Fail) to Generate and Interpret Visualizations with Conversational AI cites this paper.

Vibe Visualizing: How Visualization Novices Try (and Fail) to Generate and Interpret Visualizations with Conversational AI ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-27T19:01:08.733208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T15:23:59.780130Z digest=sha256:bcdd6d5795356e46082a899350293cd506e77552e8014e3ecdd25c9354408ee9

Observation 5262629e-2dea-445d-82e2-ab840f87c4c6 · inbound

ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs cites this paper.

ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T12:49:52.140625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T06:02:40.752332Z digest=sha256:6c2a9660237a20d14f91d81d2714bd691a5965970a4c5e898f0db8b4a7bcfc22

Observation c32d6518-6105-4fd5-af2c-e2a947f9faf9 · 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 ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-06-30T05:34:20.100571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T05:29:47.966776Z digest=sha256:5fece0c184d391637f523a5f8d8b9b7ce56e479673f60af38eb3837a46f59b5d

Observation 8ab833c1-1837-436e-bbc2-a6f84b2c3ff5 · inbound

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity cites this paper.

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:07:17.366291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T18:57:46.841456Z digest=sha256:d1354cfce1fc1c21ec24dd588637b2036ee8210959d221615e2d7f0fdeda6343

Observation f9bbe934-2199-4c20-8eeb-c1dfb9c468a3 · inbound

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

Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T11:47:24.977601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:47:24.977601Z digest=sha256:a625eada386a3bb27213a7153a429d2f798c6286c3cf51474399e05cb29b5c1b

Observation 735d907b-224d-4e5f-b7a7-b5c7ff405265 · inbound

Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model cites this paper.

Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 135

Resolution
unresolved
no resolver link, observed 2026-07-31T06:20:14.160580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:20:14.160580Z digest=sha256:3ae877abf9f4d3d7db9ddcaba3107eae79dbfcf5527fbb9511131b9adc09dae3