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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:285c09f27ed121201dd2d9a471d614b068b5868d7b5457db7bc882e53026efee

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:c60ac666823e060e20ee098f1b4d66d40a555d626e4f9b420979604a6a4bb6b5

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=sha256:51df8d4779ce83778689004c333cd539b1602d407bc6cd92b9fafd8592b2a1b2

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=sha256:14fa71683c546acfeb41f9d4b46d6d2a1617c109a85dfd22839803903cea630b

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=sha256:24e0a7adcba5fb655869dec0b4f3ce1fd263c32f10f8c762ac1db9c1f8f914c8

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:db9a352e35a39992dc8f573175f382b415bfcd9dc569da50266ca474accf951f

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=sha256:4a9bf7106efcf423d6e400aebabee8172eea89cbd946e89da8f76fabd9034783

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=sha256:07f0d32f1762f150ebf4ebab5bef56cb2c8dde02b880eb1d7753d23a8843248e

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:beb1eb997d28d71c945b193c839b7c5c5f353cf6307288619eb05c67aace2cb7

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:fc84b6802d894773766a57a6fb642e3ad1097a3c8dbeb3f50d5874a8122c9d1c

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=sha256:055b04801e703bc0b9e6a86fd7e6932ac62e0eeba04390161a370a87cc8d3167

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=sha256:7ed6d608fb9c4ca1d930264e158d4f03321c6a7c3ba274052479fa672abc8d99

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=sha256:4e650366e8c8da244254091a655214bd5ebe0680baea218818f193a63f01ff40

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:c8492f86e1a0409e37dd1ea13495e522b32490a55f40bcac2c5c422561e66713

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=sha256:4a52967a40bd84ad249a6f92268ff5ccc57f65f2ba287b0423b8016c651a0e8e

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:da70c9955caaf146d4325ad62af86d50e48746b22dd117cea88ed46091206bb4

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=sha256:1e8af096f3742c69579042e20fcae9d3b28efa6574f9a98c8879e4da8895e7cc

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:c26f5f6a9ae50b7f0ff2b077ee14ee723a46aa9c37cba58e3a180724812e31ff

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:d1d9bf1691182810b01b93b66853937441640ffc09835902c94aeb81c2910a1f

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:b7d34f1a26100dc55bbde3c501bf6e444a3a27182a2869f1851a4e877e374b48

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:cb56d1835baa4634516b9c269552a3e77e9e06bb772e8ade9a10c1c335cffae8

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=sha256:895d6fb47131ec45da50e668d72c4de4357b462fcd9b298ee1f3b3d5557cdac9

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:bcf7f815b24f2877b3316edee062cda9bba410021d2019702b67d5cc75db983d

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:d0dcaee81c63d951a6562852d5de29750127b7c039b06cdcf69b99820317e2a8

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:c1d22fb7726e0a2d14180256fecba3b29a1809faace82d3c9f75660db5dc5db2

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=sha256:8f92b544e58a89dc5918807d0d1ae218d8c693f512e16d44c52e6ccd12ebb811

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=sha256:418aa3f82df3f8ad191601b6aff55e1c5d28b33ad30e884922d7046fd7b546c0

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=sha256:1a0cd5efdaef47f4ee13b195a1c60bf426b17ae944dcea46650e6c4fe0f6c3ca

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=sha256:369e80af07824513a6b56a566e339bb1ffb9c640f6cd9f812c9d4c3d009ce5d5

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=sha256:02d60467819c0b9e0c47e628170e9a993246c841b0e09edbe0542d5c2c39e39d

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=sha256:4ab34ff6ba3155f8308a531237aa48e365cffcfd174cfdae9cd0b00e796291f9

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=sha256:48520afedd9d462746e84c45e1576c6e3ae7606d9af4767ad092231244ae0df2

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:eb735fb92d1537e3575d9530f01187cba877194daba126b6aa7db979642a7f74

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=sha256:1fb1ecf3e8f29eed701231b2f1f54fb3974dd2db46cf03185557bd8668de74fc

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=sha256:112526cec3b59c349785ec5846b6b52d0de21483edc0340161cc94de8a834be9

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=sha256:3addd8aab21272ad1b2757964bd2dec2edbb04092275398fa730fb14744cf863

