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Paper Citation Record · LEDGER

SONIC: Spectral Optimization of Noise for Inpainting with Consistency

As of 4 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 3 inbound Pith citation observations for arXiv:2511.19985.

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

pith.paper-citation-record.v1
2511.19985 v3

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:25:44.381053Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T19:19:10.911488Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:51:42.872173Z

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 74fdf70d-fdee-4b03-889d-c88bdd95eb5f · outbound

This paper cites NTIRE 2017 chal- lenge on single image super-resolution: Dataset and study.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency NTIRE 2017 chal- lenge on single image super-resolution: Dataset and study

Reference 1

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Observation 4f3277b8-0761-409d-abc8-c1bca806c61c · outbound

This paper cites A noise is worth diffusion guidance.arXiv, 2024.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency A noise is worth diffusion guidance.arXiv, 2024

Reference 2

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Observation f5eca613-1aff-42b4-a671-07d30edef479 · outbound

This paper cites Stable diffusion 3.5 medium: A 2.5 billion parameter multimodal diffusion transformer.https : / / huggingface.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Stable diffusion 3.5 medium: A 2.5 billion parameter multimodal diffusion transformer.https : / / huggingface

Reference 3

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Observation b5ed1daf-d82b-4452-b981-d4c17fe1136a · outbound

This paper cites Claude code.https://claude.com/ claude-code, 2025.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Claude code.https://claude.com/ claude-code, 2025

Reference 4

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Observation 142fb404-299f-4c37-a981-d33ed4d106e5 · outbound

This paper cites Blended latent diffusion.ACM Trans.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Blended latent diffusion.ACM Trans

Reference 5

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Observation db25efe4-10dc-45db-b41f-d0932e37446e · outbound

This paper cites Universal guidance for diffusion models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Universal guidance for diffusion models

Reference 6

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Observation 8c33dcf6-6185-4e10-ab72-94b5b79f41ac · outbound

This paper cites Improving text-guided object inpainting with semantic pre-inpainting.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Improving text-guided object inpainting with semantic pre-inpainting

Reference 7

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Observation ba7e324b-bd93-49c8-bd95-c223d1e143ec · outbound

This paper cites Mar- tinez.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Mar- tinez

Reference 8

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Observation d613aad1-e796-4e86-8f46-c42174debe78 · outbound

This paper cites Di- makis, and Mauricio Delbracio.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Di- makis, and Mauricio Delbracio

Reference 9

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Observation ee8031e0-487a-4bc5-aad0-4c1729c9cf45 · outbound

This paper cites Solving inverse problems with flair.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Solving inverse problems with flair

Reference 10

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Observation a82478b5-ebeb-4297-aeeb-f5f75304184e · outbound

This paper cites Scaling rec- tified flow transformers for high-resolution image synthesis.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Scaling rec- tified flow transformers for high-resolution image synthesis

Reference 11

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Observation d11290a5-0bde-49c1-a076-c3562b646839 · outbound

This paper cites Frequency-guided diffusion for training- free text-driven image translation.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Frequency-guided diffusion for training- free text-driven image translation

Reference 12

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Observation f41cef25-e2aa-4d76-8eaf-73e9e8671d79 · outbound

This paper cites Zico Kolter, Ruslan Salakhutdinov, and Stefano Ermon.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Zico Kolter, Ruslan Salakhutdinov, and Stefano Ermon

Reference 13

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Observation b8d21844-45ec-4a8c-ad39-08c6f0fb88ed · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 14

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Observation 9840aa7c-590f-49be-8d7b-932ad86fc41d · outbound

This paper cites Classifier-free diffusion guidance.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Classifier-free diffusion guidance

Reference 15

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Observation e1a9327f-357a-4293-999e-2f59f05c1db9 · outbound

This paper cites Denoising dif- fusion probabilistic models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Denoising dif- fusion probabilistic models

Reference 16

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Observation 3390d35c-76bb-443e-99ea-c72fa03daf85 · outbound

This paper cites Diffusion model-based image editing: A survey.IEEE Trans.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Diffusion model-based image editing: A survey.IEEE Trans

Reference 17

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Observation fd4109aa-7c6f-422e-9de8-86d89175c163 · outbound

This paper cites Uniedit-flow: Unleashing inversion and editing in the era of flow models.arXiv, 2025.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Uniedit-flow: Unleashing inversion and editing in the era of flow models.arXiv, 2025

Reference 18

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Observation 58fa2116-d52e-4e5c-9916-d20121c23318 · outbound

This paper cites Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion

Reference 19

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Observation 0170dc5f-58f0-4105-a926-99cff263dcb2 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency A style-based generator architecture for generative adversarial networks

