Paper Citation Record · LEDGER

Empowering LLMs to Understand and Generate Complex Vector Graphics

As of 20 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 13 inbound Pith citation observations for arXiv:2412.11102.

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

pith.paper-citation-record.v1
2412.11102 v3

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:20:51.915313Z

measured 96 of 96 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:23:03.139261Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:54:43.828660Z

Reference resolution

83 of 83 outbound references displayed

verified exact1
verified fuzzy48
unresolved30
parse uncertain3
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29f6b135-a08d-469c-9397-e4f0f793afcc · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Empowering LLMs to Understand and Generate Complex Vector Graphics Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.508116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e32dc3a-50ac-4093-b310-08eb82ab05f9 · outbound

This paper cites GPT-4 Technical Report.

Empowering LLMs to Understand and Generate Complex Vector Graphics GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.513690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97818f2a-c323-410a-bb48-bbc28840407c · outbound

This paper cites The Falcon Series of Open Language Models.

Empowering LLMs to Understand and Generate Complex Vector Graphics The Falcon Series of Open Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.524873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 832a2e75-45bc-4e3a-80f6-b6f0255f392e · outbound

This paper cites Claude 3.5 sonnet.

Empowering LLMs to Understand and Generate Complex Vector Graphics Claude 3.5 sonnet

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.530582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e7ac936-caf8-4a08-a9f5-4511515b2e95 · outbound

This paper cites Deepsvg: A hierarchical generative network for vector graphics animation.

Empowering LLMs to Understand and Generate Complex Vector Graphics Deepsvg: A hierarchical generative network for vector graphics animation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.536018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292a1c4b-518c-49f4-894f-46abe48ef2f7 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Empowering LLMs to Understand and Generate Complex Vector Graphics Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.541146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc570713-0767-413f-a638-c34c0d79a3e4 · outbound

This paper cites FIGR: Few-shot Image Generation with Reptile.

Empowering LLMs to Understand and Generate Complex Vector Graphics FIGR: Few-shot Image Generation with Reptile

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.546808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb6ed030-08e2-49c3-9496-c966368ab5a5 · outbound

This paper cites Unsloth, 2023.

Empowering LLMs to Understand and Generate Complex Vector Graphics Unsloth, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.376110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ef4cec7b-d104-44e0-86a3-3857a7ee3d13 · outbound

This paper cites Gemini pro.

Empowering LLMs to Understand and Generate Complex Vector Graphics Gemini pro

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.359601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efc9d1b7-53df-45a1-b052-8dbd3502c474 · outbound

This paper cites Pengi: An audio language model for audio tasks.

Empowering LLMs to Understand and Generate Complex Vector Graphics Pengi: An audio language model for audio tasks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.342941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c81d80ad-873b-4822-8d67-4cc84ac47614 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Empowering LLMs to Understand and Generate Complex Vector Graphics Qlora: Efficient finetuning of quantized llms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.567607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cbdd54f-64d4-4295-99aa-886c989cc093 · outbound

This paper cites Hierarchically recognizing vector graph- ics and a new chart-based vector graphics dataset.

Empowering LLMs to Understand and Generate Complex Vector Graphics Hierarchically recognizing vector graph- ics and a new chart-based vector graphics dataset

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.317314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c0c0f6a-5571-4990-abac-ab6191e8c466 · outbound

This paper cites The Llama 3 Herd of Models.

Empowering LLMs to Understand and Generate Complex Vector Graphics The Llama 3 Herd of Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.576875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0baad85-a03e-4887-8170-1f74360d63cc · outbound

This paper cites CLIPDraw: Exploring text-to-drawing synthesis through language-image encoders.

Empowering LLMs to Understand and Generate Complex Vector Graphics CLIPDraw: Exploring text-to-drawing synthesis through language-image encoders

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.301242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d955428-0efe-4c96-89fd-2b2e7bbbbb1f · outbound

This paper cites Chat- gpt outperforms crowd workers for text-annotation tasks.

Empowering LLMs to Understand and Generate Complex Vector Graphics Chat- gpt outperforms crowd workers for text-annotation tasks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.285320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0130649b-0277-47fa-a5f0-cf5ae9f81284 · outbound

This paper cites MultiModal-GPT: A Vision and Language Model for Dialogue with Humans.

