Paper Citation Record · LEDGER

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2508.21712.

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

pith.paper-citation-record.v1
2508.21712 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:04:31.246532Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

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verified fuzzy27
unresolved14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 866d6f22-691a-496f-992e-4931341e1edd · outbound

This paper cites GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfca72e9-737d-4866-b71c-4f71b8080530 · outbound

This paper cites Effectively unbiased fid and inception score and where to find them.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Effectively unbiased fid and inception score and where to find them

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:36.170642Z

Source-reported events for the cited work

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Observation 767fe1b2-c929-44e7-b3bd-693441898341 · outbound

This paper cites Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 3

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Source-reported events for the cited work

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Observation a751fb1a-0df9-4738-b595-d3511742824c · outbound

This paper cites Comfyui: The most powerful and mod- ular visual ai engine and application.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Comfyui: The most powerful and mod- ular visual ai engine and application

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:36.160899Z

Source-reported events for the cited work

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Observation fd464343-3192-4be9-b388-285c3620123a · outbound

This paper cites The impact of domain randomization on object detection: A case study on parametric shapes and synthetic textures.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA The impact of domain randomization on object detection: A case study on parametric shapes and synthetic textures

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:36.149294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d7fdbe6-f9c7-499b-b27d-6494211a12ec · outbound

This paper cites Imagenet: a large-scale hierarchical image database, 2009.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Imagenet: a large-scale hierarchical image database, 2009

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:36.073018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f8c3d96-0f9f-42e2-80e3-69254e7b05f9 · outbound

This paper cites Llm.int8(): 8-bit matrix multiplication for transformers at scale.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Llm.int8(): 8-bit matrix multiplication for transformers at scale

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:35.776580Z

Source-reported events for the cited work

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Observation 9dfa093d-2316-45d6-8866-7186ce086e45 · outbound

This paper cites Understanding how image quality affects deep neural networks.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Understanding how image quality affects deep neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:35.517265Z

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Observation e944e03f-1509-4d8f-b28e-356020838860 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 9

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Source-reported events for the cited work

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Observation c7c7e22b-a304-49b2-ae39-a9602ad8d59d · outbound

This paper cites Cubuk, Quoc V.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Cubuk, Quoc V

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:35.306832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78045c46-b181-4134-b6f8-c2f2e283283e · outbound

This paper cites an unresolved cited work.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation 87a98477-2e58-4474-b996-29f5a17406c0 · outbound

This paper cites Parameter-efficient fine-tuning for large models: A comprehensive survey.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Parameter-efficient fine-tuning for large models: A comprehensive survey

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:34.769617Z

Source-reported events for the cited work

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Observation 5e884373-cd24-4350-a53c-e3260e9c3c4b · outbound

This paper cites Deep residual learning for image recognition.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Deep residual learning for image recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:34.646881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 79732d5d-4b18-4138-8045-aa8c793104d2 · outbound

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

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:34.409330Z

Source-reported events for the cited work

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Observation f41e1ac0-0f98-43f4-ab3f-7b5bb2e007a2 · outbound

This paper cites Classifier-free diffusion guidance.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Classifier-free diffusion guidance

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:34.298726Z

Source-reported events for the cited work

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Observation 6fbd6f26-6cd7-4a24-997c-a05c35488239 · outbound

This paper cites Denoising diffu- sion probabilistic models.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Denoising diffu- sion probabilistic models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:34.157324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 67ac5a0b-ce50-4751-8be7-b1086b9ddc52 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

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Observation 58be4207-f5c1-4906-a8a1-63f14b2708a6 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Elucidating the design space of diffusion-based generative models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:34.013378Z

Source-reported events for the cited work

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Observation af9f1df6-46b4-4633-ac94-7a755954676e · outbound

This paper cites Flux.1 kontext: Flow matching for in-context image generation and editing in latent space, 2025.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Flux.1 kontext: Flow matching for in-context image generation and editing in latent space, 2025

Reference 19

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Source-reported events for the cited work

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Observation c8cc6c5f-9534-44a7-8976-ee3b1da9362b · outbound

This paper cites Sustechgan: image generation for object detection in adverse conditions of autonomous driving.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Sustechgan: image generation for object detection in adverse conditions of autonomous driving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:33.705752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 27a57736-a11b-4670-ab4c-f4e739e444c2 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation, 2023.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Gligen: Open-set grounded text-to-image generation, 2023

