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Paper Citation Record · LEDGER

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation

As of 8 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2502.08642.

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

pith.paper-citation-record.v1
2502.08642 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:03:11.265928Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:20.166543Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:25:23.220455Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact1
  • verified fuzzy45
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3803755a-6dc5-4dff-991f-72e9b479b2a5 · outbound

This paper cites Contour detection and hierarchical image segmentation.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Contour detection and hierarchical image segmentation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.196976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:10.826398Z digest=sha256:2dd2c5459b9ddccb561f9051ac78619e4bde154a42d072f6986b5aa1a976dd7b

Observation 879c67f4-fc3d-4c39-8c97-837202118341 · outbound

This paper cites Modelling complex vector drawings with stroke-clouds.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Modelling complex vector drawings with stroke-clouds

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.185000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:10.831468Z digest=sha256:08b79ae8365e6d87a608b2228c51749606dd8e735d8cdaa86ca7f7fdb7a50092

Observation 849cd2a5-d6e1-4b18-a011-f95ff51007b6 · outbound

This paper cites an unresolved cited work.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:03:12.173453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:10.835927Z digest=sha256:138800ff632472f0f491b14359cb671c2dee2f5b6ec58ad8413a3347ef336840

Observation d4b69b2b-3200-485f-b0c3-53c839ee0025 · outbound

This paper cites Hospedales, Tao Xiang, Yulia Gryadit- skaya, and Yi-Zhe Song.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Hospedales, Tao Xiang, Yulia Gryadit- skaya, and Yi-Zhe Song

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.161547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.021717Z digest=sha256:a462eca025c5aebb6fa3deb4f31a11f28a38e4d6e0afcb196a471caaa6dfb4c7

Observation f8ea088e-38ad-4457-8cc2-3a333d6b904b · outbound

This paper cites Midas v3.1 – a model zoo for robust monocular relative depth estimation,.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Midas v3.1 – a model zoo for robust monocular relative depth estimation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.149933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.026098Z digest=sha256:be4c1d8d737fcfbce979cddde7f0498d47f7baa6e3a0ee913601aed43e89985e

Observation 26557a5f-40fc-4c9b-b10a-17aff890eb9f · outbound

This paper cites Learning to generate line drawings that convey geometry and seman- tics.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Learning to generate line drawings that convey geometry and seman- tics

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.138577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.030598Z digest=sha256:61f082ba3faf3b3ee4b3cc5d2e514a1123d471f59d1480aa8fa35391f4ebc517

Observation 0bfed105-e5f9-4f1d-bb1f-c54e42019d64 · outbound

This paper cites Dif- fusiondet: Diffusion model for object detection.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Dif- fusiondet: Diffusion model for object detection

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.127198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.034927Z digest=sha256:7b64426450d80a5edebb8b3cf7119636e65b8337ce12875acc64a82f7b62c959

Observation 3edd0cbf-70fd-4997-8100-724ceca2ff9d · outbound

This paper cites Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.039607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.039607Z digest=sha256:bd25df6231a33b3009f49f2af57fc134e7875e9ee56d9207b6fc641addec5466

Observation 35923c1b-2f1c-4793-a2f0-1c263df941b6 · outbound

This paper cites BRIA Background Removal v1.4 Model, 2025.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation BRIA Background Removal v1.4 Model, 2025

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.114013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.044084Z digest=sha256:18808235f8d67fc79504dd69e01e14cc5b07b6c8b3c9ceef1fa0ec54f39e137c

Observation 16c6843f-d7d3-4455-9cc4-940decd43315 · outbound

This paper cites How do humans sketch objects? ACM Transactions on Graphics (TOG), 31:1 – 10, 2012.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation How do humans sketch objects? ACM Transactions on Graphics (TOG), 31:1 – 10, 2012

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.103414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.048256Z digest=sha256:4a27b82455d6b8da6c7a34eb5ff2d056f506bf2f5e208a35f99fec91e8c1ac3d

Observation b5198fb7-59d2-4568-99d0-20207bdc1919 · outbound

This paper cites CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.052404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.052404Z digest=sha256:98707c277dfb489ae06299293e699244f5659a8bb7e968ca1cb8d75173235b83

Observation c8de9dd8-693c-499c-9c09-3771925cc890 · outbound

This paper cites Implicit style-content separation using b-lora,.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Implicit style-content separation using b-lora,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.056536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.056536Z digest=sha256:c485e0d6b00e85a3e8bbab67d2b07b53f5e8fe8a50802fd230694b01c8cbf1ac

