Paper Citation Record · LEDGER

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.13301.

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

pith.paper-citation-record.v1
2506.13301 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:32.894651Z

measured 33 of 33 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact4
verified fuzzy17
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 741f0998-c8e2-4197-80dd-b686caa1d86a · outbound

This paper cites Instructpix2pix: Learning to follow im- age editing instructions.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Instructpix2pix: Learning to follow im- age editing instructions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:36.831603Z

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.

Observation b1b1faff-4c59-4c0d-aea6-653c3bbd2f46 · outbound

This paper cites Cross-scope spatial-spectral information aggrega- tion for hyperspectral image super-resolution.IEEE Trans.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Cross-scope spatial-spectral information aggrega- tion for hyperspectral image super-resolution.IEEE Trans

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:36.498402Z

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.

Observation 665f8a1e-45db-4522-a86b-9a75c041a80f · outbound

This paper cites DragText: Rethinking Text Embedding in Point-based Image Editing.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing DragText: Rethinking Text Embedding in Point-based Image Editing

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:40:33.678497Z

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.

Observation 270fba35-6ce5-408c-a06d-28ae51ddbfa5 · outbound

This paper cites StableDrag: Stable Dragging for Point-based Image Editing.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing StableDrag: Stable Dragging for Point-based Image Editing

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:40:33.466020Z

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.

Observation 9b1af621-3401-4dc3-8ed1-e66cfcb25b5c · outbound

This paper cites Diffusion models beat gans on image synthe- sis.Advances in Neural Information Processing Systems, 34:8780–8794,.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Diffusion models beat gans on image synthe- sis.Advances in Neural Information Processing Systems, 34:8780–8794,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:36.136510Z

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.

Observation a2ab9a3c-a81f-460d-9ecb-ecbb68e0d4d6 · outbound

This paper cites Instruct- diffusion: A generalist modeling interface for vision tasks.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Instruct- diffusion: A generalist modeling interface for vision tasks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:35.823512Z

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.

Observation ad5c6a25-1300-4b34-8ece-05e4fdaddca5 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:31.265741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7325443-2a4c-4a9d-ba5a-c1bc37747aaf · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851,.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:35.645261Z

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.

Observation 0dedc2ce-29b8-4a60-9dd9-a35594d7dc1d · outbound

This paper cites Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:31.570698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb3007f3-3bae-4b25-9347-1d6ee13013ed · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Imagic: Text-based real image editing with diffusion models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:35.282750Z

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.

Observation ced8245d-ceb2-4e8b-b390-771fbbdb49b4 · outbound

This paper cites Diffusionclip: Text-guided diffusion mod- els for robust image manipulation.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Diffusionclip: Text-guided diffusion mod- els for robust image manipulation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:35.119467Z

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.

Observation 762df908-a99a-4cb5-86fd-ecaf20aa5df6 · outbound

This paper cites FreeDrag: Feature Dragging for Reliable Point-based Image Editing.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing FreeDrag: Feature Dragging for Reliable Point-based Image Editing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:31.809744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b46ae3-38b8-496c-adb7-f37e737383db · outbound

This paper cites HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:31.883912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cadc8060-7427-445b-adf3-cdb1727dda3a · outbound

This paper cites Null-text inver- sion for editing real images using guided diffusion models.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Null-text inver- sion for editing real images using guided diffusion models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:34.974793Z

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.

Observation 40b23137-2db9-40e7-b525-fa6191f573c9 · outbound

This paper cites DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:32.015302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7c36d44-97b1-43bc-81c1-9097a908035f · outbound

This paper cites Diffeditor: Boosting accuracy and flexibility on diffusion-based image editing.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Diffeditor: Boosting accuracy and flexibility on diffusion-based image editing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:34.756422Z

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.

Observation dc539913-3f05-4028-a0f8-8beba683506e · outbound

This paper cites Drag your gan: Interactive point-based manip- ulation on the generative image manifold.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Drag your gan: Interactive point-based manip- ulation on the generative image manifold

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:34.548617Z

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.

