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Paper Citation Record · LEDGER

Preserve Anything: Controllable Image Synthesis with Object Preservation

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.22531.

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

pith.paper-citation-record.v1
2506.22531 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:12:49.284378Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved13
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4623ae5d-fdcc-47f0-89f4-e684e4566460 · outbound

This paper cites an unresolved cited work.

Preserve Anything: Controllable Image Synthesis with Object Preservation Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 26c3dc59-2545-43f1-a942-75acd5735e53 · outbound

This paper cites From colouring-in to pointillism: revisiting semantic segmentation supervision.

Preserve Anything: Controllable Image Synthesis with Object Preservation From colouring-in to pointillism: revisiting semantic segmentation supervision

Reference 2

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source=pdf_text observed=2026-08-06T22:12:45.510836Z digest=sha256:9e5508daa0e4d07e2229fd9f8dbef12ac4caf8f5c19ab132a4d1a619826ab4c9

Observation 5319af5c-b0f4-4b7b-ad8e-fdefd14c27a9 · outbound

This paper cites Learning photographic global tonal adjustment with a database of input / output image pairs.

Preserve Anything: Controllable Image Synthesis with Object Preservation Learning photographic global tonal adjustment with a database of input / output image pairs

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d2ac89e9-78f1-4e6d-b0f8-0c2d7bea861f · outbound

This paper cites VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing.

Preserve Anything: Controllable Image Synthesis with Object Preservation VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:45.635533Z digest=sha256:1f55599c7dc48bae592d3b4b9ee51abbfaa6c978de4ff879a63c9c8a23b2076b

Observation 7b926d3b-2598-43df-961b-74736e81825c · outbound

This paper cites an unresolved cited work.

Preserve Anything: Controllable Image Synthesis with Object Preservation Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b3c876a6-3ae9-4587-a01a-e4f1ce0ec0cd · outbound

This paper cites Blender - a 3d modelling and rendering package, 2018.

Preserve Anything: Controllable Image Synthesis with Object Preservation Blender - a 3d modelling and rendering package, 2018

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c2eb815b-96dd-46c6-a895-bdf80ebb06b9 · outbound

This paper cites Generative adversarial nets.

Preserve Anything: Controllable Image Synthesis with Object Preservation Generative adversarial nets

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 314e1520-4bcb-4d12-acf3-96662765c240 · outbound

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

Preserve Anything: Controllable Image Synthesis with Object Preservation Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 118f8871-4ffe-42fa-9c4a-6ed2b78a536f · outbound

This paper cites Cock- tail: Mixing multi-modality control for text-conditional im- age generation.

Preserve Anything: Controllable Image Synthesis with Object Preservation Cock- tail: Mixing multi-modality control for text-conditional im- age generation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:46.078206Z digest=sha256:7ea795be329efba035eec6714f1c9aa4c705dcf6b55d35d56c7928984efeccf3

Observation acd42bdd-40d7-49e5-909f-ceabb86319d2 · outbound

This paper cites Imagen 3, 2024.

Preserve Anything: Controllable Image Synthesis with Object Preservation Imagen 3, 2024

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ae7f3cc5-82af-45d9-9e73-f217074d5d94 · outbound

This paper cites Karras, S.

Preserve Anything: Controllable Image Synthesis with Object Preservation Karras, S

Reference 11

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1af5720a-ca57-454f-aec1-97ed5c82d417 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

Preserve Anything: Controllable Image Synthesis with Object Preservation Multi-concept customization of text-to-image diffusion

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e50c8e4a-4abe-4f62-b6d4-79337f82b9ca · outbound

This paper cites BLIP-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing.

Preserve Anything: Controllable Image Synthesis with Object Preservation BLIP-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4f619d09-7252-4205-9081-a79961415e32 · outbound

This paper cites Blip-2: bootstrapping language-image pre-training with frozen image encoders and large language models.

Preserve Anything: Controllable Image Synthesis with Object Preservation Blip-2: bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 587363f6-7a5d-4069-b4d3-2114ad0916a4 · outbound

This paper cites Controlnet++: Improving conditional controls with efficient consistency feedback.

Preserve Anything: Controllable Image Synthesis with Object Preservation Controlnet++: Improving conditional controls with efficient consistency feedback

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:46.559601Z digest=sha256:927872441f51f4b0a3457152360b154fc087f22e92114aee26dad5ba397d5012

Observation 3ef3725e-17ac-478b-a1ae-cc1b47b28722 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.CVPR,.