Empowering LLMs to Understand and Generate Complex Vector Graphics MultiModal-GPT: A Vision and Language Model for Dialogue with Humans

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.592686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 013dd6ba-9cd1-416b-bac2-de6d0652200c · outbound

This paper cites Visual program- ming: Compositional visual reasoning without training.

Empowering LLMs to Understand and Generate Complex Vector Graphics Visual program- ming: Compositional visual reasoning without training

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.268392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4bd5a07d-b21c-4662-975d-56673c7e996e · outbound

This paper cites A neural representation of sketch drawings.

Empowering LLMs to Understand and Generate Complex Vector Graphics A neural representation of sketch drawings

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.602766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 406a700e-710b-44a7-a9d0-289caec072f0 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Empowering LLMs to Understand and Generate Complex Vector Graphics Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.242382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3fe20646-2afb-4694-be9c-9ce39ccecc55 · outbound

This paper cites 3d-LLM: In- jecting the 3d world into large language models.

Empowering LLMs to Understand and Generate Complex Vector Graphics 3d-LLM: In- jecting the 3d world into large language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.227616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a85db9f3-3fe2-4c40-a662-713db393c889 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Empowering LLMs to Understand and Generate Complex Vector Graphics LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.617357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2abf882-f188-4d84-b5c7-22b73bcd0bc4 · outbound

This paper cites Supersvg: Superpixel-based scal- able vector graphics synthesis.

Empowering LLMs to Understand and Generate Complex Vector Graphics Supersvg: Superpixel-based scal- able vector graphics synthesis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.213344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 45babdeb-e56e-45fd-b860-47ef892081e3 · outbound

This paper cites Audiogpt: Understanding and generating speech, music, sound, and talking head, 2023.

Empowering LLMs to Understand and Generate Complex Vector Graphics Audiogpt: Understanding and generating speech, music, sound, and talking head, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.198864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db36a40d-206a-4562-854c-c399c6aaee1e · outbound

This paper cites Language is not all you need: Aligning perception with language models.

Empowering LLMs to Understand and Generate Complex Vector Graphics Language is not all you need: Aligning perception with language models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.183658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b9b43cb4-59f1-4c51-bfd8-90555155c114 · outbound

This paper cites Vectorfusion: Text-to-svg by abstracting pixel-based diffusion models.

Empowering LLMs to Understand and Generate Complex Vector Graphics Vectorfusion: Text-to-svg by abstracting pixel-based diffusion models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.166423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ac2068cc-ef4c-4d31-8e7a-762ca0e406a9 · outbound

This paper cites Phi-2: The surprising power of small language models.

Empowering LLMs to Understand and Generate Complex Vector Graphics Phi-2: The surprising power of small language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.148245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e0fc59ba-b572-449c-8c96-973cd581f473 · outbound

This paper cites MotionGPT: Human motion as a foreign lan- guage.

Empowering LLMs to Understand and Generate Complex Vector Graphics MotionGPT: Human motion as a foreign lan- guage

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.129759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e01fb033-04f9-4274-846c-c702886c6e5f · outbound

This paper cites Recognizing vector graphics without rasterization.

Empowering LLMs to Understand and Generate Complex Vector Graphics Recognizing vector graphics without rasterization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.112853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e567e0d-0689-4b98-b10d-d85084938704 · outbound

This paper cites an unresolved cited work.

Empowering LLMs to Understand and Generate Complex Vector Graphics Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:20:53.094382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b9e7144d-3a72-47cd-b35d-06a74eb08468 · outbound

This paper cites Differentiable vector graphics rasterization for editing and learning.

Empowering LLMs to Understand and Generate Complex Vector Graphics Differentiable vector graphics rasterization for editing and learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:53.078036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01c5fc3e-e7d5-4fba-a1bf-a88a25511cef · outbound

This paper cites Visual instruction tuning.

Empowering LLMs to Understand and Generate Complex Vector Graphics Visual instruction tuning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.937878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2553300b-3e48-429e-a513-226887cdd6fa · outbound

This paper cites A learned representation for scalable vec- tor graphics.