Observation b98eeabd-4909-413a-8e03-d2309f528906 · outbound

This paper cites Dream- sim: Learning new dimensions of human visual similarity using synthetic data.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Dream- sim: Learning new dimensions of human visual similarity using synthetic data

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.084298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.060517Z digest=sha256:a10c9656e52a66816b3caec1679008d316d887f18d345eae8e9d775de018cd3f

Observation 1d245e78-e2c5-4fff-a4ed-d68f79468331 · outbound

This paper cites Sketchycoco: Image generation from freehand scene sketches.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Sketchycoco: Image generation from freehand scene sketches

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.073853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.064084Z digest=sha256:ecbe3e511e8195fd9b48cdc0f39ae8db9000626ab8b0e0d0a882ab571d10277c

Observation ca4e4e11-3620-4293-b07b-d97b778e730c · outbound

This paper cites Pont, Fr´edo Durand, and Adrien Bousseau.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Pont, Fr´edo Durand, and Adrien Bousseau

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.061750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.067511Z digest=sha256:bd7b18894da97f010d3999b981ed70e3ef503dbb8f805ed2fafe4254ea3524b3

Observation a72e98f8-6dde-4ed2-9e70-857d81bcf8c8 · outbound

This paper cites A Neural Representation of Sketch Drawings.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation A Neural Representation of Sketch Drawings

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.071153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.071153Z digest=sha256:f3242e1cf9393f85a671a20bc62c97df68f922f7f56baaa4a9e7574a0e68c214

Observation 8d4abe97-c196-4fce-9576-2034d2c2f8d2 · outbound

This paper cites A Generalist FaceX via Learning Unified Facial Representation.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation A Generalist FaceX via Learning Unified Facial Representation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.074766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.074766Z digest=sha256:1bc367a2f95a77b68b0954b02e935491ceeb56e795db48a1d15a426e2e40c458

Observation b2f9db2c-9e06-4447-b114-e316826205e7 · outbound

This paper cites Style aligned image generation via shared atten- tion.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Style aligned image generation via shared atten- tion

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.049539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.078654Z digest=sha256:6fe84301c1cee3f05cee79dd4cd69aefea100d0d7089329324b53167ad163b79

Observation 8e7a9d0d-2fdb-4482-866c-c1384b4056c0 · outbound

This paper cites Classifier-Free Diffusion Guidance.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Classifier-Free Diffusion Guidance

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.082638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.082638Z digest=sha256:5fbeefecc124bc1dc8fbecbb6f730aad4e65f39b4eb8441fe55ba2c91afc3161

Observation 76c8e8c0-eab3-49ed-8e32-06de9a282a76 · outbound

This paper cites Denoising diffu- sion probabilistic models.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Denoising diffu- sion probabilistic models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.037678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.087161Z digest=sha256:bd85f2b5f5293a274697b378c941a6b1069ff89854d0dc1ed9421459881d8f62

Observation db692342-7250-4ae5-8d13-1b5b91b9e0a5 · outbound

This paper cites Rehg, and Varun Jampani.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Rehg, and Varun Jampani

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.025549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.091462Z digest=sha256:9329e8be231bf8ede0e3a59d8be1bbed565236d61f1f6645fa5208aca0763561

Observation 8b179aee-5a01-4a3e-a447-0e4a91b9a1fc · outbound

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

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Vectorfusion: Text-to-svg by abstracting pixel-based diffusion models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.013193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.095741Z digest=sha256:6e07b4925d99137ede49d1e3be43c9f3247e5a140e54a73a58e76cd62f6d45af

Observation 38897acf-6457-4ae0-8067-84cff5e8c29c · outbound

This paper cites Synthesizing human- like sketches from natural images using a conditional convo- lutional decoder.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Synthesizing human- like sketches from natural images using a conditional convo- lutional decoder

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:12.001045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.099955Z digest=sha256:d4a04d544c66afb38ab6744fbb91bf7039295acb21ca1d47161a835e67120a2e

Observation 9e86a36d-b3bb-4336-ba4f-07a9f547332c · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.989018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.105087Z digest=sha256:50f8c1b5b987f5847f52217af6a2a677edc23297d9af21596179ed650a7faceb