Reference 20

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Observation 7d0b8c3f-b506-4255-a271-56390f8e033c · outbound

This paper cites Denoising diffusion restoration models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Denoising diffusion restoration models

Reference 21

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Observation fae86909-fe36-4e52-855c-bee3fbb4f37b · outbound

This paper cites Flowdps: Flow-driven posterior sampling for inverse prob- lems.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Flowdps: Flow-driven posterior sampling for inverse prob- lems

Reference 22

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Observation a397ac9b-b5f7-4a38-8b1e-3762ced35655 · outbound

This paper cites Rad: Region-aware diffusion models for image inpainting.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Rad: Region-aware diffusion models for image inpainting

Reference 23

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Observation 4f01242c-60a8-4ef1-a100-069350d6e0cf · outbound

This paper cites Kingma and Jimmy Ba.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Kingma and Jimmy Ba

Reference 24

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Observation e78d8d06-1bc6-4677-ab12-5021ba18c71a · outbound

This paper cites Enhancing compositional text-to-image generation with reli- able random seeds.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Enhancing compositional text-to-image generation with reli- able random seeds

Reference 25

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Observation 933af8fc-183a-4a63-b894-20089436586f · outbound

This paper cites an unresolved cited work.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Unresolved cited work

Reference 26

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Observation e72ba6dd-8104-40de-bb52-9356e8a89ca5 · outbound

This paper cites Corrfill: Enhancing faithfulness in reference-based inpainting with correspondence guidance in diffusion models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Corrfill: Enhancing faithfulness in reference-based inpainting with correspondence guidance in diffusion models

Reference 27

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Observation dd67848e-3321-4dc0-b23c-1b4455e208ab · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 28

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Observation 4c6f0db1-ed3f-48b0-8af2-c6b8b8bae4ec · outbound

This paper cites Repaint: Inpaint- ing using denoising diffusion probabilistic models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Repaint: Inpaint- ing using denoising diffusion probabilistic models

Reference 29

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Observation 3c9b5fe8-4bae-40e9-8054-4ff2262b3b62 · outbound

This paper cites Is-diff: Im- proving diffusion-based inpainting with better initial seed.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Is-diff: Im- proving diffusion-based inpainting with better initial seed

Reference 30

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Observation 6daf6279-86c3-4db0-9855-e0989babe199 · outbound

This paper cites Hd-painter: High-resolution and prompt-faithful text-guided image inpainting with diffusion models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Hd-painter: High-resolution and prompt-faithful text-guided image inpainting with diffusion models

Reference 31

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Observation d960713d-cd03-4246-a7e9-460d6572c0b0 · outbound

This paper cites Metaxas, and Yezhou Yang.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Metaxas, and Yezhou Yang

Reference 32

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Observation da10f473-f5f8-49f7-95b5-34bb3d6c37ef · outbound

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

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Learning transferable visual models from natural language supervision

Reference 33

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Observation b30150c2-373b-4721-b26e-b01a3265a7fc · outbound

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

SONIC: Spectral Optimization of Noise for Inpainting with Consistency High-resolution image syn- thesis with latent diffusion models

Reference 34

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Observation 25d0f11a-244f-43ab-83cf-5417a6e8c04d · outbound

This paper cites Flowopt: Fast optimization through whole flow processes for training- free editing.arXiv, 2025.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Flowopt: Fast optimization through whole flow processes for training- free editing.arXiv, 2025

Reference 35

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Observation 90fd43e3-2074-45d5-a654-9f623533d60e · outbound

This paper cites Dimakis, and Sanjay Shakkottai.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Dimakis, and Sanjay Shakkottai

Reference 36

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Observation 62a5d6cc-b0cf-4ab8-bf92-cbd2a59eb7df · outbound

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SONIC: Spectral Optimization of Noise for Inpainting with Consistency Unresolved cited work

Reference 37

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Observation fce44894-281d-4cd9-82d7-d6072ffe243e · outbound

This paper cites Laion-5b: an open large-scale dataset for training next generation image-text models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Laion-5b: an open large-scale dataset for training next generation image-text models

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source=pdf_text observed=2026-08-03T20:25:44.320060Z digest=sha256:00c22315013357fbd35500002ce9088cfd037b142467670c546fd6e018ff85c6

Observation 1991318d-de4b-4fd2-a6d7-b4c319137dcc · outbound

This paper cites From missing pieces to masterpieces: Image completion with context-adaptive diffusion.IEEE Trans.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency From missing pieces to masterpieces: Image completion with context-adaptive diffusion.IEEE Trans