Empowering LLMs to Understand and Generate Complex Vector Graphics A learned representation for scalable vec- tor graphics

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.920290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 85b202e3-093c-4165-90b4-545d91423bbc · outbound

This paper cites Towards layer- wise image vectorization.

Empowering LLMs to Understand and Generate Complex Vector Graphics Towards layer- wise image vectorization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.904463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4659148f-2763-4421-9d26-ab65af07cf10 · outbound

This paper cites Phi-2: The surprising power of small language models.

Empowering LLMs to Understand and Generate Complex Vector Graphics Phi-2: The surprising power of small language models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.888416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 114e7fc7-8e47-4a0f-963e-dc8483277425 · outbound

This paper cites CLIP-CLOP: CLIP-Guided Collage and Photomontage.

Empowering LLMs to Understand and Generate Complex Vector Graphics CLIP-CLOP: CLIP-Guided Collage and Photomontage

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.683409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e90b51c-f85a-42c3-ad8c-da6355c94d88 · outbound

This paper cites Introducing chatgpt.

Empowering LLMs to Understand and Generate Complex Vector Graphics Introducing chatgpt

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.873327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 395fb8ca-ba4d-4800-a10a-3b62ddc2c2ab · outbound

This paper cites Training language models to follow instructions with human feedback.

Empowering LLMs to Understand and Generate Complex Vector Graphics Training language models to follow instructions with human feedback

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.693054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ef7be75-d0cd-4f0d-bdd4-039410104a63 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Empowering LLMs to Understand and Generate Complex Vector Graphics Gorilla: Large Language Model Connected with Massive APIs

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.697790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cc5e891-2fb8-47cd-a3d9-ed758b97769d · outbound

This paper cites Barron, and Ben Milden- hall.

Empowering LLMs to Understand and Generate Complex Vector Graphics Barron, and Ben Milden- hall

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.844971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e04e201f-98b6-4770-96f8-4909fbca4790 · outbound

This paper cites Language models are unsuper- vised multitask learners.

Empowering LLMs to Understand and Generate Complex Vector Graphics Language models are unsuper- vised multitask learners

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.827203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e57d874f-3713-4544-863e-87b5efa71463 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Empowering LLMs to Understand and Generate Complex Vector Graphics Learn- ing transferable visual models from natural language super- vision

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.810888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7775550f-8c4b-4314-b35f-2021a04edcdb · outbound

This paper cites Im2vec: Synthesizing vector graphics without vector supervision.

Empowering LLMs to Understand and Generate Complex Vector Graphics Im2vec: Synthesizing vector graphics without vector supervision

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.720857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8cbb76-d9e4-40d4-b5e2-88d3de2d433c · outbound

This paper cites Rodriguez, Shubham Agarwal, Issam H.

Empowering LLMs to Understand and Generate Complex Vector Graphics Rodriguez, Shubham Agarwal, Issam H

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.783889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78ff48cd-802c-4823-8874-d8af22883daf · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Empowering LLMs to Understand and Generate Complex Vector Graphics High-resolution image synthesis with latent diffusion models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.729387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69a214fb-0f30-4b19-9b4b-b5e37faa9a3a · outbound

This paper cites The sketchy database: learning to retrieve badly drawn bunnies.

Empowering LLMs to Understand and Generate Complex Vector Graphics The sketchy database: learning to retrieve badly drawn bunnies

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.756291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ff46953-c997-4b8e-a01f-044de8731de7 · outbound

This paper cites Improved aesthetic predictor.

Empowering LLMs to Understand and Generate Complex Vector Graphics Improved aesthetic predictor

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.734366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f92a76c-f173-402c-a432-57b435ec45bf · outbound

This paper cites Clipgen: A deep gener- ative model for clipart vectorization and synthesis.

Empowering LLMs to Understand and Generate Complex Vector Graphics Clipgen: A deep gener- ative model for clipart vectorization and synthesis

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.743975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dfa64e2-7f74-4cb5-a687-f797e956b16e · outbound

This paper cites Clipvg: Text-guided image manipulation using differentiable vector graphics.

