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Paper Citation Record · LEDGER

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback?

As of 16 August 2026, this Paper Citation Record lists 100 of 242 outbound references and 0 inbound Pith citation observations for arXiv:2608.10408.

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

pith.paper-citation-record.v1
2608.10408 v1

Coverage vector

measured 100 of 242 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:25:39.957770Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 242 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 983ab64f-1098-452e-9b33-8dba05a33cea · outbound

This paper cites Attention is All you Need , url =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Attention is All you Need , url =

Reference 1

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source=arxiv_source observed=2026-08-15T14:25:39.488877Z digest=sha256:caca320027be2d8e685e02ffe627aa9f3c7ccd2dc5cd4537fcafb3c2d66e9962

Observation 9c6abccd-bc0c-4351-88f1-456878a38f83 · outbound

This paper cites 2014 , edition =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2014 , edition =

Reference 2

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source=arxiv_source observed=2026-08-15T14:25:39.493866Z digest=sha256:83041d8d9ee38c980dea0f09ec61e6738f257ab8cc3f765360afd99086b34e41

Observation 5d4f9468-cf0d-4013-913a-825b013242af · outbound

This paper cites IEEE transactions on visualization and computer graphics , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? IEEE transactions on visualization and computer graphics , volume=

Reference 3

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source=arxiv_source observed=2026-08-15T14:25:39.499540Z digest=sha256:58cff8e2a1c00096cdb6857dc475a2dadeff878dbbf58166241f2ba63b92a819

Observation 2da1d6ba-cf56-47bf-8f65-5cc0ba6deb40 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 4

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source=arxiv_source observed=2026-08-15T14:25:39.504351Z digest=sha256:f3e0db9fe7de7a68e94e6b55a9830b00f4f466130ba2ce22443d00f50c87e38b

Observation 354e91fb-10ad-4c50-aa56-f4a57ad8abce · outbound

This paper cites Is ChatGPT a General-Purpose Natural Language Processing Task Solver?.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Reference 5

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source=arxiv_source observed=2026-08-15T14:25:39.509539Z digest=sha256:31aa99a68cd3a3a2adc0665648a8030d774bb941a3f7e59872451589d7bb661a

Observation 61da5a68-fb85-47c6-96eb-8c263ade93a2 · outbound

This paper cites Language Models are Few-Shot Learners , url =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Language Models are Few-Shot Learners , url =

Reference 6

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source=arxiv_source observed=2026-08-15T14:25:39.514845Z digest=sha256:59d0f8cd88d865567cf8fb3a5cd7d6184c0dd68a38aab15fdf0d4a43fea090f0

Observation dbba4a29-3183-429f-ab3f-743e201c3ab6 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Transactions of the Association for Computational Linguistics , volume =

Reference 7

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source=arxiv_source observed=2026-08-15T14:25:39.519236Z digest=sha256:ecfb3ffa7367feb7269f5ad653387b37f7e7db66a3e8ad9940eb102aceeaad91

Observation 511eb6ba-0f01-4c50-9c8e-75db434a0354 · outbound

This paper cites EDA : Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? EDA : Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 8

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source=arxiv_source observed=2026-08-15T14:25:39.524227Z digest=sha256:3267d02979d9946d7675591b2abb31ea09822404f84d2684e5d26309b9a21627

Observation c14048bb-f74d-4d7c-943c-c0a8c7cf6855 · outbound

This paper cites International Conference on Learning Representations , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? International Conference on Learning Representations , year=

Reference 9

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source=arxiv_source observed=2026-08-15T14:25:39.529292Z digest=sha256:8b2afbdad4b6ee99efb5d80d0a3d6e61238decaa79c553cc7a2e64605fb731e6

Observation d88fcaf8-c919-4788-b357-fada90764b58 · outbound

This paper cites Injecting Numerical Reasoning Skills into Language Models.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Injecting Numerical Reasoning Skills into Language Models

Reference 10

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source=arxiv_source observed=2026-08-15T14:25:39.534020Z digest=sha256:61b810f134d31bb01def0922d1e447b727e1fbead51298c61063107b721e2edf

Observation f73a8af1-a4fd-4e11-8311-e2734e9fd99e · outbound

This paper cites L ogic2 T ext: High-Fidelity Natural Language Generation from Logical Forms.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? L ogic2 T ext: High-Fidelity Natural Language Generation from Logical Forms

Reference 11

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source=arxiv_source observed=2026-08-15T14:25:39.539125Z digest=sha256:44f1f699497d5e885125214990fd5b9361d623dd6fd3335a5143db9fd8c77ccf

Observation 6c7eaf35-8d13-4790-afc2-fe00b9dbe86c · outbound

This paper cites BART : Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? BART : Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 12

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source=arxiv_source observed=2026-08-15T14:25:39.543697Z digest=sha256:cce5d734a4f653744fcff9fd8e7ac7e3d96dbec7c852b2b64316fc5370477912

