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Paper Citation Record · LEDGER

On the Controllability-Fidelity Frontier in Diffusion Editing

As of 7 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 0 inbound Pith citation observations for arXiv:2606.09901.

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

pith.paper-citation-record.v1
2606.09901 v1

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T20:20:47.183401Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

100 of 105 outbound references displayed

  • verified exact34
  • verified fuzzy0
  • unresolved65
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de008c3f-7bee-4309-bf97-ad0db0994086 · outbound

This paper cites LEDITS++: Limitless Image Editing using Text-to-Image Models.

On the Controllability-Fidelity Frontier in Diffusion Editing LEDITS++: Limitless Image Editing using Text-to-Image Models

Reference 1

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Observation 0a2e434a-5e1a-4bbe-bbbc-70e6b86c2eb3 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instruc- tions.

On the Controllability-Fidelity Frontier in Diffusion Editing Instructpix2pix: Learning to follow image editing instruc- tions

Reference 2

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:e46954e6687f9fa6641d3366390f6d26777b3a713b67c378b5799400f637370d

Observation c651444f-5d45-4a7c-8ee8-716bc5e0d187 · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing

Reference 3

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:439333fd574001a51ad7b7c7918794806609888d8d5d81ec8f6247fbf9e76a5f

Observation 992ecf17-5915-45b4-a6b2-2f9237bd3e98 · outbound

This paper cites Offset: Segmentation-based focus shift revision for composed image retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Offset: Segmentation-based focus shift revision for composed image retrieval

Reference 4

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:d168f0c1f9f74e8f5a03975bfbcf5828759a3c01c606df125e78f337ce1901bf

Observation 0e9a6f93-14fc-4ef6-8875-9012caedc74d · outbound

This paper cites Hud: Hierarchical uncertainty-aware disambiguation network for composed video retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Hud: Hierarchical uncertainty-aware disambiguation network for composed video retrieval

Reference 5

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:043483f905aa23d9bb48b16d7179738427952fce2529ea4e9aaab47df814b0d3

Observation cafde421-8343-4860-90af-79634c50aff5 · outbound

This paper cites Intent: Invariance and discrimination-aware noise mitigation for robust composed image retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Intent: Invariance and discrimination-aware noise mitigation for robust composed image retrieval

Reference 6

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:70f561bcfb96db7a8ca25ab00a88b13cbceac77eeb3e6874eeb792a7d128fe91

Observation dec090b5-9ee6-4281-80dd-cc82e29d3e47 · outbound

This paper cites ILVR: Conditioning method for denoising diffusion probabilistic models.

On the Controllability-Fidelity Frontier in Diffusion Editing ILVR: Conditioning method for denoising diffusion probabilistic models

Reference 7

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:6b53906531ca9e82d554a8d24ae8ab3c4642fa414b9b6c300c14104f72ed7318

Observation 6396c9f1-69e8-4987-88b0-f02c747d18b6 · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 8

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:f575f091aa8194cdb089ce169ad11cec85f5466e723a326e5cfb997429128d0e

Observation fc496ba4-7aed-4379-8a42-f2a013c1a7ca · outbound

This paper cites StableDrag: Stable dragging for point-based image editing.

On the Controllability-Fidelity Frontier in Diffusion Editing StableDrag: Stable dragging for point-based image editing

Reference 9

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:ebb713bd4a7097e1c9b9138b50ce1f77496bf604a62f297db15326d6fef4ee20

Observation 857c549b-a8b5-4ba1-a33c-f9ce348b3dcb · outbound

This paper cites FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing.

On the Controllability-Fidelity Frontier in Diffusion Editing FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing

Reference 10

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:051fc5a4f9c406217997a4351a74121e8fa2c337588ddbe0900f757b7bea5662

Observation 7a9a5000-9105-4c72-aa09-449edd8d2f0a · outbound

This paper cites The stable signature: Rooting watermarks in latent diffusion models.

On the Controllability-Fidelity Frontier in Diffusion Editing The stable signature: Rooting watermarks in latent diffusion models

Reference 11

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:7b406fb49905343deee6e113ea3e61ea29440d0f395d5c20b1cd7c4f28b44b57

Observation 948b43bb-7816-4dbb-9714-bff00fcd200d · outbound

This paper cites C2pa technical specification.

On the Controllability-Fidelity Frontier in Diffusion Editing C2pa technical specification

Reference 12

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:fd0e37de082177458577baa982ca05ef5f0982c1081260b1726ed1296fe899db

Observation df64a3e8-77c3-493d-b69a-b27fa41b5de4 · outbound

This paper cites Pair: Complementarity-guided disentanglement for composed im- age retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Pair: Complementarity-guided disentanglement for composed im- age retrieval

Reference 13

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:d597aed876aeff0afd466c6d5c03f4e1ffa74d409a35a2c3afe84d310013a3fa

Observation 9a509281-6f39-4f72-a600-132bedd29062 · outbound

This paper cites Air-know: Arbiter-calibrated knowledge- internalizing robust network for composed image retrieval,.

