Paper Citation Record · LEDGER

Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2010.09142.

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

pith.paper-citation-record.v1
2010.09142 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:12:20.391352Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:14:53.343954Z

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 65c76bd8-365a-4faf-a406-bf01ee40d7f0 · inbound

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction cites this paper.

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

Reference 171

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:15:47.101811Z

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.

Observation 81cfad73-fd74-4cb7-bd6a-2c9e8c01bb1a · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

Reference 191

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:23:57.886565Z

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.

Observation d2da5e3d-0290-4685-af86-03f2e1453a68 · inbound

ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset cites this paper.

ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:20.391352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c16e678d-dd11-47ad-acc3-de29895c3dde · inbound

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023 cites this paper.

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023 Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T20:34:02.283416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8200958f-171a-402b-b7ed-b0225dd93870 · inbound

Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts cites this paper.

Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:09.288008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bba89d1-e284-4e84-8a22-a6a882b4b3e8 · inbound

ChatVis: Large Language Model Agent for Generating Scientific Visualizations cites this paper.

ChatVis: Large Language Model Agent for Generating Scientific Visualizations Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:07:33.342919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659ba458-6272-40f5-abac-4431998153fe · inbound

Semantic Prompting: Agentic Incremental Narrative Refinement through Spatial Semantic Interaction cites this paper.

Semantic Prompting: Agentic Incremental Narrative Refinement through Spatial Semantic Interaction Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:36:10.090818Z

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.

Observation 8577c588-2743-4a12-9d36-20a2cebb52b5 · inbound

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models cites this paper.

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:15:20.055185Z

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.

Observation 305e0d9d-243e-49c0-8a0e-0deda6ecc5bc · inbound

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models cites this paper.

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:14:53.346054Z

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.

Observation 540f731a-7f2e-4e3e-bf0c-086888801b6d · 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 Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-06-30T05:34:20.087591Z

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.