Observation d45ae968-0e31-40a0-b339-dd5a976f9048 · outbound

This paper cites A Call for Clarity in Reporting BLEU Scores.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? A Call for Clarity in Reporting BLEU Scores

Reference 13

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source=arxiv_source observed=2026-08-15T14:25:39.548770Z digest=sha256:37a361bbd0225f6f42e0393c839b248b2faddf07871bdf25ad8db90d83cece69

Observation 34c01f6b-c9e7-42b2-9bac-2cd5649a15e4 · outbound

This paper cites Aho and Jeffrey D.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Aho and Jeffrey D

Reference 14

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source=arxiv_source observed=2026-08-15T14:25:39.553559Z digest=sha256:af5fcc2d8ee7fd91314d708c633a6567ec1e2bc6b4c45e8223e7eb58e6832250

Observation 2084e2c4-7487-4239-9726-e11270531fa1 · outbound

This paper cites Liu , title =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Liu , title =

Reference 15

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source=arxiv_source observed=2026-08-15T14:25:39.558141Z digest=sha256:da8ee59dde1c5d261be11fdc7b8df43b7f25af5793219085c5200cc9713fc37f

Observation 95557cbc-e640-49e4-8fb7-c770a7c6cf76 · outbound

This paper cites Journal of Statistics Education , volume =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Journal of Statistics Education , volume =

Reference 16

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source=arxiv_source observed=2026-08-15T14:25:39.562642Z digest=sha256:6d581e31df4261bb737df0f901bd344b4d43fd21ec1d5f802ee277de60ea91c0

Observation c0106c22-8256-44e3-9169-7f6202f1563e · outbound

This paper cites Irish Educational Studies , volume =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Irish Educational Studies , volume =

Reference 17

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source=arxiv_source observed=2026-08-15T14:25:39.566938Z digest=sha256:cbd248951a99bfc3312e933d2ec52899e8e27148d7aac34fca56dbb6d5c7112b

Observation b37a52be-412a-4d48-a772-3077191ab8fb · outbound

This paper cites 2019 , journal=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2019 , journal=

Reference 18

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source=arxiv_source observed=2026-08-15T14:25:39.571485Z digest=sha256:f117864bf7bbdc7f60a2f366d31f337f52edebb6f854df4b95fa62ad99bee55b

Observation ef226e25-94a4-43e2-8fb0-803ade90ecd0 · outbound

This paper cites Proceedings of the 13th International Conference on Natural Language Generation , publisher =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 13th International Conference on Natural Language Generation , publisher =

Reference 19

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source=arxiv_source observed=2026-08-15T14:25:39.575698Z digest=sha256:ecac886b7ff40a14227eda2b3722fd79f531eac6d4536ba3d6fde00d1a347384

Observation f84b4e41-f1f2-4241-8946-be8461d3e1f2 · outbound

This paper cites 2021 , type =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2021 , type =

Reference 20

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source=arxiv_source observed=2026-08-15T14:25:39.580263Z digest=sha256:8406cdacb1b54649144692d3cd7623e9dd98bc98b0636b0f98066a6cda8a2279

Observation b55f43a6-bfac-4c2e-ac0e-8ed58f34e82e · outbound

This paper cites and Choudhury, Sagnik Ray and Giles, C.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? and Choudhury, Sagnik Ray and Giles, C

Reference 21

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source=arxiv_source observed=2026-08-15T14:25:39.584792Z digest=sha256:6d35317c10d3d6da2bbd799f7677400cc224d1a3c8732a4cb2fedca5b748d4bc

Observation bd2d6eea-0f41-4da2-b4ac-16501c5ea107 · outbound

This paper cites an unresolved cited work.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-15T14:25:39.589240Z digest=sha256:00428f775e647c1a9bc0bdaa6dbea7583e70050c292ec9f8be19e5da496baa6d

Observation c49cc378-3638-4d37-a122-fc4136a68af6 · outbound

This paper cites Chandra and Dexter C.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Chandra and Dexter C

Reference 23

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source=arxiv_source observed=2026-08-15T14:25:39.593598Z digest=sha256:f9efeb28de71da0d5d8526ccd1a21b3bb70ad74a9fe16a633d002f4dc410814f

Observation a39f487f-aa60-4e16-b035-de9e4012f4f7 · outbound

This paper cites Scalable training of.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Scalable training of

Reference 24

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source=arxiv_source observed=2026-08-15T14:25:39.597993Z digest=sha256:45e0093c04140fc2f17a4fd281538fa7b04ef680d6f09ceeec0015cd558abd6c

Observation 0ce1797d-82dd-4135-86ca-b8817541340c · outbound

This paper cites an unresolved cited work.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-15T14:25:39.603073Z digest=sha256:75c694168f8782787883718b4173dd3b9abad845b5490354d980e2ed57e67fa2