Empowering LLMs to Understand and Generate Complex Vector Graphics Clipvg: Text-guided image manipulation using differentiable vector graphics

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.702988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d75f0cb-d4a8-412d-8f32-1077f3a213a0 · outbound

This paper cites Marvel: Raster gray-level manga vectorization via primitive-wise deep reinforcement learn- ing.

Empowering LLMs to Understand and Generate Complex Vector Graphics Marvel: Raster gray-level manga vectorization via primitive-wise deep reinforcement learn- ing

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.754516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dbbcfe0-86af-4775-892f-1cf12fe5abdd · outbound

This paper cites StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis.

Empowering LLMs to Understand and Generate Complex Vector Graphics StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.760388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8bdb5f1-c996-4411-bbe3-f2137d85fd83 · outbound

This paper cites Qwen2.5: A party of foundation models, 2024.

Empowering LLMs to Understand and Generate Complex Vector Graphics Qwen2.5: A party of foundation models, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.674522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fdfcf774-9bf7-4474-855d-79658e62b861 · outbound

This paper cites Nivel: Neural implicit vector layers for text-to-vector generation.

Empowering LLMs to Understand and Generate Complex Vector Graphics Nivel: Neural implicit vector layers for text-to-vector generation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.657245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a6dad3e-f245-4748-b689-13e602273d6a · outbound

This paper cites Modern evolution strategies for creativity: Fitting concrete images and abstract concepts.

Empowering LLMs to Understand and Generate Complex Vector Graphics Modern evolution strategies for creativity: Fitting concrete images and abstract concepts

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.634952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7773181f-6383-4bd6-9648-42eb795093d0 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Empowering LLMs to Understand and Generate Complex Vector Graphics LLaMA: Open and Efficient Foundation Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.781221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388ca464-ca20-4933-8157-af7691affa82 · outbound

This paper cites Visualizing data using t-sne.

Empowering LLMs to Understand and Generate Complex Vector Graphics Visualizing data using t-sne

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.617566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5f1b78b-e872-4e72-a123-bd6ec331402e · outbound

This paper cites Clipasso: Semantically-aware object sketching.

Empowering LLMs to Understand and Generate Complex Vector Graphics Clipasso: Semantically-aware object sketching

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.790596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5bbb3a-f188-4fc4-ae6d-5e78ac372422 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Empowering LLMs to Understand and Generate Complex Vector Graphics Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.794613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 072cbb00-07ea-4328-877d-e79ea59ae26c · outbound

This paper cites VisionLLM: Large language model is also an open-ended decoder for vision-centric tasks.

Empowering LLMs to Understand and Generate Complex Vector Graphics VisionLLM: Large language model is also an open-ended decoder for vision-centric tasks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.590921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5044d33c-6223-4608-8832-7fed66b9cffb · outbound

This paper cites Deepvecfont: Synthesizing high-quality vector fonts via dual-modality learning.

Empowering LLMs to Understand and Generate Complex Vector Graphics Deepvecfont: Synthesizing high-quality vector fonts via dual-modality learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.803928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d5747c2-6467-483f-9392-4550dccae9ab · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Empowering LLMs to Understand and Generate Complex Vector Graphics Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.808512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a6a8923-36d2-4148-93ed-039ce1ab4a19 · outbound

This paper cites IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers.

Empowering LLMs to Understand and Generate Complex Vector Graphics IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.813844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a60bf45f-a368-43d6-889c-d63b13578c9a · outbound

This paper cites Human preference score: Better aligning text-to- image models with human preference.

Empowering LLMs to Understand and Generate Complex Vector Graphics Human preference score: Better aligning text-to- image models with human preference

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.563149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc99a7f1-cdf9-4067-bd3d-dbe74d678525 · outbound

This paper cites Grok-2 beta release.

Empowering LLMs to Understand and Generate Complex Vector Graphics Grok-2 beta release

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.548270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35edcb1c-bddb-4d91-aa36-893005e3098a · outbound

This paper cites Diffsketcher: Text guided vector sketch synthesis through latent diffusion models.