Preserve Anything: Controllable Image Synthesis with Object Preservation Gligen: Open-set grounded text-to-image generation.CVPR,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1412b969-17e3-4018-adbc-9ee9d50b70ed · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Preserve Anything: Controllable Image Synthesis with Object Preservation Microsoft COCO: Common Objects in Context

Reference 17

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Unavailable: canonical work link unavailable.

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Observation c3ea45a3-6259-4bd7-a812-94f98a1a5829 · outbound

This paper cites Structure matters: Tackling the semantic discrepancy in diffusion models for image inpainting.

Preserve Anything: Controllable Image Synthesis with Object Preservation Structure matters: Tackling the semantic discrepancy in diffusion models for image inpainting

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eaae53f9-8d3f-4838-831e-550b62af182e · outbound

This paper cites Shadow Generation for Composite Im- age Using Diffusion Model.

Preserve Anything: Controllable Image Synthesis with Object Preservation Shadow Generation for Composite Im- age Using Diffusion Model

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:46.936276Z digest=sha256:b72e08cbcf76c3b74b6dd2ea8e84bf72617ef0da268ceb3cac0b802f042b91cf

Observation d4bc9638-c1ac-477b-8fed-31fb6a55ff89 · outbound

This paper cites Decoupled weight de- cay regularization.

Preserve Anything: Controllable Image Synthesis with Object Preservation Decoupled weight de- cay regularization

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 486e32a9-0c30-455b-b938-e4a10159e1cf · outbound

This paper cites Learning a no-reference quality metric for single-image super-rolution.Computer Vision and Image Understanding, pages 1–16, 2017.

Preserve Anything: Controllable Image Synthesis with Object Preservation Learning a no-reference quality metric for single-image super-rolution.Computer Vision and Image Understanding, pages 1–16, 2017

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 812d5f52-c11a-46ee-8d2d-0fa3a0d6da14 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Preserve Anything: Controllable Image Synthesis with Object Preservation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a1c8e6a0-589a-4874-9eaa-6a1217dc6e49 · outbound

This paper cites Insertdiffusion: Identity preserving visualization of ob- jects through a training-free diffusion architecture, 2024.

Preserve Anything: Controllable Image Synthesis with Object Preservation Insertdiffusion: Identity preserving visualization of ob- jects through a training-free diffusion architecture, 2024

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ce5241a7-cac5-457b-a8df-5fb322ab28eb · outbound

This paper cites Ava: A large-scale database for aesthetic visual analysis.

Preserve Anything: Controllable Image Synthesis with Object Preservation Ava: A large-scale database for aesthetic visual analysis

Reference 24

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c90144ca-f828-48d3-b881-942af0f58e0f · outbound

This paper cites GPT-4 Technical Report.

Preserve Anything: Controllable Image Synthesis with Object Preservation GPT-4 Technical Report

Reference 25

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source=pdf_text observed=2026-08-06T22:12:47.460979Z digest=sha256:0c2848a84859613561fd6907e0c0b2de2e3259ff800dca95089af2cce588b121

Observation 86e6a408-f294-474e-ba4d-f8c10084f6b4 · outbound

This paper cites Pois- son image editing.

Preserve Anything: Controllable Image Synthesis with Object Preservation Pois- son image editing

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9df688c6-a4be-406f-a664-cd5ed8044352 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.

Preserve Anything: Controllable Image Synthesis with Object Preservation SDXL: Improving latent diffusion models for high-resolution image synthesis

Reference 27

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raw_fallback, observed 2026-08-06T22:12:54.339524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:47.608190Z digest=sha256:898c02c9f8f8ec1a613df6f75ff55f147fb2ec6776b48260cbcd3277371e3d23

Observation 6219e1cc-0395-49b7-96b2-50f7d72432d0 · outbound

This paper cites Unicontrol: A unified diffusion model for controllable visual generation in the wild.

Preserve Anything: Controllable Image Synthesis with Object Preservation Unicontrol: A unified diffusion model for controllable visual generation in the wild

Reference 28

Resolution
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raw_fallback, observed 2026-08-06T22:12:54.077795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0698c868-bfad-4f47-8c37-32c4789a7667 · outbound

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

Preserve Anything: Controllable Image Synthesis with Object Preservation Learning transferable visual models from natural language supervision

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T22:12:53.834386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:47.789296Z digest=sha256:5c45df7f6a12a366c03e0cc1c74372ebaa93e19db4aa309faa1fe177022fddea

Observation 03fd0980-4e9e-4e80-90b1-0596901e9777 · outbound

This paper cites Zero-shot text-to-image generation.

