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Paper Citation Record · LEDGER

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2606.18906.

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

pith.paper-citation-record.v1
2606.18906 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:16:13.170736Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

44 of 44 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16c6bca1-5dac-4241-9fd5-7b4c651d3eba · outbound

This paper cites Stable flow: Vital layers for training-free image editing.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Stable flow: Vital layers for training-free image editing

Reference 1

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:e51a93bfe30209a729b08d0bdd6e7a97efa37d175e813be0706909ad5749a3e2

Observation 2b143c24-d3c1-4a25-aa87-57f7b9e02e19 · outbound

This paper cites Ledits++: Limitless image editing using text-to-image models.2024 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 8861– 8870, 2023.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Ledits++: Limitless image editing using text-to-image models.2024 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 8861– 8870, 2023

Reference 2

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:8950e61414e94002a67bb3b89ef80013bdeb78162f98c5437edd3c499aa9e6d2

Observation 06239af8-6f27-4ef4-a978-16d0b20aaf41 · outbound

This paper cites Masactrl: Tuning-free mutual self- attention control for consistent image synthesis and editing.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Masactrl: Tuning-free mutual self- attention control for consistent image synthesis and editing

Reference 3

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:f3976f71fb27924764d7c9b5cabaf958c85d0af4ffd68537b453b09d225cc95b

Observation 07258591-2ed8-44ff-8351-6a8f21c65751 · outbound

This paper cites Lomoe: Localized multi-object editing via multi-diffusion.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Lomoe: Localized multi-object editing via multi-diffusion

Reference 4

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:6694f49f45bc9713e5f46436f6d4bad010847c706843b7bd81762662136e0e6a

Observation 97d45712-c31e-4ad6-92bf-ce0473d11d6b · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.ACM Transactions on Graphics (TOG), 42:1 – 10, 2023.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.ACM Transactions on Graphics (TOG), 42:1 – 10, 2023

Reference 5

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:e47f17512cba429cce3fab19337f105e23409914efd6cfbb675883cd6620dac7

Observation 5b93386c-22ac-47de-ae87-0bb95589762d · outbound

This paper cites Training- free layout control with cross-attention guidance.2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 5331–5341, 2023.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Training- free layout control with cross-attention guidance.2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 5331–5341, 2023

Reference 6

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:33017d7afc80d48c9f92fd40f149de25d20b1a9064569ac52841caa3dca3ea0a

Observation 11e06250-7f8b-407f-b924-00113e7e8bfc · outbound

This paper cites Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement

Reference 7

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arxiv_id, observed 2026-07-04T00:19:13.838737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:91a07ea43cc4b9904692d53ffe56b85085709cf9793d4871324bda826430d58d

Observation 2670fe9c-6848-4502-9210-53e721f7a637 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 8

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arxiv_id, observed 2026-07-04T00:19:13.824790Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:73a3feba51ac095799d842d84e23578f8c3eb47a7f080c48b77407b486587a94

Observation ec33acf0-d838-4021-9bdc-11c93d7681f9 · outbound

This paper cites Be yourself: Bounded attention for multi-subject text-to-image generation.In European Conference on Com- puter Vision (ECCV), 2024.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Be yourself: Bounded attention for multi-subject text-to-image generation.In European Conference on Com- puter Vision (ECCV), 2024

Reference 9

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Observation aee8442f-a95f-42e7-8454-28916fc5b5e0 · outbound

This paper cites Layeredit: Disentangled multi-object editing via conflict- aware multi-layer learning.The 40th Annual AAAI Confer- ence on Artificial Intelligence, 2026.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Layeredit: Disentangled multi-object editing via conflict- aware multi-layer learning.The 40th Annual AAAI Confer- ence on Artificial Intelligence, 2026

Reference 10

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Observation 942016ec-a28e-45de-afc3-9fee9c44d338 · outbound

This paper cites an unresolved cited work.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Unresolved cited work

Reference 11

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:158781084f01cddde518fcfff5ec70a33004f8687656a9a1053c055bd8962e27

Observation 464e181e-dc17-4df7-9521-24b295871501 · outbound

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

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 12

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local_arxiv, observed 2026-07-04T00:19:13.817733Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:3bb01d45d52e5a83ad213db0ec7eda51201f89ed4e3988048c67fcda80668696

Observation 3d2f580c-72a1-437f-91d1-9485e2a61fb8 · outbound

This paper cites Delta de- noising score.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Delta de- noising score

Reference 13

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:7700fb634eb9e5cdb88dc01198c5bd7dc930b099f1a63c57bf5fae5d35012e48

Observation f4e4bd06-dc6d-499a-9400-c7e2b0a4b6e5 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 14