On the Controllability-Fidelity Frontier in Diffusion Editing Air-know: Arbiter-calibrated knowledge- internalizing robust network for composed image retrieval,

Reference 14

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:eaeec5808ac16d0174e2b8c788e1f2fc0b9957f6ea6add52344a411cdcb4c4ce

Observation 0ec226bd-b969-4a08-9ed4-76f3b97e0d92 · outbound

This paper cites Erasing concepts from diffusion models.

On the Controllability-Fidelity Frontier in Diffusion Editing Erasing concepts from diffusion models

Reference 15

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:579db0bb264d3d65d3ed3ed79132f1fd245150b967d2a900ebaa559653c1a948

Observation f00bf856-9b75-42ce-b450-f40ebb766724 · outbound

This paper cites EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers.

On the Controllability-Fidelity Frontier in Diffusion Editing EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers

Reference 16

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:08fff66695e4448daa415b8a6cf8007f40c29c90fc5e13e093a584107be7ad50

Observation 041cce0c-7eb5-4476-836a-5acd639a7657 · outbound

This paper cites Revoking amnesia: Rl-based trajectory optimization to resurrect erased concepts in diffusion models.arXiv preprint arXiv:2510.03302, 2025.

On the Controllability-Fidelity Frontier in Diffusion Editing Revoking amnesia: Rl-based trajectory optimization to resurrect erased concepts in diffusion models.arXiv preprint arXiv:2510.03302, 2025

Reference 17

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9c97a0cb-d615-420d-a715-6ec221dfe147 · outbound

This paper cites Hqg-net: Unpaired medical image enhancement with high-quality guid- ance.IEEE Transactions on Neural Networks and Learning Systems, 2023.

On the Controllability-Fidelity Frontier in Diffusion Editing Hqg-net: Unpaired medical image enhancement with high-quality guid- ance.IEEE Transactions on Neural Networks and Learning Systems, 2023

Reference 18

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:ba9bc5727423b071d2a9b88476fd6b47915464b84d30c14a8ff662ab2f2bfab2

Observation 9e424469-a4c4-4ae9-a322-fdea309e65d6 · outbound

This paper cites Degradation-resistant unfolding network for heterogeneous image fusion.

On the Controllability-Fidelity Frontier in Diffusion Editing Degradation-resistant unfolding network for heterogeneous image fusion

Reference 19

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:b86c51b2fd8d3aa40cb6c57f6acb04595822de1c894b979c677b21151df6afea

Observation bd8c3fc5-4082-4956-ad3e-dc666fac38ba · outbound

This paper cites Camouflaged object detection with feature decomposition and edge reconstruction.

On the Controllability-Fidelity Frontier in Diffusion Editing Camouflaged object detection with feature decomposition and edge reconstruction

Reference 20

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:7dbad3274865b00d3fce7e19831ea01ed5e07ac4712dd16f1c4d6be49d734e6d

Observation dd6e42b0-d511-41e4-98c0-c7da0f48ecc5 · outbound

This paper cites Weakly- supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping.NeurIPS, 36, 2024.

On the Controllability-Fidelity Frontier in Diffusion Editing Weakly- supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping.NeurIPS, 36, 2024

Reference 21

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:51feed7f9c7d21d4dd4036e2ce7a81d91301dee22f1b684b112acfad6d4d7edd

Observation 93df2e60-21ef-4761-8bca-16f4df77958d · outbound

This paper cites Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects.ICLR, 2024.

On the Controllability-Fidelity Frontier in Diffusion Editing Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects.ICLR, 2024

Reference 22

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:cff8216f84eb7c1ebbb395c044629de6e159fb04f17ff87ef8179a588d899e5e

Observation 5a79cfce-4f2e-4b60-9088-af9cd603ecfc · outbound

This paper cites Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model.ICLR, 2025.

On the Controllability-Fidelity Frontier in Diffusion Editing Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model.ICLR, 2025

Reference 23

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:c260eb0ab76d10c7ca8fc6fbf8056a33f5a61855868d09b6eeaf6578770efc5d

Observation bd566dfc-9607-4319-8d35-6248baed2e02 · outbound

This paper cites Seg- ment concealed object with incomplete supervision.TPAMI,.

On the Controllability-Fidelity Frontier in Diffusion Editing Seg- ment concealed object with incomplete supervision.TPAMI,

Reference 24

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:a9aaf9d4a62bac2cd8dc2d2c999f1c0aed18535a4e75ffd2e4fc24e26c9ca282

Observation 7a87609f-face-4efa-9cb6-d40666e2c80b · outbound

This paper cites Diffusion models in low-level vision: A survey.TPAMI, 2025.

On the Controllability-Fidelity Frontier in Diffusion Editing Diffusion models in low-level vision: A survey.TPAMI, 2025

Reference 25

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:321243746b6d7f9a80c5b24171b44f70ec5e1433e4e6c2cb7111fb35b1592567

Observation eb2a8ae0-8987-493a-bd84-6fb2bdd136a4 · outbound

This paper cites Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement.

