Paper Citation Record · LEDGER

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.06146.

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

pith.paper-citation-record.v1
2507.06146 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:16:38.088573Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

43 of 43 outbound references displayed

verified exact1
verified fuzzy25
unresolved17
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf36f604-3e4f-49e5-80ce-51105fe3f780 · outbound

This paper cites Data Augmentation Generative Adversarial Networks.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Data Augmentation Generative Adversarial Networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.019280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f781c8-4660-4530-9b4b-0cabbd2b8b15 · outbound

This paper cites Obtaining favorable layouts for multiple object generation, 2024.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Obtaining favorable layouts for multiple object generation, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:40.135980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0976089c-2ecc-4fcb-a29a-1468a37a27d5 · outbound

This paper cites Make it count: Text-to-image generation with an accurate number of objects, 2024.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Make it count: Text-to-image generation with an accurate number of objects, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:39.971255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2af894a3-23f0-4dfa-9815-15c14051ba79 · outbound

This paper cites Adapt anything: Tailor any image classifiers across domains and categories using text-to-image diffusion models, 2023.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Adapt anything: Tailor any image classifiers across domains and categories using text-to-image diffusion models, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:39.892149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4806c5cf-9021-4bf0-8d83-3ad64b1cf96b · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Imagenet: A large-scale hierarchical image database

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:39.730449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4f3e868-e4fc-4045-8381-5b0e1f83deed · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.342611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87ecc645-45f5-4a11-bbef-a20d0cf56bf8 · outbound

This paper cites Bermano, Gal Chechik, and Daniel Cohen-Or.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Bermano, Gal Chechik, and Daniel Cohen-Or

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.376411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddc4efa9-0c80-4dee-bfe4-2b74db34b5bd · outbound

This paper cites Deep residual learning for image recognition.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Deep residual learning for image recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.440201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe215d4-a042-4e6b-9b4c-53e48715ce9c · outbound

This paper cites Mask r-cnn.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Mask r-cnn

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:39.576214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffb161e3-fadd-47c6-8d4e-2600f08377f5 · outbound

This paper cites Is synthetic data from generative models ready for image recognition? In The Eleventh International Conference on Learning Representations , 2023.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Is synthetic data from generative models ready for image recognition? In The Eleventh International Conference on Learning Representations , 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:39.443950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fdfec877-80c3-458e-80e3-9c1e12bc825a · outbound

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

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.571375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e28fd71b-7dd4-4348-8d15-01a9e2d45943 · outbound

This paper cites Classifier-free diffusion guidance, 2022.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Classifier-free diffusion guidance, 2022

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.632521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 186ef9c8-3090-4c9d-bbb1-ddd01f7d1ef7 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.676150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a11515f-bdc0-496a-bb4c-630983465760 · outbound

This paper cites Ultralytics YOLOv8.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Ultralytics YOLOv8

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:39.240776Z

Source-reported events for the cited work

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Observation 194804ac-7b07-4a34-9f7f-207be5f16d4f · outbound

This paper cites Segment anything.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Segment anything

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:39.046462Z

Source-reported events for the cited work

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Observation bbd8ae3a-e31b-4824-8f08-362c68bb848c · outbound

This paper cites Controlnet++: Improving conditional controls with efficient consistency feedback, 2024.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Controlnet++: Improving conditional controls with efficient consistency feedback, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.820443Z

Source-reported events for the cited work

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Observation 5d5df59f-d30a-486a-831f-6289d4997aa0 · outbound

This paper cites Microsoft coco: Common objects in context.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Microsoft coco: Common objects in context

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.848386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6db87aa-34f0-4f75-bad5-a87e5ed87110 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection, 2024.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Grounding dino: Marrying dino with grounded pre-training for open-set object detection, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.914171Z

Source-reported events for the cited work

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Observation b0d47097-7fb2-488f-9e48-e879f12ab77c · outbound

This paper cites Decoupled weight decay regularization, 2019.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Decoupled weight decay regularization, 2019

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:36.949926Z

Source-reported events for the cited work

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Observation 79033fd6-6ea1-4996-b8d2-b04ade3520b5 · outbound

This paper cites Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.710533Z

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Observation 14f1f403-259d-4da2-a8df-a3f27399841a · outbound

This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:37.079348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e905184-5898-4a21-9718-1f21f29614ef · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:37.122870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a889dca-f12a-41d9-aba8-c1a91319d157 · outbound