Observation d4687fb8-c3c4-4aac-8329-d7426d674193 · outbound

This paper cites Tetreault , title =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Tetreault , title =

Reference 26

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source=arxiv_source observed=2026-08-15T14:25:39.607491Z digest=sha256:9b58477a5545ad3d5f7f3d043b6dd75ce68dd5ae19f12f7ad75dc105ce81a7a0

Observation de25d929-a716-4cdd-80ed-540284ce7c04 · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 27

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source=arxiv_source observed=2026-08-15T14:25:39.612046Z digest=sha256:ff7bf8e2df3b5257672e91352f123c66132887fe4ecf5a8cd102b6e8a0a5293b

Observation 3906bc30-1e45-4e02-9e00-e74be3a1271a · outbound

This paper cites Proceedings of the IEEE International Conference on Computer Vision , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the IEEE International Conference on Computer Vision , pages=

Reference 28

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source=arxiv_source observed=2026-08-15T14:25:39.616598Z digest=sha256:335cdbb53bbb6f395c23ecb1371cbe41504152145ab527867698d5320c647e38

Observation e4de9f2c-f56e-4dc9-b57b-32fccf8786fe · outbound

This paper cites 2015 , eprint=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2015 , eprint=

Reference 29

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source=arxiv_source observed=2026-08-15T14:25:39.621820Z digest=sha256:67f7734c37541c7b12ef124d3b20c59f499061df0a974433b53664088f4ce239

Observation e00d1acf-2846-4c7c-b2b0-05a2c13d340f · outbound

This paper cites ECCV 2020 , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? ECCV 2020 , year=

Reference 30

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source=arxiv_source observed=2026-08-15T14:25:39.626141Z digest=sha256:d88e1c7865f0c6b6fd57e18b74941f4bfcb6e06897ff0dcd84f4a93f795267bf

Observation f3a7700c-cb69-4713-a05d-7a6984e21d5d · outbound

This paper cites 2019 , eprint=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2019 , eprint=

Reference 31

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source=arxiv_source observed=2026-08-15T14:25:39.630578Z digest=sha256:29be3c29423ff0aa9a6f204497e469d53aa1e08169be541abd219d6ca2a5d279

Observation f3d49247-4bf2-4e5d-a0ac-f5d984264e97 · outbound

This paper cites Lawrence Zitnick and Devi Parikh , title =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Lawrence Zitnick and Devi Parikh , title =

Reference 32

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source=arxiv_source observed=2026-08-15T14:25:39.635030Z digest=sha256:a2930888e147fb1ea6ea8cbb01efefc9ce9cc3087444505f81922d2e75756393

Observation 445b3a6f-cb96-489f-a4ea-cb31ebc7730f · outbound

This paper cites The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 33

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source=arxiv_source observed=2026-08-15T14:25:39.639536Z digest=sha256:8d0c90e9fcb8603be835011f66d25236d8ce42eed0b195bdd74736fd44c4fa27

Observation 5d94683a-a2c3-43f4-bda3-f4d62c297886 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 34

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source=arxiv_source observed=2026-08-15T14:25:39.643822Z digest=sha256:62f8655010e8838f8ffaedf74800ae70a7955ae8ef6c198bd68f3de4060193ae

Observation b160b41c-2380-4d9a-a957-2677b5adc41a · outbound

This paper cites 2020 , eprint=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2020 , eprint=

Reference 35

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source=arxiv_source observed=2026-08-15T14:25:39.648266Z digest=sha256:6775fa8ed6d8c299ca378df421a1aa39d742b149983c973712ee117a6b10bfbf

Observation ec9f3953-4752-4921-8407-b27f85b7f755 · outbound

This paper cites BLEURT: Learning Robust Metrics for Text Generation.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? BLEURT: Learning Robust Metrics for Text Generation

Reference 36

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source=arxiv_source observed=2026-08-15T14:25:39.652873Z digest=sha256:5f32d9a9a4968b5e74091533a5bac64e86b1afabd49f39d20f3de88033926a20

Observation 563f2f6b-bbd0-4eaf-bccb-429a2c0a0011 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 37

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source=arxiv_source observed=2026-08-15T14:25:39.658064Z digest=sha256:f50b1f0ac78ddcb25b38d11a7421f719933b73f8630d430cbe898b45c8a59bd0

Observation e1ea5554-99ca-4ac5-80d7-18ef788f0d03 · outbound

This paper cites Evaluating the Factual Consistency of Abstractive Text Summarization.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 38

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no resolver link, observed 2026-08-15T14:25:39.662932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.662932Z digest=sha256:1fa3db9b40ddf40ca524e1c19c99c691076294e8419e5e225ea23cd42012b7ad

Observation b78ff66b-934e-4b5e-b92a-9016dd6bfabc · outbound

This paper cites , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? , volume=