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:459c244b58b1784410f840e4cd45358e35bca02dea4998969b55f554e1c8fa72

Observation 4844667d-6341-4f18-a84a-893de8724387 · outbound

This paper cites Paralleledits: Efficient multi- aspect text-driven image editing with attention grouping.Ad- vances in Neural Information Processing Systems 37, 2024.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Paralleledits: Efficient multi- aspect text-driven image editing with attention grouping.Ad- vances in Neural Information Processing Systems 37, 2024

Reference 15

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Observation 34ff08ce-1f1d-4a24-8b11-967eb7bd089c · outbound

This paper cites An edit friendly ddpm noise space: Inversion and manipulations.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing An edit friendly ddpm noise space: Inversion and manipulations

Reference 16

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:52a28e6f42e108d62219a6ab5a542e7003b816c04d0cd51accc88618377d7138

Observation a2ab82ab-ab52-43eb-910b-b70fa5f83356 · outbound

This paper cites Bounded editing: Multi-object image manipulation with region- specific control.Proceedings of the 40th ACM/SIGAPP Sym- posium on Applied Computing, 2025.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Bounded editing: Multi-object image manipulation with region- specific control.Proceedings of the 40th ACM/SIGAPP Sym- posium on Applied Computing, 2025

Reference 17

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source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:13108d3e41f714ac121621391197cf10f9025105e8a48d8c7a5b8cba02b1581f

Observation ac30a8b0-91c9-421a-917c-6d189cb31d24 · outbound

This paper cites Flexiedit: Frequency-aware latent refinement for enhanced non-rigid editing.In European Conference on Computer Vision (ECCV), 2024.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Flexiedit: Frequency-aware latent refinement for enhanced non-rigid editing.In European Conference on Computer Vision (ECCV), 2024

Reference 18

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Observation 457c0be6-1ed3-456b-85f9-a095c669c764 · outbound

This paper cites FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models

Reference 19

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2dcde4a5-0b0c-40ad-9481-6c784c0eef4a · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 20

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Observation 3c42d4e5-c98d-4023-ac5b-99fe1c9390b7 · outbound

This paper cites Divide & Bind Your Attention for Improved Generative Semantic Nursing.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Divide & Bind Your Attention for Improved Generative Semantic Nursing

Reference 21

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Observation 1674cfc6-3d64-407c-af28-831fb7b4c0f4 · outbound

This paper cites Moedit: On learning quantity perception for multi- object image editing.2025 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 2683– 2693, 2025.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Moedit: On learning quantity perception for multi- object image editing.2025 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 2683– 2693, 2025

Reference 22

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Observation 8b09ec97-b56f-4182-aebf-afa110cc501f · outbound

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BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Unresolved cited work

Reference 23

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Observation 6754e6cf-0d15-4a16-85b7-b21ee377d394 · outbound

This paper cites Sdedit: Guided image synthesis and editing with stochastic differential equa- tions.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Sdedit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 24

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Observation 9080cd43-fa1c-41f5-a002-638fdebe4725 · outbound

This paper cites Null-text inversion for editing real im- ages using guided diffusion models.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Null-text inversion for editing real im- ages using guided diffusion models

Reference 25

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Observation b89ef234-651f-4710-a5d2-c1a97e1e7565 · outbound

This paper cites Contrastive denoising score for text-guided latent diffusion image editing.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 9192–9201, 2023.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Contrastive denoising score for text-guided latent diffusion image editing.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 9192–9201, 2023

Reference 26

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Observation 7314afed-4875-4dc7-883c-cc8734e11d8f · outbound

This paper cites Cross-attention head position patterns can align with human visual concepts in text-to-image gener- ative models.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Cross-attention head position patterns can align with human visual concepts in text-to-image gener- ative models

Reference 27

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Observation 3ab95261-ccf5-4b58-8876-2c1b4af90c06 · outbound

This paper cites Peebles and Saining Xie.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Peebles and Saining Xie

Reference 28

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Observation a2039f51-ad34-4cf6-8d4d-49d85c0d2c2d · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 29

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local_arxiv, observed 2026-07-04T00:19:13.847368Z

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Observation 9f3d871f-92b9-4c5d-a44e-fb2537796e07 · outbound

This paper cites Self-cross diffu- sion guidance for text-to-image synthesis of similar subjects.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Self-cross diffu- sion guidance for text-to-image synthesis of similar subjects

Reference 30

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Observation 95ee18fe-851a-4396-bd47-7e24fd884f2a · outbound

This paper cites Learning transferable visual models from natural language supervision.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Learning transferable visual models from natural language supervision

