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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:10.826398Z digest=sha256:61e8b1db7466d41d2a98fdf9ce9378a0925a74cd4b6e4d68fbdbcc6a40aaced4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:10.831468Z digest=sha256:8a28c25b4f6715e9f76a7ba76feca5eb2defe90802daaa7b97c06825bfb3260f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:10.835927Z digest=sha256:bd4227f82234599e7acdab1cda1263f4b09c03c2adc46afcec6a9080dfb1196d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.021717Z digest=sha256:554d5f5ea69ab64402a894f063ca7c88267bc0023e822c318490e5bd7bfe39cf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.026098Z digest=sha256:63454d724b11c8d074ac0b15f3be3498020b27257d844b431f832e40074f9781

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.030598Z digest=sha256:320b8721a098a83693ed193f365c639365e0d9b2fb9368e70b2ac6b6689d8559

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.034927Z digest=sha256:ba3c5150a78f8825342a22a31c57d5ffde16f2f22b33bf711e565b2576bb1fa9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.044084Z digest=sha256:45f7faa22554b21870d693508ba00a2137b2b0c5af8fb3085eefab0248a63789

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.048256Z digest=sha256:fc1cc8708911290798d19e3d9bec18da46e477fdd47a2594546e90699b6cdb51

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.060517Z digest=sha256:58f4d8ee3f7a242ecbed4d160a9bc968808e0b6bf44389cc66439cdb3814832a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.064084Z digest=sha256:2d5aaa71ac43348c6d41795204eb81d6c0240789e67716e073bc7be60e9f382c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.067511Z digest=sha256:08cc520615929550c10ebcec0fe43d0895eebd71a5eb4efeb207ee8225d46fcc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.078654Z digest=sha256:8b86cef3d575aa5e7e9840e29d25d587fded3a6b5013c405c9a0d5e387292e9a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.087161Z digest=sha256:f21c93c0bcbb873d78fd32a239886a6cfdb3fd033bc78f23a092a4605f02fbf8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.091462Z digest=sha256:7741cab02a9037be1ceb2d331cf03c75693ce6dbf588401276f4d1b0ee86ed46

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.095741Z digest=sha256:6e720df1a8c0566b8593609c0d95ec5aa8f6c98159fe6705993a9a95750c358a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.099955Z digest=sha256:2f6358dae69feea6af6321643aa37565069c7d58811e75d0bf5c406ede02891f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.105087Z digest=sha256:884450112872f3c5482aa437878ec16b4b50da764d29c80e8abbf56bc5539705

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.109273Z digest=sha256:cfb84276611ffd4f9133e4e1a383d0502ae2f5abb3a58a7450d699fac5089fa1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.113378Z digest=sha256:f67912b60bb5886f401860b8cb05c79e804c19cdb71ca61943b35a1d1523a99d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.117919Z digest=sha256:12448da8a1bd965be23832febae6930da4817538b91165a98f5f360de63b58de

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.122051Z digest=sha256:42d539b14242044943cdbbc13e2fd9da2fc7774d6ad33bb0bc5279c4f4937d97

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.126503Z digest=sha256:33c3b84c3915aca24f99d5f9d8b38052fe6275edf69a5083e628e082a3e529b5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.130681Z digest=sha256:a039bd5969ce08b11960415126d2a46b47685bcdaeaa0beb9328e6695fc9e778

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.134990Z digest=sha256:5c9732f1301a1005585a7d5e6ecb810c06927ef7581cfc3469922e2ff2c661e8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.144749Z digest=sha256:5f067c01913173f2d09bd94c83448d93d64db8fc78a19fe01f6a99c07ea50da7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.153100Z digest=sha256:89efc9e7d9dbdd233b71e777f9e4c649fb30c2ba0d4e5e9e62526939bb6723a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.161315Z digest=sha256:58f5778a2a738f972bde78d8bfd96820a1a2faa5473fe5e5192ed475b3560b80

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.169755Z digest=sha256:e07a3857e623e92dff62177ff44759de5b98bdc2036e8d8a31f61921ca14bc7e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.173972Z digest=sha256:89a3f00a27f536ffd36d7e4c1cd78bb276e6e180b20c7473c2c7667b32b56189

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.182766Z digest=sha256:8ab4cb4c9101fbc636d41f2536b14478bc8386c625bc61487270c0327ed595da

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.186954Z digest=sha256:1790dde1b0807b7ab185ee45c200d2b28824f609e315597e9180a304d5853388

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.190939Z digest=sha256:38051f237bdd9dd86ebf428bf0904d6f666192d5110371bcf24dadf976bb1b0a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.194969Z digest=sha256:3c4027c4d6a283f180137d88f97cd81894f693fa2ea2affff8e508bf1f2c3cfc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.199222Z digest=sha256:7249359130c5f60ff602e98a7cced602de5bfd4c835e9da76d44c8df641a4038

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.203188Z digest=sha256:f3b8ac78759a9864ceebe2280a805a6ef7e99a5d345dc38674d631fef77922b2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.211731Z digest=sha256:33191acc35f9543e51b93abcf4ecd1a1d7925c9b705c6890b00268768567ec0c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.216154Z digest=sha256:8738d7b29881589f127f687715769bcd0f87a4782d50b06cad5575f4b3e33b02

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.220100Z digest=sha256:0a12b3c306f4839ced27fdc5001274bcadfcd43f73e8425ac1cb096863ede4ba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.223584Z digest=sha256:2a2d5d721ab59945c34129f8371177d4356c40b1f5ac77908a5b8ebe63d278d3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.227139Z digest=sha256:b9b1fe16228c6233e4233a8fa09a04f5d4f2823a0d03fd06395432585ac31b28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.235043Z digest=sha256:119b15e57bcf481524e3d96dd9278df7eca42c9b6718b7c5419c6f5472bde618

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.239153Z digest=sha256:dfd82a9b414545b9364aa3b6dc1238816a7ad2b4d5dae71931b5434651585c5f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.243380Z digest=sha256:2dc809aacf51103b4907a60fc7256faf28290dc0a8e9c04b573f25e158c791be

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.247696Z digest=sha256:cef51d53a590eb05f065fd0a7838dda65a662fb2acbbff10786ea8dde20e41c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.257379Z digest=sha256:008b6f3740c8d434115e98673e733de9f2f313ecb2d7158a4592411eb9a61654

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.265928Z digest=sha256:5d10177639451e61261ce611fc56b2c63b70d4e3f20972651be40c5a936d0043

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:03:11.261570Z digest=sha256:295388a60dda833f0ba3af86d6c260fab93144c1a7bd646461205a072eedd32d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:25:20.166543Z digest=sha256:c0bbf1f8eb34cb79ff862b060502d992f5ee2ee3c9d659bb0ba2672b95e4e9e8