Preserve Anything: Controllable Image Synthesis with Object Preservation Zero-shot text-to-image generation

Reference 30

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raw_fallback, observed 2026-08-06T22:12:53.588653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:47.868312Z digest=sha256:1153923f66c5d9b65c30b3c52e637050a6d0e87a7e90a58d7c1fe4c166082a7e

Observation 6246925f-1488-4f77-9b1f-de1f4207b652 · outbound

This paper cites Generative ad- versarial text to image synthesis.

Preserve Anything: Controllable Image Synthesis with Object Preservation Generative ad- versarial text to image synthesis

Reference 31

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raw_fallback, observed 2026-08-06T22:12:53.349013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:47.928790Z digest=sha256:001af89e9c0f592365ca57dc582735ad94ef4ce20ee9700a81f3c7fc293ae371

Observation 7f83fcc0-a42d-448c-8cfb-3d0b8906c9c8 · outbound

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

Preserve Anything: Controllable Image Synthesis with Object Preservation High-resolution image synthesis with latent diffusion models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:53.091756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.044608Z digest=sha256:b069a9c6986b999d1de4ff8f5eceb228c5136856efac76da776fa12be5376f23

Observation 97b58df3-d3c6-4b6c-9b6b-c67560ad076b · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Preserve Anything: Controllable Image Synthesis with Object Preservation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 33

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raw_fallback, observed 2026-08-06T22:12:52.835402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.133004Z digest=sha256:2541733fdb241158ac4d9636fcc0e462fb76b62c27016e5182324704e6c9b80e

Observation 3e176b7b-7be8-4c94-864d-4869b5b61a5c · outbound

This paper cites Sara Mahdavi, Raphael Gontijo-Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi.

Preserve Anything: Controllable Image Synthesis with Object Preservation Sara Mahdavi, Raphael Gontijo-Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi

Reference 34

Resolution
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raw_fallback, observed 2026-08-06T22:12:52.589516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.207765Z digest=sha256:e16ccc0d0fda3b1b6a2bc43d8dc9a044a0d69ede6a1613b493e2857d8fa79287

Observation 743d4de8-4d79-4eec-ad3b-9a6305691c12 · outbound

This paper cites LAION-5b: An open large-scale dataset for train- ing next generation image-text models.

Preserve Anything: Controllable Image Synthesis with Object Preservation LAION-5b: An open large-scale dataset for train- ing next generation image-text models

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T22:12:52.186422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.336208Z digest=sha256:dcd83db6cae634220cf2a011dc9352151e2415c4fd1600601cb3a8b15e65ee58

Observation 567eaf76-5e5e-4dc2-98fa-a3a88ca9c829 · outbound

This paper cites Anycontrol: Create your artwork with versatile con- trol on text-to-image generation, 2024.

Preserve Anything: Controllable Image Synthesis with Object Preservation Anycontrol: Create your artwork with versatile con- trol on text-to-image generation, 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:51.795557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.426106Z digest=sha256:1db5b52ae16eac9ed9530cb9a2897513843ec3c1b32c07c47e77a6c328df45bf

Observation 925a129a-20fd-4c66-951e-c248ea2ae02c · outbound

This paper cites Going deeper with convo- lutions.

Preserve Anything: Controllable Image Synthesis with Object Preservation Going deeper with convo- lutions

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:51.491666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.493085Z digest=sha256:8e7669fe9c4cfbc14b8cf588f2e2c340e210e1eb24c7d61d464f930bb85e26af

Observation b60b0b12-a5d5-4dfc-b6fe-1441725d62aa · outbound

This paper cites Nima: Neural image assessment.IEEE Transactions on Image Processing, 27(8): 3998–4011, 2018.

Preserve Anything: Controllable Image Synthesis with Object Preservation Nima: Neural image assessment.IEEE Transactions on Image Processing, 27(8): 3998–4011, 2018

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:51.111884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.588366Z digest=sha256:8e3b0daf90fbd64f09f123d3f46090e6846c8ce4cd8689553c4cecdcab6a2f45

Observation 4f3d44cd-3e31-4c27-b1a0-bc5da798571c · outbound

This paper cites Ai-generated image quality as- sessment in visual communication.Proceedings of the AAAI Conference on Artificial Intelligence, 39(7):7392– 7400, 2025.