Observation 32408f9a-190e-4886-a9cd-d0f2c9a89e9e · outbound

This paper cites Lin, Radom ´ır Mˇech, Ersin Yumer, and Deva Ramanan.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Lin, Radom ´ır Mˇech, Ersin Yumer, and Deva Ramanan

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.975544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.109273Z digest=sha256:c36e299d696b684265636d86a26417059cf112b4c7ad49001eb486aa9efc48ab

Observation 56321ffa-283a-4bf1-b733-d01a574bb580 · outbound

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

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Differentiable vector graphics rasterization for editing and learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.962567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.113378Z digest=sha256:6bb782989d4690afb31c0e7d4d69d12c65cd0fd3a5b74b19869eddc0fd084682

Observation efa23ff3-e427-43be-a637-f86e727e2146 · outbound

This paper cites an unresolved cited work.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:03:11.949905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.117919Z digest=sha256:c591b8384a13b70ee0d28c54839705e6724a225d311ca21181f63267830cb793

Observation f972f22b-8c3f-4fe8-b540-235d6c75f618 · outbound

This paper cites Neural strokes: Stylized line drawing of 3d shapes.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Neural strokes: Stylized line drawing of 3d shapes

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.936874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.122051Z digest=sha256:af10a2827cc4f30bed155b3dc05641560a11a6dd9007a25f1b57c4c5e9ed07fc

Observation 36d85c14-6c83-464f-a429-94115f23bf1b · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Diffusion probabilistic models for 3d point cloud generation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.921699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.126503Z digest=sha256:e692e25aa405b3743b09baa2d2124b82646f1afaa057a3d324234856b53c8790

Observation 2ff73668-9337-49a7-9e0e-c866bcce919c · outbound

This paper cites Hospedales.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Hospedales

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.909502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.130681Z digest=sha256:ce821dfa37b54eac2161dc5800974f792787560b685d02be39fb37c44356996f

Observation fd52eb5d-01e8-4a2e-8de0-b5ecab60b51c · outbound

This paper cites SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-08T00:03:11.381806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.134990Z digest=sha256:960a6e56af57627aefa93f29c260a79322ae3522623696f8b71febe76e3d916a

Observation 04be7871-3aeb-4aa7-ba39-e69df5f4a377 · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Improved Denoising Diffusion Probabilistic Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.140240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.140240Z digest=sha256:aa487c7763864b66f9e8f1d5559d4b01b9fc80eeaae355e67c39a4b311d0a131

Observation 0001bcb0-5c76-4cc7-847d-5c8609a00d4b · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.897049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.144749Z digest=sha256:2846bb833473e3162f7c79d1f9a660772ed8d444e067737ca45b8c1592a587ca

Observation 4e5cf59f-9da9-428f-9e1d-af2b35a7a1d8 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation DreamFusion: Text-to-3D using 2D Diffusion

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.148656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.148656Z digest=sha256:c7e8f63ceffd9a0a43c4915fe09cd3f48c59d8846c2a6e989d1a722841d8e07b

Observation d2f00a96-81a4-4a64-8730-87168ae9c368 · outbound

This paper cites Sketchlattice: Latticed rep- resentation for sketch manipulation.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Sketchlattice: Latticed rep- resentation for sketch manipulation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.883861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.153100Z digest=sha256:2671284262a16c4f2649227c99b472092433f8d6f7d239da7c0a02dd4c42b9b3

Observation 43df2930-384f-42f7-9dc1-e329404f0c5a · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Learning Transferable Visual Models From Natural Language Supervision

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.157093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.157093Z digest=sha256:c363080b05c277088815b513c6884a8c296c7ec0d4b9eb4e4238496866886389

Observation 8bd8dffc-0cf9-4c02-8d5e-bb26dd23814c · outbound

This paper cites Collomosse, and Moacir Antonelli Ponti.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Collomosse, and Moacir Antonelli Ponti

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.870987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.161315Z digest=sha256:3c1f131eba593fbb1a3e02995b1ee230fa8a04bc2e7bc07d00eb6904fa005331

Observation c7adfc21-3fc5-463c-babc-37314d6affba · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2022.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation High-resolution image syn- thesis with latent diffusion models, 2022

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.165463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.165463Z digest=sha256:cc5c7462c97c1739d2245eafc71456d4758007c6443fb6e7f1523398141fc154

