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Paper Citation Record · LEDGER

ORIDa: Object-centric Real-world Image Composition Dataset

As of 8 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 2026-08-08T06:32:00.761636+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

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 2026-08-08T06:32:00.761636+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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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 2026-08-08T06:32:00.761636+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=sha256:89e9b19b3bac64d1814d2040400201a3777dd0d42ef79a293da4b0b269fb4c96

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

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source=pdf_text observed=2026-08-07T05:01:56.778245Z digest=sha256:e36285e638a0d620e92ef27c9ba98c85d5bb57d64d710c7b973f2990319dcd41

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.843267Z digest=sha256:2cbf0c1edab1a91a6530ed662517f1dd1744ef6fd474f4d9af9fded03eb18a40

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.846365Z digest=sha256:f39a51a4b8dfddbc3faa9a9b1218db4c583fd2c6d1bf9fba7fe6641686104107

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.849730Z digest=sha256:478d3832d21fd6d6edb4d9647c6af975a9d211e0e8ccb0b1b605a236b19d204d

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:f66e8bdff3c121bf3eea8f4a2ff56ff2a3ad55d8d2124e245111c0c40ae03710

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:a5e27e6989ad2b8c5da1435516fd86b932ea2b431e5ed9ef56c2937e648bfaa1

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:b6fffdc2a437773824adec92cd6f88c46ca886ac9612635053e13ec30bfee800

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.866822Z digest=sha256:1a2604070f3ea952eced4fbc0b39daac4ce895a3c89f772347f721b7ea12789b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.870859Z digest=sha256:0c66662b9d0ece5ae889e5351fbe98c9078da0b11d474da9350fd02cc72affe6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.874503Z digest=sha256:0773fedfd30051d1e3a0490e56a8b9e48b6cd4e9bc753370322b7701d213faca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.878131Z digest=sha256:873667e70e64092a35f41ce754edf0457eadb61735c0323e1cc454a11372b25d

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.881929Z digest=sha256:608b716cf8474fad47e4f23f991222e99645e10c5829ed8d48ff7bea5e7e85b4

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.890039Z digest=sha256:baba63c4d1ce37169848384492caf143fdd1d7c2aaf642454a66591f4cb93722

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.893994Z digest=sha256:86798be39f417d33ee1a6ea61f1d773bac1ce7c4107cc01ca9267d63a6fe5f81

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.897314Z digest=sha256:a0917b1e51ceee8913565ab24e557d0227c15045bcb28d3e8e76590e7f12d1d0

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 2026-08-08T06:32:00.761636+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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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=2026-08-07T05:01:56.904501Z digest=sha256:b0efaf0a2cd3609fe067fb680800050eeb50612990a1ed1410b908bcf73910ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.908409Z digest=sha256:d6fd482b7bffac5a3a1c07dd3642ec22ccf56d0c5c1ef1f01b58345f072c9cd7

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=sha256:272ab5384ef9f9b4bd26e8688a5f2e98fd59642126d5a6bf2ae717a0e81948e3

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:fbb90ff560404252c8a93a39345cb159bb6c874f495f7be0c05e9fcfbd648267

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.918654Z digest=sha256:33dd41fe1de0ee8c0c27eed51ff7113ff7f7372ed6f43e8784821e7d48bc2026

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.926546Z digest=sha256:d00407f7095751c5d81338d53e05b9e6d9698ecc58a442759ff03ba8d9f4b0db

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:d829a070dc5e8a5f139005879fcd8b592243230d2afbb2325955ae860b8e402a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.933951Z digest=sha256:b89ce653cb62f2d3bc08577c61bc21935d6bac339ee392c7f78d1f7cf78bf0ec

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.937695Z digest=sha256:37fac26cbb5d4b723eb790508e7a9d7bd7eca7e30e53826f8ad312dafbd71071

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.941468Z digest=sha256:ccf6957fe6cec7fb0fa4844aa778c03c26c99cf0f788e55d7a7b3209a4934a73

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=sha256:145e2c3a28b5889397e746f118f5ebd9c3b9f1afd76d565249fe3fc63661c118

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.949119Z digest=sha256:43775a76377fc8a58e29081316152f3da79053bef07ec1a584325996199dda46

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.956423Z digest=sha256:0abd7846688353e03b93d2cb8284f23b945b1c143ab3954f383affab24f63b28

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 2026-08-08T06:32:00.761636+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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.963807Z digest=sha256:d7f3e3f39d6208a66e449f6cad1a9b6a81a5e08c786baf1c32d523287bf706f3

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

Resolution
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.971338Z digest=sha256:cf638936317ddc047f16540b7c0cc80b6a4216e6d846e88025842f70d9302a44

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.974947Z digest=sha256:1f0ed912863495db5aed4a839174c812c78dffd3a248934714be652528117c36

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=sha256:1fb0ff68b18e75619342e43ac5dd9bbeda9678bc9be5722b06d6811d176ae341

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.983121Z digest=sha256:5eea24992f4a04fb1d13878527e49d597dba36e4c57176bdc719172e297b7c6e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.987353Z digest=sha256:8b61bae4938a3d614f64f643b0adb8a4f2d26cd8a852f6bbc2996c8a76eda17c

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:a88c6637bbde85ae2da74acdb5f7e1a443dfa1d065209ef5751b1ef492bb8c88

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:01:56.995288Z digest=sha256:1f35ace114aa496c9900567896089ed004da670e519bc7a5332cfa774c4c42e6

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

Resolution
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=sha256:7e4567dcadc8e5747351e36feea96988555df020c5ef4e71c6c7d3408c25c312

Pith citing papers

No inbound Pith citation observations are available.