Reference 39

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no resolver link, observed 2026-08-15T14:25:39.669141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.669141Z digest=sha256:9ded2676a1d9ad4fdf81f3f25e9d80f1309c0651fb684df44538b2b557aecfa7

Observation ee7f3ca8-67b1-4e81-9d8c-53e76e4fdd18 · outbound

This paper cites Enhanced Transformer Model for Data-to-Text Generation.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Enhanced Transformer Model for Data-to-Text Generation

Reference 40

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verified exact
doi, observed 2026-08-15T14:25:40.810193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:39.674014Z digest=sha256:3abd571ec2bebf413646e59b1006321b111f27a65841bfeac59e2a6b0bf51c0e

Observation 2c89c47e-0185-4149-9d90-021078e9b3e0 · outbound

This paper cites an unresolved cited work.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-15T14:25:39.678552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.678552Z digest=sha256:ee85908a5ca6f24da2c1a78759176437b0643388cfec6c3a51a46f60fbd2bdff

Observation 328e1fd7-39e7-43f5-b9e4-f4ec3d2a7f27 · outbound

This paper cites Logical Natural Language Generation from Open-Domain Tables.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Logical Natural Language Generation from Open-Domain Tables

Reference 42

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unresolved
no resolver link, observed 2026-08-15T14:25:39.682756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.682756Z digest=sha256:d8d09834ad1afc501d5f81664434a1bdbf0cabc96c88fa6c02630ca68e9587b7

Observation 6940a157-35f7-437d-b96d-e0ac2178d7ce · outbound

This paper cites Neural Text Generation from Structured Data with Application to the Biography Domain.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Neural Text Generation from Structured Data with Application to the Biography Domain

Reference 43

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unresolved
no resolver link, observed 2026-08-15T14:25:39.687163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.687163Z digest=sha256:cb1c7d34eddc50d1fb61e493024ff1fbd0679d8d405393e4449678f15bb21f5c

Observation e52dd40a-eca0-4bba-98b5-c37c346e4642 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 44

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unresolved
no resolver link, observed 2026-08-15T14:25:39.691855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.691855Z digest=sha256:e878d3b47e54914ce8b4a30bafda8385a82fc2e68b12100d2ff3be9e12608505

Observation 69ba891c-1942-407e-b130-029252c1363f · outbound

This paper cites Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Reference 45

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unresolved
no resolver link, observed 2026-08-15T14:25:39.697193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.697193Z digest=sha256:7c508d58c9294fffbeb764c14973fe6c08bdbbfdc181eeb3eab85c880fedb530

Observation 9f8af9fb-3a55-48f4-8291-d41a13eb700f · outbound

This paper cites Long Short-Term Memory , year =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Long Short-Term Memory , year =

Reference 46

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unresolved
no resolver link, observed 2026-08-15T14:25:39.702025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.702025Z digest=sha256:c7773e617df1093f391799b920cf281f7d45464ce943b8eeecdc04809611e48a

Observation 63d92f2f-584e-49f1-8c28-8d60a301a798 · outbound

This paper cites Barlow Twins: Self-Supervised Learning via Redundancy Reduction.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Reference 47

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unresolved
no resolver link, observed 2026-08-15T14:25:39.706430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.706430Z digest=sha256:5628c3254e59951bdf4d70078613682864a71528875a22cdaf42161c2328af93

Observation fb8c5829-ac07-419a-bb38-98aa52557e91 · outbound

This paper cites International Conference on Computer Vision (ICCV) , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? International Conference on Computer Vision (ICCV) , year=

Reference 48

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unresolved
no resolver link, observed 2026-08-15T14:25:39.710872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.710872Z digest=sha256:5f2c22ca1ec0b7be3cc67ddaa3efa78b72378faeb904793a0cf36bd8e576f137

Observation 5a6d22d6-6bda-4807-8420-939a3b035e97 · outbound

This paper cites Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing , year=

Reference 49

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unresolved
no resolver link, observed 2026-08-15T14:25:39.715065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.715065Z digest=sha256:d79366ae071952b1cfeacf7e426dd3ba9770842dc562a0c9969bd891aa46a77c

Observation 68a1315c-618b-4718-93db-c4b229c51186 · outbound

This paper cites ImageNet: A large-scale hierarchical image database , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? ImageNet: A large-scale hierarchical image database , year=

Reference 50

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unresolved
no resolver link, observed 2026-08-15T14:25:39.719370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.719370Z digest=sha256:ab30ed4fd9d54dc1a8deae9d9edac8553c36a5e7c92c19b564ac0b0428ccf687

Observation 8f04135b-b023-41ec-9add-34ea293f1982 · outbound

This paper cites Computer Graphics Forum , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Computer Graphics Forum , year=

Reference 51

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no resolver link, observed 2026-08-15T14:25:39.723613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.723613Z digest=sha256:18b88b6862c98702b3a50dd4d28e9debc654911c61a039f8f9ac7a2a0f55c517