On the Controllability-Fidelity Frontier in Diffusion Editing Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement

Reference 26

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:f61545259bcde69e1285ff2f214cbb7c94278b3b8fc3e3ec6fb70900aef4194d

Observation dd2ae88d-d4b7-4ed0-8ae0-95f57de7f340 · outbound

This paper cites UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration.

On the Controllability-Fidelity Frontier in Diffusion Editing UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration

Reference 27

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:2cd82d69f84f0cdc2dae814d8f16718ea40c3412491459260b2b52318fbc5847

Observation b738d4a5-fb30-4faf-856d-0185228262f7 · outbound

This paper cites Scaler: Sam-enhanced collaborative learning for label-deficient concealed object segmentation.

On the Controllability-Fidelity Frontier in Diffusion Editing Scaler: Sam-enhanced collaborative learning for label-deficient concealed object segmentation

Reference 28

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:95cf8bbe48b1de528cd8c33477f8512810604c8af168eded000c418352fc8dcb

Observation 9bffa103-4ee5-46c9-8c71-432992bb47c2 · outbound

This paper cites Run: Reversible unfolding network for concealed object segmentation.ICML, 2025.

On the Controllability-Fidelity Frontier in Diffusion Editing Run: Reversible unfolding network for concealed object segmentation.ICML, 2025

Reference 29

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:81bd72ccf0d57abb7c26d15d96482accca9509624d6e8ce7bfe42528822c0e03

Observation 9be9e852-8650-4058-80c5-1eb42ceb12a4 · outbound

This paper cites Nested unfolding network for real-world concealed object segmentation.arXiv preprint arXiv:2511.18164, 2025.

On the Controllability-Fidelity Frontier in Diffusion Editing Nested unfolding network for real-world concealed object segmentation.arXiv preprint arXiv:2511.18164, 2025

Reference 30

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:a5ad449cbf8a05d3f73fe9f6b24fa53a13fd0df9f86fde5a54d17cdf9b522a39

Observation dca5ca88-94b5-4403-8184-2a6128af81cb · outbound

This paper cites Unfoldir: Rethinking deep unfolding network in illumination degrada- tion image restoration.CVPR, 2026.

On the Controllability-Fidelity Frontier in Diffusion Editing Unfoldir: Rethinking deep unfolding network in illumination degrada- tion image restoration.CVPR, 2026

Reference 31

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:94dd4ec264b29bf89f5fc007571930f1a1a6d33253b3230e305081d4cd0338e4

Observation 40123b94-66fc-46a4-95de-77064cb9c68a · outbound

This paper cites Refining context- entangled content segmentation via curriculum selection and anti-curriculum promotion.ICML, 2026.

On the Controllability-Fidelity Frontier in Diffusion Editing Refining context- entangled content segmentation via curriculum selection and anti-curriculum promotion.ICML, 2026

Reference 32

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:589d472c9ca93ea9bac2552db5726ecb6e124379f5bd8546abe90cc9526d5e32

Observation 20477d93-9c3d-4bd1-9416-0e64dc6f8f8f · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 33

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local_arxiv, observed 2026-07-02T20:37:22.539819Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:81acbb703d08b1bf1b7b81ba9c1ea9b56804e7a7110786e019db0993ebf50d9b

Observation 58e90bcd-8fd6-4736-8bd2-ccecce7bd5a2 · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing GANs trained by a two time-scale update rule converge to a local Nash equilib- rium

Reference 34

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:cfe0d212b860923bfc92c1ebe4f175a459029ff73b1f4e9f85787089ac14f145

Observation 0acc34be-d86e-4e53-ab35-91b040ceb4c2 · outbound

This paper cites Classifier-Free Diffusion Guidance.

On the Controllability-Fidelity Frontier in Diffusion Editing Classifier-Free Diffusion Guidance

Reference 35

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local_arxiv, observed 2026-07-02T20:37:22.569458Z

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:9fc8e92d983c29d38d195edf28e565a9105cf8c170359caca6c6d791ba78c55c

Observation 9e4111d8-3cb5-4edb-b422-bf635ca4e320 · outbound

This paper cites Denoising diffu- sion probabilistic models.

On the Controllability-Fidelity Frontier in Diffusion Editing Denoising diffu- sion probabilistic models

Reference 36

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Observation 59c0e5f0-0440-4dba-a1a5-b89a2bc77e74 · outbound

This paper cites Refine: Composed video retrieval via shared and differential semantics enhancement.

On the Controllability-Fidelity Frontier in Diffusion Editing Refine: Composed video retrieval via shared and differential semantics enhancement

Reference 37

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Observation e83b4f5d-b2b4-459c-9538-29716ab3c1dc · outbound

This paper cites Median: Adaptive intermediate-grained aggregation network for composed im- age retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Median: Adaptive intermediate-grained aggregation network for composed im- age retrieval

Reference 38

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Observation 4e14bd92-9169-4cb3-a5bd-23c535d1033c · outbound

This paper cites Mquant: Unleashing the inference potential of multimodal large language models via static quantization.