Observation 08ae392c-1d95-4876-b99c-a71ca655b058 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Photorealistic text-to-image diffusion models with deep language understanding

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.839285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.169755Z digest=sha256:484d324a5d738e5c39edba65df48c8aafcf020efbef72ee16fc656d1011862af

Observation 9bb06f66-d3f3-4d18-a532-80c8c3964df7 · outbound

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

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation The sketchy database: learning to retrieve badly drawn bunnies

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.821535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.173972Z digest=sha256:e082a21d1eb78484eb8950d217abafdf1bd30a076f43efa7d2f77913da4e3b02

Observation 4dcf1ad3-3d43-4cf7-b4c2-2d99b6999868 · outbound

This paper cites Denois- ing diffusion implicit models.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Denois- ing diffusion implicit models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.178343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.178343Z digest=sha256:0842b14fb15ceba0e9d065d018ab47ea53898f66e0e7047325743469226422bb

Observation 97459ac9-8bd5-4177-9ab3-024e064414fa · outbound

This paper cites Hospedales.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Hospedales

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.801615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.182766Z digest=sha256:b53fc41415fa8755e7e323dc6b2197e989f7ea7d37cbc878d57f149ea54fcd8f

Observation 64b87575-7802-4c91-92c2-472b0898bd96 · outbound

This paper cites Human motion diffu- sion model.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Human motion diffu- sion model

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.790313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.186954Z digest=sha256:d4c9cfc291531c82dd30f0e2814fefbbceb9edfc421bcfd11e84737078cee306

Observation 48f059d3-33d6-4926-9267-cf91cb43b972 · outbound

This paper cites Vecfusion: Vector font generation with diffusion.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Vecfusion: Vector font generation with diffusion

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.778915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.190939Z digest=sha256:38c346adcccb3d36f7ec6b0aeba5ecfaf81cf5360b5cbefbb1d658d11c577795

Observation 660a7677-0e75-460a-8efa-14d3a5373958 · outbound

This paper cites Balasub- ramanian.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Balasub- ramanian

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.767428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.194969Z digest=sha256:b43955e4dc365284a091f486ab3a751319c61db4edc5f54a070c352c3281c94f

Observation 5e9007be-9727-48a3-9773-6c9354d965d8 · outbound

This paper cites Clipascene: Scene sketching with different types and levels of abstraction.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Clipascene: Scene sketching with different types and levels of abstraction

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.754143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.199222Z digest=sha256:224d07eeb8a5c5940052b5130be898642dcbde8e4191b703849b189f6fd080f3

Observation f3f35287-a331-47fa-b6cd-7839255dc763 · outbound

This paper cites Bo, Ro- man Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, and Ariel Shamir.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Bo, Ro- man Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, and Ariel Shamir

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.740415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.203188Z digest=sha256:2216c98c8873e49d97b1cde8877e22b2d20895314a3afd7581a7c7e88f0cba72

Observation baefd9cc-27b4-4bfc-99c5-fc7e26c67e5c · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.207132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.207132Z digest=sha256:b2b7ce48bb3b8ec394e076ed244e4f16390ee5f1c71e0e8048b02b8f9b6e680e

Observation d1f80f05-539b-4360-9bf1-1d6e54cde6e5 · outbound

This paper cites Sketchknitter: Vectorized sketch generation with dif- fusion models.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Sketchknitter: Vectorized sketch generation with dif- fusion models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.727132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.211731Z digest=sha256:45882b6794abc1298477872a1949c3ca3396265635cd148396e6fa1a5571cce6

Observation ad211d39-289b-4cac-82e8-bd7a420db4e7 · outbound

This paper cites Tracing versus free- hand for evaluating computer-generated drawings.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Tracing versus free- hand for evaluating computer-generated drawings

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.714134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.216154Z digest=sha256:4b1c8bc3a1b3820d2a3cf619e62968849eb527fa7abaafc78235d8f6f721b883

Observation 9e6da0b1-dc4f-4b10-b0a3-17b146f39630 · outbound

This paper cites Multi- scale structural similarity for image quality assessment.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Multi- scale structural similarity for image quality assessment

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.699554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.220100Z digest=sha256:8a9b39286017489de754829425f2495bbb989e292613a2a20e118aa41858b884