Empowering LLMs to Understand and Generate Complex Vector Graphics Diffsketcher: Text guided vector sketch synthesis through latent diffusion models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.531388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1dc72663-f799-4ad9-9cd4-8c0079774b35 · outbound

This paper cites Svgdreamer: Text guided svg gener- ation with diffusion model.

Empowering LLMs to Understand and Generate Complex Vector Graphics Svgdreamer: Text guided svg gener- ation with diffusion model

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.512948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5bf44049-0f84-480a-9aa9-883662b9a8fa · outbound

This paper cites Pointllm: Empowering large lan- guage models to understand point clouds.

Empowering LLMs to Understand and Generate Complex Vector Graphics Pointllm: Empowering large lan- guage models to understand point clouds

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.495383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d13713d1-ffd1-41e0-8218-7be4d6746811 · outbound

This paper cites Exploring the Capability of LLMs in Performing Low-Level Visual Analytic Tasks on SVG Data Visualizations.

Empowering LLMs to Understand and Generate Complex Vector Graphics Exploring the Capability of LLMs in Performing Low-Level Visual Analytic Tasks on SVG Data Visualizations

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.844136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a05a6d7d-c4c3-4c2c-810a-577f80d11ca3 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Empowering LLMs to Understand and Generate Complex Vector Graphics Yi: Open Foundation Models by 01.AI

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:51.849001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e72d8d4-4167-4556-9bce-55aec1e9279d · outbound

This paper cites Sketch me that shoe.

Empowering LLMs to Understand and Generate Complex Vector Graphics Sketch me that shoe

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.479927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90107639-8de6-4d9f-a47d-55a5d2ce5e9e · outbound

This paper cites Video-LLaMA: An instruction-tuned audio-visual language model for video un- derstanding.

Empowering LLMs to Understand and Generate Complex Vector Graphics Video-LLaMA: An instruction-tuned audio-visual language model for video un- derstanding

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.464039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6856c165-bea9-44f0-935a-7b9204e7df70 · outbound

This paper cites Text-to-Vector Generation with Neural Path Representation.

Empowering LLMs to Understand and Generate Complex Vector Graphics Text-to-Vector Generation with Neural Path Representation

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:20:51.968479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6e7691ed-b31d-464a-af59-4dcad645319f · outbound

This paper cites LlamaFactory: Unified efficient fine-tuning of 100+ language models.

Empowering LLMs to Understand and Generate Complex Vector Graphics LlamaFactory: Unified efficient fine-tuning of 100+ language models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.448214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbd5cf39-65eb-4135-8721-eb6d4c009833 · outbound

This paper cites MiniGPT-4: Enhancing vision-language understanding with advanced large language models.

Empowering LLMs to Understand and Generate Complex Vector Graphics MiniGPT-4: Enhancing vision-language understanding with advanced large language models

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.431273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 586b3ccf-51d7-46ec-bb27-c84b929dd136 · outbound

This paper cites umbrella.

Empowering LLMs to Understand and Generate Complex Vector Graphics umbrella

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.416056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 332e4ae0-9425-4a7e-bc10-f4e5a31eb991 · outbound

This paper cites Along with the original 17 SVGs from the dataset, this provided a total of 68 SVGs for the user study.

Empowering LLMs to Understand and Generate Complex Vector Graphics Along with the original 17 SVGs from the dataset, this provided a total of 68 SVGs for the user study

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.399949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86ddf0fd-955f-49d4-8af4-e69eab4cf263 · outbound

This paper cites These SVGs were not necessarily generated from the same prompt.

Empowering LLMs to Understand and Generate Complex Vector Graphics These SVGs were not necessarily generated from the same prompt

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.381182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d606938-c4fe-44af-b15f-a4aa94fa80b3 · outbound

This paper cites Prompt Align- ment.

Empowering LLMs to Understand and Generate Complex Vector Graphics Prompt Align- ment

Reference 78

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T15:20:52.362776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2686e96-d4d3-4c7e-8c7b-9cb201902211 · outbound

This paper cites Comments.