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:f0f52df7e59a910411fbc6495b7e33e950db35b8850d5bbe8203285fd6b99d2a

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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source=arxiv_source observed=2026-08-15T14:25:39.662932Z digest=sha256:0b6f8ccdbf50d19f36e53ad2851d582dd0c72f40d57bbaaa85512a7b8b590ea5

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=sha256:6bf34cd50ba8b2a38e1f2ce197203df53d1db962cb2a7259b2a9d7bd9650b2c2

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:25:39.674014Z digest=sha256:88c4cae4af0194f40fcddba31b968515d3e785b0b8eb76fd88b55dfa59516f28

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=sha256:56458e1624c623d9c01bb796e77f05b4d194ec4a4341baabba1b568eae7df313

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=sha256:15f1f251596cabe3d1bbfb348e49df5ef89cd57edec4c332cfe5949a76be8489

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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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=sha256:2b8634daea7d979f9fdd6a7be10a8e4b8b6d4d46baa888b56180b0a9e5456606

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=sha256:5ee4323cf1496e55729fa90bdbb9b89101425e08c68a4fc0d3e3ca69d12e2bcc

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=sha256:390a83847522aeed786ac74c056d6e2ca0a1d6e5dc21fb55b9ec36a6bd97abf9

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:aa36bfe1eb90fffa2cd6372360f3733833b9d558ec199dcb52e44bf95e95a021

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=sha256:60abd61c62f31964f3cd69669ea1cd9ca0f374c725faff762f40a95acb001e04

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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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:a728bdec8e6c5c7551c8f27b3846e8319903cbdf1ffc7b0fbd9bee0ab025bec6

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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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=sha256:8fe0b5353c248d464d6cfd5aad2af3930e449dc7927a2f20170377f335195e40

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=sha256:1d7c1ac8ca58ee6a95f47313aa4eded1e9b5665c6134c4b9589bb0152e997d71

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:bf30866bf47fd0b021c8ee614832028512f18325c305eea005b98deabbb91a4d

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=sha256:1074e693286f77506984cc1448bbe329df23d2846fb51c4c37e8cdbb0a353207

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=sha256:6def5b2424030c4eb7709fd636a734558e924a95ed1dc9bfb3530a5096c73804

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

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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=sha256:5596f448052e4a7c667c5f77399c8542016e21f085c88137cc3898250bc0e802

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=sha256:95345b30ca04a2912a849b88e3a74e5698ab37609e9854fd89b7b63dc976680b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:25:39.745752Z digest=sha256:182ad1b833858f919953439e9fe1030dd67c15c221029779c55be0a2cf75b5c1

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=sha256:0399999e5efd79b7788f1e6b6696d6131b6ea3ca1c89281de1f1e36e306b6155

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:d526946aa444233a784c636428608356ed09a6b555d884637af74389f5cdbc88

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:c09959de54af74e6c8cce4604ab8caee894ba08bec4a1ffd2f10d55691596bb3

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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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=sha256:7de30105069646cfe440c1e15f35935f934480336dbda08799b9aad6b2f6a0bd

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:b7753b9de12993b714703eb5aecfe48939cf1334904dfbe689ce50b0c9fd8fab

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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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=sha256:97d676d4381e81a1a35c6f647a6e9104e8f60fa997791118e30fb1e79cefc97d

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

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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=sha256:4dfbf657c794c9191f5df93f6c144c4a5ef2acf1cfa5c0e088e8c75759591904

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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:25:39.783878Z digest=sha256:06a9c74af51661a02adeea09797c19d4a7427a3e6b58c11249d5d9f010b0e342

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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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=sha256:6a52bf5d3e4b7aac7933dd36570cdd01c48e548ae72d5db0ec02209c564c9901

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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unresolved
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=sha256:46ef256449ab70ff39bfc22237c5ea14fcc28bcbe8a5bc499ff3e1eae05c9d3e

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:f235681499b6432d4e21d7c365dee9e6d5af1e89d9a658d787d11b9821cff2cd

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:f3cda5280630751d751bebb8b436d2c76f281b9f4c673d88c11a609a45830bdd