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

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Learning transferable visual models from natural language supervision

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:37.167884Z

Source-reported events for the cited work

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Observation 48f87b87-053e-4165-a1f7-1985cec04fe3 · outbound

This paper cites Hierarchical text-conditional image generation with clip latents, 2022.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Hierarchical text-conditional image generation with clip latents, 2022

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:37.208792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f7b2693-8160-46ba-b9cb-bc15b0d0bdc7 · outbound

This paper cites Sam 2: Segment anything in images and videos, 2024.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Sam 2: Segment anything in images and videos, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:37.284582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 663c209b-99a0-4ce4-8ff9-1025efb288ac · outbound

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

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation High-resolution image synthesis with latent diffusion models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:37.321807Z

Source-reported events for the cited work

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Observation d7949e64-801b-442f-b7a2-6f15c2080709 · outbound

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

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.530722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fb3655e5-3d25-4a02-b0b1-c883cdc54474 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Photorealistic text-to-image diffusion models with deep language understanding

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.387709Z

Source-reported events for the cited work

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Observation ca5a6eed-ca2a-48e9-9021-0c5773346922 · outbound

This paper cites Gen2det: Generate to detect.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Gen2det: Generate to detect

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.270253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45988ab6-0861-46e8-b515-a1dd5067b1b6 · outbound

This paper cites Instancediffusion: Instance-level control for image generation.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Instancediffusion: Instance-level control for image generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.248889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 494ede43-caab-405a-b045-99438d1275e4 · outbound

This paper cites Improving compositional text-to-image generation with large vision-language models, 2023.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Improving compositional text-to-image generation with large vision-language models, 2023

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.238110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16f40fb1-ca0d-4d9a-870a-73ceadfec5b8 · outbound

This paper cites Paragraph-to-image generation with information-enriched diffusion model, 2023.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Paragraph-to-image generation with information-enriched diffusion model, 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.229495Z

Source-reported events for the cited work

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Observation bc431b7c-fd4f-4233-9dbf-2db8bf9ae083 · outbound

This paper cites Datasetdm: Synthesizing data with perception annotations using diffusion models.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Datasetdm: Synthesizing data with perception annotations using diffusion models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.221732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b95f772-4d6e-491f-81b6-0492a8133a97 · outbound

This paper cites Mosaicfusion: Diffusion models as data augmenters for large vocabulary instance segmentation, 2023.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Mosaicfusion: Diffusion models as data augmenters for large vocabulary instance segmentation, 2023

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.214024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce922187-00a1-447f-9cae-7abce2e91092 · outbound

This paper cites Versatile diffusion: Text, images and variations all in one diffusion model.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Versatile diffusion: Text, images and variations all in one diffusion model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.205698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ae8bb58-2d7f-4ed4-84d7-3f17f3590b20 · outbound

This paper cites Prompt-free diffusion: Taking" text" out of text-to-image diffusion models.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Prompt-free diffusion: Taking" text" out of text-to-image diffusion models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.197634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2aba189-2082-4d7e-8ce7-b53f8e40984d · outbound

This paper cites Add-SD: Rational Generation without Manual Reference.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Add-SD: Rational Generation without Manual Reference

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:16:38.120368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ccd65af-95ef-4b8f-a0ee-b1dcdb451b77 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation The unreasonable effectiveness of deep features as a perceptual metric

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.188801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ed0d089-2b3d-487c-bea5-e7ed0827e16d · outbound

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

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Adding conditional control to text-to-image diffusion models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.180292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d816aaa0-b816-4001-8aa7-49e4be87a4d8 · outbound

This paper cites X-paste: Revisiting scalable copy-paste for instance segmentation using clip and stablediffusion.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation X-paste: Revisiting scalable copy-paste for instance segmentation using clip and stablediffusion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.171445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 861abdd1-3ea5-48ff-a7af-8161c13f3faf · outbound

This paper cites Rethinking the inception architecture for computer vision.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Rethinking the inception architecture for computer vision

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.163219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 651f9534-831d-42b9-b390-b34ff9d75e2d · outbound

This paper cites Zone evaluation: Revealing spatial bias in object detection.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation Zone evaluation: Revealing spatial bias in object detection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:38.154623Z

Source-reported events for the cited work

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Observation 2fc67586-ce14-4708-9b13-2e9e6c99d6df · outbound

This paper cites write newline.

Prompt-Free Conditional Diffusion for Multi-object Image Augmentation write newline

Reference 43

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