Observation 62d8cfb8-1aa8-47be-9ca6-9eca399cec1a · outbound

This paper cites Proceedings of the 3rd Workshop on Neural Generation and Translation , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 3rd Workshop on Neural Generation and Translation , pages=

Reference 52

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unresolved
no resolver link, observed 2026-08-15T14:25:39.727747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.727747Z digest=sha256:9bd50e6912e5e85c32c01d2e27fe3d2b93c01ec9e2313bbde79692441f8b839e

Observation 861b5a0d-faa3-4535-9f55-1e2434a9da4d · outbound

This paper cites Advances in neural information processing systems , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Advances in neural information processing systems , pages=

Reference 53

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unresolved
no resolver link, observed 2026-08-15T14:25:39.732335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.732335Z digest=sha256:d778a63c50212dd643c726a782d6ae2c5f2ba1be91dfbeabe6e2db564e140a8d

Observation d03f336e-f195-4a0e-ace5-e80f7e63a72d · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:39.736894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.736894Z digest=sha256:00d9e16cd3638610ea63bcef0ede6b8f15f7e222c3d328d58ce8b3568172a4bd

Observation 274191a1-016f-4b5b-b35a-9c0b4dbcec6a · outbound

This paper cites Data-to-text Generation with Entity Modeling.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Data-to-text Generation with Entity Modeling

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:39.741312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.741312Z digest=sha256:0fb8519b1c8c65798c745256e3e30cfca94dfd8e20421d07d8d3c95e6d76f04b

Observation 9b25c508-f09e-489c-a5c9-580d62a971bc · outbound

This paper cites What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T14:25:41.734759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:39.745752Z digest=sha256:bc42ee5762b8905764401bf2cc92b0af5bb915cd10bd814837f16448d0c181df

Observation a5df8dc9-70e7-44a7-a2cd-19407e415727 · outbound

This paper cites CoRR , volume =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? CoRR , volume =

Reference 57

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no resolver link, observed 2026-08-15T14:25:39.750464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.750464Z digest=sha256:0608bf2f520881c378df8274ff58bcea8f8a53e210b5b667b46792b0ee2ccf6f

Observation 52a3903c-b758-4a3b-bfa0-5fdc0de9ee24 · outbound

This paper cites Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems , pages=

Reference 58

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unresolved
no resolver link, observed 2026-08-15T14:25:39.754933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.754933Z digest=sha256:910d32945e2a1b166f1598495115cef08218abf1db613250cd2dc002e2546b14

Observation ef21e896-b0e6-4bf1-8810-6a551be7a6f7 · outbound

This paper cites an unresolved cited work.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Unresolved cited work

Reference 59

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unresolved
no resolver link, observed 2026-08-15T14:25:39.759486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.759486Z digest=sha256:dc8c658a4e33f078a4589f0210b74ceaa1d2252672aafa709b1026da8f8eb7fe

Observation f7493bf5-8515-43f0-98f4-61796f2eec4d · outbound

This paper cites FigureQA: An Annotated Figure Dataset for Visual Reasoning.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? FigureQA: An Annotated Figure Dataset for Visual Reasoning

Reference 60

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unresolved
no resolver link, observed 2026-08-15T14:25:39.763812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.763812Z digest=sha256:af3860d11268c7c002349baedf0fedbf1ff1a605f7030b1ba6cb5c7f8bc0853a

Observation d8a8f2bd-f413-415f-8722-f65b6865d35e · outbound

This paper cites Information Visualization , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Information Visualization , volume=

Reference 61

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unresolved
no resolver link, observed 2026-08-15T14:25:39.769072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.769072Z digest=sha256:f4a52b86d170e3e6a3db48754171534a1ddc7bbfce42140a22872b47d2dc5608

Observation d5b678ed-ed68-450b-bf94-c10ed215c084 · outbound

This paper cites and Moore, Johanna D.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? and Moore, Johanna D

Reference 62

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unresolved
no resolver link, observed 2026-08-15T14:25:39.774391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.774391Z digest=sha256:13288f632b80e98133f1b49bd9c628d2df961296179a6b69db357897a3189215

Observation f30c753e-d9ab-475b-aaa8-56232068b382 · outbound

This paper cites Knowledge and Information Systems , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Knowledge and Information Systems , year=

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:39.779367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.779367Z digest=sha256:ca52c55a7dff4850ee927bb569376eee2821df4cf39044e4d3a6defd7c44dca4

Observation 44fb0bfa-4615-47e8-8c86-bff2b771a539 · outbound

This paper cites Summarizing Information Graphics Textually.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Summarizing Information Graphics Textually

Reference 64

Resolution
verified exact
doi, observed 2026-08-15T14:25:40.777962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:39.783878Z digest=sha256:fd66ee4e6d66c338567ffc4496be6849c865f6510c25e4a530064e3339f73414

