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Paper Citation Record · LEDGER

ORIDa: Object-centric Real-world Image Composition Dataset

As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2506.08964.

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

pith.paper-citation-record.v1
2506.08964 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:56.998812Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

48 of 48 outbound references displayed

  • verified exact2
  • verified fuzzy30
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3664019f-3f9c-44c2-b21e-ced3437c0627 · outbound

This paper cites Frequency domain image trans- lation: More photo-realistic, better identity-preserving.

ORIDa: Object-centric Real-world Image Composition Dataset Frequency domain image trans- lation: More photo-realistic, better identity-preserving

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 669a1e9a-343b-474c-9c38-7dca4b81f01e · outbound

This paper cites MureObjectStitch: Multi-reference Image Composition.

ORIDa: Object-centric Real-world Image Composition Dataset MureObjectStitch: Multi-reference Image Composition

Reference 2

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Unavailable: canonical work link unavailable.

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Observation b2947fab-c3fc-4d2e-b5d8-1eb792679b23 · outbound

This paper cites Anydoor: Zero-shot object-level im- age customization.

ORIDa: Object-centric Real-world Image Composition Dataset Anydoor: Zero-shot object-level im- age customization

Reference 3

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6f342bdd-fc10-4800-b3c7-3265985e13f0 · outbound

This paper cites FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior.

ORIDa: Object-centric Real-world Image Composition Dataset FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:01:56.724441Z digest=sha256:fc6b6764ff9b3e8f978ff981a715e6279644535ae3f6e7ca59015c84fbb8e0bc

Observation 56587b6a-cdc0-4822-ab0a-5033def05927 · outbound

This paper cites Dovenet: Deep image harmonization via domain verification.

ORIDa: Object-centric Real-world Image Composition Dataset Dovenet: Deep image harmonization via domain verification

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.778245Z digest=sha256:d5c3e9f5a0ae17b55669600f75d79007f4b7bff03fffa62ef07246e312cd4ac2

Observation a2b14a79-8e63-4cdb-9120-f5b5096bb473 · outbound

This paper cites Bargainnet: Background-guided domain translation for image harmonization.

ORIDa: Object-centric Real-world Image Composition Dataset Bargainnet: Background-guided domain translation for image harmonization

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f2d4a557-51ae-475f-956b-f3ae74c39684 · outbound

This paper cites Gemini pro.

ORIDa: Object-centric Real-world Image Composition Dataset Gemini pro

Reference 7

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Observation d58b0487-e2dc-44b8-9ab9-177ce0dc30f6 · outbound

This paper cites Demofusion: Democratising high- resolution image generation with no $$$.

ORIDa: Object-centric Real-world Image Composition Dataset Demofusion: Democratising high- resolution image generation with no $$$

Reference 8

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8ae5d062-a379-4045-a7e2-4f6298d9dcff · outbound

This paper cites Inpainting with diffusers.

ORIDa: Object-centric Real-world Image Composition Dataset Inpainting with diffusers

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.849730Z digest=sha256:78f45fe81d09eb932e0af4081225022d3a9556a99dc9b4e66d24790b180cf715

Observation 10201692-fcdf-4399-8463-27d60601eabf · outbound

This paper cites Guiding Instruction-based Image Editing via Multimodal Large Language Models.

ORIDa: Object-centric Real-world Image Composition Dataset Guiding Instruction-based Image Editing via Multimodal Large Language Models

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.853997Z digest=sha256:d800ad42c53ccaba18ee02594782813c88f3c6515646d1e07938357a8db2f548

Observation 353babb0-b854-44aa-a930-239413157cb3 · outbound

This paper cites Pct-net: Full resolution image harmonization using pixel-wise color transformations.

ORIDa: Object-centric Real-world Image Composition Dataset Pct-net: Full resolution image harmonization using pixel-wise color transformations

Reference 11

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:01:56.858627Z digest=sha256:0e625d34e0dbd205550ddb6e11f3427bea930caac84596aa1f0ac0d7dc1dbb2a

Observation 9b2aa981-3db0-491e-a68c-b956ef0468cd · outbound

This paper cites Denoising diffu- sion probabilistic models.

