Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.10160.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T04:43:34.929204Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T03:55:59.684323Z
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 b7996512-1ca1-4b0c-aefc-b794b4230dbe · inbound
CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.
CodeMind: Evaluating Large Language Models for Code Reasoning Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:55:59.690061Z
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.
Observation f91d606d-b81f-401c-861a-020c23f35c10 · inbound
ChartCap: Mitigating Hallucination of Dense Chart Captioning cites this paper.
ChartCap: Mitigating Hallucination of Dense Chart Captioning Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:43:34.929204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5403e4a4-25aa-4cb0-b278-de929c8dd958 · inbound
Adaptive Sparse Softmax: An Effective and Efficient Softmax Variant cites this paper.
Adaptive Sparse Softmax: An Effective and Efficient Softmax Variant Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:41:37.953039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa15ddd0-733f-4020-a8fd-3e2b20c2a241 · inbound
Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models cites this paper.
Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T06:00:57.179242Z
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.
Observation 25d3b808-e9c1-4005-9acc-393b78017e8b · inbound
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:15:20.174632Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.