Observation 87aa9231-24a0-4e3f-ac91-9676068e079f · outbound

This paper cites Xdog: advanced image stylization with extended difference-of-gaussians.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Xdog: advanced image stylization with extended difference-of-gaussians

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.662728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.223584Z digest=sha256:4a9bfe0a747dfb309b847bf3df8be443f97299abc73b2340890a1107165313dd

Observation 4b80a929-bea1-4701-b3e0-478512579f3d · outbound

This paper cites Differsketching: How differently do people sketch 3d objects?ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH Asia 2022) , 41(4):1–16,.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Differsketching: How differently do people sketch 3d objects?ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH Asia 2022) , 41(4):1–16,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.622055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.227139Z digest=sha256:ac6b3ec9db95b3d6113be5f04f820e3ad1d542591d335f2a94022a7c49c94ca9

Observation ffc339cf-2781-48d1-8782-76db1ab5ff62 · outbound

This paper cites DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.230987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.230987Z digest=sha256:f5c6c22febd70656381cd0a293da92ae7a8e9df7a70f708f22948fcdf7be5ccf

Observation 15eb0007-bacf-49f2-832a-89f9aed099d9 · outbound

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

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Svgdreamer: Text guided svg gener- ation with diffusion model

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.580392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.235043Z digest=sha256:260581bb5ad21f32056d143f84fb551ed849ba0cfc3fa6b3af744746044e3514

Observation d1eef9a4-9d7b-471d-8a35-85ba634b528f · outbound

This paper cites Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, and Liang Wang.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, and Liang Wang

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.542568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.239153Z digest=sha256:040fe4e3bea2c23e6445e619cc398f0b54ed3e247b1492b0513b0258e26b41f0

Observation db02dd84-2fb1-45e5-943e-8e0924ab006a · outbound

This paper cites Vision-language models for vision tasks: A survey, 2024.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Vision-language models for vision tasks: A survey, 2024

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.528753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.243380Z digest=sha256:274891c8de0b4a9d960afd9c222032921d3a7c043049946462689a83376cf680

Observation c9d5c36b-fa5b-4ba2-bd10-7ed3f1d6cd46 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Adding conditional control to text-to-image diffusion models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.514843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.247696Z digest=sha256:0db9e719031c8370e0e57e8e9ccba8e16ab2c7f4467192c87204158835e518ca

Observation ad4cb853-b2df-45e2-a9aa-58daf9393a0a · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation The unreasonable effectiveness of deep features as a perceptual metric

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:11.252373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:11.252373Z digest=sha256:5f213b40140bd4a0bacd3b3ea9d8e028b10ab0ea93df309f3d3b47d6aac22e99

Observation 76dd8ac5-9175-4e41-8b72-fba278ae2a38 · outbound

This paper cites Learning to doodle with stroke demonstrations and deep q-networks.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation Learning to doodle with stroke demonstrations and deep q-networks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.492695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.257379Z digest=sha256:2a3cc014afe1e21c38b730a297be0e76e78a9a604cb6beebc3d0f08c2a298c24

Observation 703c9498-f89c-4d58-a73e-9f24b6d8c0e2 · outbound

This paper cites A highly detailed wide- shot image of one < c >, set against a plain mesmerizing background. Center.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation A highly detailed wide- shot image of one < c >, set against a plain mesmerizing background. Center

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.463294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.265928Z digest=sha256:13fb52f91bbf386fad601bfcdbf34ab2240a4cba0ea3edc1a7dd96ca61a07c79

Observation d1a7efd5-854e-4437-9915-6920dea976a4 · outbound

This paper cites An example from the ControlSketch dataset, which includes the input image, object mask, attention map, and the cor- responding sketch generated using ControlSketch.

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation An example from the ControlSketch dataset, which includes the input image, object mask, attention map, and the cor- responding sketch generated using ControlSketch

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:03:11.478150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-08T00:03:11.261570Z digest=sha256:35cb8eb5aef7409c108046c3e30b9ee7b94ea4887fb117c8cc42cb8ed34c3e98

Pith citing papers

Observation a5191bef-b846-4461-8686-53a8bd4b77f4 · inbound

Jodi: Unification of Visual Generation and Understanding via Joint Modeling cites this paper.

Jodi: Unification of Visual Generation and Understanding via Joint Modeling SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:25:23.226183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:20.166543Z digest=sha256:b35ec2b78882c844ae20aeb25149489fca1e22a82147d7af419c95a262213497