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Paper Citation Record · LEDGER

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2411.19652.

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

pith.paper-citation-record.v1
2411.19652 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T06:03:40.892377Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

37 of 37 outbound references displayed

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  • verified fuzzy27
  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55c9524b-55e4-4476-b11b-de21af1c3159 · outbound

This paper cites Blended latent diffusion.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Blended latent diffusion

Reference 1

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Observation 39ed49df-817f-444d-ba91-11429e1093e6 · outbound

This paper cites an unresolved cited work.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Unresolved cited work

Reference 2

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Observation 2a60d3ef-7789-4fb9-800c-2b4c1eb4e491 · outbound

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

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and edit- ing

Reference 3

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Observation 9da953dc-f4dc-4da5-af4d-d3decd37e8ac · outbound

This paper cites an unresolved cited work.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation d0513648-90a9-4079-9145-c605a208df7b · outbound

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

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Diffedit: Diffusion-based semantic image editing with mask guidance

Reference 5

Resolution
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Source-reported events for the cited work

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Observation 57f74299-d6cc-43a9-b987-3b04a995615e · outbound

This paper cites Continual vision-language retrieval via dynamic knowledge rectification.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Continual vision-language retrieval via dynamic knowledge rectification

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 5b2f114a-529d-40e6-b3db-73389ebe53e4 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 7

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Source-reported events for the cited work

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Observation 44f34515-7a99-4a59-90cb-a54a769a13de · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Taming transformers for high-resolution image synthesis

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 931315ab-47dd-4362-967d-a6b8442ac89f · outbound

This paper cites an unresolved cited work.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Unresolved cited work

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 002c770d-6c11-4a52-8e95-289d9a3e872c · outbound

This paper cites Prompt-to-prompt image editing with cross-attention control.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Prompt-to-prompt image editing with cross-attention control

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 05d0ea77-4e33-4078-930c-ffff46337148 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Denoising diffu- sion probabilistic models

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5531d372-18c2-406d-8a2e-eab9bb0268f4 · outbound

This paper cites Classifier-free diffusion guidance.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Classifier-free diffusion guidance

Reference 12

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cc595f1c-c38c-4bd1-9170-e95be3218626 · outbound

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

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing An edit friendly DDPM noise space: Inversion and manipulations

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 55ad79d0-407b-4dff-adc4-fcae0ca7ed6e · outbound

This paper cites Pnp inversion: Boosting diffusion-based editing with 3 lines of code.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Pnp inversion: Boosting diffusion-based editing with 3 lines of code

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 252b9a7b-3788-46c5-bb61-b7e537af1e64 · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Progressive growing of gans for improved quality, stability, and variation

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 571da138-5d00-405f-bcc4-a73fc4e6c6bd · outbound

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

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Imagic: Text-based real image editing with diffusion models

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a94798f9-85ab-4d9e-98b5-367ffdf47045 · outbound

This paper cites Dif- fusionclip: Text-guided diffusion models for robust image 9 manipulation.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Dif- fusionclip: Text-guided diffusion models for robust image 9 manipulation

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 28f6e854-d345-44ac-a275-f72c9dfc6f52 · outbound

This paper cites Supporting Vision-Language Model Inference with Confounder-pruning Knowledge Prompt.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Supporting Vision-Language Model Inference with Confounder-pruning Knowledge Prompt

Reference 18

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec9b2046-eb1b-4319-b2c0-9ab2fed3b300 · outbound

This paper cites StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 9c6c7e24-4cd2-4257-863f-a308ec3c0990 · outbound

This paper cites Dpm-solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Dpm-solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 87c41798-8419-4691-957e-cc12180f98ab · outbound

This paper cites TF-ICON: diffusion-based training-free cross-domain image composi- tion.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing TF-ICON: diffusion-based training-free cross-domain image composi- tion

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7b453c40-4249-4765-9af1-df30ba0bf147 · outbound

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

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Sdedit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4e2161be-b910-4960-87d8-a9a1edbdcf08 · outbound

This paper cites Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2d64c527-8d20-4b2e-94c8-a16f50535eba · outbound

This paper cites Dynamic prompt optimizing for text- to-image generation.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Dynamic prompt optimizing for text- to-image generation

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8b680378-3dbd-41a8-860b-8849c0a78b1b · outbound

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

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Null-text inversion for editing real images using guided diffusion models

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b6423dc3-5bbe-4555-b07d-8824b1af2915 · outbound

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

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Learning transferable visual models from natural language supervision

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9a26cfe2-d16e-4a6c-9e55-0ebe3a2d49bb · outbound

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

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing High-resolution image synthesis with latent diffusion models

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e0aee528-3d46-43e4-9132-4b4f3d61afad · outbound

This paper cites Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 99eec24b-ef0d-441a-8217-b03dc1da0460 · outbound

This paper cites Denoising diffusion implicit models.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Denoising diffusion implicit models

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d4146a8f-0b6d-4c13-bf23-a0a8d223f2e7 · outbound

This paper cites Fine-grained visual prompt learning of vision-language mod- els for image recognition.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Fine-grained visual prompt learning of vision-language mod- els for image recognition

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ad1be4b5-8505-4e0c-8704-6a6014d34b38 · outbound

This paper cites Splicing vit features for semantic appearance transfer.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Splicing vit features for semantic appearance transfer

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:03:41.098294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 57ee2202-1480-4c49-9aaf-70fa3845ad5c · outbound

This paper cites UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image

Reference 32

Resolution
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no resolver link, observed 2026-08-12T06:03:40.869921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:03:40.869921Z digest=sha256:97031f12c2596166c1459f867bb13aad2107246ec458748782ccc2cdc3d91285

Observation 5edca13c-07c6-4a65-97f6-0ec745fbe58e · outbound

This paper cites EDICT: exact diffusion inversion via coupled transformations.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing EDICT: exact diffusion inversion via coupled transformations

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:03:41.084042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T06:03:40.875443Z digest=sha256:247b51e25aca8af4b87c64d51cae9d7e0b13372ec859ca49734ba175c35a1791

Observation 274913ad-7df7-429a-a236-45ee2cfb1c09 · outbound

This paper cites Bovik, Hamid R.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Bovik, Hamid R

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c6d8a31f-a8ae-49c3-8dc5-735237c1c010 · outbound

This paper cites Paint by ex- ample: Exemplar-based image editing with diffusion models.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Paint by ex- ample: Exemplar-based image editing with diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:03:41.053742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T06:03:40.883687Z digest=sha256:6e18488b805dc8dde5062bd03bab1edad2edc8c83250da8f4a28133e95887604

Observation e6cd6fee-6eae-4106-8915-037c19ccebbf · outbound

This paper cites Deep image blending.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Deep image blending

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:03:41.040807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T06:03:40.887666Z digest=sha256:b443a765d7ec93c0e11146607962d6f02ea8d9824ebf903a1f64cc117ece9db7

Observation ecf40f89-c174-44e9-8315-9906b5801421 · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing Efros, Eli Shechtman, and Oliver Wang

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T06:03:41.027507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T06:03:40.892377Z digest=sha256:6950b91d29264e01deb1308dbcee2f2b61c6927c6a47bae25a991e00b7bf0b75

Pith citing papers

No inbound Pith citation observations are available.