ORIDa: Object-centric Real-world Image Composition Dataset Denoising diffu- sion probabilistic models

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.862683Z digest=sha256:329663de06d5e6fb91cad2ea319cad355ce9a09f2454bbadfb8c05bab63447dd

Observation 7afd21a2-d372-46bb-8bcc-17ff0fb5b366 · outbound

This paper cites Shadow generation for composite image in real-world scenes.

ORIDa: Object-centric Real-world Image Composition Dataset Shadow generation for composite image in real-world scenes

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.866822Z digest=sha256:851c3954a00d6eee3f112340d6b1b6f7c802fa8c1bfedab17364fb26b22007d8

Observation 1b428cd0-361d-482a-ab09-c76b9f71ef57 · outbound

This paper cites Mask-shadowgan: Learning to remove shadows from unpaired data.

ORIDa: Object-centric Real-world Image Composition Dataset Mask-shadowgan: Learning to remove shadows from unpaired data

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.870859Z digest=sha256:858a96c2e7a537f0c81d860fc765e32336ea6aab737604b31cede8d23ee4a833

Observation 8c2ab0c5-f072-4536-9b43-86947ab57dc5 · outbound

This paper cites Ssh: A self-supervised framework for image harmonization.

ORIDa: Object-centric Real-world Image Composition Dataset Ssh: A self-supervised framework for image harmonization

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.874503Z digest=sha256:b06de6e4c8561a9862f02d5cf91e77797f96fe6283d764263881362ddb7ef689

Observation c4aafa97-8f3c-4c67-89ad-d0fd0e0576c3 · outbound

This paper cites Harmonizer: Learning to perform white-box image and video harmonization.

ORIDa: Object-centric Real-world Image Composition Dataset Harmonizer: Learning to perform white-box image and video harmonization

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.878131Z digest=sha256:269e896b38e4df4795147d29a4d9de5b4371027867120a4560d8217ed4bf714c

Observation 6045adf3-44da-432b-b462-ba5fe94d2e8f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ORIDa: Object-centric Real-world Image Composition Dataset Adam: A Method for Stochastic Optimization

Reference 17

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Observation 31cc90bc-7fcb-4e03-9b08-8977fd954c5e · outbound

This paper cites Geometry-preserved im- age editing.

ORIDa: Object-centric Real-world Image Composition Dataset Geometry-preserved im- age editing

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b2dc1577-60fd-4423-8829-2ebca9e6954a · outbound

This paper cites From shadow segmentation to shadow removal.

ORIDa: Object-centric Real-world Image Composition Dataset From shadow segmentation to shadow removal

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 22e39844-f083-4fc4-b06a-ce3116bf0621 · outbound

This paper cites Counterfactuals.

ORIDa: Object-centric Real-world Image Composition Dataset Counterfactuals

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ee887e4e-bef7-42a2-9162-9cfb0d87f17c · outbound

This paper cites DreamEdit: Subject-driven Image Editing.

ORIDa: Object-centric Real-world Image Composition Dataset DreamEdit: Subject-driven Image Editing

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.897314Z digest=sha256:f355cfc63f8421d46cbf0d3aef0a2f06f2f4f438d3e002603bb001435cb89a0d

Observation 310dfd8c-23f3-4bd0-baa8-cede9047065b · outbound

This paper cites Microsoft coco: Common objects in context.

ORIDa: Object-centric Real-world Image Composition Dataset Microsoft coco: Common objects in context

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.900805Z digest=sha256:6b873db2c6ced4f3300ae9a91a485b054011d592de1803f0eb7555106d1bb1f6

Observation 68c90054-d5c0-46b2-8c56-e92c81192536 · outbound

This paper cites Arshadowgan: Shadow generative adversarial network for augmented reality in sin- gle light scenes.

ORIDa: Object-centric Real-world Image Composition Dataset Arshadowgan: Shadow generative adversarial network for augmented reality in sin- gle light scenes

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T05:01:57.513916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.904501Z digest=sha256:a04691386ba76ce6ce329e9163e9d8c55207bf36d26e97f16752acf8432c1496

Observation a3f2386a-bc6a-48f3-b5e0-9e2d28a2d14e · outbound

This paper cites From shadow generation to shadow removal.