On the Controllability-Fidelity Frontier in Diffusion Editing Mquant: Unleashing the inference potential of multimodal large language models via static quantization

Reference 39

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Observation f8b10527-1d13-4acb-8a3e-0e0212281ca7 · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code

Reference 40

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:6c8db7040acfa4cb9e069469373af086963f875ace53560641794c522501a284

Observation 062870cf-0fed-4594-b2e0-aa0179336159 · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing Imagic: Text-based real image editing with diffusion models

Reference 41

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:eee82c55aa910992a43d862f54a32a1d44501ca7aa9033ef184b399a83ca108c

Observation cf84340a-79c0-4c2e-82f5-43a91e2ec9a8 · outbound

This paper cites Patch-wise structural loss for time series forecasting.

On the Controllability-Fidelity Frontier in Diffusion Editing Patch-wise structural loss for time series forecasting

Reference 42

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Observation 03f1145e-ac18-4739-8169-2f03f0a35b87 · outbound

This paper cites Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts.

On the Controllability-Fidelity Frontier in Diffusion Editing Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts

Reference 43

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:fdc0f76eff6978c57ad416e1909e402d75cfd1d64acfa72f87a7cde545240457

Observation dd657e1f-ae27-464e-9a8e-7c60b870462d · outbound

This paper cites Encoder: Entity mining and modification relation binding for composed image retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Encoder: Entity mining and modification relation binding for composed image retrieval

Reference 44

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:51b4ede086fc7e555826ae4c8ae9bab6466f1126b783e7ee2a5da08ea00a1d17

Observation 8c569d9b-4075-4fca-abf2-2f2340f8af2c · outbound

This paper cites FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval

Reference 45

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:4af658a0ec231e3f11fdc1bd9c77ebb384f0d5faf6ab53a330eeba0f896fe0f9

Observation 626a025c-2ca4-4d75-b0f3-5a03a280e486 · outbound

This paper cites Retrack: Evidence-driven dual-stream directional anchor calibration network for com- posed video retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Retrack: Evidence-driven dual-stream directional anchor calibration network for com- posed video retrieval

Reference 46

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:418740d3d127cc4c64958dac666b06d8b90044cc956e948ce8ac0e59bc9bfcac

Observation c91f7f2c-64aa-4952-9455-b6b954f9398f · outbound

This paper cites Conesep: Cone-based robust noise-unlearning compositional network for composed image retrieval, 2026.

On the Controllability-Fidelity Frontier in Diffusion Editing Conesep: Cone-based robust noise-unlearning compositional network for composed image retrieval, 2026

Reference 47

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:5c9e66382e0f57924887281c25f707b7c7400850c22a5b400b2c843a2ca59eea

Observation 03854a00-29bb-43fe-8ab9-0e7a23cbc151 · outbound

This paper cites Habit: Chrono- synergia robust progressive learning framework for com- posed image retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Habit: Chrono- synergia robust progressive learning framework for com- posed image retrieval

Reference 48

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:f765731729d59f1018726c8f1e03de80e6208323f7f885db3c99d4f8347a9633

Observation 4b5bb512-42b1-4686-9281-c8be3df03342 · outbound

This paper cites Tema: Anchor the image, follow the text for multi-modification composed image retrieval, 2026.

On the Controllability-Fidelity Frontier in Diffusion Editing Tema: Anchor the image, follow the text for multi-modification composed image retrieval, 2026

Reference 49

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:429164c8e9ed2936c5170e126702757bcfc696815e7d79b0b1a1ac2a6e432ad2

Observation 13c0bdc7-4aa3-4baf-8f33-d5892664712b · outbound

This paper cites Rethinking irregular time series forecasting: A simple yet effective baseline.

On the Controllability-Fidelity Frontier in Diffusion Editing Rethinking irregular time series forecasting: A simple yet effective baseline

Reference 50

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:daabc4d0a59d37326c3024128119a41eb47f53bff66e77dba7e40b751c2532af

Observation 97bd80b0-2573-4fd1-ad06-230cb340d91a · outbound

This paper cites Tf- icon: Diffusion-based training-free cross-domain image composition.

On the Controllability-Fidelity Frontier in Diffusion Editing Tf- icon: Diffusion-based training-free cross-domain image composition

Reference 51

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:ccf607b5c20d5d78acec571c7c6bec80db9f31c39ecd8776a3f344a4207ea61c

Observation 68a30830-b8fa-4c6a-badb-c41eae83a8f3 · outbound

This paper cites Mace: Mass concept erasure in diffusion models.

On the Controllability-Fidelity Frontier in Diffusion Editing Mace: Mass concept erasure in diffusion models

Reference 52

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:d9231243d86860f320f135a86acfdc6809dc56fa4837e76d826d692e2ee264e0

Observation 3913645a-f910-4fde-995d-b6ce0f51e168 · outbound

This paper cites Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances.

