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Paper Citation Record · LEDGER

ORIDa: Object-centric Real-world Image Composition Dataset

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

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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 2026-08-07T06:34:17.273281+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=pdf_text observed=2026-08-07T05:01:56.724441Z digest=sha256:7b81fd6888a9a0ee5395ee73b28486f2c425a39f73d8bae724e0297bc19693e6

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.843267Z digest=sha256:47cac8be136b6c8ed6aa27c5fc84154f5f52d58bf3f513612da6c9f8d44620e0

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.846365Z digest=sha256:8324c40bdcbc78b4683dbebd8d56bd3eb1f6e6ef5096f255beb4bd7fb43d85f5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.849730Z digest=sha256:e68e0cc51fdbc2c15e344818e7a25a42adb6e045e5972916cdb63c853328af71

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=sha256:29844f3ce50e5feff5f22bef7696cdc37146da9866591a1dd7b9d34b4d1f5071

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:ef15b86385f4461f1b1335ff8365e019469c543c97a7d0fd050d1012a0ab0379

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.862683Z digest=sha256:f3039b0c573973494d34e620f0e7aec25c355bf6887ad6278aba7cd3f7cabec7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.866822Z digest=sha256:62dc35f198e19a420415de586011ab1d0af10da04094c929ef07e2fc761217b2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.870859Z digest=sha256:45e7f1f285e613f6f3345fffe5de51128771b65d431f53364b75c5b1efc17650

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.874503Z digest=sha256:adeaad99b455862ac7800c2280073de10540e6572d842db254b8f02cd69c7349

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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raw_fallback, observed 2026-08-07T05:01:57.578156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.878131Z digest=sha256:214413d85ed481281568e787b860c6bd6ec4df237463b1ab54994a693617b092

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.881929Z digest=sha256:df8f0af9dc1e4bb535cd08a038f26f3f6081b8deb6df27cabd6cb704bd2a6c6a

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.890039Z digest=sha256:fce8924f5faf6cdabd2d32542347c89157159b90c4364f16e4e8423e30fc5f83

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.893994Z digest=sha256:f4d5710b05df53b96f4f79db41f07a19f7abf36acfbee18f450cbbd2d00d455f

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=sha256:03102d05492349366558fec4e78fb981d93e68a66d301091bf4d425cf84ce811

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 2026-08-07T06:34:17.273281+00:00.

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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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.904501Z digest=sha256:c2a45db291199a7acaf9fef4065166f2baf370b5f4c0d3719240ed170abe8f71

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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=sha256:6c7ab4160842f4a7b6663c02e9a33172a3a777033489ef45fe0af1d914d0614a

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=sha256:598ce85a05f8cad735fb117901dfeb1dd454f50e8aff2adaa10f4bd5007f9194

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.918654Z digest=sha256:3b4ab3e644d3e107b8f3db6c67d2ca3b1f82df18d4ab2c022d04c26ce3df2ce6

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.926546Z digest=sha256:203da9126ba9ba6b00b2275ec659d7b49ca37f86a14c35acd0ac76e93f9f6555

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=sha256:65936102f111180fa6ff5f9542920fa9574708f6f037ff0306dbeb31d201ec02

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.933951Z digest=sha256:bc1679f581fa70d1a8f2e588b9567457bc2ab798275e330df9ebec34d6a9d839

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.937695Z digest=sha256:b4766ec42c595736e283ef6456db90a01f019ebeff9796a5dae23ca2592ad157

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.941468Z digest=sha256:8527fdc64f7b3f3683c3286cd4d390caf84f84f21bd3a90d8f913ad0d74c1059

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=sha256:10b872b71f8cb7b7e25d6b78ec56d34139f70efe49064d680d5b773421965201

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

This paper cites Collage diffusion.

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

Reference 35

Resolution
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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:01:56.949119Z digest=sha256:8d8f68eba45a1fa1e7efc4e91c554c53cde9aefad434b9d5f8f95c81d14474ef

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

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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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
raw_fallback, observed 2026-08-07T05:01:57.294332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.

source=pdf_text observed=2026-08-07T05:01:56.978824Z digest=sha256:d4aef4aca0ec696bc95f0999b86c942a586a2d8d0e4453124e24019acb21628d

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.991104Z digest=sha256:04757ca590fa436da5940bf372a4a42ce188d40a77c0aead3467c64282852f0c

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 2026-08-07T06:34:17.273281+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=sha256:1943cffbcbf6dedbf93f3e48fec5292c91dcc648d521452cea57debcee128733

Pith citing papers

No inbound Pith citation observations are available.