Empowering LLMs to Understand and Generate Complex Vector Graphics Comments

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.343861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c3069b6-983e-45ec-bf4c-d179561cf46b · outbound

This paper cites Descriptions.

Empowering LLMs to Understand and Generate Complex Vector Graphics Descriptions

Reference 80

Resolution: parse uncertain; raw_fallback, observed 2026-08-11T15:20:52.328441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13392ae7-bf7c-4ef9-bbd8-d1276d3970ea · outbound

This paper cites an unresolved cited work.

Empowering LLMs to Understand and Generate Complex Vector Graphics Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:20:52.312329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cbec2473-578c-4fe7-97ec-84f9862b8d29 · outbound

This paper cites an unresolved cited work.

Empowering LLMs to Understand and Generate Complex Vector Graphics Unresolved cited work

Reference 82

Resolution: parse uncertain; raw_fallback, observed 2026-08-11T15:20:52.295966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7401ccf7-4dd8-4eb4-8918-c7e539550fda · outbound

This paper cites Token” field corresponds to the Token defined in Table 1. The “Description.

Empowering LLMs to Understand and Generate Complex Vector Graphics Token” field corresponds to the Token defined in Table 1. The “Description

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:52.280410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be52ba5e-d931-4964-a9db-7e91ad1682be · outbound

This paper cites an unresolved cited work.

Empowering LLMs to Understand and Generate Complex Vector Graphics Unresolved cited work

Reference 2023

Resolution: parse uncertain; no resolver link, observed 2026-08-11T15:20:51.519568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f44c8b0d-3dd0-401d-80cb-c390ed0db0dc · inbound

SVGFusion: A VAE-Diffusion Transformer for Vector Graphic Generation cites this paper.

SVGFusion: A VAE-Diffusion Transformer for Vector Graphic Generation Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:22:43.130186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad60f34d-af93-4485-8be3-7d27cde5a7c6 · inbound

LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer cites this paper.

LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T16:37:25.942753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c44d2fe0-096a-4117-9b0d-8a92aedf3e56 · inbound

ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis cites this paper.

ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:25.773092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9821e7c-3dee-4a9e-8d50-0e0365d6deef · inbound

SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation cites this paper.

SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:11:54.737867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fa66e98-b083-4a99-893c-33523b85aafb · inbound

SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design cites this paper.

SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:15.126449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 459d4f2e-d60b-447b-9c97-d9341788e562 · inbound

SVGen: Interpretable Vector Graphics Generation with Large Language Models cites this paper.

SVGen: Interpretable Vector Graphics Generation with Large Language Models Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:28.838528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d861f24-5261-44cb-b1b8-8d61f35c727c · inbound

Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning cites this paper.

Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T13:51:00.595047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 96e97777-f3a9-42d1-a544-8cea9ac8bfe1 · inbound

VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation cites this paper.

VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:54:43.830073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a26f4eb-0e86-43de-ab25-217fa50fba85 · inbound

GeoSVG-RL: Geometry-Aware Reinforcement Learning for Layout-Constrained Text-to-SVG Diagram Generation cites this paper.

GeoSVG-RL: Geometry-Aware Reinforcement Learning for Layout-Constrained Text-to-SVG Diagram Generation Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:13:59.474700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91b2a560-e02f-4147-b7fa-738ec971c676 · inbound

Vector-Bench: Can Models Surgically Edit SVG Code? cites this paper.

Vector-Bench: Can Models Surgically Edit SVG Code? Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T13:42:31.634752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d95a9de2-9bac-4cca-9c02-790782d69162 · inbound

GVR-Coder: A Visual-Feedback Framework for Structured SVG Generation in Complex Document and Meeting Scenarios cites this paper.

GVR-Coder: A Visual-Feedback Framework for Structured SVG Generation in Complex Document and Meeting Scenarios Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-07-31T18:43:09.419449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc345258-aa71-4ea0-8bf4-e1d2bdc1620c · inbound

SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation cites this paper.

SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T17:29:19.209767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19dc3368-c985-46a4-8de5-954a4e98db39 · inbound

Draw This First cites this paper.

Draw This First Empowering LLMs to Understand and Generate Complex Vector Graphics

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:23:03.139261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.