On the Controllability-Fidelity Frontier in Diffusion Editing Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances

Reference 53

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:9dc61b43023dc232f6db5dca39eaeba9b62f97da094b71685d7527169c3bc7ca

Observation e02c7bc0-7eca-4cd3-8dde-3962a3acc8ee · outbound

This paper cites arXiv preprint arXiv:2509.21278 , year=.

On the Controllability-Fidelity Frontier in Diffusion Editing arXiv preprint arXiv:2509.21278 , year=

Reference 54

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:fdcae3bffa9fee747b6df2a8610c6665b487bf47de700b0326bc1fc400a11b36

Observation 0d259c6e-6d1b-4ab6-9b47-e1f24a81d24a · outbound

This paper cites RePaint: Inpainting using denoising diffusion probabilistic models.

On the Controllability-Fidelity Frontier in Diffusion Editing RePaint: Inpainting using denoising diffusion probabilistic models

Reference 55

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:7b8b4e385a42691405b1b50f08358382db7db49e3df34bd81e8749562ec5ecba

Observation 1cf0e57a-aa05-44f3-a6cd-108ebd60c2d3 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

On the Controllability-Fidelity Frontier in Diffusion Editing SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 56

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:79d2d4b00f861fa73a6ea6053684d7562375a3d7d0d6a7e556af6bd1c1c83d45

Observation a17499f1-0aab-4cfc-977c-0e95a1303c51 · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing Null-text inversion for editing real images using guided diffusion models

Reference 57

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:f4cbb325771d94f328fbff45a3003f0cf36a0b9923111e259259a8272d847802

Observation 92d7717b-7da2-4153-908c-899e7d5bc578 · outbound

This paper cites Langtime: A language-guided unified model for time series forecasting with proximal policy optimization.

On the Controllability-Fidelity Frontier in Diffusion Editing Langtime: A language-guided unified model for time series forecasting with proximal policy optimization

Reference 58

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:e6a7880da337723c1ff0856ee28e2c9ce47211cf293c884e31924107355f72a4

Observation f66d61ff-d112-439a-b700-f5ccfc53556a · outbound

This paper cites Drag your GAN: Interactive point-based manipulation on the generative image manifold.

On the Controllability-Fidelity Frontier in Diffusion Editing Drag your GAN: Interactive point-based manipulation on the generative image manifold

Reference 59

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:7eda4f9fc05163b9bd31eb035b62fcb370b5c262bc3ceb4010ac0a4e211ae503

Observation dc7accb5-5b35-4319-882f-18025d67d1cc · outbound

This paper cites arXiv preprint arXiv:2603.29291 (2026).

On the Controllability-Fidelity Frontier in Diffusion Editing arXiv preprint arXiv:2603.29291 (2026)

Reference 60

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:25705674a4cadadea00aa67e618438248c3e09748d0d3e2cb57ad69667e48c65

Observation d885979b-9001-403d-b5d1-e5a9ce2d501a · outbound

This paper cites Jensen, Zhenli Sheng, and Bin Yang.

On the Controllability-Fidelity Frontier in Diffusion Editing Jensen, Zhenli Sheng, and Bin Yang

Reference 61

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:c4cf0943c4c3e5b5c0f444a209a8aaeaa25f19b9a921590ba16a4d5a30062ec1

Observation d70f1342-3e28-41b4-ab46-4e597bd83fa6 · outbound

This paper cites arXiv preprint arXiv:2502.10721 , year=.

On the Controllability-Fidelity Frontier in Diffusion Editing arXiv preprint arXiv:2502.10721 , year=

Reference 62

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:754a688bf6cb5d1395e3acd290f2e23b756b140a276563e90ecd4580998edec3

Observation 673ca47a-f0c1-4be0-9cb7-9d6f8798ba0d · outbound

This paper cites Jensen, and Bin Yang.

On the Controllability-Fidelity Frontier in Diffusion Editing Jensen, and Bin Yang

Reference 63

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:1db7fdbb33e36769336e4df84dcab7d7daf9bed7688eab6500383d3390419eee

Observation 63837ccd-c774-4da6-bdb5-a5a798d1fc02 · outbound

This paper cites Dbloss: Decomposition-based loss function for time series forecast- ing.

On the Controllability-Fidelity Frontier in Diffusion Editing Dbloss: Decomposition-based loss function for time series forecast- ing

Reference 64

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:696dc63b1ec16e036986db55ee384414458103f4cbc51e27a66f4a314172aed8

Observation 5cb34d4e-1f72-4a8b-8d9e-b9e6ede50e6e · outbound

This paper cites DUET: Dual clustering enhanced multivariate time series forecasting.

On the Controllability-Fidelity Frontier in Diffusion Editing DUET: Dual clustering enhanced multivariate time series forecasting

Reference 65

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:72078c43aaa059d9fed52a1c236c2d42c7770739007d64bd7ad560203adc0429

Observation ac4271c3-43e7-4730-b93f-a7180ead0e42 · outbound

This paper cites DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables.