Preserve Anything: Controllable Image Synthesis with Object Preservation Ai-generated image quality as- sessment in visual communication.Proceedings of the AAAI Conference on Artificial Intelligence, 39(7):7392– 7400, 2025

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:50.729761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.680240Z digest=sha256:4ba7174e954fa512778e14a65cb7f5515d054340b09f825220374ae8a10488c8

Observation f4cbf1e6-ea57-4a50-a99b-1e43d3715967 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

Preserve Anything: Controllable Image Synthesis with Object Preservation Ex- ploring clip for assessing the look and feel of images

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:50.374827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.750310Z digest=sha256:bc566c338cd0302c0a5ec35d5858edc6f4efb9aa7704d18e9f03947d9ef813d0

Observation bd1a4b2d-66b8-4cb8-9b1c-7f777bb6b152 · outbound

This paper cites Holistically-nested edge detection.

Preserve Anything: Controllable Image Synthesis with Object Preservation Holistically-nested edge detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:50.237117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.814647Z digest=sha256:c3d1d2fa06cdebdf75f366c8d03295c0e1ada0d70bc497f0700196b356e0114b

Observation 0fef067b-4d4f-4aff-8c54-3ecf8c2901e2 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Preserve Anything: Controllable Image Synthesis with Object Preservation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T22:12:48.880437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:48.880437Z digest=sha256:4b82d39c961b02e2f348a7dae58eb70e1257650b0c0dc577906c022c4518e0c8

Observation 8203f3bc-134e-4327-b36f-e74036c044e1 · outbound

This paper cites Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models, 2023.

Preserve Anything: Controllable Image Synthesis with Object Preservation Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models, 2023

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:50.123046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:48.948064Z digest=sha256:3a8a39637dfdcab1ed67f3fb5f74afbea2da2d3e100a7ca31b50b24ad1ba6ba6

Observation 0ced3521-47be-4da4-98c3-31f71427ec53 · outbound

This paper cites Shadow- enlightened image outpainting.

Preserve Anything: Controllable Image Synthesis with Object Preservation Shadow- enlightened image outpainting

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:50.000460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:49.017467Z digest=sha256:7311fc64c9fe6aa0de3a7fada0aa6cb9a17eaf68acc49300f3c2c2f681cfc436

Observation 27435b10-0bc6-43c6-8871-6e4f81191b87 · outbound

This paper cites Inpaint Anything: Segment Anything Meets Image Inpainting.

Preserve Anything: Controllable Image Synthesis with Object Preservation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T22:12:49.062377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:49.062377Z digest=sha256:c0faad14026c3bae48512979495a9893e870afb4fc55701a7fc778e3ffda93b7

Observation a9b68a2f-bc61-4663-a851-9c2129bb6bdd · outbound

This paper cites Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks.

Preserve Anything: Controllable Image Synthesis with Object Preservation Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:49.829625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:49.100893Z digest=sha256:ce8f971134b38bb2df36116b6e03369cad62625d5f603a7bfb200c63dcc38791

Observation 4a873b67-2f9e-4457-9c02-5df39d2329f9 · outbound

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

Preserve Anything: Controllable Image Synthesis with Object Preservation Adding conditional control to text-to-image diffusion models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:49.720804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:49.145966Z digest=sha256:b9245694ce53b33ce6dbaba75284b2e8f1a14526c1a1947d25e266e6cbe31d84

Observation 3373301b-5aba-4872-8109-d5ada5f295dc · outbound

This paper cites an unresolved cited work.

Preserve Anything: Controllable Image Synthesis with Object Preservation Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:12:49.631341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:49.197916Z digest=sha256:fc71eafb0d6eaf8c8c260693d3f4ee54d279ca4355e91cbf304f60b6b35efb5f

Observation 9864f7a8-5aa1-498a-ab06-437937e89da5 · outbound

This paper cites Bilateral refer- ence for high-resolution dichotomous image segmentation.

Preserve Anything: Controllable Image Synthesis with Object Preservation Bilateral refer- ence for high-resolution dichotomous image segmentation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:49.504960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:12:49.284378Z digest=sha256:9ebab8d8c4abe97aaebc22f4787bfda5012c61abd0ae47880c8aa7257fcbfffa

Pith citing papers

No inbound Pith citation observations are available.