Observation f937dad3-e572-4f17-9fc4-42ae30950bcd · outbound

This paper cites Rossi and Razvan C.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Rossi and Razvan C

Reference 65

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unresolved
no resolver link, observed 2026-08-15T14:25:39.789276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.789276Z digest=sha256:b1d9cdc38ff35fe8c3e808025160fbe45ca82c7f8f329e599ad0f50963ded85f

Observation 31c6db9d-c2e1-49c2-b024-0d8b5681d72f · outbound

This paper cites Neural Text Generation from Structured Data with Application to the Biography Domain.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Neural Text Generation from Structured Data with Application to the Biography Domain

Reference 66

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no resolver link, observed 2026-08-15T14:25:39.793700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.793700Z digest=sha256:72b69b7819ba6e610967f058bbe905109fcd5a1ce72e1a62c926ee07294e08dc

Observation c225a6dd-a2c3-4a55-b192-935644e2cccb · outbound

This paper cites Walter , title =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Walter , title =

Reference 67

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no resolver link, observed 2026-08-15T14:25:39.798220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.798220Z digest=sha256:34bfadfc24f92bf81b9c54cd6e7db1da6c684fb7e2f726109ec382753bb055d4

Observation 122d84ed-fd0c-41be-bdf6-e838f00ba4d8 · outbound

This paper cites Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP , pages=

Reference 68

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unresolved
no resolver link, observed 2026-08-15T14:25:39.802650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.802650Z digest=sha256:0f9735239d8df63fcc6ea07a7466229c60ee4fdfd5fe3852dfbd03c5db13a968

Observation 9e16e733-808d-46b0-b9c6-1dfe05d427b2 · outbound

This paper cites Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 69

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unresolved
no resolver link, observed 2026-08-15T14:25:39.807308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.807308Z digest=sha256:4f30e76473d24dea1787f31ea2e2c649b39c987799dac7acfdc23f2657d6c590

Observation 3425311f-a639-4f64-abc6-691ebda68d6b · outbound

This paper cites Artificial Intelligence , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Artificial Intelligence , volume=

Reference 70

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unresolved
no resolver link, observed 2026-08-15T14:25:39.811690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.811690Z digest=sha256:b470c22ab78aa5d4e987b8b780ab541e2904f285ae2f060ee5f2f6ec2b0bfa4d

Observation d2f0fe83-604a-42fe-9a89-b469c4a608e7 · outbound

This paper cites Collective Content Selection for Concept-to-Text Generation.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Collective Content Selection for Concept-to-Text Generation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:39.816707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.816707Z digest=sha256:42c816e15a53bfac27ee03cc23d16a8863ed6d077028d64ff278d97f7af590d1

Observation 5e880444-d8e7-4acb-9ce1-29a69bc3ebf8 · outbound

This paper cites IEEE transactions on visualization and computer graphics , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? IEEE transactions on visualization and computer graphics , volume=

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:39.821589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.821589Z digest=sha256:6603ec12bea130163080d3b9708044e11f9a4c1e858a48476538a93e3fe85eae

Observation 98a4c118-d13d-4f5f-8a86-3dc4552b8943 · outbound

This paper cites IEEE transactions on visualization and computer graphics , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? IEEE transactions on visualization and computer graphics , volume=

Reference 73

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unresolved
no resolver link, observed 2026-08-15T14:25:39.826607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.826607Z digest=sha256:5399486eff7ef2ef4abf1a231bb0baa6ea73f3d487cc0f6b4a6431ae7f7afe2a

Observation 31995651-765f-4b74-8d8f-5439606c7aab · outbound

This paper cites IEEE transactions on visualization and computer graphics , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? IEEE transactions on visualization and computer graphics , volume=

Reference 74

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unresolved
no resolver link, observed 2026-08-15T14:25:39.831876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.831876Z digest=sha256:2cbbb8270a12aaa3985260c6b5288c56371fe4ad74a2e0656b86b57cc4784986

Observation e4f24bbd-e9bf-43b4-985f-7247600f5f3b · outbound

This paper cites IEEE transactions on visualization and computer graphics , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? IEEE transactions on visualization and computer graphics , volume=

Reference 75

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unresolved
no resolver link, observed 2026-08-15T14:25:39.836285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.836285Z digest=sha256:8f94076cfbd60da2a1021f95a57e2999cac00938e172c10f154ffdb7f218a439

Observation 1646dfba-13d5-4556-9943-70698c7fade2 · outbound

This paper cites an unresolved cited work.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Unresolved cited work

Reference 76

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unresolved
no resolver link, observed 2026-08-15T14:25:39.840630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.840630Z digest=sha256:1576c07b7f0a6f754a1ab97c9635ad06a246338a1f43a2e57a2642ce64437bda

