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Paper Citation Record · LEDGER

SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2308.03349.

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

pith.paper-citation-record.v1
2308.03349 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:19:00.443849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:24.069851Z

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 17ff97ea-0380-48ab-89d7-116dadfafa37 · inbound

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models cites this paper.

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:22:04.264027Z

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=2026-05-17T01:22:04.035994Z digest=sha256:9a0e860130861436cb2489586d7d3524989371d31ddb68c97148f9c03549ffcf

Observation 089e4315-1e3f-4b8b-a16e-49ca120604db · inbound

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? cites this paper.

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:00.443849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:19:00.443849Z digest=sha256:43cd9de149e706d1caa2662bf84368e3a4d8d3381300030f02b81c0fb82d229e

Observation 59ba2f8d-11f9-4300-9460-2dbe7489b6f2 · inbound

Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models cites this paper.

Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T20:35:57.792209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:35:57.792209Z digest=sha256:3f9d51b224149673616345ca2e16c69a123592a71fdb0235fc2c5ed24a9f1b64

Observation 8f0f219a-4a6f-4873-ac44-96b40b2cf966 · inbound

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning cites this paper.

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T18:12:26.867540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:12:26.867540Z digest=sha256:b3328f44c61dd7cbd4a03b29b7a55b7271d11fa725aae19375bc9f16cdc64484

Observation 851cc8ac-244a-484a-ad70-ebee9f147aef · inbound

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

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T15:52:14.657843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:52:14.657843Z digest=sha256:d24be207d9cfd110b33e1a47aadd7e718b611c1aa851691349cb4b23fb2f3ff5

Observation 7b62963d-677f-45f9-9d70-3e2236e3d7ba · inbound

Evaluating LLMs for Visualization Generation and Understanding cites this paper.

Evaluating LLMs for Visualization Generation and Understanding SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:46.187936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:46.187936Z digest=sha256:20963911ed52fbe05d41f3b3a62f41ca3943816c058915f8fdeed1c841b89d05

Observation 3f1be168-6af5-4343-94d5-86f944f3708a · inbound

CAGE: Bridging the Accuracy-Aesthetics Gap in Educational Diagrams via Code-Anchored Generative Enhancement cites this paper.

CAGE: Bridging the Accuracy-Aesthetics Gap in Educational Diagrams via Code-Anchored Generative Enhancement SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:00:47.873791Z

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=2026-05-10T19:26:13.091254Z digest=sha256:72dae9a7b4b24bd4f744f37d1073822af49c624059fb5eb03ef0d3984b1c6950

Observation 7117c27e-ebfe-45a7-ba28-ad49300f3887 · inbound

PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Models cites this paper.

PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Models SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:26:56.364161Z

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=2026-06-28T02:10:12.974244Z digest=sha256:c6653cb14f25d04809e61cc364176f4c4de2a624327998cf84c2f874885343ac

Observation b15d263b-a1ab-4872-952d-f49dd498020f · inbound

Constrained Dominant Sets for Multimodal Document Question Answering cites this paper.

Constrained Dominant Sets for Multimodal Document Question Answering SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:21.699049Z

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=2026-06-27T20:45:12.783718Z digest=sha256:2a1877e163e75efbe9828edbc9f0b997228601e0bdf79704002218d190e79c82

Observation d5d9259e-de7f-4f78-a624-336be6722b4d · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 162

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:47.679025Z

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=2026-06-30T01:16:16.834861Z digest=sha256:f744ee15019c31b7d6086986fba32f5161ee60e062fd12318c3781dcc903ec90

Observation 6874f9ca-ce76-4655-b0b4-a8a58cc487be · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 162

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:17:24.071260Z

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=2026-07-02T21:10:10.548489Z digest=sha256:6ee0373af22729711262e19a28c8b7a7db97f945668cf97d429c1cec492fcaeb

Observation bb94c7e6-4456-4e01-8694-8d7cdd16eeb1 · inbound

SciFigAlign: Scoring Scientific Figures by Fine-tuned Alignment of Visuals with Manuscript Evidence cites this paper.

SciFigAlign: Scoring Scientific Figures by Fine-tuned Alignment of Visuals with Manuscript Evidence SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-30T12:14:15.801312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T12:14:15.801312Z digest=sha256:a8a49f6803b9b8a0474b45544928a9291fab9ce6a421c59dda9f1eda8f82dd85