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Paper Citation Record · LEDGER

Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2203.06486.

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

pith.paper-citation-record.v1
2203.06486 v3

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 2026-08-12T19:33:00.731228Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:28.183757Z

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 de5c023c-d9ff-4d3b-8242-16a3b9fe8dc2 · inbound

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices cites this paper.

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T19:33:00.731228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:33:00.731228Z digest=sha256:083560e1d713030dc66ecb51975adc891d13deffb2d0f259345f1fa8aba98c33

Observation ccc8828e-45d3-4790-b386-54e967309154 · inbound

Chimera: Improving Generalist Model with Domain-Specific Experts cites this paper.

Chimera: Improving Generalist Model with Domain-Specific Experts Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T20:13:47.541292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:13:47.541292Z digest=sha256:5f2a34102c08671a15e51dce040b7c39e06d38f31acc3fced51db2b24da03daf

Observation 814e851e-df27-4653-8d17-bd18a9948033 · inbound

PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models cites this paper.

PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T16:56:42.416034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:56:42.416034Z digest=sha256:c7ad8ddaf7394d689ee7e776ce3522df62ef142185497c3dbfe6502a805f79ca

Observation c0d0f8f9-24b0-4182-a9ae-f39dc7c599cf · inbound

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding cites this paper.

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T10:49:08.093786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:49:08.093786Z digest=sha256:2d555f7f25f92e2ac3ed3028f79db83ff9624b2956a55bb1cd3e8ffdd77533d2

Observation de89f538-20b5-4a89-8041-ada1f5a34712 · inbound

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation cites this paper.

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:03:44.424345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:03:44.424345Z digest=sha256:e3f8c9a1b30f8d8827703bf9f56e9a009b660726d44a0d6a0f8ccd143fd436d4

Observation 473d8ed7-0bab-4c28-9740-59881fa8537d · inbound

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models cites this paper.

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T18:04:34.187518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:04:34.187518Z digest=sha256:d9992333da221b22dec961b03d6fca78bcd4adf05cb6495dc06e566450675204

Observation 10467891-2714-4027-ad4c-df9200018a11 · 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: A Large-Scale Benchmark for Chart Summarization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T20:34:02.232078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:34:02.232078Z digest=sha256:9f69d04df6b7fad8ffbcd244c2b207fa79b8f5bef5cfcfb2098c334c1e92fc6a

Observation 3441f685-b6c8-42f2-b1d0-337282cc547d · inbound

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding cites this paper.

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:52:01.869407Z

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=2026-05-22T19:49:00.961388Z digest=sha256:78030b59a7fb973cd3a1107b2bffc9cee628fae077090dc499a37bbdf87e950f

Observation 15eda6b2-82b3-4e1d-b4a1-2c2e4e55c657 · 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: A Large-Scale Benchmark for Chart Summarization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:07.254263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:07.254263Z digest=sha256:554912211ddc64d42e2f2f95f1b0a41641ee38be8e949c78fdff8d28fe511f8a

Observation c7461296-ffc3-4d15-b873-13d8a0f9edc1 · inbound

ChartLens: Fine-grained Visual Attribution in Charts cites this paper.

ChartLens: Fine-grained Visual Attribution in Charts Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:20.107482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:19:20.107482Z digest=sha256:c3f3f8253c223f0b3faf7c529e5910d3037b53e8741b1e709e8643b8e41afcf8

Observation ba8bd960-3cf4-44d1-8237-63a341787740 · inbound

Mixpert: Mitigating Multimodal Learning Conflicts with Efficient Mixture-of-Vision-Experts cites this paper.

Mixpert: Mitigating Multimodal Learning Conflicts with Efficient Mixture-of-Vision-Experts Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:25:05.491908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:25:05.491908Z digest=sha256:08300393ca1427a9cbfa672b8ebbbcf736c00b8fdaca57546f2f0d4e53dd97b8

Observation c1474023-82b6-4b32-be90-265dbf797445 · inbound

CoMemo: LVLMs Need Image Context with Image Memory cites this paper.

CoMemo: LVLMs Need Image Context with Image Memory Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:30.264586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:30.264586Z digest=sha256:d6fd36b35ccbe5edd1be90b071ce0a948697459c09544daced4b2791b2f4a36c

Observation 90f3a980-6a74-4870-a8e9-b0c0444ae5c0 · inbound

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

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T15:52:14.468185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:52:14.468185Z digest=sha256:3ec9abdd574ba211df365fa402f48dbd2ca5c3821cba39ee82f912cee7787d06

Observation b1fad75e-c94b-47ad-a4bb-e2f7792c7185 · 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: A Large-Scale Benchmark for Chart Summarization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T11:07:33.280647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:07:33.280647Z digest=sha256:986b65a46ee34719ae8b3208408406c07e184fb65d50470269e0c2c5f1a399cf

Observation a49ed357-4ed8-4e06-b080-af5c7bc6cd12 · inbound

Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing cites this paper.

Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:28:23.583091Z

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=2026-05-15T00:25:19.782732Z digest=sha256:a3672bec80f5c3d28bc0dc10d51bc943b1d560ef809e2d17fbd1d157a0b58281

Observation 46f6f790-c6bd-4b98-956a-a41c8c78e18f · inbound

ABot-OCR Technical Report cites this paper.

ABot-OCR Technical Report Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:33:28.185241Z

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=2026-06-29T13:29:17.221676Z digest=sha256:e86cf98641964ee33026540657c12790edc228ce37ddf52db9e627aadb06399c

Observation 65a8dee8-0621-4d09-883a-cc87911fbf3f · inbound

Chart Deception in Vision-Language Models: From Vulnerability to Mitigation cites this paper.

Chart Deception in Vision-Language Models: From Vulnerability to Mitigation Chart-to-Text: A Large-Scale Benchmark for Chart Summarization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T11:31:19.794388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:31:19.794388Z digest=sha256:15d23c86c33c76d1d91fda7eda5f6f33d4a842ce768085a9e2c0f586e186bb1b