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source=pdf_text observed=2026-08-03T20:25:44.323351Z digest=sha256:3d71ed5e683ebef4411e2f7d02c4e3c04b3c0486d4408e99416fbb5b4ffaf31c

Observation ccdf5bd4-23c8-4a10-9eaf-a5ed3a1db4d7 · outbound

This paper cites Denois- ing diffusion implicit models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Denois- ing diffusion implicit models

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source=pdf_text observed=2026-08-03T20:25:44.326225Z digest=sha256:cbed5fb260c55ad12863fafdc4df79138107fd8f470df26a4a8bf9d91a523e5d

Observation 005fb953-a19f-4593-8da6-6faaf93a3f8d · outbound

This paper cites Resolution-robust large mask inpainting with fourier convolutions.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Resolution-robust large mask inpainting with fourier convolutions

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source=pdf_text observed=2026-08-03T20:25:44.329510Z digest=sha256:8127ec02cfb0fed079e15963276b7002732a39642612a6517458bb1022f1d63d

Observation 3b293480-cc6c-49b3-b4c1-6faf65950d4b · outbound

This paper cites Diffusers: State-of-the-art diffu- sion models.https://github.com/huggingface/ diffusers, 2022.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Diffusers: State-of-the-art diffu- sion models.https://github.com/huggingface/ diffusers, 2022

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source=pdf_text observed=2026-08-03T20:25:44.332911Z digest=sha256:c6c575049b0de30adf84de77e0ff8191ca617d89d0c9d17af7541e37d1491dca

Observation 173829f0-387b-400c-a328-7559ba1abd02 · outbound

This paper cites Seeds of structure: Patch pca reveals universal com- positional cues in diffusion models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Seeds of structure: Patch pca reveals universal com- positional cues in diffusion models

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source=pdf_text observed=2026-08-03T20:25:44.336296Z digest=sha256:be3801f0dacabad33d0e6e4b85f94fc14126e8c2f9e8bb5c64a78830b03b9a19

Observation 715fa88a-6b26-4d3e-8484-a9975fe087be · outbound

This paper cites Zero-shot image restoration using denoising diffusion null-space model.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Zero-shot image restoration using denoising diffusion null-space model

Reference 44

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source=pdf_text observed=2026-08-03T20:25:44.339694Z digest=sha256:0125a42f7dc59d290816a5532c05c9ab093de74769451cae11d1b573b6618d4a

Observation d87b0e9d-99f2-4227-b58d-3947c4cef71d · outbound

This paper cites Towards enhanced image inpainting: Mitigating unwanted object insertion and preserving color consistency.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Towards enhanced image inpainting: Mitigating unwanted object insertion and preserving color consistency

Reference 45

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source=pdf_text observed=2026-08-03T20:25:44.343283Z digest=sha256:7d2db67e3d25871439f149a744a5dc9c739665b05cf2860679a95528b929d976

Observation f55ea4eb-48c6-44cc-ba5d-936d60223129 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.IEEE Trans.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Image quality assessment: From error visibility to structural similarity.IEEE Trans

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source=pdf_text observed=2026-08-03T20:25:44.347008Z digest=sha256:8f0fed96fa8162e1aef978e2d7c4d7c0173efa917a57e787a0159ad6a16ad722

Observation 388a2c1c-729b-4e28-8630-fec0ae5c0811 · outbound

This paper cites Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis.arXiv, 2023.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis.arXiv, 2023

Reference 47

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source=pdf_text observed=2026-08-03T20:25:44.350766Z digest=sha256:7910a2b2e86fc4764353a68a09047534e68828744a3cea1981da2bfffb3c72d4

Observation b75c872c-800a-4a96-8b76-05911d00003b · outbound

This paper cites Turbofill: Adapting few-step text-to-image model for fast image inpainting.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Turbofill: Adapting few-step text-to-image model for fast image inpainting

Reference 48

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source=pdf_text observed=2026-08-03T20:25:44.353681Z digest=sha256:7ca64e146355f8cc3924831ac6688adcea01d7fadd05b587703d7dabd9f0d881

Observation f07b97c3-c672-4ef7-98a2-489a2f1dd00d · outbound

This paper cites Smartbrush: Text and shape guided object inpainting with diffusion model.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Smartbrush: Text and shape guided object inpainting with diffusion model

Reference 49

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source=pdf_text observed=2026-08-03T20:25:44.356676Z digest=sha256:287a8de7b2a780c99f238a9e7013af0c88927b9dec28e8305fe2283eb17bf815

Observation 7f9bb1fd-004a-4bbb-98e0-4e28c07324e8 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 50

