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Paper Citation Record · LEDGER

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.19103.

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

pith.paper-citation-record.v1
2506.19103 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:41:41.805989Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

31 of 31 outbound references displayed

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  • verified fuzzy1
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 556d3720-06cc-426f-a765-6f07c86b0164 · outbound

This paper cites Universal Guidance for Diffusion Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Universal Guidance for Diffusion Models

Reference 1

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source=arxiv_source observed=2026-08-15T18:41:41.684118Z digest=sha256:2d985497dbff80cc15fa615aa89e002ca64c8aa05da01aec311f89e15a1ab9c7

Observation 0b701ea8-62d5-453f-8500-be4c22a742df · outbound

This paper cites MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

Reference 2

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source=arxiv_source observed=2026-08-15T18:41:41.688917Z digest=sha256:29c3e9838ec673c72cda48ffed8e9ba7ee06dfa37020f74251dfe36fca32420e

Observation c633e0c8-aec7-41a9-b652-d6ca172defa9 · outbound

This paper cites TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models

Reference 3

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source=arxiv_source observed=2026-08-15T18:41:41.693302Z digest=sha256:3e38655377ef4dcd752743c61c127310c8786e56e52519a1e4280f8ed3a8b74b

Observation 0bbc2ec0-2b52-44b5-b021-5fe2dce2f527 · outbound

This paper cites ReNoise: Real Image Inversion Through Iterative Noising.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models ReNoise: Real Image Inversion Through Iterative Noising

Reference 4

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source=arxiv_source observed=2026-08-15T18:41:41.697234Z digest=sha256:997dbc6241bbe491a3c7eee348cd76072d515bb5082bedf725377279a0456008

Observation 84d2d861-ffa3-4737-b970-2c6859d0e629 · outbound

This paper cites Multistep Consistency Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Multistep Consistency Models

Reference 5

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source=arxiv_source observed=2026-08-15T18:41:41.700938Z digest=sha256:d126b2b8972fd1cb7e5acf41558ea8fcd633812199c2b09527c0593a8d0214da

Observation dc8d3ab7-6b69-4252-9bb2-ec711adfe5e5 · outbound

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

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 6

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source=arxiv_source observed=2026-08-15T18:41:41.704923Z digest=sha256:65ddf8caa3bd8702dfb60ef93e145e28f0ea7d3372ce2162b0dae7c4704ce481

Observation 7e6197f5-4a70-48d4-8c29-dc45105d9f09 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 7

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source=arxiv_source observed=2026-08-15T18:41:41.709801Z digest=sha256:a23e2ddfc3d59114dd155ec2bd672a343344ab589ec97b3082621c22f03f4f5e

Observation 46c2e61f-b256-4ee9-a075-130e21d26150 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Classifier-Free Diffusion Guidance

Reference 8

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source=arxiv_source observed=2026-08-15T18:41:41.714780Z digest=sha256:a9ac60aad6cf3e82f407a7b0e0664e0995f364cbc5534863b8cb6662b635cdc1

Observation 510274b9-5654-4f9c-ab57-9bdee13f4a70 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Denoising Diffusion Probabilistic Models

Reference 9

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source=arxiv_source observed=2026-08-15T18:41:41.718609Z digest=sha256:14bfe892dc6ec356f289a480608ec46d11aa5fcda9334db0f4186eaa575fcf55

Observation 7e7b2e79-907a-49e4-8f72-c2a3ac0ff58b · outbound

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

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code

Reference 10

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source=arxiv_source observed=2026-08-15T18:41:41.722843Z digest=sha256:82bf7def2a3710d73c21ddd6dfec7df10c4f47a0ca5f11e05b1652bd2bded2f2

Observation c04a63ca-66fa-4cbf-adde-07e41944834c · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Microsoft COCO: Common Objects in Context

Reference 11

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source=arxiv_source observed=2026-08-15T18:41:41.727318Z digest=sha256:eabfdd79091fc6dedc20c3ca3cc6ce72dd6dc24642138c98b9357f0f9f3fa22f

Observation 85b23f8c-5df7-4012-99ae-2468a44f4c8e · outbound

This paper cites On Distillation of Guided Diffusion Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models On Distillation of Guided Diffusion Models

Reference 12

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source=arxiv_source observed=2026-08-15T18:41:41.731385Z digest=sha256:a73fb4d83b0078f50accdb9543ec1820eeca119ae025e258ddd28991dc6376fa

Observation c8c12a04-fe2e-4257-971a-a831ad1da657 · outbound

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

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models

Reference 13

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source=arxiv_source observed=2026-08-15T18:41:41.735231Z digest=sha256:74fd9e948b777715d24d20c66a497d55e7413782ce60e7e7c5a659d17c51d1c9

Observation d93fcfa2-933f-4fe0-8473-f078ce5b4a7f · outbound

This paper cites Null-text Inversion for Editing Real Images using Guided Diffusion Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Null-text Inversion for Editing Real Images using Guided Diffusion Models

Reference 14

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source=arxiv_source observed=2026-08-15T18:41:41.739206Z digest=sha256:3102cffd8344fe68379ac3440f15b1bc19d0e985c7be09e2d5a61dc2aeb80010

Observation cd5d5efa-9306-472a-a937-d652dddcbad0 · outbound

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

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Null-text inversion for editing real images using guided diffusion models

Reference 15

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raw_fallback, observed 2026-08-15T18:41:42.168390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T18:41:41.744294Z digest=sha256:800c95b4dc9f8afc6affe2ff1b772e8c6bf4ebcd935c65816dc56852cc6b3612