Observation 028b63be-fbfa-4816-a8c0-947fc71752ff · outbound

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

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing High-resolution image synthesis with latent diffusion models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:32.198663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0133dffa-87da-4a18-a579-58b9632feee2 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:32.254744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef076ab-d831-4a9d-a238-6f1235db6a06 · outbound

This paper cites Denoising Diffusion Implicit Models.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Denoising Diffusion Implicit Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:32.384475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00e6d2c5-c32e-4f58-a51f-c369e66013bf · outbound

This paper cites Plug-and-play diffusion fea- tures for text-driven image-to-image translation.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Plug-and-play diffusion fea- tures for text-driven image-to-image translation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:34.108253Z

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.

Observation 3e3d4264-9727-4f43-89d4-a0f5e2bd0cea · outbound

This paper cites Inversion-Free Image Editing with Natural Language.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Inversion-Free Image Editing with Natural Language

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:32.584191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7c411c0-650a-4a02-9cad-d05c246f02e2 · outbound

This paper cites Inst-Inpaint: Instructing to Remove Objects with Diffusion Models.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Inst-Inpaint: Instructing to Remove Objects with Diffusion Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:32.648006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2312d0b1-fb5b-474b-aabf-928acc3c1d08 · outbound

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

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing The unreasonable effectiveness of deep features as a perceptual metric

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:33.892854Z

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.

Observation 9d62b4ef-7e98-47f5-a729-1311c4d89981 · outbound

This paper cites FastDrag: Manipulate Anything in One Step.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing FastDrag: Manipulate Anything in One Step

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:40:33.069397Z

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.

Observation 89a06e73-27bb-4391-a3a6-a655e31e34f6 · outbound

This paper cites Dragdiffusion: Harnessing diffusion mod- els for interactive point-based image editing.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Dragdiffusion: Harnessing diffusion mod- els for interactive point-based image editing

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:34.330086Z

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.

Observation 8a1fbc02-78f5-4f78-9c7c-3db8885fc2d0 · outbound

This paper cites GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:40:33.203857Z

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.

Observation a8aa14d6-bf2e-422a-9d9c-50cc18eb9347 · outbound

This paper cites Easydrag: Effi- cient point-based manipulation on diffusion models.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Easydrag: Effi- cient point-based manipulation on diffusion models

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:35.484750Z

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.

Observation 1e589db7-f1af-4ac7-88b2-5ffb237a6e68 · outbound

This paper cites Diffusion self- guidance for controllable image generation.Advances in Neural Information Processing Systems, 36:16222–16239,.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Diffusion self- guidance for controllable image generation.Advances in Neural Information Processing Systems, 36:16222–16239,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:36.001826Z

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.

Observation 2bfdbfea-d9bf-4c24-b177-163e2464e728 · outbound

This paper cites Classifier-Free Diffusion Guidance.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Classifier-Free Diffusion Guidance

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:31.360659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea3621c-ef6b-4b1f-b17a-f99f8845f814 · outbound

This paper cites Mas- actrl: Tuning-free mutual self-attention control for consis- tent image synthesis and editing.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Mas- actrl: Tuning-free mutual self-attention control for consis- tent image synthesis and editing

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:36.689883Z

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.

Observation e1714830-0ef5-42ce-960e-59186be3b06b · outbound

This paper cites Cyclic cross-modality interaction for hyperspec- tral and multispectral image fusion.IEEE Transactions on Circuits and Systems for Video Technology, 35(1):741– 753,.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Cyclic cross-modality interaction for hyperspec- tral and multispectral image fusion.IEEE Transactions on Circuits and Systems for Video Technology, 35(1):741– 753,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:36.288601Z

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.

Observation e543f824-b84e-4b01-913f-8ab2cb495831 · outbound

This paper cites Noise Map Guidance: Inversion with Spatial Context for Real Image Editing.

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing Noise Map Guidance: Inversion with Spatial Context for Real Image Editing

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:30.487060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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