Pith. sign in

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.724196Z

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=2026-08-07T05:01:56.397117Z digest=sha256:3ad4982829ddeeadf8486170d7c129163f5a1b9087cb90640d7e7c00bb5b2499

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.442873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.442873Z digest=sha256:9efa24861e30323855bc9abca668cdfdb9c35fe6034c4a3569930ea338d742cd

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.711163Z

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=2026-08-07T05:01:56.595407Z digest=sha256:a5d1b1fa64b362152707c0121a20da9071cfb58e21c693146c43318e670549c8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.724441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.697828Z

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=2026-08-07T05:01:56.778245Z digest=sha256:e37aa52328f838107b6e791eada561b4507f8a2a45357fa3b5e0485a3ebff295

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.681967Z

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=2026-08-07T05:01:56.839342Z digest=sha256:b035e610e01d83859115aeb41118d15c631275813f44686d58854546f2bc69f2

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

This paper cites Gemini pro.

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

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.668502Z

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=sha256:952beabfb76fac245cacd817e4a580306297db17cc519ff7dfd7b02ad3baf1f1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.655769Z

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:a1d47e9ddb5a0af4a283602658bb2c570e3feb18e692ca0b3a67280abe422d47

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.642627Z

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:d91d8c09701ca1295d8d0826dd6e3a1ffef0919b95c4f67d601fe07bed90112b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.853997Z

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.858627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.862683Z

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.614465Z

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=sha256:4d8301151c5362d2f25e4ed1f5c4e246857af82be1c16989d6981a02103ae68a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.601488Z

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=sha256:387a9d32d03f49a1ece3a9ec7345492dc40ba04564894f08ee3f3beffaedfe0f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.589808Z

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:a8919da079716f74aedb7c023624341f0e8672842b603592219f93d285965d85

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

Resolution
verified fuzzy
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=sha256:3c67fe0dae6183ba0e439b07173294d598b3731e32fd55f37d35c5ecc3d1b6b8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.881929Z

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.565365Z

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=2026-08-07T05:01:56.886284Z digest=sha256:e6dd3dc00f3eb6324944e6c6ebafeab823a44bfecbbb98978052f0e65041be26

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.553219Z

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:f4cbc03cf1e42a129c171143db88b45f9cfb1e2c8944acda5be768ed6313b639

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

This paper cites Counterfactuals.

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

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.540507Z

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:e70cdcf7eda29ab69d29d5ca0c65043c7a0e30563c3c42251784ed1e668ecb51

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.897314Z

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.527242Z

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=2026-08-07T05:01:56.900805Z digest=sha256:25d0dc682f2da0ac741743d069ebfa21540e24afe49c336ef745fd4ffc0bbde7

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
verified fuzzy
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:b73ca87fe67d1b1600bdd72f319638b4213fa3ff7232e47ef87a479caa29cf08

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.497225Z

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=2026-08-07T05:01:56.908409Z digest=sha256:8a4a38111cba652caa1a4785a47a79f0fbb780c0ebfc7251deb3b0cd6489b53a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.911686Z

Source-reported events for the cited work

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.915248Z

Source-reported events for the cited work

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

Resolution
verified fuzzy
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=sha256:5bb649a2cfbd494347e659607b0f5421a37c7270ebd49b82a5082809737402d1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:57.464076Z

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=2026-08-07T05:01:56.922547Z digest=sha256:85f76965be832d5e39058e984fbd2d97193f9ff32cd2a3b024af7dcb89e0a2b0

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

Resolution
verified fuzzy
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=sha256:05254ce43374abd16f219a7892b9288ca06183a710524b7d6f8ebae8efc36b64

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.930301Z

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

Resolution
verified fuzzy
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=sha256:417d62f8a8fbb6fd64171fc51f0d79d6c6523e112bec66d3ebc3e09849ae1d92

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

Resolution
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=sha256:7a033920a927ab341cac822c39912a91778f50658ecb400abcf9396638dba0bc

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

Resolution
verified fuzzy
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=sha256:15b48056bc2a9cb70d9645e0983c89934117f7c5cb35676e6dd3d4563943b2f8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:56.945089Z

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

Resolution
verified fuzzy
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=sha256:2bcb39a4673f089852fd996f4cc10745ced215d899ecd7b1f2106fe6a2225973

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:56.952872Z digest=sha256:280cd62a4bc5c0acdf0ffd9c0286a0a8912c4876b93bf4f57b1ffb52707a0436

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

source=pdf_text observed=2026-08-07T05:01:56.960229Z digest=sha256:ab56f6067a1bd900e078b07bfc154c2213b61fa3a3c62bf38c4110c55910e87a

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

source=pdf_text observed=2026-08-07T05:01:56.963807Z digest=sha256:cb954751a3551d94afbe151d720a360a7ccea905f7254d06c81aa0b4c61df75b

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

source=pdf_text observed=2026-08-07T05:01:56.967415Z digest=sha256:987e8a0db9bc1c9943ef0f1f115a0b11228fb8972a3cec98915cca0df9b0a867

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.

source=pdf_text observed=2026-08-07T05:01:56.971338Z digest=sha256:b83023d7687b1e53e8d8e5af5d21bf5c93d3004de5e3c1eecace43db3bb98f16

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.

source=pdf_text observed=2026-08-07T05:01:56.974947Z digest=sha256:323c68ad478ffa6eece97ff359d16bbfec203cb7b09b6fbdb66f3b5077b212d1

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

source=pdf_text observed=2026-08-07T05:01:56.983121Z digest=sha256:009a61f1d9c6f2abcedceca9064e25e14bfb89bbb712adeb30571ccbeb4cba12

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.

source=pdf_text observed=2026-08-07T05:01:56.987353Z digest=sha256:e95e2d4295298597a068bd07f21f71e78601aff36a3b584dd4f96aa8e4d2cf97

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

source=pdf_text observed=2026-08-07T05:01:56.995288Z digest=sha256:242780055bfa68557701c90080a41ca020805d19eb489b4c9a44a488c7483bde

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.