Observation 66f4e5ef-926f-4c2d-b615-5a67c7859498 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models DINOv2: Learning Robust Visual Features without Supervision

Reference 16

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source=arxiv_source observed=2026-08-15T18:41:41.748087Z digest=sha256:c2e90973af8964edde0f36521deac8bedcb5470a3e8fb9971abca6cd1d6e165f

Observation 69952388-c1a4-4c05-b6da-a3dc9fc3bdd3 · outbound

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

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models High-resolution image synthesis with latent diffusion models

Reference 17

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source=arxiv_source observed=2026-08-15T18:41:41.751742Z digest=sha256:0eee87b32eb819abc9c6bccacfddc18a60ce5784f759923d185d1d10491c7908

Observation 9e5e1d52-7e08-4327-b3e9-bfbd58b62e0a · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Progressive Distillation for Fast Sampling of Diffusion Models

Reference 18

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source=arxiv_source observed=2026-08-15T18:41:41.755316Z digest=sha256:708adf32682d2ed846722884b82ffb6e3eb12f018d57e221432f9ee219d0d83c

Observation e5f523b7-637d-432a-ae18-347215fd6447 · outbound

This paper cites Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models

Reference 19

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source=arxiv_source observed=2026-08-15T18:41:41.759487Z digest=sha256:d2730d342d0f0abe5800e7d55b4c7b1a4a601512379ebad833c90e52655715af

Observation 690a024a-0065-484b-b644-65adb1cdd8d7 · outbound

This paper cites Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 20

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source=arxiv_source observed=2026-08-15T18:41:41.763217Z digest=sha256:30cec29c2bf77ad6675ca9b9b07daef08fbacd142846f1d35a61dff5615e08ac

Observation 26c5c343-4566-43a0-b657-c84f73d6e8d3 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

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source=arxiv_source observed=2026-08-15T18:41:41.767051Z digest=sha256:814d7702593a67e6370985c6cb4cc72fb6765d57e6883ac250bda1e349651ba5

Observation 57c8df25-70df-4ac2-93fe-e2fab55894a8 · outbound

This paper cites Denoising Diffusion Implicit Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Denoising Diffusion Implicit Models

Reference 22

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source=arxiv_source observed=2026-08-15T18:41:41.770718Z digest=sha256:95a75f6061a2c8d7b30e588268605274083f45bacc078a7448f8ca9533318fb2

Observation a86393af-7044-4142-9638-6431ee453a35 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 23

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source=arxiv_source observed=2026-08-15T18:41:41.774548Z digest=sha256:2694b8eb8f6649bf4f7a11808536321d8940d034446911905203f053ec28d2a7

Observation e3256c87-f79b-43c0-a1a4-e05617d93f97 · outbound

This paper cites Consistency Models.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Consistency Models

Reference 24

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source=arxiv_source observed=2026-08-15T18:41:41.777969Z digest=sha256:6ba55032f852dc10fdc66449ba6970667c0bdc6a1522ebfa37cdf111bcc5b222

Observation fbed8b2c-6be1-438a-9c6a-5db700a35f82 · outbound

This paper cites Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps

Reference 25

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source=arxiv_source observed=2026-08-15T18:41:41.781956Z digest=sha256:0a5ba0beaabb7f9ded140b05f94f494592bff3a26cf2bc5efc73dd67c3bd1d9e

Observation 05862ad6-b195-42e0-88ef-d91f19d29fce · outbound

This paper cites PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing

Reference 26

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source=arxiv_source observed=2026-08-15T18:41:41.785585Z digest=sha256:b6206be66fc9e374e41dcd6a60ca61439a09400cf8f4be95591b6d8495f6c048

Observation 01b9c94c-2483-41fc-a383-2ed5792adabc · outbound

This paper cites Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing

Reference 27

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source=arxiv_source observed=2026-08-15T18:41:41.790355Z digest=sha256:92126dd3082250cf0418943ebfc0beda0256fa3fc47356c4c117a5ab523fdcdd

Observation 5935be3f-65c4-4317-bff3-49de89c49b58 · outbound

This paper cites ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

Reference 28

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source=arxiv_source observed=2026-08-15T18:41:41.793962Z digest=sha256:5a938699111f449535aec1d2268f7ac1a6625b2a83aa51c089fc6911315ff854

Observation 33cc67ce-1a93-48e4-9f70-7aa0880138ba · outbound

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

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Inversion-Free Image Editing with Natural Language

Reference 29

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source=arxiv_source observed=2026-08-15T18:41:41.797805Z digest=sha256:8c8f20fb75146a40628ce6c767063cabbe005053da809fd9be61ab1f2ab43eb3

Observation fa39c33a-049f-4052-a47c-90296543ff6c · outbound

This paper cites One-step Diffusion with Distribution Matching Distillation.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models One-step Diffusion with Distribution Matching Distillation

Reference 30

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source=arxiv_source observed=2026-08-15T18:41:41.802159Z digest=sha256:0a7d4557e143b62018e0d3bfd07447b3aff5c01ae85f1707abf53c4b17e3f95f

Observation 7a800c00-e869-4b4a-93c4-ba5ba0bdb8a9 · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 31

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source=arxiv_source observed=2026-08-15T18:41:41.805989Z digest=sha256:c4aae52730231bf393ef9ec0155a1aacd4dd1dd080d2b7325494d0aa5b96d0e5

Pith citing papers

No inbound Pith citation observations are available.