Reference 31

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Observation d4a6eef5-7588-474c-9717-257bfa7eb781 · outbound

This paper cites Fds: Frequency-aware denois- ing score for text-guided latent diffusion image editing.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Fds: Frequency-aware denois- ing score for text-guided latent diffusion image editing

Reference 32

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Observation 745a8ce8-4e95-43d2-9e0e-7a997fa97f5c · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer

Reference 33

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Observation 18e041d9-1539-40bf-b226-876f0287bd20 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 34

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local_arxiv, observed 2026-07-04T00:19:13.839796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1eca3212-d3f5-47d8-82a5-6eb21b98ca1b · outbound

This paper cites Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing

Reference 35

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verified exact
arxiv_id, observed 2026-07-04T00:19:13.842408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f78142ee-d449-4165-a219-927bc518b650 · outbound

This paper cites Denoising Diffusion Implicit Models.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Denoising Diffusion Implicit Models

Reference 36

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verified exact
local_arxiv, observed 2026-07-04T00:19:13.832292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:58fbf8e57a406bb0b27b6db6d57d62f9c838c892d9f1dabd1d8096b14f6dbf93

Observation a951d1c0-8cf9-475d-8a02-a13728c00748 · outbound

This paper cites Lin, and Ferhan Ture.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Lin, and Ferhan Ture

Reference 37

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no resolver link, observed 2026-06-26T21:16:13.170736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2649cd71-d4e5-4ad7-ad96-fbb7b831c843 · outbound

This paper cites Diffuse, attend, and segment: Unsupervised zero-shot segmentation using stable diffusion.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Diffuse, attend, and segment: Unsupervised zero-shot segmentation using stable diffusion

Reference 38

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unresolved
no resolver link, observed 2026-06-26T21:16:13.170736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:493d9b5a11b4b3d9a55b13c6cf087f5fcef1325dff9e884b7cbe1e9beeb7cd3a

Observation 449d92f8-53a0-42bc-bf9d-4b1346f9843e · outbound

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

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Plug-and-play diffusion features for text-driven image-to-image translation

Reference 39

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unresolved
no resolver link, observed 2026-06-26T21:16:13.170736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:3409f931bb5222a9e722a291cc1591ef8120fb8ccfe7ce3df3de58c91ab4c7e0

Observation f990c516-374b-4803-bb24-7cd8f002f34c · outbound

This paper cites an unresolved cited work.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Unresolved cited work

Reference 40

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unresolved
no resolver link, observed 2026-06-26T21:16:13.170736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:30c8fd31fddd5581ed69eea9aa6a5fcb3b217231c367fd31cdabcd4deeb32ba3

Observation 2f99d9d1-985e-4ed0-bda3-5856248da9c7 · outbound

This paper cites Object-aware Inversion and Reassembly for Image Editing.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Object-aware Inversion and Reassembly for Image Editing

Reference 41

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verified exact
arxiv_id, observed 2026-07-04T00:19:13.837425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:30791d4b4b042c4a832f8d05f3937f44f25cfabe1aaf3f25882f65c5d99230e1

Observation bade26b0-5bd3-452d-995c-a16a84e37f33 · outbound

This paper cites Splitflow: Flow decomposition for inversion-free text-to- image editing.In Conference on Neural Information Pro- cessing Systems (NeurIPS), 2025.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Splitflow: Flow decomposition for inversion-free text-to- image editing.In Conference on Neural Information Pro- cessing Systems (NeurIPS), 2025

Reference 42

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no resolver link, observed 2026-06-26T21:16:13.170736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:d59e41f777a0803df360bf45d850fc5d23bb74ddce50c2aafdc948b809743975

Observation cf403afa-fc09-440d-93e1-99686dfe2982 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing Efros, Eli Shecht- man, and Oliver Wang

Reference 43

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unresolved
no resolver link, observed 2026-06-26T21:16:13.170736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:abc5ff451e9c810b082a6d0aa37e61ec99cfbdf7ff8f51281f6c865cc8c9265a

Observation 9126997b-766f-448e-b193-7a5a963ebd01 · outbound

This paper cites MDE-Edit: Masked Dual-Editing for Multi-Object Image Editing via Diffusion Models.

BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing MDE-Edit: Masked Dual-Editing for Multi-Object Image Editing via Diffusion Models

Reference 44

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verified exact
arxiv_id, observed 2026-07-04T00:19:13.834809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T21:16:13.170736Z digest=sha256:a3044300d208e24f949d239815fd2c744536831334dd5ebbfdedf02ce73cb9c2

Pith citing papers

No inbound Pith citation observations are available.