ORIDa: Object-centric Real-world Image Composition Dataset From shadow generation to shadow removal

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.908409Z digest=sha256:58c30b7a54fb69dd95e789a7b80faaa0dccc25a99078da2eafdfa1104325d52b

Observation bae6de81-5baa-4d3c-82e9-c4b3f3dbd8a0 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

ORIDa: Object-centric Real-world Image Composition Dataset SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.911686Z digest=sha256:0cd018ede7730c2e66c09ffa5e77bd17db032631afe9cc2f5cb954b6fcbad593

Observation 67c9638c-2955-459b-a03e-9664a4d59cc4 · outbound

This paper cites DreamCom: Finetuning Text-guided Inpainting Model for Image Composition.

ORIDa: Object-centric Real-world Image Composition Dataset DreamCom: Finetuning Text-guided Inpainting Model for Image Composition

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.915248Z digest=sha256:2f9a468a9103417c18333dbcbc0d11d4bea7ad166d3025cdde36e23d9519e6c5

Observation 0f7426c4-e3b3-4d39-a99c-d844b5c3f71c · outbound

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

ORIDa: Object-centric Real-world Image Composition Dataset Tf-icon: Diffusion-based training-free cross-domain image composi- tion

Reference 27

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raw_fallback, observed 2026-08-07T05:01:57.478532Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 76d74a16-9d43-4c00-b20e-b1424814a8e3 · outbound

This paper cites Hello gpt-4o.

ORIDa: Object-centric Real-world Image Composition Dataset Hello gpt-4o

Reference 28

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 30bd6309-43fb-4cac-b1a8-7983d311a34e · outbound

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

ORIDa: Object-centric Real-world Image Composition Dataset Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 29

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raw_fallback, observed 2026-08-07T05:01:57.448930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.926546Z digest=sha256:92a36dab03b4852608f313a110ed20ca045a4f1dc341307adea139dc32d3345c

Observation e5405ea7-d2a3-47ef-99d0-63c68e413134 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

ORIDa: Object-centric Real-world Image Composition Dataset SAM 2: Segment Anything in Images and Videos

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.930301Z digest=sha256:79697a0116c540c3f7b218e2315bcfb71ab6a2483d9472237a1bb796ca00b806

Observation 51f4b28e-04f3-4366-9585-dab91efb62cb · outbound

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

ORIDa: Object-centric Real-world Image Composition Dataset High-resolution image synthesis with latent diffusion models

Reference 31

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raw_fallback, observed 2026-08-07T05:01:57.430762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d5ca4c86-c2e3-450e-85aa-5bff2ea6947d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

ORIDa: Object-centric Real-world Image Composition Dataset U-net: Convolutional networks for biomedical image segmentation

Reference 32

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raw_fallback, observed 2026-08-07T05:01:57.414326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.937695Z digest=sha256:a57160f7ce6c1650178f6da6b1cb59e018bfe250d5630793638a20d634b86538

Observation ba11a574-f776-4110-8d5d-a9be3aefa671 · outbound

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

ORIDa: Object-centric Real-world Image Composition Dataset Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 33

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raw_fallback, observed 2026-08-07T05:01:57.392273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.941468Z digest=sha256:edec9f180a7520f872affc86a6c287491f14fc0ab84afb5074745875d76edc8f

Observation 4b602e5d-5348-4917-a804-72717eaf9f48 · outbound

This paper cites GeoDiffuser: Geometry-Based Image Editing with Diffusion Models.

ORIDa: Object-centric Real-world Image Composition Dataset GeoDiffuser: Geometry-Based Image Editing with Diffusion Models

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.945089Z digest=sha256:4589e86f770f7105bec065344a441bf4ece47f0525e090185c0e8c428c22693d

Observation b42086ae-e17f-42a3-8376-a35e3d3fb520 · outbound

This paper cites Collage diffusion.