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5fe7a46-fb30-4a8f-9517-efd00d87fd4a · outbound

This paper cites Repaint: Inpaint- ing using denoising diffusion probabilistic models.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Repaint: Inpaint- ing using denoising diffusion probabilistic models

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a501742-63b3-4527-a5b3-e72d5f7b6f21 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Learning Transferable Visual Models From Natural Language Supervision

Reference 23

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Observation 1e6a5812-3058-4f54-b19e-881b904a0ca6 · outbound

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FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Unresolved cited work

Reference 24

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Observation 4435b6ad-56cc-41f0-a29f-984368d2bffa · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 25

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Source-reported events for the cited work

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Observation 2c7613c0-d0eb-4ff5-a384-aa3716cf2798 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:33.121114Z

Source-reported events for the cited work

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Observation bc135289-ec0e-4a5f-b4c5-9fc036c39bed · outbound

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

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA High-resolution image synthesis with latent diffusion models

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8a61915-a20a-460c-963d-6c1c28f37560 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA High-Resolution Image Synthesis with Latent Diffusion Models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:32.835499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c3ea559-a767-49e2-acef-058598dad125 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject- Driven Generation.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject- Driven Generation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:32.688384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cded9174-555f-4ddb-8fb0-908b33c10055 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 30

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Source-reported events for the cited work

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Observation 8c189ccf-bfff-4bf9-8380-b1fb6f9f66a9 · outbound

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FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Unresolved cited work

Reference 31

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Source-reported events for the cited work

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Observation 8371be92-6927-4922-b681-8a7670c57e83 · outbound

This paper cites Conditional diffusion models for cam- ouflaged and salient object detection.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Conditional diffusion models for cam- ouflaged and salient object detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:32.444403Z

Source-reported events for the cited work

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Observation 3a4b8fac-9f04-433c-ac54-fb526ddd946e · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:32.344563Z

Source-reported events for the cited work

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Observation d99c3e98-1cb6-491a-b598-d7605d9f0433 · outbound

This paper cites InstanceDiffusion: Instance-level Control for Image Generation.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA InstanceDiffusion: Instance-level Control for Image Generation

Reference 34

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Source-reported events for the cited work

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Observation 77ca95df-11ec-4719-9f92-32c0c8bfbabb · outbound

This paper cites Enhancing bolt object detection via aigc-driven data aug- mentation for automated construction inspection.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Enhancing bolt object detection via aigc-driven data aug- mentation for automated construction inspection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:32.214101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 261335e6-3630-4ba8-a0de-57f4a0291ce1 · outbound

This paper cites ReCo: Region-Controlled Text-to- Image Generation.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA ReCo: Region-Controlled Text-to- Image Generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:32.067898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7556fd32-da30-47c5-b6bb-db7ecd39a1a5 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA mixup: Beyond Empirical Risk Minimization

Reference 37

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Source-reported events for the cited work

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Observation 81548ae3-b1f4-4ded-9561-3520097973be · outbound

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

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Adding conditional control to text-to-image diffusion models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T14:04:31.012118Z

Source-reported events for the cited work

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Observation 042bced8-ce4c-439f-98f2-342a2f84148e · outbound

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FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:04:31.932545Z

Source-reported events for the cited work

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Observation 9d482a4d-5cb9-4caa-aef9-3f9b5d8c7dc4 · outbound

This paper cites Fast sampling of dif- fusion models with exponential integrator.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Fast sampling of dif- fusion models with exponential integrator

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:31.754630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31f72cfa-134e-4534-93a4-b47ffcbce597 · outbound

This paper cites ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T14:04:31.197999Z

Source-reported events for the cited work

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Observation 2b404fe8-7bea-4a1c-82f0-3f88715ebe59 · outbound

This paper cites Odgen: domain-specific ob- ject detection data generation with diffusion models.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Odgen: domain-specific ob- ject detection data generation with diffusion models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:04:31.613347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 404a8ff0-91b4-4903-a5a5-87b2e2e0098c · outbound

This paper cites an unresolved cited work.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Unresolved cited work

Reference 2022

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.