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=sha256:4b9f1959019c6dbec0a0d79a4278509643aa7a5d6ce50f34e78b39c3ca2b926a

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=sha256:9609fbb2f5f7d62b35dd7a46471c422d7fb342a7ca3212818360f2b295b7b419

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

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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=sha256:50fc9598662db174985d539a5f7b42810a47659fa3aeff52f77670933bd41fdd

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

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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:c3dd19cf00355db39356f082bdff343edf8ca5daf8baa5879efc8d512ae5ef25

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=sha256:08386d7db5adbea05d95d76b77991551962ad8b479c2ad60363bc13e6d25bf44

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=sha256:99fe57e9d5d4bb6e94a33e9c942f979566921683da621a300c5e0f1b7e0d91cc

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=sha256:1fac2a782c6767c5d4c4457313ddabf480b9f7f5451ab0f158f601e502848c21

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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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=sha256:28b036bc7943b44674531fdd313b274dd3b7689de3ae0ca1f48896aa8337b2e3

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:ca645c03cca0378f123275cc89d544291e22c3b4946b274fe30f349b66015f52

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:25:39.854188Z digest=sha256:42a0257ade5f003136e1dc7a4f60b1d9ec0bf780049305082b57cd82b29e42b9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.858953Z digest=sha256:14de31cbe444a9dcbb1758e9865b3c29aa76157199b0ea1cc0660f5d5f11b5e0

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.864095Z digest=sha256:80e479ee8d43266c3c60a15c473cb799aecd9a93287f6daf0ed79420051bc633

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=sha256:8e58e877cafa918bec262989f4648fcf2d3d255830180d12a63578baf1974b07

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.873352Z digest=sha256:1529bbfaa6ef82a42dc28bdc3d1f0cf1fc6f5312e27bc373408faa8bd5b9174b

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:cee55287c07aa60fb7be16100dc37a0cb59567d25c5d3fa52c2078440e331c46

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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unresolved
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:e5a1ce608199bd272abd68f5c9b8cd8ebae342218937bbf1167dd9176d9ef2a7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.889096Z digest=sha256:89344a4444be7b1825915f59734c13c5dcb27be3c12faa0888c4c11f1e741873

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.893637Z digest=sha256:667bf0662287d3b6b855f6a7bcd711a4f6e15bbe5918f2daebdab0be3cd99e61

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

Resolution
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=sha256:4e29765fd5177841cc8e176ba119c76f1ca636a034ee529818ab3f4fd5660cd3

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.902288Z digest=sha256:eb6be557932785361a89bb18e38190c37e0f01359ecc23e7bed6044d847e2365

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.906646Z digest=sha256:666cbdbfaad18b4b1efe96fb97cb8a1335dfb95eaed88e3d714a4cf6fa700de1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.911069Z digest=sha256:181cfffc6430d70a2095c3530d9482f9f2f9360138157eeb3a2bbdb050e64634

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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unresolved
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=sha256:626aa376905a7405797aa9c092ab4c0cc4642c0181ba8f8aa067b8a5dd973b80

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

Resolution
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=sha256:4b01a1f546dae9129004c563c2ed7ae8063a41710f4d746ab5e086d34e0359d5

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=sha256:96a6a89d31a71c8e5d740086e9931eb82c089f2f99ca3ecd531932d870d0518f

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

Resolution
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=sha256:7bc7b9845a395d8b2c74f2c580c7ed88132d2d4d10cea80fae2d5c02e5e264cb

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:a0159f6d552953b1f68c2cf3c40749b7adff0226b7ed2be96243e4723835317d

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

Resolution
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:c053341b36bdd35fcd0a46d72f0620761bcd85ca575df533c3fee1ae526fa508

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

Resolution
unresolved
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:f5e34b4fbf24b27d046743cf6a286c778d8e4a8277b04dd4e735cf70d45efd5f

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=sha256:9e80e9dc983f4629e31fc80f782288dcb2a2cf0e44ec6aa08515156007240f6c

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:e0b7288fd571235c7b32eaee7ace1e4e4920cb34b08e7d4ec0c432b870a4cbcd

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=sha256:1910776686b32f4fa327fc87978e428813737f51117c65e51c900f2e1e43a8a0

Pith citing papers

No inbound Pith citation observations are available.