On the Controllability-Fidelity Frontier in Diffusion Editing DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables

Reference 66

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:d5baba758438ea578ce418176eab0fe50f12420c20725d79df242b2e610fb54d

Observation d836a2dc-2f49-494c-a20f-ec22a559ee24 · outbound

This paper cites All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting.

On the Controllability-Fidelity Frontier in Diffusion Editing All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting

Reference 67

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:a7626b2f544d97ec78ba7688ffd0835a664963dfc9515ea323e4fec30582d0d6

Observation 6f796cec-28bb-49c9-8621-1957405cb917 · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing High-resolution image synthesis with latent diffusion models

Reference 68

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:c4697e3fb95bc60436f60b9447e7733015b4405680ad882364a06752ab0ef6a4

Observation 0438c55a-7cff-4932-bf54-0a2fc4e7e5c7 · outbound

This paper cites Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations.

On the Controllability-Fidelity Frontier in Diffusion Editing Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

Reference 69

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:2748c7ff30e3158d187f8df85bbf82f5997c1bba2cc88b9c6baf12c64099a28c

Observation 5af0bd17-a071-458b-a95f-bb9b5404cfdb · outbound

This paper cites DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing.

On the Controllability-Fidelity Frontier in Diffusion Editing DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

Reference 70

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:af39875428d67f0e5334eb0fd979de26718d8b276d0223964e1ee218dee08862

Observation 47841ac2-c1b7-4949-a2fd-8db4b1c6cadb · outbound

This paper cites Denoising diffusion implicit models.

On the Controllability-Fidelity Frontier in Diffusion Editing Denoising diffusion implicit models

Reference 71

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:63280b881c6809b01852efea51b38c784ff56b05618a06beb3d8761625a05596

Observation f06a24f9-67df-4fea-bd05-8cbc154dc3c6 · outbound

This paper cites Solar wind speed prediction with two- dimensional attention mechanism.Space Weather, 19(7): e2020SW002707, 2021.

On the Controllability-Fidelity Frontier in Diffusion Editing Solar wind speed prediction with two- dimensional attention mechanism.Space Weather, 19(7): e2020SW002707, 2021

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:82a465a562f3a9c8d9743b36027c63dee78db3f14f86fcf1e490bc9b65c04468

Observation 060388a5-20cc-4d0e-a6a1-d17b54258458 · outbound

This paper cites Accurate solar wind speed prediction with multimodality information.Space: Science & Technology, 2022.

On the Controllability-Fidelity Frontier in Diffusion Editing Accurate solar wind speed prediction with multimodality information.Space: Science & Technology, 2022

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:969b1093bd339eb5ee7ed888b0a67c27633614a076751e343312c24cbff7f4cc

Observation b35fddd3-07b9-4637-86ca-3d600ba0edda · outbound

This paper cites Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment.

On the Controllability-Fidelity Frontier in Diffusion Editing Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment

Reference 74

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:9ed51c9b04b386d654f750a316c835eaa2e2f2a133cd93100d55c351f652dd67

Observation 30b0e074-55a2-402c-b2da-31c902818e8c · outbound

This paper cites Hierarchical classification auxiliary net- work for time series forecasting.

On the Controllability-Fidelity Frontier in Diffusion Editing Hierarchical classification auxiliary net- work for time series forecasting

Reference 75

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:5f9303c62df1eaf6c7a739447b71647b23906efffcc32523820406dab0aacbc4

Observation 1aadf2dd-e33f-4bb6-898d-16d11d57a586 · outbound

This paper cites Learning pattern-specific experts for time series forecasting under patch-level distribution shift.

On the Controllability-Fidelity Frontier in Diffusion Editing Learning pattern-specific experts for time series forecasting under patch-level distribution shift

Reference 76

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:278d278a5a91350e7f0a0ae51f941a9214afaa1a957730991ccfa26ff98236a3

Observation c9aebbbe-52bf-4c99-b264-8d0126364b3e · outbound

This paper cites Ppgf: Probability pattern-guided time series forecasting.IEEE Transactions on Neural Networks and Learning Systems, 2025.

On the Controllability-Fidelity Frontier in Diffusion Editing Ppgf: Probability pattern-guided time series forecasting.IEEE Transactions on Neural Networks and Learning Systems, 2025

Reference 77

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:038027d01cabf460050abb061438b1327e9864b27c1ba59c4cb734e18deca635

Observation 2156b85a-9d24-4492-a8eb-e2e7dd6a7e7c · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing Plug-and-play diffusion features for text-driven image-to- image translation

Reference 78

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:670bbb766910402addd96bb7796ca62fe6c7eb9871320eb1d288df6cf16648f5

Observation 5537365c-5a71-4637-8217-29eca471989d · outbound

This paper cites K 2V AE: A koopman-kalman enhanced variational autoencoder for probabilistic time series forecasting.