ORIDa: Object-centric Real-world Image Composition Dataset Collage diffusion

Reference 35

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raw_fallback, observed 2026-08-07T05:01:57.374155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:01:56.949119Z digest=sha256:312957c88db9f5b457077b08415ff39f177b07aa21f5deba5a19dd6fca399eec

Observation 403a0876-6741-4b07-8e8d-d8a12b3362e3 · outbound

This paper cites Denois- ing diffusion implicit models.

ORIDa: Object-centric Real-world Image Composition Dataset Denois- ing diffusion implicit models

Reference 36

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no resolver link, observed 2026-08-07T05:01:56.952872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0dce969f-a0e7-49e7-b8bd-7ad92fb01eca · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

ORIDa: Object-centric Real-world Image Composition Dataset Score-based generative modeling through stochastic differential equa- tions

Reference 37

Resolution
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no resolver link, observed 2026-08-07T05:01:56.956423Z

Source-reported events for the cited work

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Observation b532b1fc-4723-478a-bf83-c70c517a2f63 · outbound

This paper cites Object- stitch: Object compositing with diffusion model.

ORIDa: Object-centric Real-world Image Composition Dataset Object- stitch: Object compositing with diffusion model

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.324057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ee7b6860-d2bf-4541-97f6-aa6c821e3460 · outbound

This paper cites Imprint: Generative object compositing by learning identity-preserving representation.

ORIDa: Object-centric Real-world Image Composition Dataset Imprint: Generative object compositing by learning identity-preserving representation

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.308215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 837a0366-b97d-4fc8-b547-18ddf33ca212 · outbound

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

ORIDa: Object-centric Real-world Image Composition Dataset Resolution-robust large mask inpainting with fourier convolutions

Reference 40

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d8532444-50d4-405a-9d3c-5f2e64af6f21 · outbound

This paper cites Stacked condi- tional generative adversarial networks for jointly learning shadow detection and shadow removal.

ORIDa: Object-centric Real-world Image Composition Dataset Stacked condi- tional generative adversarial networks for jointly learning shadow detection and shadow removal

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.269034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 94d20c61-c43c-4824-a7f7-8630afc053ae · outbound

This paper cites Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors.

ORIDa: Object-centric Real-world Image Composition Dataset Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:01:57.086143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 38d5371f-503c-4502-96db-a348d76dedd5 · outbound

This paper cites ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion.

ORIDa: Object-centric Real-world Image Composition Dataset ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.978824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 18af2b35-619a-4d70-af34-1f3dfac2dc6e · outbound

This paper cites Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm.

ORIDa: Object-centric Real-world Image Composition Dataset Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:01:57.054960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 323b3adb-c8c9-4e5e-85be-ca07befe6131 · outbound

This paper cites Dccf: Deep comprehensible color fil- ter learning framework for high-resolution image harmoniza- tion.

ORIDa: Object-centric Real-world Image Composition Dataset Dccf: Deep comprehensible color fil- ter learning framework for high-resolution image harmoniza- tion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.249707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cf11ccc1-0c1a-449e-bc71-2a8f5c16bc32 · outbound

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

ORIDa: Object-centric Real-world Image Composition Dataset Paint by example: Exemplar-based image editing with diffusion mod- els

Reference 46

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unresolved
no resolver link, observed 2026-08-07T05:01:56.991104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2d68ac11-f47b-4b4e-bcb2-bc466f733777 · outbound

This paper cites Image sculpting: Precise ob- ject editing with 3d geometry control.

ORIDa: Object-centric Real-world Image Composition Dataset Image sculpting: Precise ob- ject editing with 3d geometry control

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.225945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dd6a038f-b888-4d4d-93d6-7dcb00ff4ce3 · outbound

This paper cites ControlCom: Controllable Image Composition using Diffusion Model.

ORIDa: Object-centric Real-world Image Composition Dataset ControlCom: Controllable Image Composition using Diffusion Model

Reference 48

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unresolved
no resolver link, observed 2026-08-07T05:01:56.998812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.998812Z digest=sha256:9bb7646b4493aa31230dbcb94c7c38bf7b6a63413fd052d43631b90b79bc3f75

Pith citing papers

No inbound Pith citation observations are available.