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source=pdf_text observed=2026-08-03T20:25:44.359568Z digest=sha256:0a33d2b69ebf0ba3685680060e8c030691bae5a9771928f750dcbeb4c23094ba

Observation c1e653bc-e7be-4215-88b3-494aac3b9811 · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion mod- els.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Paint by example: Exemplar-based image editing with diffusion mod- els

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source=pdf_text observed=2026-08-03T20:25:44.362585Z digest=sha256:86f59a2e5d852884f434fd762deaae6498a09236c3043511a10edb4ed19cb5bd

Observation 6a215800-64ae-43ad-8c97-6fab3c70df07 · outbound

This paper cites Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model

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source=pdf_text observed=2026-08-03T20:25:44.365832Z digest=sha256:fb1c4abec72111e7e8786f00fe80537fd2880c77045448c5b0514f81bfb5a909

Observation a74e050e-0beb-4635-8c27-1aa9141f5c3b · outbound

This paper cites Freedom: Training-free energy-guided condi- tional diffusion model.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Freedom: Training-free energy-guided condi- tional diffusion model

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source=pdf_text observed=2026-08-03T20:25:44.368959Z digest=sha256:914a583fa22685aaa54fe6b405b65788277eb283cd729d49eff4ed0ef4a22dd7

Observation 7422414b-dbe0-4964-9596-dfd421b6f1d7 · outbound

This paper cites Towards coherent image in- painting using denoising diffusion implicit models.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Towards coherent image in- painting using denoising diffusion implicit models

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source=pdf_text observed=2026-08-03T20:25:44.371991Z digest=sha256:8a19635443f2c3939589b2756e4265cf42d383f92f7908a45900a850280ac5b2

Observation d2e03057-5338-4894-b2df-b3b11381bd69 · outbound

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

SONIC: Spectral Optimization of Noise for Inpainting with Consistency Adding conditional control to text-to-image diffusion models

Reference 55

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source=pdf_text observed=2026-08-03T20:25:44.374891Z digest=sha256:53d6693603ee3122ecec5b15042bbf693897352695a46ec7800d30e44a9971cd

Observation b907f984-ecac-4545-b700-8bad51ca32e9 · outbound

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

SONIC: Spectral Optimization of Noise for Inpainting with Consistency The unreasonable effectiveness of deep features as a perceptual metric

Reference 56

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source=pdf_text observed=2026-08-03T20:25:44.377825Z digest=sha256:fbc279b219748e990c775a213df58669226dd9d466eeee5074965523c6778d1e

Observation f8dbff67-7632-4a5f-8577-6dfcccb7f559 · outbound

This paper cites mask" or.

SONIC: Spectral Optimization of Noise for Inpainting with Consistency mask" or

Reference 57

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source=pdf_text observed=2026-08-03T20:25:44.381053Z digest=sha256:deaadc1e1079b381a906376e70e868df2c1a0327666cfffd7b69b6983dc953eb

Pith citing papers

Observation b37a6694-96cc-4f42-8fd2-c84f4af4e9be · inbound

InpaintSLat: Inpainting Structured 3D Latents via Initial Noise Optimization cites this paper.

InpaintSLat: Inpainting Structured 3D Latents via Initial Noise Optimization SONIC: Spectral Optimization of Noise for Inpainting with Consistency

Reference 2

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arxiv_id, observed 2026-07-02T01:17:25.856157Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:59:30.331397Z digest=sha256:3570e1bbc8fa503a3bc33144bfcf57b5baa811a269d6a7fd7d2241636aa4ce28

Observation ae008baa-c105-444b-995a-3aef45cfcfaf · inbound

Observable Performance Does Not Fully Reflect Adaptive System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint cites this paper.

Observable Performance Does Not Fully Reflect Adaptive System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint SONIC: Spectral Optimization of Noise for Inpainting with Consistency

Reference 1

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source=pdf_text observed=2026-07-14T19:19:10.911488Z digest=sha256:7d73d89b58e57d38c210645b26c6bdb6e4c9c8a6f3875501cf7bbaa5c9cd1dac

Observation b2d47c11-4292-463b-805f-fa4a87cb70e5 · inbound

Map2World: Segment Map Conditioned Text to 3D World Generation cites this paper.

Map2World: Segment Map Conditioned Text to 3D World Generation SONIC: Spectral Optimization of Noise for Inpainting with Consistency

Reference 1

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arxiv_id, observed 2026-07-02T01:17:25.856157Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:08:58.213637Z digest=sha256:f111e7fb619962f073b95bdac88b5fb97d336abc2d0f0c73b5b35f83e941dc7e