On the Controllability-Fidelity Frontier in Diffusion Editing K 2V AE: A koopman-kalman enhanced variational autoencoder for probabilistic time series forecasting

Reference 79

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:58b80ac2ed40481a0afb2a2f58f17c18d208d3a922e4cea3195ced6bf57999fc

Observation 4a8a851e-bde7-4659-a00a-7886083001e5 · outbound

This paper cites CATCH: Channel-aware multivariate time series anomaly detection via frequency patching.

On the Controllability-Fidelity Frontier in Diffusion Editing CATCH: Channel-aware multivariate time series anomaly detection via frequency patching

Reference 80

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:e640951f6edfcb843ab64b57a4b9e15bdf274fc811fbd226491930b12e478b22

Observation 2866bda6-c7fb-48c6-91fb-7036b135620d · outbound

This paper cites A survey of camouflaged object detection and beyond.

On the Controllability-Fidelity Frontier in Diffusion Editing A survey of camouflaged object detection and beyond

Reference 81

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:c97e11a0ef92e70bffaaa37bf885c5b064a1f49df616e1061d41cf38a673b338

Observation 663e2f88-1a66-4466-97d0-c4a0f228a180 · outbound

This paper cites Qualiteacher: Quality-conditioned pseudo-labeling for real-world image restoration.

On the Controllability-Fidelity Frontier in Diffusion Editing Qualiteacher: Quality-conditioned pseudo-labeling for real-world image restoration

Reference 82

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:61088e7b3ef7a80a5a650fbcdf6d9a7c15a819d405e11160782dc76d8a6ff857

Observation 666517ba-012c-46af-9eb7-5a03cb5d51c5 · outbound

This paper cites Beyond ground-truth: Leveraging image quality priors for real-world image restoration.CVPR, 2026.

On the Controllability-Fidelity Frontier in Diffusion Editing Beyond ground-truth: Leveraging image quality priors for real-world image restoration.CVPR, 2026

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:2545a03885e8ae4a87234a7f7642f9c88080a815f59f12b6b87002dff6090a13

Observation b0f0cb0a-1922-4371-8a28-af18629f0b79 · outbound

This paper cites Conquer: Context-aware representation with query enhancement for text-based person search.arXiv preprint arXiv:2601.18625.

On the Controllability-Fidelity Frontier in Diffusion Editing Conquer: Context-aware representation with query enhancement for text-based person search.arXiv preprint arXiv:2601.18625

Reference 84

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:c74b39ea2f270e075947e446f7ac4751cfe073720363f11cf88c9b511a725935

Observation f767b9ce-eb59-4f04-8e1e-56b77ddc58ad · outbound

This paper cites Chat-driven text generation and inter- action for person retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Chat-driven text generation and inter- action for person retrieval

Reference 85

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:408c22af45f649aba80d7d01f9ff9ade29773714d53c6f0bc28c1fb758a5d845

Observation fad0668f-67c3-4d9b-95a1-aa68f3de15f9 · outbound

This paper cites Hvd: Human vision-driven video representation learning for text-video retrieval.arXiv preprint arXiv:2601.16155, 2026a.

On the Controllability-Fidelity Frontier in Diffusion Editing Hvd: Human vision-driven video representation learning for text-video retrieval.arXiv preprint arXiv:2601.16155, 2026a

Reference 86

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:1d5ed7ec4348faf79521dc8a64d3e2e6cdcce77b0fd786e6e97620790e220d48

Observation 8c694c47-ecdb-4a82-80a9-bf3ab3cd2c79 · outbound

This paper cites Delving deeper: Hierarchi- cal visual perception for robust video-text retrieval.

On the Controllability-Fidelity Frontier in Diffusion Editing Delving deeper: Hierarchi- cal visual perception for robust video-text retrieval

Reference 87

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:cfa53bae8e72a4125a70d7e08ba8752b087709acca46f618235cf1b4bfe4eadd

Observation 6a7020b9-1554-4a61-84cc-09bf00c9dd06 · outbound

This paper cites Stable: Efficient hybrid nearest neighbor search via magnitude-uniformity and cardinality-robustness.

On the Controllability-Fidelity Frontier in Diffusion Editing Stable: Efficient hybrid nearest neighbor search via magnitude-uniformity and cardinality-robustness

Reference 88

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:2bf7d52e2515311f95ca1772075c4bfa851926f0b220249b80b66d303c448526

Observation 8974e294-3f2b-4a48-8221-072eedad53f4 · outbound

This paper cites Erase: Bypassing collaborative detection of ai counterfeit via com- prehensive artifacts elimination.IEEE Transactions on Dependable and Secure Computing, pages 1–18, 2026.