Observation 519b72bb-e532-4e60-8d8a-dced484b2baf · outbound

This paper cites Applying Pragmatics Principles for Interaction with Visual Analytics , year =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Applying Pragmatics Principles for Interaction with Visual Analytics , year =

Reference 77

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unresolved
no resolver link, observed 2026-08-15T14:25:39.845131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.845131Z digest=sha256:07bc66f234bcede34abbae1732c17d0e4e8dbe74a91d8102cbc4b8990f03ff24

Observation 725c3b24-7d6f-4a4c-b0cd-6553bfd68143 · outbound

This paper cites 2013 , issue_date =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2013 , issue_date =

Reference 79

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metadata mismatch
raw_fallback, observed 2026-08-15T14:25:41.641170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:39.854188Z digest=sha256:ae75e758bad67aec45a3211aa61aaf5adf742aeec66a3ef0f736104b32bc6535

Observation 61c905a4-96ed-48bb-82c1-3d87b47a5722 · outbound

This paper cites Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval , pages=

Reference 80

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no resolver link, observed 2026-08-15T14:25:39.858953Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:25:39.858953Z digest=sha256:d06b36d76f9330834b62b9527f941fd785e4f9b29382e8592d24408dca8c5caf

Observation 7ad7a051-cba8-4878-9539-0f059c037e05 · outbound

This paper cites , author=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? , author=

Reference 81

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no resolver link, observed 2026-08-15T14:25:39.864095Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:25:39.864095Z digest=sha256:b8ab17249e3b277d1a1029bd41db3e26bdbeda3c63e197c70e01515847efd097

Observation e51fb0e4-4cd4-4ce3-adf7-e2eefb26eed9 · outbound

This paper cites Proceedings of the Eleventh European Workshop on Natural Language Generation , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the Eleventh European Workshop on Natural Language Generation , pages=

Reference 82

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unresolved
no resolver link, observed 2026-08-15T14:25:39.868701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.868701Z digest=sha256:fb81bf77c232549a3985a9ae0c4075ac92c62ffedc5cc4394f0028af2c29ef74

Observation 8b0676a1-0237-4210-ac83-67c47ac97b31 · outbound

This paper cites International Journal of Human-Computer Studies , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? International Journal of Human-Computer Studies , volume=

Reference 83

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unresolved
no resolver link, observed 2026-08-15T14:25:39.873352Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:25:39.873352Z digest=sha256:70753d5ebcfaea9404aca79cc8956009795edc24ca5877b68954ee4304cb192d

Observation 25511cf2-7d0a-4fbf-a949-91c8c04ee177 · outbound

This paper cites Eighth International Natural Language Generation Workshop , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Eighth International Natural Language Generation Workshop , year=

Reference 84

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unresolved
no resolver link, observed 2026-08-15T14:25:39.878955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.878955Z digest=sha256:87367ec887fc71966eb0946191c61ad11d7d41516cb42f68bc3462db88dfcd9a

Observation 4e90633f-e0ce-4f18-946d-324243ec399e · outbound

This paper cites ACM Transactions on Computer-Human Interaction (TOCHI) , volume=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? ACM Transactions on Computer-Human Interaction (TOCHI) , volume=

Reference 85

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no resolver link, observed 2026-08-15T14:25:39.883986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.883986Z digest=sha256:dda5eab8f14e4c06e16af28514096d9a09afa65704dddc1373dde259dbd4a86a

Observation 0e6011c5-e237-48da-a5da-119aede0fc74 · outbound

This paper cites Proceedings of NAACL-HLT , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of NAACL-HLT , pages=

Reference 86

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no resolver link, observed 2026-08-15T14:25:39.889096Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:25:39.889096Z digest=sha256:18303f9479819d9bc4b14a633eb37617df17354e1aa96e8865a45f085a3d4b60

Observation 1417d7bd-cf5b-4ea8-b657-9371a6c25cb8 · outbound

This paper cites Proceedings of the 40th annual meeting of the Association for Computational Linguistics , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 40th annual meeting of the Association for Computational Linguistics , pages=

Reference 87

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no resolver link, observed 2026-08-15T14:25:39.893637Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:25:39.893637Z digest=sha256:629b8774bc73a95d955cdeac08b7aa86c8ad06403d4ad360896499600c7d26aa

Observation 5d83004d-6537-448d-b7fb-a7e89f88a0d5 · outbound

This paper cites CoRR , volume =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? CoRR , volume =

Reference 88

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unresolved
no resolver link, observed 2026-08-15T14:25:39.897902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.897902Z digest=sha256:b3f0f075c8c812c3ef3cfcad579ac299fc403737b337f2145b205496d8ec63f5

Observation 985229a3-e09c-4a5e-af9a-999284f98eaf · outbound

This paper cites and Surdeanu, Mihai and Bauer, John and Finkel, Jenny and Bethard, Steven J.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? and Surdeanu, Mihai and Bauer, John and Finkel, Jenny and Bethard, Steven J