On the Controllability-Fidelity Frontier in Diffusion Editing Erase: Bypassing collaborative detection of ai counterfeit via com- prehensive artifacts elimination.IEEE Transactions on Dependable and Secure Computing, pages 1–18, 2026

Reference 89

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:2c130337621629d384c8f2dd191e5d8cabcacd0a95eb36bf9563e5595df0a13f

Observation ba164493-6c5c-4575-bd59-b14b8727770f · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

On the Controllability-Fidelity Frontier in Diffusion Editing IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 90

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local_arxiv, observed 2026-07-02T20:37:22.538489Z

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:539b744bc660a44074d6963ca051a92a6b9753056e8fb5fe168c5791066be989

Observation ac96ffa6-1157-4e89-acc5-82496952f4c2 · outbound

This paper cites InAdvances in Neural Information Processing Systems, volume 36, pages 11809–11822.

On the Controllability-Fidelity Frontier in Diffusion Editing InAdvances in Neural Information Processing Systems, volume 36, pages 11809–11822

Reference 91

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arxiv_id, observed 2026-07-02T20:37:22.610916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:1c2299652e19e419157f99fae2ce2a32d551907dae3349b831553f548a147c88

Observation 74af3fa4-a973-40c1-824a-65788b533ba9 · outbound

This paper cites MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing.

On the Controllability-Fidelity Frontier in Diffusion Editing MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:e4b545b134b49fccf196f9444ca43edb10399443f046cc9f58ff2798c4510ef8

Observation f368eab5-e8a0-44e2-8035-ac9f05b06a34 · outbound

This paper cites Hint: Composed image retrieval with dual- path compositional contextualized network.arXiv preprint arXiv:2603.26341.

On the Controllability-Fidelity Frontier in Diffusion Editing Hint: Composed image retrieval with dual- path compositional contextualized network.arXiv preprint arXiv:2603.26341

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:c8ba135b5b8a37a11fbb1d205cec73664e55507b70fb84fea6e9343ee3a41428

Observation 441178b9-d4d8-4735-998f-63b843e96601 · outbound

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

On the Controllability-Fidelity Frontier in Diffusion Editing Efros, Eli Shecht- man, and Oliver Wang

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:269061b8d7332941b0961a9f7f494f5ba31e97b9be15a6343a3f29d11dc71915

Observation 719ae7f7-fc5b-4382-9dd8-fe999ee274f3 · outbound

This paper cites LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts.

On the Controllability-Fidelity Frontier in Diffusion Editing LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:5957005339ccc254a9d247cd03bc78c77153bbb7d0e41421c7068cd561dd9544

Observation 4ba235c8-2663-4363-b2b9-1535b8e45c75 · outbound

This paper cites UltraEdit: Instruction-based Fine-Grained Image Editing at Scale.

On the Controllability-Fidelity Frontier in Diffusion Editing UltraEdit: Instruction-based Fine-Grained Image Editing at Scale

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arxiv_id, observed 2026-07-02T20:37:22.608326Z

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:be810aa8eda82c2e41e1d2a66d0ff7836ec7eb98b2fd88bcd5bc78802667bc35

Observation 7cfd884c-7519-41b3-9fab-5f94e682fd04 · outbound

This paper cites Leveraging local and global cues for visual tracking via parallel interaction network.IEEE Transactions on Circuits and Systems for Video Technology, 33(4):1671–1683, 2022.

On the Controllability-Fidelity Frontier in Diffusion Editing Leveraging local and global cues for visual tracking via parallel interaction network.IEEE Transactions on Circuits and Systems for Video Technology, 33(4):1671–1683, 2022

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:6c9fc9a5e7ede7e2866cffb796093b3deba1d1d7053067447a57aef449018038

Observation 81127fd9-e9f7-4c30-acfc-fd12dab155ff · outbound

This paper cites Toward unified token learning for vision-language tracking.IEEE Transactions on Circuits and Systems for Video Technology, 34(4):2125–2135, 2023.

On the Controllability-Fidelity Frontier in Diffusion Editing Toward unified token learning for vision-language tracking.IEEE Transactions on Circuits and Systems for Video Technology, 34(4):2125–2135, 2023

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:6e9d9646b787413b2852461095b7520d86c81b98883593b6c2935ec4b1c7bc91

Observation df78b611-8f9e-47d4-83de-114df34390bd · outbound

This paper cites Odtrack: Online dense temporal token learning for visual tracking.

On the Controllability-Fidelity Frontier in Diffusion Editing Odtrack: Online dense temporal token learning for visual tracking

Reference 99

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:0cd6b2a71fe6136476b54a6da92afc39fb61b00c16d38d8244647b3723865fcd

Observation 194384be-dcbe-4761-b739-6c8257883978 · outbound

This paper cites Decoupled spatio-temporal consistency learning for self-supervised tracking.

On the Controllability-Fidelity Frontier in Diffusion Editing Decoupled spatio-temporal consistency learning for self-supervised tracking

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source=pdf_text observed=2026-06-27T20:20:47.183401Z digest=sha256:7c858737ec4d6d4a416b04bb3bb5736ac8713e0b1790ac6d133af440fc03285b

Pith citing papers

No inbound Pith citation observations are available.