Reference 89

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unresolved
no resolver link, observed 2026-08-15T14:25:39.902288Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:25:39.902288Z digest=sha256:83a937000e7a31c2be7c1290a9948fcbc811aca0057f1257c28fad5e833591fa

Observation 20a4c3ae-ef6b-4d94-a2e6-83fcfa1f3881 · outbound

This paper cites Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval , pages=

Reference 90

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unresolved
no resolver link, observed 2026-08-15T14:25:39.906646Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:25:39.906646Z digest=sha256:f37431a2972388967e0141784b1712cf43583a2434a0b60e8f811ca3a66f09cd

Observation 9949da39-4091-40da-9728-3e332295b933 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=

Reference 91

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no resolver link, observed 2026-08-15T14:25:39.911069Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:25:39.911069Z digest=sha256:2d7176d753612ab9feb4751749dece0dadc4c6bed2b203bf025a169ac47df880

Observation 4a5fe9db-2a1d-4d0c-8c35-bf27ed26a060 · outbound

This paper cites 2020 , isbn =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2020 , isbn =

Reference 92

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no resolver link, observed 2026-08-15T14:25:39.916376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.916376Z digest=sha256:f39a8a0dad65c9d21dd82e6ef22daf441698294bf9738d0eae069a34ad631093

Observation cea22199-5c96-4625-8495-2ba5e4b4e677 · outbound

This paper cites 2021 , booktitle =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2021 , booktitle =

Reference 93

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unresolved
no resolver link, observed 2026-08-15T14:25:39.920940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.920940Z digest=sha256:bdfc261019cb4808e383dd9002380ec24e8dc2ae3ce6eec39689d546924b43ad

Observation 2f8a76b0-700a-4b7e-a5ad-20f8aee3346b · outbound

This paper cites Challenges in Data-to-Document Generation.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Challenges in Data-to-Document Generation

Reference 94

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unresolved
no resolver link, observed 2026-08-15T14:25:39.925303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.925303Z digest=sha256:4605d2105fd410dd4af05ed86edd8992b93185947b4e20459a9fa24191916780

Observation 24a8eb9a-5542-40a6-a1da-91abc3411032 · outbound

This paper cites 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) , year=

Reference 95

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unresolved
no resolver link, observed 2026-08-15T14:25:39.930053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.930053Z digest=sha256:276be959502eb38db95fcc3d1d247a9d0dd3fbe251e3c6e1afa4562e760fa504

Observation 15e07914-3792-43a2-8e5c-c347259f03e5 · outbound

This paper cites Proceedings of the 24th annual ACM symposium on User interface software and technology , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 24th annual ACM symposium on User interface software and technology , year=

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:39.934776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.934776Z digest=sha256:66725e8d11b4b83c914a8a7dee498c31ead2691c1fc004cb0b3cd38a340e1fdf

Observation 648e9df6-286a-4a37-becd-120a24303bc2 · outbound

This paper cites Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems , year=

Reference 97

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unresolved
no resolver link, observed 2026-08-15T14:25:39.938947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.938947Z digest=sha256:61b05a9a7c5bb9d654bd46e983a6a9afd0342d592a3571bd66c70519da3fa245

Observation 6cd2f388-dc49-4609-83da-62896bda0d7e · outbound

This paper cites CVPR 2021 , year=.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? CVPR 2021 , year=

Reference 98

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no resolver link, observed 2026-08-15T14:25:39.943222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.943222Z digest=sha256:dec14f7026937d542222cb710e3c2a9719c2dd9fa9372122274c424e9fbd7ede

Observation 8e6da200-a3af-452d-9328-35d2fdcf734b · outbound

This paper cites T a P as: Weakly Supervised Table Parsing via Pre-training.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? T a P as: Weakly Supervised Table Parsing via Pre-training

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:39.947754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.947754Z digest=sha256:f68a45c0a624726aa9cd157694c9de417b2d39d7c63060dd0f52a6376e5ebe40

Observation f31e18ed-2fd0-474a-86c7-09c71eaa2296 · outbound

This paper cites STL-CQA : Structure-based Transformers with Localization and Encoding for Chart Question Answering.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? STL-CQA : Structure-based Transformers with Localization and Encoding for Chart Question Answering

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:39.952743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.952743Z digest=sha256:c800867d14c8a1fce64ed695c600768cc9bbd77f056ca6e9fc385203440415a1

Observation e199aeb2-5f92-48b2-ac3d-e394361f5be7 · outbound

This paper cites Price and Scott Cohen and Christopher Kanan , title =.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Price and Scott Cohen and Christopher Kanan , title =

Reference 101

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unresolved
no resolver link, observed 2026-08-15T14:25:39.957770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.957770Z digest=sha256:63aea83329675a3f261d9df8d380cd7e19f087b962c37a0bb44f588bae348363

Pith citing papers

No inbound Pith citation observations are available.